"Bali is open for visitors with double doses of vaccination!"
Scientific Program / Agenda

Keynote Session

Reimagining Innovation in the Post Pandemic Era

Biography

Prof. Dr. Christopher Abraham has three Post Graduate qualifications in HRM, Business Administration (Marketing), Labor & Administrative Law and is a PhD in Business Administration (Design Thinking & Innovation). He is a Certified Design Thinker from IDEO/Stanford and is a Fellow of the Chartered Institute of Marketing (FCIM), UK. He has thirty-four years’ experience in management consulting, marketing, and management education in India, Singapore and the UAE.

Currently he is the CEO & Head – Dubai campus and Sr. Vice President (Institutional Development) at the S P Jain School of Global Management, a Forbes Top 10, Economist & FT Top 100 ranked Business School, with campuses in Dubai, Singapore, Mumbai and Sydney. He has been a visiting Professor at many leading universities in Australia, USA, Canada, Singapore and UK. Earlier in Dubai, he headed the Executive MBA Program of XLRI, Jamshedpur, one of Asia’s top business schools.

His areas of competence are Innovation, Design Thinking, Behavioural Design, Neuroscience of Decision Making, Future of Education, Science of Happiness, Leadership, Marketing & Strategy.

A much sought after 3 x TEDx and international keynote speaker, he has successfully presented in numerous global forums and has also conducted many consulting and executive development assignments for global organizations, including The World Bank, The Executive Council (Govt. of Dubai), Emirates Airlines, SEWA (Government of Sharjah), Aramex, DHL, P & G, LG, AW Rostamani (Nissan Auto) etc.

Speaker Profile

Dr. Christopher Abraham Ph.D, FCIM

CEO & Head Dubai Campus

Sr.VP at S P Jain School of Global Management,
Khartoum
Sudan

The role of innovation and research collaboration in tackling the global energy technology toward the green and blue economy

Biography

Dr. Deni is a Senior Research Scientist Research Center for Advanced Materials, National Research and Innovation Agency (BRIN), Indonesia. He has also been a faculty member at the Department of Mechanical Engineering, Universitas Mercu Buana, since 2017 to present. He received his Dr. Eng. in Energy Conversion Engineering, specifically on solid oxide fuel cells, from Hirosaki University, Japan in 2016. He received various awards including the 2015 doctorate student research excellence award from the President of Hirosaki University. Dr. Deni has 14 patents, 1 licensed (commercialized) patent, 1 trademark, 1 industrial design, and has published over 70 scientific papers with an h-index of 11 with more than 300 citations.

Speaker Profile

Dr. Eng. Deni Shidqi Khaerudini

Research Center for Advanced Materials

National Research and Innovation Agency (BRIN),Indonesia

Process for municipal wastewater treatment embracing the circular economy emission reducton for cleaner production

Biography

Professor Dr. Anwar Ahmad is an Environmental Engineer and currently Professor in the College of Engineering and Architecture and Deptt. Of Civil Engineering, University of Nizwa, Sultanate of Oman. Before, he was appointed as a Professor, in King Saud University 2012-2018. Also worked in University Malaysian Pahang (Faculty of Engineering and Earth Resources) in 2009- November 2011; Jamia Millia Islamia University 2000-2007. More than 100 research paper published in high impact journal and conferences, NATURE Index J. published, 15 patents (Two US Patents), five gold medal, three silver and two bronze, 67 national and international conferences attended, edited proceedings and Documented Research reports More than 47 Ph.D and Master students completed degree under his supervision. He completed more than 35 projects national international levels and actively involved in many collaborations with industries, universities and academicians. He is organized a number of training program and symposia for the benefits of practicing engineer and professionals. Current research areas: Wastewater electrolysis for bioenergy, electricity, hydrogen and sustainable energy production, established industrial high demand research center (national innovation center, sustainable design and design renewable sources energy), Industrial ecology and sustainability approach for energy and materials decarbonation flow production and environment, Assessment carbon sustainable development

Speaker Profile

Dr. Anwar Ahmad

Professor

University of Nizwa, Civil and Environmental Engineering Department, Nizwa, Oman.


Transforming Education Through Techology Driven Experiential Learning

Biography

Abdy is the Founder and President of MonsoonSIM, a Business Simulation and Experiential Learning platform currently used by over 200 academia for over 90000 learners globally. Abdy believes in advancing education through technology. He is passionate about creating a level playing field for all education institutions through innovative transformations. He and his team have come up with a unique "horizontal experiential learning model" (click https://www.youtube.com/watch?v=c9DgEUgK99M to learn more) that is now implemented fully in MonsoonSIM. Abdy is a frequently invited speaker in various international conferences on Business Simulation and Experiential Learning. Countries include USA, Australia, UK, Canada, India, Estonia, Ukraine and China. Abdy is an entrepreneur with 30 years of enterprise software development experience. Throughout his career, Abdy had worked for global software vendors SAP, IFS and Unisys holding various executive positions in Los Angeles, Jakarta, Hong Kong, Shanghai and Singapore. Abdy graduated from the University of Southern California with a Masters in Computer Engineering

Speaker Profile

Mr. Abdy Taminsyah -

CEO and Founder,MonsoonSIM

Perth, Western Australia, Australia.


Technical Session

Research of scanning speed and orientation of the model to the resulting surface roughness in the process of Selective Laser Melting

Abstract

The article focused on the influence of part orientation on the surface roughness of cuboid parts during the process of fabricating by SLM technology. The components, in this case, is simple cuboid part with the dimensions 15 mm x 15mm x 30 mm. SLM or Selective Laser Melting is Additive manufacturing technology based on the Powder Bed Fusion process. SLM is designed to use high power-density laser to melt and fuse metallic powder. A part is built by selectively melting and fusing regions of metallic powders within and between layers. For the research purposes, five different orientations in the X-axis of the cuboid part were set: 0°, 30°, 45°, 60°, and 90°. The internal structure was set at a value of 100%. In this research, we manufactured five specimens for scanning speed 650 mm.min-1 and five specimens for scanning speed 1000 mm.min-1. In the research metallic powders were used, namely austenitic stainless steel SS 316L. In this experiment, we manufactured a total of 10 specimens. Surface parameters (Ra, Rz, Rq) were measured five-time in a row for each print. Prints were carried out on an SLM machine from Renishaw with the designation AM400. After the 3D printing, the surface “A” was investigated by portable surface roughness tester Mitutoyo SJ-210. Surface roughness in the article is shown in the form of graphs. Results show an increase in part roughness with an increasing degree of part orientation. When the direction of applied layers on the measured surface was horizontal, a significant improvement in surface roughness was observed. Findings in this paper can be taken into consideration when designing parts, as they can contribute to achieving lower surface roughness values.

Presenter

Jan Milde

Wide Bandpass Filter Composed of First-Order and Second-Order Active High Pass Filters Simulated Using MATLAB and Multisim Live

Abstract

This term project aims to simulate a wide bandpass filter that is composed of first-order and second-order high pass filters that are cascaded in series. The filters are composed of 3-terminal op-amps, 1V AC source with 1kHz frequency, 1uF capacitors, and 1k-ohm resistors. To determine the phase shift and frequency response, the filters are simulated in Multisim Live using AC sweep analysis. On the other hand, to acquire the step response and root locus plot of the circuits, they are treated as control systems and their transfer function formulas were simulated using MATLAB. At the end of the study, the researchers were able to confirm the different properties and parameters these filters have.

Presenter

Asst. Professor. Donabel D. Abuan

Improving The Sustainability of Cosmetics Small and Medium Industries: A Case Study

Abstract

Inefficiency and environmental hostility are major concerns in cosmetics small and medium industries (SMIs). Sustainability has become a goal desired by cosmetic customers. This study aims to encourage the development of sustainable cosmetics SMIs by integrating lean and green principles into production practice. This research combines the lean and green methods and tools suitable for SMIs, namely, green value stream mapping and life cycle impact assessment to evaluate manufacturing waste and environmental impact. We conducted kaizen events to improve existing processes. A case study of a liquid face soap manufacturing company was analyzed. The proposed ideas improved their manufacturing cycle effectiveness (MCE) by 1.8%, shortened inventory lead time by 36%, and reduced environmental impact by 33%. The company also achieved monthly electricity cost reductions of 41%. Despite an insignificant rise in the MCE, this study highlights the scope for using lean and green principles for social-environmental improvement, particularly in reducing damage to human health. Various other industries can emulate these methods.

Presenter

Uly Amrina

The Integration Of Business Process Reengineering and Snell X's Enterprise Resource Planning For Efficiency And Effectiveness: A Case Study Of Cosmetics And Household Sub Sector Companies

Abstract

This research discusses about the system improvement using Business Process Reengineering (BPR) framework integrated with Enterprise Resource Planning. The object of this study is the business process of cosmetics and household goods sub-sector company. This study carries the problem of supplier lead time when shipping raw materials supply which results delays in production. Furthermore, the Business Process Reengineering method used for this study aimed to reduce the sub-process time with support of IDEF0. Process mapping was carried out by doing interviews and Focus Group Discussions (FGD) with three experts. This study results the process of As-Is and To-Be that reduced the business process time up to 36%. By the improvement of time efficiency, the cosmetics and household goods sub-sector company experiences rapid changes in working hours. In addition, with the ERP implementation of Snell X's, it helped the workers to carry out their job only by one integrated business management application

Presenter

Muhammad Isa Lufti

Utilization of Waste Heat Recovery to Reduce Water Content in Low-Calorie Coal with Fluidized Bed Dryer

Abstract

Coal drying process using FBD (fluidized bed dryer) which utilizes low temperature waste heat, especially from industrial air heaters, has been developed in the United States by the GRE (Great River Energy) team since 1997. Technology is still considered an expensive investment. This study uses a prototype FBD with a drying heat source is an air heater that simulates the amount of water content that can be removed in low-calorie coal for boiler use. Furthermore, it can be considered the use of waste heat recovery from machines in the industry as a substitute for the energy source of the dryer by the air heater. The water content or Total Moisture Content that can be removed by using FBD with an air heater dryer energy source is 20%. The savings due to TM which has decreased by 20% in the industrial scale of the power plant can be calculated as 650,289 EUR/Year. The savings will be even greater, if the energy of the air heater dryer is replaced with waste heat recovery from industrial machines such as air heaters or boilers

Presenter

Nanang Ruhyat

The Impacts of Internal and External Factors on Developing Global Digital Innovation: A Case Study of the Provincial Electricity Authority in Thailand

Abstract

The study aimed to investigate the impacts of internal and external factors on developing global digital innovation by means of a case study of the Provincial Electricity Authority (PEA) in Thailand. The research framework was based on the concepts of disruptive leadership, Thailand 4.0, Industry 4.0, PEA Digital Utility or Electric Utility of the Future, ICT/Digital Innovation, and Sufficiency Economy Principles (SEP). The research sample group comprised 419 PEA employees randomly selected from throughout the country. The research tools consisted of structured questionnaires on content and technical quality validated by five qualified experts. Assumptions of multiple regression analysis- normality, linearity, no multicollinearity, independence, and homoscedasticity were examined. The data verifying the assumptions were analyzed by multiple regression and PEA Digital Utility, Industry 4.0, ICT/Digital Innovation, Disruptive Leadership, and Thailand 4.0 were estimated for the development of global digital innovation. It was also found that most PEA employees, or 51.55 percent, refer to the innovation they know of as PEA Smart Plus. This is because PEA will focus on the use of communication technology to improve efficiency in the distribution system which is the foundation for further development of other parts of the system. Furthermore, most PEA employees identified innovation as being environmentally friendly.

Presenter

Thanachai Rungruang

Planning and Control of Information Security on Infrastructure IT Management Project in Pharmaceutical Industry with ISO27001:2013 Approach

Abstract

The success rate of implementation and development of IT Infrastructure technology on the pharmaceutical industry in Indonesia is greatly influenced by project management readiness. One aspect that receives little attention in project implementation is information security control. This aspect is a critical point that the instance must manage to maintain information security from the confidentiality (C), integrity (I), and availability (A) sides. The data from the pharmaceutical IT security team in 2021 also shows that there have been incidents caused by internal and external threats of 2928 every month and have a close correlation with the IT Infrastructure project. So that in this study a plan and governance of the application of information security controls to IT Infrastructure management projects using the ISO 27001: 2013 approach will be carried out. The application of these security controls is expected to reduce incidents and can be a recommendation to address vulnerabilities to security threats that could affect future business processes

Presenter

Hery Sapto Dwi Nurcahyo

Arduino Based Obstacle Avoiding Robot with Ultrasonic Sensors and Motor Functions

Abstract

A simple robotics project simulated in Tinkercad based on Arduino Uno. It utilizes ultrasonic sensors for obstacle detection and two DC motors for movement. An LCD screen is used to print text when an obstacle is detected and so on

Presenter

Asst. Professor. Donabel D. Abuan

Performance Evaluation of 5G in Sub-6GHz

Abstract

As a successor to the present 4G technology, 5G is a modern technology with a new interface that is being developed. The main purpose of 5G is to deliver a diversified collection of services to clients worldwide, including fast data speeds, wider coverage, low latency, cheap cost, high system capacity, and a variety of connectivity alternatives. Every major carrier intends to build both millimetre wave and sub-6 5G networks, but they choose to start with the lowest frequency bands and work their way up the frequency spectrum. The sub-6 spectrums are a better option for 5G. The recent deployments of the 5G networks are focused on the sub-6GHz spectrums. However, there are limited works reported on the 5G in sub-6GHz and this has motivated us to evaluate the performance of the 5G network in sub-6GHz spectrums. This project evaluates the performance of a 5G sub-6GHz network and the performance of the 5G is compared with the 4G Long-Term Evolution (LTE) network. The Vienna 5G System Level Simulator is a numerical model of wireless communication networks that is used to develop and improve mobile communication standards. It allows the community to do repeatable simulations of crucial scenarios in preparation for 5G and beyond. The performance of the 5G sub-6GHz throughputs is evaluated using the Vienna 5G Simulator. Extensive simulation works that considered a variety of factors, i.e., bandwidths, the number of users, users speed, and carrier frequencies were carried out to evaluate the performance of the 5G sub-6GHz network. The numerical findings indicate that 5G sub-6GHz performance is always better than LTE performance under identical simulation circumstances, demonstrating that 5G always outperforms LTE. The average cell throughput of the 5G sub-6GHz is 8 times more than the 4G network. The average peak throughput dropped when the mobility speed of the users increased. The throughput of the 5G network is directly proportional to the frequency bandwidth allocated.

Presenter

Arvindraj A/L Ravi Chandran

Smart IoT Mobile Medication Dispenser

Abstract

The increase in the population of senior citizens created a new challenge of the shortage of healthcare workers to take care of the elderly. The elderly with multiple chronic conditions face problems in managing their daily medication intake. This has inspired us to design a low-cost Smart Internet of Things (IoT) Mobile Medication Dispenser (SMMD) to take care of the daily medication intake of the elderly. SMMD consists of hardware (medication dispenser) and software (an app for the user to control the SMMD and program the time to dispense the medication). The NodeMCU is used to control the stepper motor, organic light-emitting diode (OLED), and motor driver. The OLED displays the current time and the time set by the caregiver/elderly to take the medicine. The SMMD with three wheels enables it to move and dispense medication to the elderly. The NodeMCU is connected to the Firebase database to access the time required to dispense the medicine. The total cost of SMMD is USD50 and is affordable for the elderly from the lower-income group and making the process of taking medicine not a hassle for the elderly. The price of SMMD can be much lower when it is mass-produced

Presenter

Ir. Dr. Pang Wai Leong

Uses of Artifical intelligence in healthcare system:A review

Abstract

Artificial intelligence (AI) has come a long way in the last several years, both in hardware implementation and software algorithms and applications. This paper examines recent advances in artificial intelligence applications in biomedicine, such as living aid, illness diagnosis, biomedical research, and biomedical information processing. It also reviews deep learning as a technique in Artificial intelligence in healthcare and compares it to traditional methods. This review will better comprehend technology availability, keep the pace of new scientific developments, appreciate the enormous potential of artificial intelligence in biomedicine, and inspire researchers working in related domains. It is fair to say that the use of AI in biomedicine is in its early stages, like artificial intelligence itself. Artificial intelligence will continue to push the boundaries and broaden the scope of its applications as new improvements and discoveries are made, and substantial advancements are projected shortly.

Presenter

Piyush gupta

IOT based Smart Environmental Monitoring for Oyster Mushroom Production

Abstract

This paper presents an Internet of Things (IoT) smart environmental monitoring for oyster mushroom production which is based on Arduino microcontroller. These IoT sensors measures various changes like the humidity and temperature and sent to the Arduino microcontroller for configuring the control algorithm. Oyster mushrooms (Pleurotus ostreatus) can be produced from a wide array of agricultural waste material, which makes them the easiest mushrooms grown. It can grow at moderate temperature ranging from 20 to 300 C and humidity 55-70% for a period of 6 to 8 months in a year. The misting system can automatically control the water pumping system on the misting site based on the moisture content of the soil media acquired from the moisture content sensor. Misting is the best and widely used to get good propagation, a balance in humidity and transpiration is needed to allow water and nutrient uptake without excess dehydration especially in mushroom culture. If the growing medium is also saturated with water, there is a potential for the growth of bacteria.

Presenter

Jayson J. Elenzano

The effect of chilled casting ductile iron to the shringkage porosity on the surface of the Y-Shaped specimen

Abstract

One of the surface hardening processes is chill casting. Chill casting is used for surface hardening of nodular cast iron materials. The problem that often occurs in the chill casting method is porosity which is influenced by the fast cooling rate between the casting object and the mold wall. This study aims to analyze the microstructure, hardness, and porosity that will form on the surface of the Y-shaped specimen after chilled casting. The material used for casting the Y-Shape specimen is nodular cast iron and the chill material is stainless steel plate. The chill is varied with a thickness of 0.2mm and 0.4mm and will be coated on the surface of the sand mold wall then the chill is preheated at a temperature of 700oC and 900oC, then pouring is done at a temperature of 1400oC. The average hardness value on the surface of the specimen is 500HV-900HV, but in the middle area the hardness only reaches 200HV while the microstructure results in the surface layer are cementite and ledeburite phases, but in the middle area ferrite, and perlite are seen surrounding the nodule graphite structure. In the chill-coated area, although the hardness is high, there are micro-porosities and macro-porosities formed randomly.

Presenter

Justino Martins Salsinha

Vehicle Speed Prediction Using YOLOv4 and XGBoost Regression

Abstract

There are so many ways to detect vehicles’ speed these days, which can be categorized into two different approaches: a non-computer-vision based and a computer-vision based. In this paper, we propose a computer-vision-based approach using YOLOv4 and XGBoost Regression. To predict vehicles’ speed efficiently, we use YOLOv4 for vehicle detection and XGBoost regression for speed prediction. In order to get the best speed prediction, we build our dataset by recording the local traffic and measuring their speed using a speed gun. From those traffic videos, we detect vehicles by using YOLOv4 to generate its bounding boxes. From the bounding boxes, we can extract its coordinates relative to the screen and its time to get from point A to point B. This information will be our input, and the speed from the speed gun will serve as the target to train our XGBoost regression model. In this paper, we conduct several experiments using various inputs and parameters to get the best model. Our experiments conclude that our speed prediction approach using YOLOv4 and XGBoost regression has a very high performance regarding to the ground truth with an MAE of just 2 km/h.

Presenter

Yafet Jaya Kusumo

Regression Test List Sharding in a Distributed Test Environment Presenter

Abstract

One of the major issues during the regression test of the new version of Real Time Operating System (RTOS) is the time involved in test case execution. The main reason being a single embedded system device under test (DUT) is used to execute the test list containing several test cases. This traditional method of regression test also leads to wasted productivity of the other devices at hand that could be otherwise used during this regression test. Hence, in this paper, we propose a technique that aims at reducing the overall regression test cycle time of a newer version of a Real Time Operating System (RTOS) by employing a method known as “test-list sharding” in a distributed test environment. In the proposed work, multiple DUTs are connected to the test server via a communication network. The test server executes the test list containing several test cases and performs the test-list sharding, that is, distributing test cases to different DUTs and executing them in parallel. After the test is executed on the DUT, the test results are sent back to the test server which will summarize all the results. In the proposed work, the sharding is done by distributing the test cases without overloading or under loading any of the DUTs. Test list is sharded in such a way that the same tests are not sent to multiple DUTs. The main advantage of the proposed method is that the test sharding can be easily scalable to accommodate any number of devices that can be connected to the test server. Also, the test list sharding is done in a dynamic way so that the tests are distributed to an idle DUT that has completed a test execution and ready for another test to execute. The comparison study of executing a sample test list sequentially on a single DUT and distributed test system with multiple DUTs is performed. Results obtained showed the performance gain in terms of test cycle time reduction, scalability, equal load distribution and effective resource utilization.

Presenter

MICHELLE GONSALVES

Design of River Floating Trash Traps Using Recycled Plastic Bottles and Waste Analysis and Characterization of Collected Waste in Odiongan, Romblon, Philippines

Abstract

Water pollution is a significant problem in the Philippines, and rivers are one of the bodies of water that are affected by this pollution. Accumulation of solid waste from rivers that hinder the quality and life below water is one reason for this pollution. According to the Comprehensive Land Use Plan of the Municipality of Odiongan, rivers and creeks are used as solid and liquid dumping sites, resulting in pollution. This project aims to design floating trash traps installed in the municipality's three (3) rivers. These plastic-made traps are strategically placed near downstream rivers to stop solid waste from floating further downstream without hampering aquatic life movements and are installed in a parabolic path to maximize their collection capacity. The materials used in the proposed design consist of plastic bottles, poultry net, and nylon. Fieldwork was done at the rivers and characterized the collected wastes by their wet weight. The floating trash traps generated a total of 260.56 kilograms. A total of 74% (193.08 kilograms) of biodegradable waste were collected, consisting of leaves, twigs, logs, driftwoods, and branches of trees. For non-biodegradable, 5% (13.3 kilograms) of trash were gathered containing plastic packaging, styrofoam, miscellaneous plastics, and cigarette butts. 15% (39.05 kilograms) of the waste is recycled material (plastic bottles and cans), and 6% (15.13 kilograms) is residual waste, mainly heavily soiled plastics, were accumulated. In conclusion, the design of the floating trash traps has been proven as a potential solution for collecting marine wastes, particularly in rivers.

Presenter

ANALYSIS OF CONSTRUCTION PROJECT PERFORMANCE DURING PANDEMIC COVID-19 BASED ON RISK

Abstract

The rapid spreading of the Coronavirus throughout the world is terrifying. In order to slow down the transmission of the above-mentioned virus the government has no choice but to apply the health protocol to protect its citizens from getting infected. There are steps applied to protect its citizens, such as large-scale restrictions. The restrictions cover working hours, and workers' numbers. However applying this strategy affects the economic and business sectors, especially the construction sector. This study aims to analyze the performance of construction projects in Indonesia during pandemic COVID- 19 based on the risk. Furthermore Toll Road Tebing Tinggi-Prapat, North Sumatera, is chosen for the object of the research. Literature review and questionnaire will be used for gaining the data. The probability and the impact matrix are the methods used to analyze the risk. In additionThere are 23 respondents selected to complete the questionnaires. The research found out that there were eight high risks such as follow. Late payment from the employerCritical activity delay; Financial impact; additional cost limited working hours of the employees; Interruption of Planning and scheduling; Supply shortage. This study is considered essential for construction during the COVID-19 outbreak and the main purpose is for a vital project to keep running.

Presenter

Dr. Ir. Mawardi Amin, MT

AUTOMATED STUDENTS' RATING DISTRIBUTION SYSTEM FOR LOCAL COLLEGE

Abstract

It is imperative for educators to provide frequent and immediate feedback concerning the academic performances of their respective students. However, this mandate is quite taxing to implement without an automated system in place. This applied research is all about an automated system that may be used in the distribution of the students’ academic performance ratings. The agile software development methodology has been employed; a number of stakeholders also used a product quality evaluation system - the ISO/IEC 25010. The system achieved the research participants’ expectations about the facets of a quality software product. Such is also a commendable start for the promotion of e-governance in the academe, once the said application program has been ultimately implemented and maintained.

Presenter

Gemmar Lumot

CLOUD BASED AGILE TEST AUTOMATION USING OPEN SOURCE TOOLS

Abstract

Cloud Automation Testing is a concept that entails testing cloud-deployed applications that make use of cloud-based resources. Companies can save provisioning time by employing a cloud infrastructure system for testing because the cloud allows test servers to be provisioned as needed. Selenium is a free and open-source testing tool that may be used to test a variety of online applications. However, selenium has a number of drawbacks, including the inability to generate structured reports and cross-browser testing. To work around these issues, selenium is frequently combined with additional tools like as JMeter, Junit, and Test-NG. By combining and comparing several tools that are expected to be effective for cloud automation testing alongside selenium, this article presents a study of some of the technologies that are estimated to be effective for cloud automation testing by combining and comparing various technologies together with selenium

Presenter

VAMSI KRISHNAN

DESIGN OPTIMIZATION OF COMPOSITE RESIN PELTON TURBINE BUCKET USING SOLIDWORKS

Abstract

The Pelton turbine is a type of water turbine whose working principle utilizes the potential energy of water which is converted into kinetic energy through a nozzle. The fluid coming out of the nozzle push the bucket and rotates the Pelton turbine which ultimately produces electrical energy. Micro-hydro power plants that usually use Pelton turbines need to be developed to remote villages to meet electricity needs in Indonesia. Pelton turbine buckets, which are usually made of metal, are not only difficult to manufacture so they have to be specially ordered, but also easy to rust. Therefore, in this study, the bucket was made easier and simpler using an epoxy resin composite material reinforced with palm fiber. This makes it lighter and more corrosion resistant. The results of this study indicate that the epoxy composite fiber reinforced with 9% fiber volume has a higher tensile strength than the volume fraction 0%, 3%, 5%, 7%. The maximum tensile strength for 9% fiber content is 32.61 N/mm2. Then the tensile strength results are applied to the Pelton turbine bucket geometry with laboratory scale sizes that have been varied into 3 different size models in: bowl width (b), bowl height (h), and bowl height (h1). All variations of the laboratory scale bucket design that were simulated using solidworks software with 33.055 N loading had a safety factor above 6. The bucket design that has the highest safety factor is design 3 where the minimum deformation is 0.07922 mm, stress is 2.6670575 N/mm2, strain is 0.000557, and the safety factor is 6.945.

Presenter

Fadth Rizky Damanik

Full Factorial and Taguchi Design for The Impact Strength of Oil Palm Fibre Reinforced Composite : A Comparative Study

Abstract

In this research, Taguchi Method is used for optimizing the quantity of the samples in investigating the properties of composite material. The objective of this study is investigating the validity of Taguchi method to optimize the sample quantity in the research on the impact strength of polymer matrix composite reinforced with oil palm fibres. The result was compared to the full factorial design. There were 3 factors used in this work, i.e.: fibre contents/ percentage, Fibre length and chemical treatment. Every factor consists of three levels. The fibre contents were varied into 3 different percentages: 5%, 7% and 10%. The fibre lengths were also varied in three sizes: 5mm, 7mm and 10mm. The level of chemical used factors consist of Untreated, Treated and Coupling agent. NaOH is used here to treat the fibre while PPgMA (Polypropylene grafted Maleic Anhydride) is used here as the coupling agent. The analysis graph, from the two methods were obtained almost same graph. The analyze of multiple regression analysis also results similar regression equation, with the p-value of all independent variables also below 0.05 which indicated all independent variables are significant. Even There are little different in coefficient number of the two equations. But still too small. Taguchi method has succeeded in making research more efficient. The use of a small number of sample combinations is able to produce good analytical validity, equivalent to a complete factorial method which is 3 times the number of combination samples.

Presenter

DEVELOPMENT OF FLOATING PLTS AND UTILIZATION OF FLOOD EARLY WARNING EQUIPMENT IN BENING WIDAS DAM, MADIUN, EAST JAVA

Abstract

The search for alternative energy is increasing along with the increasing global demand for electricity. Utilization of dam as an alternative energy source using a floating solar power plant (PLTS) by utilizing the pool area of the reservoir. Floating PLTS is a flagship program, the electricity price is quite good, licensing is simpler, does not require land acquisition, and can be developed with a large enough capacity. This research utilizes the open space of the Bening Widas Dam, Madiun, Indonesia to be developed as a floating solar power plant. The research method uses quantitative analysis of secondary data to calculate rainfall intensity, planned flood discharge and PLTS design on the surface of the water and the Global Solar Atlas application to calculate the duration of sunlight around the reservoir. The results showed that the area of inundation in the Bening Widas Dam was 570 ha, with a maximum utilization of 5%, namely 285,000 m2. This is in accordance with the Regulation of the Ministry of Public Works and Public Housing PUPR Ministerial Regulation No. 6 of 2020, namely the determination of the use of dams for generating purposes is 5% of the inundation area of the dam at normal water levels. The value of Global Horizon Irradiation (GHI) around Bening Widas dam is 1,962.3 Kwh/m2. The role of the Bening Widas dam as a flood controller can be maximized by placing an EWS tool called FEDS (Floods Early Detection System), a flood early detection tool equipped with sensors for rainfall, water discharge and water level.

Presenter

Agung Wahyudi Biantoro

FISGA-IAE ASVSF Algorithm for Effectively Solving the Localization Problem of a Mobile Robot

Abstract

The use of Smooth Variable Structure Filter (SVSF) has been successfully overcoming the Localization problem. Generally, its performance depends on the knowledge of noise statistics for the process and measurement. Because this knowledge is not available, both are determined and kept to be constant for all iterations. However, this approach will lead SVSF to the divergence condition. Accordingly, a novel improvement, namely FISGAIAE ASVSF, is proposed in this paper. This name represents the role of the Genetic Algorithm (GA) used to optimize the Fuzzy Inference System (FIS) that is initially applied for enhancing the adaptive SVSF. Unlike the traditional way, this strategy can recursively update the noise covariance of the process 𝑄 and measurement 𝑅. In detail, FIS supervises the adaptive SVSF to reduce the mismatch between the reference and estimated covariance of error innovation. To effectively arrange the membership function of FIS, the GA is adopted. Lastly, it is implemented to solve the localization problem of mobile robots in the synthetic simulation perception. By using the term RMSE, the comparatively presented results are analyzed. And the proposed method shows better performance in terms of accuracy and stability.

Presenter

Heru Suwoyo

Analysis and Design of Self-service Local Water Company (LWC) using Vernam Cipher Cryptography Algorithm

Abstract

The main factors affecting the performance of Local Water Company (LWC) when managing consumable water distribution in Indonesia are the level of non-revenue water, less water usage effectiveness, and less efficiency of billing records and customer complaints about services that do not become available up to 24 hours. This happens because the process is still done manually, so errors and fraud are often found. Other than that, there is a lot of complaint from customers about the value of water usage that is not matched with the amount of the bill, and officers who did not come to houses located in some specific areas.

This research aims to provide a solution that proposes the design of an LWC recording and billing system with a practical and safe prepaid Self-Service method. This prepaid Self-Service method is divided into two main functions. First, the real-time calculation function is designed to solve the efficiency problem in recording water usage. Second, the self-payment token’s function is designed to resolve constraints related to data processing and bill payment. It was generating tokens for self-payment token functions built using The Vernam Cipher Cryptographic Algorithm, which is programmed using the Android platform and Arduino IDE. Token will be sent to other devices through Bluetooth Serial Communication.

The results showed that making the self-payment token function using The Vernam Cipher Cryptographic Algorithm was successfully performed. The encryption token consisting of 48 characters can be automatically transferred to other devices using Bluetooth serial communication. The encryption process takes about 0.34 seconds, and the decryption process takes about 0,20 seconds.

Presenter

Andi Adriansyah

Analysis and Design of Self-service Local Water Company (LWC) using Vernam Cipher Cryptography Algorithm

Abstract

The main factors affecting the performance of Local Water Company (LWC) when managing consumable water distribution in Indonesia are the level of non-revenue water, less water usage effectiveness, and less efficiency of billing records and customer complaints about services that do not become available up to 24 hours. This happens because the process is still done manually, so errors and fraud are often found. Other than that, there is a lot of complaint from customers about the value of water usage that is not matched with the amount of the bill, and officers who did not come to houses located in some specific areas.

This research aims to provide a solution that proposes the design of an LWC recording and billing system with a practical and safe prepaid Self-Service method. This prepaid Self-Service method is divided into two main functions. First, the real-time calculation function is designed to solve the efficiency problem in recording water usage. Second, the self-payment token’s function is designed to resolve constraints related to data processing and bill payment. It was generating tokens for self-payment token functions built using The Vernam Cipher Cryptographic Algorithm, which is programmed using the Android platform and Arduino IDE. Token will be sent to other devices through Bluetooth Serial Communication.

The results showed that making the self-payment token function using The Vernam Cipher Cryptographic Algorithm was successfully performed. The encryption token consisting of 48 characters can be automatically transferred to other devices using Bluetooth serial communication. The encryption process takes about 0.34 seconds, and the decryption process takes about 0,20 seconds.

Presenter

Andi Adriansyah

Experimental Investigation on Flap Peening Process of Aluminum Alloys Sheets at Various Flapping Rotational Speed

Abstract

In this paper, flap peening treated of 2024 T3 aluminum alloy sheets with 2.5 mm thickness were investigated and presented. The specimens used for the studies were taken from Airbus A330-200 aircraft fuselage skin near the waste vent hole area. There are 5 specimens were investigated. The first specimen is a sheet in a good condition and the rest were damaged by corrosion. The sheets were blended out to remove corrosion areas and sharp edges. Furthermore, the flap peening was applied to improve the characteristics of the material surface at various rotation speeds (1500, 2500, and 3500 rpm). For investigation, the tensile strength and hardness of the specimens were measured to study the effects of the repair process. Afterward, the specimen’s macrostructure was investigated to see the effect of these parameters on the metal surface. The macrostructure results show there was a significant modification on the surface morphology of samples with flap peening treatment. The measurements show there was a significant improvement in strength and hardness after flap peening was applied. Although flap peening application at 3500 rpm resulting better material properties, the difference is not significant compared to the 2500 rpm rotational speed.

Presenter

Andi Firdaus Sudarma

Effect of Ultrasonic and Ball Milling Process on particle size, specific surface and its Agglometaion of Metallic Interconnect Material

Abstract

Metallic material become interesting field for interconnect application that have high thermal stability and oxidation resistant at high temperature. Main problem is the agglomerates powder and grain growth of metallic material that lead to interconnect material properties decrement. Therefore, main objectives of this research is to develop small size particle to nano range size and homogenous particle size. The methods of this research was performed though high energy ball milling for 60 h and ultrasonic bath for various holding time of 3, 3.5, 4, 4.5 and 5 h. The analysis and characterization process will be conducted by particle size analyzer (PSA) and Scanning Electron Microscopy (SEM) with magnification of 1000 and 2000 times. The result shows that the particle size decreased gradually from UT samples, Milled 60 h samples and to milled 60 h and UT samples. Its shows that particle size of 38.67µm for raw material, 11.45µm for UT 4.5 samples, 6.27 µm for milled 60 h sample and 5.23 µm for milled 60 h and UT 4.5 h. Fine surface structed and even particle size was shown by UT samples and combination samples due to high energy bubbles through liquid media that collide the material.

Presenter

Dafit Feriyanto

Coating Thickness Analysis of Electroplated FeCrAl Material for Metallic Catalytic Converter Application

Abstract

One of the most technologycal to develop and adhere to the catalysts on the FeCrAl substrate are based on electrophoretic deposition. The objectives of this research is to investigate the coating thickness on FeCrAl metallic material for catalytic converter. The electrolyte prepared with distilled water, at a constant temperature of 40±50C, and pH value is 5 using HCl and NaOH reagent. A nickel (Ni) plate substrate acted as anode with dimension of 50 mm x 10 mm, whereas a FeCrAl acted as cathode with dimension of 40 mm x 20 mm. The electroplating was conducted for several times of 15, 30, 45, 60 and 75 minutes, current density of 8 A/dm2 and 3 g γ-Al2O3 inserted into the beaker for each sample. Coating thickness analysis on cross section of the coated samples were carried out using Scanning Electron Microscope (SEM)-Energy Dispersive Spectroscopy (EDS). The result shows that the UBdEL samples has lowest coating thickness of 5µm, the coating thickness of Electroplated FeCrAl increased for 11.3µm and the highest coating thickness signed by UB+EL samples for 12µm. Higher coating thickness potential to increase the thermal stability due to protective oxide layer on FeCrAl substrate material.

Presenter

Dafit Feriyanto

Crystallite size and Solid Solubility Cr to Fe analysis of Fe80Cr20 Interconnect Material Treated by Ultrasonic and High Energy Ball milling Process.

Abstract

In the current research, there is high interest in nanocrystalline iron and chromium based alloys. The iron-chromium has long been used by many engineering alloys as basis in high-strength and corrosion-resistant applications such as for fuel cell interconnect. The problem is there is high crystalline growth at high temperature operation up to 1000 0C. Therefore, this research investigates the crystallite size and solid solubility of the Fe80Cr20 metallic material that projected have high thermal stability to applied as Interconnect fuel cell. The method of this research was conducted through high energy milling for 60 h and ultrasonic bath by frequency of 35 kHz and various holding time of 3, 3.5, 4, 4.5 and 5 h. The analysis of the crystallite size and solid solubility were conducted by X-Ray Diffraction (XRD) with diffraction angle of 10-900 and operation time of 25 minutes. High energy ball milling is the most effective technique to reduce the crystallite size up to 96 % and it combined with ultrasonic achieve 2.171 nm crystallite size and improve the solid solubility up to 86.4 % as compared to the raw material. These results achieved high energy kinetics and the ball slugging the powder during ball milling process.

Presenter

Imam Hidayat

Functionality, electrostatic discharge and power quality magnetic analysis of the Speed Limiter Integrated Fatigue Analizer (SLIFA)

Abstract

Safety devices of the truck and bus critically needed to minimize the possibility of road accident. Several factors found to cause traffic accident, such as external, attitude, fatigue, over speed and technical vehicle (maintenance shortfalls). Therefore, the objective of this research is to investigate the functionality, electrostatic discharge and power quality magnetic analysis of the Speed Limiter Integrated Fatigue Analizer (SLIFA). The dimension of SLIFA is length,width and height 154 mm x 76mm x 57 mm. Assembly process of the electronic component was conducted after an electronic simulation component by PROTEUS software. The result shows that the SLIFA successfully limit the speed through function test using simulator, on vehicle and on the road with selected speed up to 100km/h. ESD test shows all components working at various current of 0.5, 1, 2, 3 and 4 kV in both polarity. PQM result shows that no degradation of function and damage occur during the test indicated by empty step size and fail value.

Presenter

Hadi Pranoto

Dominant Factors in Value Engineering Aims for Improving Function and Cost Reduction in Jakarta Green Building Project

Abstract

The concept of green building becomes the basis for efficiency resources and environmentally friendly. The concept is carried out through the planning, construction and building operation by minimizing waste and negative impacts on the environment. The application of this concept potencially for increasing costs. The risk of increasing costs especially in initial building cost needs to be eliminated by improving function with the Value Engineering (VE) method. The effectiveness for implementation of VE important to know about dominant factors about VE method through development stages. The reseach objective is to find out the relationship between variables VE aims (Y), VE stages (X1), Development stages (X2) and VE methods (X3). Research implementation by survey with quetioner to responden in Jakarta green building project. Data compiling from owner, consultant and contractor staff organization. Correlation result between variables calculated with mean value at 21 indicators. Calculation proceed by SPSS signify, strongly correlation variables Y and X1, Y and X3, X1 and X3. The result indicate all VE factors are important to be implementation. In development stages, VE implementation are important in the planning stage of cost estimation and operational efficiency.

Presenter

Budi Susetyo

Ferrocement Structural Components Molded from Ordinary PVC Pipes: Tests for Low-Cost Housing Use

Abstract

The integration of ferrocement as structural element in a building is one of the breakthrough studies that promotes sustainability and environmental protection. Several studies have been conducted and applied globally yet has not been fully developed in the Philippines. This project intends to first, evaluate maximum compressive stress and maximum bending stress capacity; and second, evaluate cost-effectiveness of the material and manufacturing process for hollow-cored columns and beams made with ferrocement. A total of 4-set of 4m hollow-core ferrocement samples with varying cross-sections, and another 4-set of 0.3m were designed and prepared for the flexural and compressive strength tests, respectively. Commercially available 3-inc uPVC pipes were used as an inner form to support the wire mesh and mortar cement. The house is now designed with 36 single pipe cross-section of various heights and 23 double pipe cross-sections acting as columns. Most of the double pipe cross-section were installed as columns hidden in the firewall. This is to follow the National Building Code Provisions of having firewalls not less than 150mm in thickness for fire and heat resistivity. The total bill of materials for the designed house is calculated to be at 391,000.00 pesos. Under the current administration, the total cost of the unit would still fall below the new costing rules for the National Housing Administration. In essence, it can be concluded that a ferrocement house can be created using modular members which can carry the loads safely and is cost efficient.

Presenter

VERA KARLA CAINGLES

EXPLORING CHALLENGES AND OPPORTUNITIES IN INTERNSHIP AMIDST PANDEMIC USING SENTIMENT ANALYZER FOR INTERNS

Abstract

An internship is a period during which students can get work experience related to their studies. This study aims to find out the challenges and opportunities that the IT, Business, and Accountancy students experience while conducting their internship program amidst the Covid-19 pandemic.

The researcher used a qualitative approach in data collection from 12 participants from Information Technology, Business, and Accountancy students who conducted their internship during the pandemic. The respondents were interviewed online through semi-structured questionnaires, and the information collected was recorded, refined, and analyzed using Monkey Learn sentiment analysis.

The study discovered that students have some difficulties adapting to work-from-home internships due to the Covid-19 pandemic. The findings show that students frequently encountered issues such as the need to learn new software and IT tools, difficulty locating companies, an unstable internet connection, a lack of necessary resources for the job, lack of supervision, noise and distraction in the workplace, limitation of the task assigned, and difficulty collaborating with other interns. However, they highlighted positive responses, such as the assigned tasks are related to their programs. They gained new knowledge, learned new IT tools, improved collaboration and communication skills, and developed study habits. Furthermore, they feel safer in their home, have no hassle going to work, save money on travel and boarding costs, and discover new companies offering online internships.

The findings provide an insight into the challenges and favorable impact students encountered during their work-from-home internship. Even amid a pandemic, the institution and organization can collaborate to deliver the learning objectives required for students' career advancement.

Presenter

Reina T. Payongayong

THE INFLUENCE OF NEOCLASSICISM ON HO CHI MINH ARCHITECTURE IN THE TWENTIETH-FIRST CENTURY

Abstract

The influence of Neoclassicism in Vietnam in general and Ho Chi Minh, in particular, is attributed to the influence of local culture and perception. This trend creates buildings that diverge from the standards of Neoclassical architecture in both positive and negative senses. This paper aims to demonstrate the influence of Neoclassicism in Ho Chi Minh Architecture, its progress in the modern era, and its potential adoption in Ho Chi Minh City through the evaluations of specific city construction projects in the twentieth-first century.

Keywords

Neoclassicism; Neoclassical architecture; influence, classical style; Ho Chi Minh City; Colonial style; French style.

Presenter

On Ngoc Yen Nhi

Consumer Behavior Analysis in Electric Vehicle Adoption in Indonesia Presenter Fajar Nurrohman Haryadi

Abstract

PLN's electricity reserves during the Covid-19 pandemic have increased to above 40% with the new generator (CNN Indonesia, 2021). Meanwhile, electricity sales growth decreased by -8.72% y.o.y (PLN, 2021). So, there needs to be a massive increase in electricity sales. Among them is to increase the use of Electric Vehicles (EV) so that there is an indirect effect on increasing electricity consumption.Thus, in this study, consumer behavior in the adaptation of electric vehicle technology in Indonesia will be studied, especially what factors determine a person's purchase of electric motorcycles and electric cars. This study uses descriptive and quantitative methods. The analytical technique used in the quantitative process in this research is logistic analysis. From the OLS regression results for electric motor users, it can be seen that the control coefficient (0.244), cognitive (0.312), and value (0.423), have a significant correlation to purchasing intention. While for electric car users, it can be seen that the avgresiko coefficient has a significant correlation to purchasing intention, which is 0.026.

Presenter

Fajar Nurrohman Haryadi

The Influence of Scope in Affecting the Successful of an IT Project: a Systematic Literature Review

Abstract

Payroll processing is an important process in an organization; it involves several tasks to ensure correct and timely payments of the workforces' services, and to shield organization's reputation through effective recordkeeping compliance with the government authorities employment legislations. Despite its important function within the organization method, studies on payroll process is sort of restricted, as compared to other transaction processing systems like sales and purchase. This analysis study aims to provide insights into the characteristics of the problem associated with payroll system by using a bibliometric analysis.

Presenter

Bryant Alim Amrullah

Adaptive System Framework for Preemptive Road Damage Awareness Against Climate Change in Albay

Abstract

Climate change is an act of a significant change in weather behavior that happens in everyday perspective. In the Bicol region, Albay is one of the most common provinces which is greatly affected by climate change in which heavy rains, drought, volcanic and hurricane is an occurring event each year. This province's common problem due to climate changes is the issues on road damages. Road Damage is one of the major problems in which the assessment of the road status needs to be updated to the drivers for safe traveling road experience. The research aims to create a framework design that integrates adaptive systems to Road Damage Awareness. Using the system methodologies for creating architectural frameworks for information systems, the research used interactive architecture and model-view-control design pattern to design the framework with the integration of adaptive systems. The development of the framework allows the identification of the needed processes of the existing information data to be targeted for the integration of the adaptive systems concept. The framework consists of the improved concept that changes depending on current climate changes that can affect the services of Road Damage Awareness. The design integrated with adaptive systems from the concept can reorganize and change tactics on changes to adapt to the current situation on climate change. This concept consists of the integration of Google Mapping API and weather information services that would base the current changes. The designed framework system represents that adaptive system concepts can be implemented to road damage assessment.

Presenter

Vince Angelo Naz

Prediction of Service Life Based on Relationship between PSI and IRI for Flexible Pavement

Abstract

Uncertainty about the remaining service life of the pavement often occurs in developing countries even though the pavement structure is designed with the planned age, which damages the network and structure, and function of the road. Uncertainty in the volume and growth of traffic that exceeds the plan and limited funds have a powerful influence on the condition of this road. This study aimed to determine the condition of the road surface and the function of road services, then predict the pavement's service life and obtain the relationship between the Present Serviceability Index value and the International Roughness Index on the flexible pavement. Secondary data collection such as IRI and traffic volume are used for modeling and analyzing road service functions. The prediction analysis of the remaining life of the roadshow is that the design life will end in year eight and experience a decrease in age for two years from the planned period of 10 years. The relationship between PSI and IRI plans has an R2 value of 0.98, while for actual conditions, it has an R2 value of 0.97

Presenter

Muhammad Isradi

Agile Global Software Development Challenges and Mapping Solutions: A Systematic Literature Review

Abstract

According to the Project Management Institute, project management in the view of Agile approach is extensively employed. This method has a substantial impact on project success and business growth. Another approach that piqued the interest of the software development team was the Global Software Development Framework (GSD). However, implementing Agile in GSD is difficult. As a result, a systematic literature review (SLR) is performed to uncover the challenges encountered in the execution of Agile projects in Global Software Development. The knowledge categories of the Project Management Body of Knowledge (PMBOK) were used to categorize the difficulties. As a result of SLR extraction, 23 papers out of 400 were identified. The PMBOK knowledge areas were used to categorize the problems from related studies. The PMBOK Guide was used to map the challenges to solutions. This research presents a list of Agile challenges as well as their solutions. Among challenges found which broken down to communication, resource, integration, stakeholder, and scope management, the most common problem identified in most research is communication management. This challenge encompasses issues such as coordination, communication, and collaboration, as well as a lack of knowledge sharing. Project resource management, project integration management, project scope management, and project stakeholder management are among the other challenges. This paper offers academics a new perspective on Agile issues in GSD and their corresponding solutions from the project management standpoint which attributed the solution to communication, resource, integration, stakeholder, and scope management knowledge areas. For practitioners, the findings present potential lessons learned and ideas for coping with the challenges.

Presenter

Muhammad Zukhruf Firdaus Hanindra

Stakeholder Satisfaction in Long Segment Maintenance Contract: Application to a Hills Road Network

Abstract

Hills road network has an essential role in maintaining the flow of transportation and logistics in mountainous areas. Implementing the Long Segment Maintenance Contract (LSMC) is one step in producing better road services and performance. The success rate of PMS implementation can be seen from the road performance and the level of satisfaction of stakeholders consisting of owners, implementers, supervision consultants, and users. This research was conducted to determine stakeholders' level of interest and satisfaction in the implementation of LSMC in the mountain road network. The methods used are Importance Performance Analysis and Customer Satisfaction Index. As a case study, the hills road network in Cirebon-Kuningan-Ciamis, West Java, Indonesia, was chosen along 103.08 km. Questionnaires were distributed to all stakeholders in the implementation of LSCM in these sections. Data analysis was carried out on questionnaires obtained from the owner as many as three respondents, contractors four respondents, supervised seven respondents, and road users as many as 100 respondents. The results showed that, in general, the level of stakeholder importance was relatively high, with an average of 4.22, an average performance level of 3.70, and a CSI value of 86.9.% or very satisfactory. In comparison, road users' on-road performance is relatively high, with an average of 4.44 with, an average level of performance of 4.41, and a CSI value of 86.83%, or very satisfactory. Furthermore, the importance of road users' on-road response time is relatively high, with an average of 4.42, an average performance level of 4.41, and a CSI value of 86.09%, or very satisfactory. Attributes that greatly influence the opinion of road users and stakeholders on LSCM in the Hill Road Network are related to the control of runoff water and routine road maintenance

Presenter

Andri Irfan Rifai

IMPACT OF A NEW TOLL ROAD TO EXISTING HIGHWAY PAVEMENT SERVICE LIFE (PANTURA HIGHWAY CASE STUDY)

Abstract

Pantura national highway or Route 1 in Indonesia is one of important route which drive the most economic movement in Indonesia. For years this route suffering over dimension and overloading phenomenon causing serious early failure to it’s pavement. Republic Indonesia government recently built the Trans Java Toll Road connecting Java island with a toll road from west to east, the initial route is Cipali (Cikampek to Palimanan) Toll Road Section as long 116 km which officially opened at 13th of June 2015. One of Cipali Toll Road Section aims is to move the most traffic from Pantura highway to Cipali Toll Road to reduce the Pantura highway burden. This research aimed to find out impact of the Trans Java Toll especially Cipali Section to Pantura National Highway Pavement Service Life. The Liddle’s formula used with k–factor = 1 for single axles, 0.086 and 0.031 for tandem and tridem axles to get the CESA between before the toll existence and after the toll existence. The findings are that Trans Java toll road reduce Pantura national road (route 1) traffic as much 180.818 PCU, and the Trans Java toll presence road help Pantura national road (route 1) back to it’s designed CESA

Presenter

Reni Karno Kinasih

INVESTIGATION OF THE POTENTIAL CASH WAQF FOR FUNDING PUBLIC INFRASTRUCTURE THROUGH PUBLIC- PRIVATE PARTNERSHIP

Abstract

The need of using green financing for PPP funding is an interesting topic among stakeholders in Indonesia. Cash waqf as part of Islamic finance has the potential for sourcing PPP funding, as Indonesia's potential cash waqf is estimated to reach IDR 180 Trillion/year. Grand climate finance and blended finance are a participant in nature, so the government-public can participate with cash waqf sources and enter into commercial sectors. The purpose of the study is to investigate how actually cash waqf has been implemented in public infrastructure. A semi-structured interview was conducted. NVivo is used and has helped with qualitative data storage, coding, and modeling. Then the interviews were categorized into 7 nodes and 38 child nodes. The result of the study reveals cash waqf implemented in some public infrastructures through blended finance scheme and some barriers to be the most critical issues for successfully cash waqf for infrastructure public funding.

Presenter

YUNITA DIAN SUWANDARI

Resistivity and conductivity analysis of Coated metallic catalytic converter with wavelenght shape of monolith

Abstract

Removal of pollutants in the exhaust system was an interesting field and it was inspired by the invention of modern Catalytic Converter (CATCO). The problem is low emission conversion from CO, NOx and HC to H2O, CO2 and NO2 due to low CATCO material conductivity. Therefore, the objective of this research is to investigate the conductivity and resistivity of FeCrAl material for CATCO that coated by combined technique of electroplating and ultrasonic methods. Nickel (Ni) plate as anode and FeCrAl as cathode. The distance between anode and cathode was adjusted at 25 mm. Ultrasonic was carried out using frequency of 35kHz. Ultrasonic and electroplating were conducted for several variation times of 15, 30, 45, 60 and 75 minutes. Drying process was performed after electroplating process at temperature of 600C for 12 hours. The conductivity and resistivity analysis will be conducted using 4 point probe machine. Resistivity and conductivity analysis show that the smallest resistivity and highest conductivity has been observed at UB+EL 30 minute for 2.67E+03 ohm-cm and 3.75E-04 S/cm, respectively. UB samples has lower resistivity and higher conductivity than EL, and UBdEL samples. It may caused by surface roughness of the FrCrAl material that embedded during the coating process.

Presenter

Hadi Pranoto

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