Article Per Year (5 Year)
p-Index From 2021 - 2026
3.389
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL INTEGRASI Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Elektronika dan Telekomunikasi Journal of Information Technology and Computer Engineering IJISTECH (International Journal Of Information System & Technology) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JISA (Jurnal Informatika dan Sains) Jurnal Bumigora Information Technology (BITe) Jurnal Sistem Informasi dan Sains Teknologi Jurnal Teknik Informatika (JUTIF) IJISTECH Jurnal Pendidikan dan Teknologi Indonesia Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Ketut Bayu Yogha Bintoro
Department Of Informatics, Universitas Trilogi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 35 Documents
Search

 1   2   3   4 
Modification of Ant Colony Optimization Algorithm to Solve the Traveling Salesman Problem Anindya, Alda Larasati; Bintoro, Ketut Bayu Yogha; Permana, Silvester Dian Handy
JISA(Jurnal Informatika dan Sains) Vol 3, No 2 (2020): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v3i2.704

Abstract

Traveling salesman problem (TSP) is an optimization problem in determining the optimal route of a number of nodes that will only be passed once with the initial node as the final destination. One method for solving TSP is the Ant Colony Optimization (ACO) Algorithm. ACO is inspired by ant behaviour in searching for food, where ants produce pheromones to find food sources and make a route from the colony to food that will be followed by other ants. However ACO has not been considered as the optimal method for resolving TSP. This is because ACO has several shortcomings in the computational process. Comparisons between pheromones are not yet clear, and slow computing time causes the results of ACO to be not optimal. To correct these deficiencies, modifications will be made to the ACO. Modifications are made by changing some values in the ACO, such as adjusting the number of ants by the node automatically, changing the value in the pheromone renewal, and adding value to the construction of the solution. The outcome of this research is the modification of ACO did not provide shorter computing time with a more accurate final value, thus did not provide an optimal solution. The test results in this study found that the average computation time for the last iteration of each test was 0.54 second, and for the 10 iteration computation time obtained an average of 5.54 second for four tests. The amount of memory used in four tests in this study was 440.11 mb for 10 iterations.
The Implementation of VANET Routing Protocol for Vehicular Communication Using NS3 and SUMO Sukarman, Iswar; Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 8, No 1 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i1.2186

Abstract

Vehicular Ad-hoc Networks (VANETs) are dynamic wireless systems enabling vehicles to exchange data such as speed, location, and direction. A core component in VANETs is the routing protocol, with Ad-hoc On-Demand Distance Vector (AODV) being widely used. However, AODV struggles in highly dynamic environments, leading to reduced performance in throughput and end-to-end delay. This study proposes an improved AODV protocol using the Learning Automata approach (LA-AODV), which enhances relay node selection for better routing efficiency. The performance of LA-AODV is evaluated against standard AODV using NS-3 and SUMO simulations, focusing on key Quality of Service (QoS) metrics: throughput, packet delivery ratio, packet loss, and end-to-end delay. Simulation results show that LA-AODV significantly increases throughput (up to 90.84 Kbps) and reduces end-to-end delay by 20–35%, while lowering communication complexity (15–25% fewer Flow IDs). However, LA-AODV suffers from higher packet loss (up to 62%) and lower delivery ratios (37–92%) compared to AODV. This performance trade-off highlights LA-AODV's improved data efficiency at the cost of reliability. To mitigate delivery issues, solutions such as buffer tuning, adaptive queuing, or hybrid protocols are suggested. Future research should address these challenges and examine LA-AODV's scalability in larger VANET deployments.
Overview of Vehicle-to-Everything Communication: Technological Advancements, Applications, and Future Prospects in Intelligent Transportation Systems Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 8, No 1 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i1.2187

Abstract

 Vehicle-to-Everything (V2X) communication is a cornerstone technology in modern Intelligent Transportation Systems (ITS), enabling real-time data exchange between vehicles, infrastructure, pedestrians, and networks. V2X enhances road safety, traffic management, and driving experience, contributing to the global vision of connected and autonomous transportation. This paper presents a comprehensive overview of V2X communication, detailing its key components, types, and technological standards, including Dedicated Short-Range Communication (DSRC), LTE-V2X, and 5G. We explore current applications of V2X, such as safety enhancements, traffic optimization, infotainment, and environmental sustainability, and discuss significant challenges in deployment, including technical limitations, security and privacy concerns, and infrastructure requirements. Furthermore, this study examines future directions in V2X, emphasizing the role of 5G, edge computing, AI integration, and the implications for electric and autonomous vehicles. Realizing V2X's full potential requires robust policy support, international standardization, and infrastructure investments, particularly in countries with varying levels of technological maturity. This paper provides insights into the evolution of V2X and outlines critical considerations for advancing toward a safer, more efficient, and sustainable global transportation ecosystem
Anti-Lock Breaking System Pada Krl Commuter Line Jabodetabek Sebagai Penunjang Keselamatan Mengunakan Fuzzy Inference System Nurdin, Sam Ali; Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 1, No 2 (2018): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v1i2.310

Abstract

The public transportation model which is currently widely used by people who live in Jakarta, Bogor, Depok, Tangerang and Bekasi (JABODETABEK) is the Commuter-Line Electric Train (KRL). According to online media sources(http://Kompas.com 2 December 2015), currently, the JABODETABEK Commuter-Line KRL can carry 900,000 passengers every day. Anti Lock Braking System (ABS) is a braking system that maintains the position of the wheels and the road to prevent tire/wheel slip. Anti Lock Braking System was first used or applied to aircraft. Vehicles that are not equipped with the Anti-lock Braking System must be updated. The driver makes optimal braking to prevent slip between the wheels and the road or rail so that the vehicle stops perfectly. In this paper, we will use fuzzy inference logic to support an Anti-lock Braking System (ABS). Fuzzy inference is a logical method because when determining variables in the fuzzy method, the variable must have an International Standard (SI). 
A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 4, No 1 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i1.895

Abstract

Vehicle to Vehicle (V2V) communication is a specific type of communication on Vehicular Ad Hoc Network (VANET)  that attracts the great interest of researchers, industries, and government attention in due to its essential application to improve safety driving purposes for the next generation of vehicles. Our paper is a systematic study of V2V communication in VANET that cover the particular research issue, and trends from the recent works of literature. We begin the article with a brief V2V communication concept and the V2V application to safety purposes and non-safety purposes; then, we analyze several problems of V2V communication for VANET related to safety issues and non-safety issues. Next, we provide the trends of the V2V communication application for VANET. Finally, provide SWOT analysis as a discussion to identify opportunities and challenges of V2V communication for VANET in the future. The paper does not include a technical explanation. Still, the article describes the general perspective of VANET to the reader, especially for the beginner reader, who intends to learn about the topic.
Co-Authors Ade Syahputra Aldo Adrian Anindya, Alda Larasati Anugrah, Rio Arifitama, Budi Bintoro, Ketut Bayu Bonari, Anggiet Harjo Baskoro Bryan Jonathan Hutapea Dewi Lestari Erssa Istary Yusuf Fadillah, Ahmad Syawal Fariz Allawi Ghozali Geraldo, David Helna Wardhana Ikhwan , Muhammad Khoirul Letsoin, Fita Sari Loka, Gede Andika Marchenko, Michael Michael Marchenko Mukholladun, Muhammad Wildan Nurdin, Sam Ali Pambudi, Arif Setyo Rio Anugrah Rismanto, Akmal Hadi Sadiah, Hanna Halimatu Sania Smith Saputra, Rofi Chandra Sardjono, Yadie Prasetyo SDH Permana Silvester Dian Handy Permana, Silvester Dian Handy Sugianto, Rulliansyah Sukarman, Iswar Tri Kuntoro Priyambodo Widodo Prijodiprodjo Yaddarabullah Zaenudin, Muhamad Ridwan