Article Per Year (5 Year)
p-Index From 2021 - 2026
3.555
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 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) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Elektronika dan Telekomunikasi
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 
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.
Analisis Trade-Off Efisiensi dan Stabilitas pada Kontrol Prediktif Mikroklimat Pratama, Gerrio Irfan; Lestari, Dewi; Bintoro, Ketut Bayu Yogha
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.12210

Abstract

Precise microclimate control is a crucial aspect in various IoT applications, yet commonly used reactive, threshold-based control strategies often prove to be inefficient. This study presents a simulation-based comparative analysis to quantitatively evaluate the performance between a reactive control strategy and a more intelligent predictive one. Using time-series humidity data from a Tropidolaemus sp. terrarium, a SARIMA forecasting model was developed and validated to drive the predictive controller. The performance of both strategies was then benchmarked in a simulation environment based on two key metrics: actuation efficiency and environmental stability. The results demonstrate that the predictive controller is significantly more efficient, reducing actuator activations by up to 47% compared to the reactive controller. However, this study reveals a fundamental trade-off: this efficiency is accompanied by a decrease in stability due to an overshoot phenomenon caused by a rigid control action mechanism. This study concludes that the superiority of proactive prediction must be synergized with adaptive action mechanisms to achieve holistic system optimality, while also presenting a simulation methodology as an efficient framework for evaluating intelligent control systems.
Latin Letters Recognition Using Optical Character Recognition to Convert Printed Media Into Digital Format Rio Anugrah; Ketut Bayu Yogha Bintoro
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 2 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.56-62

Abstract

Printed media is still popular now days society. Unfortunately, such media encountered several drawbacks. For example, this type of media consumes large storage that impact in high maintenance cost. To keep printed information more efficient and long-lasting, people usually convert it into digital format. In this paper, we built Optical Character Recognition (OCR) system to enable automatic conversion the image containing the sentence in Latin characters into digital text-shaped information. This system consists of several interrelated stages including preprocessing, segmentation, feature extraction, classifier, model and recognition. In preprocessing, the median filter is used to clarify the image from noise and the Otsu’s function is used to binarize the image. It followed by character segmentation using connected component labeling. Artificial neural network (ANN) is used for feature extraction to recognize the character. The result shows that this system enable to recognize the characters in the image whose success rate is influenced by the training of the system.
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 Pratama, Gerrio Irfan 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