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A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends Ketut Bayu Yogha Bintoro
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.
Anti-Lock Breaking System Pada Krl Commuter Line Jabodetabek Sebagai Penunjang Keselamatan Mengunakan Fuzzy Inference System Sam Ali Nurdin; Ketut Bayu Yogha Bintoro
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). 
Modification of Ant Colony Optimization Algorithm to Solve the Traveling Salesman Problem Alda Larasati Anindya; Ketut Bayu Yogha Bintoro; Silvester Dian Handy Permana
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.
Comparative Analysis of Pathfinding Algorithms A *, Dijkstra, and BFS on Maze Runner Game Silvester Dian Handy Permana; Ketut Bayu Yogha Bintoro; Budi Arifitama; Ade Syahputra
IJISTECH (International Journal of Information System and Technology) Vol 1, No 2 (2018): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.803 KB) | DOI: 10.30645/ijistech.v1i2.7

Abstract

Maze Runner game is a game that requires pathfinding algorithm to get to the destination with the shortest path. This algorithm is used in an NPC that will move from start node to destination node. However, the use of incorrect algorithms can affect the length of the computing process to find the shortest path. The longer the computing process, the longer the players have to wait. This study compared pathfinding algorithms A *, Dijkstra, and Breadth First Search (BFS) in the Maze Runner game. Comparison process of these algorithms was conducted by replacing the algorithm in the game by measuring the process time, the length of the path, and the numbers of block played in the existing computing process. The results of this study recommend which algorithm is suitable to be applied in Maze Runner Game.
PENGARUH MEDIA SOSIAL SEBAGAI REFERENSI INVESTASI DIGITAL GENERASI MUDA DENGAN REGRESI LINEAR BERGANDA Silvester Dian Handy Permana; Ade Syahputra; Ketut Bayu Yogha Bintoro; Fariz Allawi Ghozali
Jurnal Sistem Informasi dan Sains Teknologi Vol 4, No 1 (2022): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v4i1.1448

Abstract

Iklim investasi di Indonesia jika dibandingkan dengan negara maju lainnya masih sangat rendah. Pada masa pandemi ini, banyak dari masyarakat Indonesia memulai untuk berinvestasi melalui platform digital. Mereka mendapatkan banyak informasi mengenai investasi dari beberapa media digital yang sekarang dapat diakses kapan saja dan dimana saja. Namun, investasi juga mempunyai resiko yang besar jika tidak disertai oleh analisis yang tepat. Masyarakat juga bisa terpengaruh pada investasi bodong yang ditawarkan dalam media digital dimana mereka dijanjikan untuk mendapatkan return yang besar dalam jangka waktu yang sangat singkat. Instrumen investasi yang ditawarkan kepada masyarakat sangatlah banyak mulai dari Saham, Reksadana, Emas, Obligasi, hingga Aset Kripto. Oleh maka itu, penelitian ini akan mengukur seberapa besar pengaruh dari media sosial dalam referensi atau menjadi acuan dalam investasi yang dilakukan oleh generasi muda. Penelitian ini akan mengambil responden generasi muda yang berusia 17 hingga 35 tahun dan sudah memulai investasi dalam bentuk apapun. Penelitian ini akan menghasilkan model penerapan media sosial dalam pengaruh investasi yang dilakukan oleh generasi muda. Hasil penelitian ini diharapkan dapat bermanfaat untuk menjadi referensi para generasi muda agar mendapatkan konten dalam media sosial yang komprehensif untuk menjadi referensi investasi yang tepat.
SISTEM INFORMASI EDUKASI INVESTASI UNTUK GENERASI MUDA BERBASIS WEBSITE Silvester Dian Handy Permana; Ade Syahputra; Ketut Bayu Yogha Bintoro; Fariz Allawi Ghozali
Jurnal Sistem Informasi dan Sains Teknologi Vol 4, No 1 (2022): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v4i1.1449

Abstract

Pada masa pandemi Covid-19 ini banyak aplikasi mengenai investasi yang mulai bermunculan. Mereka menawarkan jasa untuk membeli instrumen investasi dalam aplikasi mereka. Namun, belum banyak konten edukasi yang terintegrasi mengenai keuangan dan belajar investasi. Hal ini dikarenakan banyak orang yang mulai berinvestasi. Baru sekitar kurang dari 2% dari masyarakat Indonesia yang sudah memulai investasi. Padahal, kebutuhan investasi di suatu negara harus lebih dari 30% agar memajukan perekonomian dari negara tersebut oleh maka itu penelitian ini ini akan membuat suatu media edukasi mengenai investasi yang dapat sad dilakukan oleh para generasi muda. Para generasi muda tentunya belum begitu banyak uangnya, namun kita bisa tahu bahwa generasi muda di Indonesia lah yang sekarang ini akan berkembang dan akan memimpin indonesia di masa yang akan datang.  Media edukasi mengenai investasi ini berwujud suatu website yang akan dirancang dengan metode waterfall dimana nantinya para masyarakat dapat menikmati konten edukasi mengenai investasi dan literasi keuangan di dalamnya. Hasil dari penelitian ini diharapkan dapat membantu para generasi muda dalam memahami literasi keuangan.
PERANCANGAN APLIKASI DROPSHIP BAGI PELAKU USAHA UMKM MENGGUNAKAN METODE WATERFALL Silvester Dian Handy Permana; Ade Syahputra; Ketut Bayu Yogha Bintoro; Sania Smith
Jurnal Sistem Informasi dan Sains Teknologi Vol 4, No 1 (2022): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v4i1.1450

Abstract

Persaingan usaha pada zaman ini semakin ketat dengan bertambah banyaknya pengusaha baru selama pandemi covid-19 ini. Para pengusaha berjuang sangat keras untuk mendapatkan pelanggan dalam jual beli barang dagangannya. Namun, tidak semua pedagang mempunyai strategi atau cara dalam menjual barang dagangannya. Mereka hanya mengandalkan media sosial untuk mempromosikan barang dagangannya. Hal ini tidak cukup efektif karena hanya terfokus dalam penjualan dan belum melakukan ekspansi dalam bisnisnya. Mereka membutuhkan sistem aplikasi dropship dimana sistem tersebut dapat memudahkan para pelanggan atau orang lain dalam memasarkan produknya sehingga produknya dapat terjual lebih banyak. Penelitian ini akan membuat suatu aplikasi yang dapat digunakan untuk dropship sehingga para pelaku usaha dapat melakukan ekspansi usaha dengan sistem dropship. Aplikasi ini dibangun secara mobile dan dapat beroperasi dalam smartphone yang berbasis android. Aplikasi ini dibangun menggunakan metode Waterfall sehingga jadi suatu aplikasi yang tepat guna. Aplikasi ini diharapkan dapat membantu para pengusaha UMKM dalam membuat sistem dropship bagi ekspansi bisnisnya.
LEARNING AUTOMATA-BASED AODV ROUTING PROTOCOL TO IMPROVE V2V COMMUNICATION IN URBAN TRAFFIC SIMULATION Ade Syahputra; Ketut Bayu Yogha Bintoro; Erssa Istary Yusuf; Michael Marchenko
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.5551

Abstract

Network congestion, packet loss, and high latency in the AODV routing protocol are significant obstacles to achieving reliable vehicle-to-vehicle (V2V) communication. Consequently, an update to the AODV protocol is necessary. This research proposes the Learning Automata-based AODV (LA-AODV) routing protocol to address these issues. The LA-AODV protocol incorporates learning automata into the routing protocol by considering speed, acceleration, and x and y coordinates. The communication quality index with the nearest vehicles is measured before selecting a set of relay nodes until the maximum estimated time is reached. The primary objective of this study is to enhance the performance of V2V communications by reducing network congestion, packet loss, and latency. The results demonstrate that LA-AODV achieves a maximum packet delivery ratio (PDR) improvement of 4.0% and a throughput of up to 56.50 kbps, surpassing the performance of both AODV and DSDV protocols. These findings indicate the potential of LA-AODV to optimize V2V communications, thereby significantly improving transportation safety and efficiency. The research contributes to the field by providing a novel solution to enhance V2V communication quality in urban traffic scenarios, offering significant benefits in reduced latency, increased reliability, and overall better network performance.
Evaluating the Performance of ETSI-ITS Multi-Stack Protocols for V2V Communication in VANETs: A Simulation Study Bintoro, Ketut Bayu Yogha; Geraldo, David
JISA(Jurnal Informatika dan Sains) Vol 7, No 1 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i1.2010

Abstract

The research evaluates various multi-stack protocols for Vehicular Ad-hoc Networks (VANETs), focusing on Vehicle-to-Vehicle (V2V) communication scenarios with Emergency Vehicle (EV) simulations. The study uses the ns-3 network and SUMO (Simulation of Urban MObility) traffic simulators to test these protocols in diverse scenarios, including fluctuating data rates and dense network conditions. By implementing the IEEE 802.11p protocol alongside vehicular message dissemination stacks compliant with ETSI (European Telecommunications Standards Institute) ITS (Intelligent Transport Systems) standards, the study performs simulation experiments with varying vehicle counts, ranging from 20 to 35. It employs two distinct data rate configurations while maintaining a constant transmission power of 23 dBm. The results indicate a decline in the average Packet Reception Ratio (PRR) as vehicle density increases, indicating heightened contention and interference. At the same time, there is an observed increase in average latency, contributing to increased message transmission and reception delays. The quantitative analysis demonstrates an inverse relationship between the average PRR and the total vehicle count when the SEND_CAM message is enabled. On the other hand, disabling SEND_CAM maintains a relatively consistent average PRR across scenarios. Additionally, a positive correlation between vehicle count and average latency underlines the impact of network congestion and interference on communication efficacy within VANETs. Despite suboptimal PRR values falling between 41% and 47%, latency performance remains satisfactory, with average latency durations ranging from 0.154 s to 0.187 s. Notably, the SEND_CAM parameter status shows negligible impact on protocol performance, suggesting that network density plays a more pivotal role. Finally, this study offers valuable insights into the trade-offs and challenges of multi-stack protocols in V2V communication within VANETs. Further optimization efforts are recommended to improve packet reception ratios, especially in high-vehicle-density environments, while maintaining acceptable latency levels. These findings contribute to the ongoing efforts to enhance the reliability and efficiency of communication protocols in VANETs, thus advancing the development of intelligent transportation systems. The study's quantitative protocol performance analysis under varying network conditions provides valuable guidance for optimizing V2V communication deployments in VANETs.
Performance Analysis of AODV and DSDV Routing Protocols for UDP Communication in VANET Bintoro, ketut Bayu Yogha; Marchenko, Michael; Saputra, Rofi Chandra; Syahputra, Ade
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13938

Abstract

In high-mobility Vehicular Ad hoc Networks (VANETs), maintaining a low Packet Loss Ratio and a high Packet Delivery Ratio (PDR) under UDP communication is crucial. This study compares the performance of Ad hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance-Vector (DSDV) routing protocols in vehicular communications and networking using Network Simulator 3 (NS3) simulations. The research employs a simulation-based approach, leveraging NS3 and SUMO to analyze these protocols across different VANET scenarios, including free flow, steady flow, and traffic jams over varying time intervals (300 to 700 seconds). Our findings demonstrate that AODV outperforms DSDV. AODV maintained an average Packet Loss Ratio of 98% and achieved higher throughput, while DSDV experienced higher packet loss and lower throughput. Additionally, AODV exhibited lower end-to-end delay and a higher Packet Delivery Ratio compared to DSDV. These results indicate that AODV is better suited for UDP communication in VANETs, offering lower packet loss, higher throughput, and reduced delays. The study further emphasizes that AODV is preferable for UDP communication in VANETs due to its superior performance metrics. There is potential for further research in vehicular communications, such as integrating advanced hybrid routing protocols and exploring the effects of different traffic densities, vehicle types, and real-world environmental conditions. By investigating these factors, future studies can enhance the reliability and efficiency of VANET communications, contributing to the advancement of intelligent transportation systems.