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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

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Quality of Service Comparison of DSDV and DSR Routing Protocols for V2V Communication in VANET bintoro, ketut bayu yogha; Mukholladun, Muhammad Wildan
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.73-82.2024

Abstract

The study evaluates the Quality of Service (QoS) performance of the Destination-Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols in vehicle-to-vehicle (V2V) communication within a Vehicular Ad-Hoc Network (VANET) environment. Simulations were conducted to analyze key QoS metrics, including throughput, delay, and routing overhead, under various traffic densities and network dynamics. The results reveal that DSR excels in scenarios with rapid topology changes due to its lower routing overhead. At the same time, DSDV provides better route stability in less dynamic conditions, ensuring consistent performance. These findings underscore the importance of matching routing protocols to the specific requirements of V2V applications, such as real-time data exchange or traffic safety, to ensure informed decision-making. The study also highlights the potential for a hybrid protocol that integrates the stability of DSDV with the efficiency of DSR to address diverse VANET challenges and enhance overall QoS performance
Revolusi Sistem Transportasi Cerdas: AODV Berbasis Learning Automata untuk Peningkatan Komunikasi V2V di Jalan Bebas Hambatan Bryan Jonathan Hutapea; Ketut Bayu Yogha Bintoro; Helna Wardhana
Jurnal Bumigora Information Technology (BITe) Vol. 7 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v7i1.5131

Abstract

Backgroud: Vehicle-to-vehicle communication has become a crucial element in the development of intelligent transportation systems. However, conventional routing protocols face limitations in coping with dense and dynamic traffic conditions. Objective: The objective of this study is to improve communication efficiency between vehicles by modifying an on-demand routing protocol using a learning automata approach. Method: This study employed a simulation method with traffic modeling using traffic modeling software and network simulation tools, based on data from highways in the Soekarno-Hatta International Airport area. Result: The results of this study show that the developed protocol increases the packet delivery ratio to 87.7% and reduces latency by 6.5%. Conclusion: The conclusion of this study is that the application of learning automata in vehicle routing enhances communication reliability and supports the implementation of a more adaptive and efficient transportation system.  
Learning Automata Based-AODV Routing Protocol for Inter-vehicle Communication: A Simulation Approach Ikhwan , Muhammad Khoirul; Yogha Bintoro, Ketut Bayu
Jurnal PROCESSOR Vol 20 No 1 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.1.2209

Abstract

The Ad-hoc On-Demand Distance Vector (AODV) routing protocol is a Mobile Ad-hoc Network (MANET) routing protocol that is experimentally used in Vehicular Ad-hoc Networks (VANETs) to support Vehicle-to-Vehicle (V2V) communication. Unfortunately, the standard AODV can lead to degraded responsiveness due to excessive information flow in the VANET environment. The research proposed a Learning Automata-based AODV (LA-AODV) that integrates reinforcement learning for enhanced relay node selection and communication responsiveness in VANET. By considering real-time vehicle parameters during relay node selection, LA-AODV optimizes Quality of Service (QoS) and indirectly reduces road incidents. Simulation results using Network Simulator 3 (NS-3) in a grid traffic scenario demonstrate and validate that LA-AODV outperforms AODV regarding Packet Delivery Ratio (PDR), average end-to-end delay, throughput, and communication overhead. Using Learning Automata for relay node selection in LA-AODV improves the QoS of V2V communication, making it suitable for applications in smart transportation and intelligent vehicle networks supported with V2V communication in each vehicle. This research contributes to the field by improving the AODV protocol for V2V communication, especially in VANET research
Optimasi Protokol Komunikasi V2V untuk Lalu Lintas Perkotaan dan Jalan Raya dengan AODV Berbasis Learning Automata Sadiah, Hanna Halimatu; Bintoro, Ketut Bayu Yogha; Letsoin, Fita Sari; Bintoro, Ketut Bayu
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 14 No 1 (2025): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v14i1.15837

Abstract

This research addresses optimizing communication efficiency in Vehicle-to-Vehicle (V2V) networks in urban and highway environments, focusing on the limitations of traditional routing protocols under varying traffic conditions. The study introduces an improved version of the AODV protocol, termed Learning Automata-based AODV (LA-AODV), designed to enhance data transmission reliability and reduce latency. In this approach, LA-AODV utilizes location and movement information to optimize communication paths, adaptively selecting the most reliable routes based on real-time traffic dynamics. The objective is to evaluate LA-AODV’s performance against AODV based on metrics such as packet delivery, jitter, and end-to-end delay. The study assesses protocols in dynamic urban and highway traffic settings through quantitative simulations. Results indicate that LA-AODV consistently outperforms AODV, reducing jitter by 15% and increasing packet delivery by 12% in urban scenarios while decreasing end-to-end delay by 10% on highways. These gains are achieved by LA-AODV’s enhanced route selection, which incorporates location-based decisions for optimal communication paths. The study’s findings substantiate the reliability of LA-AODV, which is a significant step forward in the field of V2V communication. This research provides a foundation for advancing next-generation V2V communication systems in urban and highway contexts, instilling confidence in the potential of LA-AODV to improve V2V communication efficiency.
Analisis User Experience Website Sibela Proses Stock Opname di PT Bank Mandiri dengan Metode User Experience Questionnaire Cabang Plaza Mandiri dan Sudirman Jakarta Zaenudin, Muhamad Ridwan; Syahputra, Ade; Bintoro, Ketut Bayu Yogha
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7263

Abstract

The problem of card discrepancies during stocktaking is complicated for companies. The use of website inventory helps minimize the difference. The stock-taking process is also important in managing card stock at PT Bank Mandiri. However, some employees are reluctant to help with card data collection during sales. Users feel burdened by additional work and complicated applications, so they need to learn first to help with inventory. Therefore, user experience is an important factor. This study analyzes how users perceive and interact with the 'Sibela' website in overcoming card discrepancies during stock-taking. Data was collected through questionnaires using the Slovin method. The conclusion of the study shows that the clarity and novelty aspects of the SIBELA website scored lower than other aspects. Users had difficulty understanding the layout, navigation or information presented and felt the design or features were less relevant. Improvements need to focus on increasing the clarity of the interface, presenting information in a more structured manner, intuitive navigation, and updating designs and features to make them more modern and in line with technological trends. This step is expected to improve the user experience, so that the SIBELA website is more effective in supporting stock-taking. 
Optimizing Connected Vehicle Routing Protocol for Smart Transportation Systems Bonari, Anggiet Harjo Baskoro; Bintoro, Ketut Bayu Yogha
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 2, May 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i2.2118

Abstract

The significant growth in integrating connected vehicles into intelligent transportation networks has underscored the importance of Vehicle-to-Vehicle (V2V) communication in optimizing route efficiency, reducing traffic congestion, and enhancing road safety. However, routing protocols such as AODV face substantial challenges in dynamic automotive environments characterized by high mobility and rapid topology changes, leading to issues like packet loss, delays, and network congestion. Reactive protocols like AODV often suffer from route discovery delays, while proactive protocols like DSDV, although reducing latency, increase bandwidth consumption, making them less effective in highly dynamic contexts. This study introduces the Learning Automata Ad Hoc On-Demand (LA-AODV) routing protocol, designed to improve relay node selection and V2V communication efficiency. The proposed method leverages real-time vehicle data to predict and select optimal relay nodes under dynamic traffic conditions, thereby enhancing packet delivery ratio, throughput, and reducing latency and routing overhead. The results demonstrate that LA-AODV significantly outperforms AODV and DSDV across various traffic scenarios, with an increase in packet delivery ratio up to 4% in high traffic conditions, throughput reaching 125 units, and a reduction in end-to-end delay within the range of 2E+10 to 6E+14. These improvements highlight LA-AODV's superior efficiency in handling packet loss and latency, making it a suitable protocol for data-intensive and safety-critical applications that demand reliable and efficient data transmission. This study contributes by developing the LA-AODV protocol, which significantly enhances V2V communication performance in dynamic traffic scenarios and provides a robust simulation model replicating real-world conditions, potentially reducing traffic accidents.
THE PERFORMANCE ANALYSIS OF REACTIVE AND PROACTIVE ROUTING PROTOCOLS FOR V2V COMMUNICATION IN DYNAMIC TRAFFIC SIMULATION Bintoro, Ketut Bayu Yogha; Syahputra, Ade; Rismanto, Akmal Hadi; Marchenko, Michael
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2237

Abstract

The research problem addressed in this study arises from the urgent need to enhance Vehicle-to-Vehicle (V2V) communication in dynamic traffic scenarios. V2V communication is a critical component of intelligent transportation systems aimed at improving traffic safety and efficiency. However, existing routing protocols exhibit varying performance under different traffic conditions, such as free flow, steady flow, and congestion. Consequently, a comprehensive comparison is necessary to evaluate the effectiveness of three routing protocols—AODV, LA-AODV, and DSDV—in dynamic V2V scenarios. This research aims to address this problem by simulating realistic traffic conditions and evaluating the Quality of Service (QoS) of each protocol using metrics such as Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), Throughput, End-to-End Delay, and Jitter. The findings indicate that LA-AODV demonstrates superior performance in terms of PDR (up to 4% at 500 seconds), PLR (reaching 95.33% at 500 seconds), and Throughput (reaching 84.81 Kbps at 800 seconds). This makes it an excellent choice for applications prioritizing reliable data transfer. Conversely, AODV exhibits the lowest latency and jitter, with latency (reaching 7.40E+10 ns) and jitter (reaching 1E+10 ns) at 300 and 400 seconds, respectively. AODV is well-suited for real-time V2V communication due to its minimal delay and jitter. DSDV, while minimizing control overhead, performs less favorably in other metrics. Consequently, AODV emerges as the preferred option for real-time V2V communication. LA-AODV excels in scenarios emphasizing data delivery and high throughput. DSDV may find relevance in security-sensitive applications where minimizing control traffic is crucial.
V2V Communication in Smart Traffic Systems: Current status, challenges and future perspectives Yogha Bintoro, Ketut Bayu; SDH Permana; Ade Syahputra; Yaddarabullah; Budi Arifitama
Jurnal PROCESSOR Vol 19 No 1 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.1.1524

Abstract

Implementing V2V communication in intelligent traffic systems has been a topic of growing interest due to its potential to improve road safety and traffic flow. However, the widespread adoption of V2V communication in intelligent traffic systems could be enhanced by various challenges, such as infrastructure cost, security, and interoperability. These challenges must be addressed to improve the potential benefits of V2V communication. The problem statement of this study is to examine the potential benefits and challenges of V2V communication in intelligent traffic systems and provide insights into the current state of the art in V2V communication research. The proposed approach is to conduct a literature review of recent research on V2V communication in intelligent traffic systems to identify the potential benefits and challenges of V2V communication and the current state of the art in V2V communication research. The study aims to contribute to the field by comprehensively understanding the implementation of V2V communication in intelligent traffic systems and informing potential future research in this area. V2V communication can improve road safety and traffic flow in intelligent traffic systems. However, more research is needed to address the challenges and develop advanced and cost-effective V2V communication systems.
Sistem Kontrol Kelembapan Otomatis Berbasis Arduino pada Terrarium Tropidolaemus sp dengan Metode Logika Fuzzy Mamdani Fadillah, Ahmad Syawal; Lestari, Dewi; Yogha Bintoro, Ketut Bayu
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 11 (2025): JPTI - November 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1129

Abstract

Tropidolaemus sp. merupakan spesies ular pohon berbisa yang membutuhkan kelembapan lingkungan yang stabil untuk menjaga kesehatan dan fungsi fisiologisnya. Pengaturan kelembapan secara manual dalam penangkaran sering kali tidak mampu menjaga kondisi ideal, sehingga diperlukan sistem otomatis yang mampu beradaptasi terhadap perubahan lingkungan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pengatur kelembapan otomatis berbasis fuzzy logic Mamdani menggunakan sensor DHT11, pompa, dan kipas sebagai aktuator. Pengujian dilakukan untuk membandingkan performa sistem dengan dan tanpa penerapan fuzzy logic. Data kelembapan dikumpulkan setiap 1, 3, dan 5 menit selama 30 menit. Penurunan error tercatat sebesar 76,8%, 66,7%, dan 64,6% secara berturut-turut dari variasi pertama hingga ketiga, menunjukkan kemampuan fuzzy logic dalam merespons perubahan lingkungan dengan lebih presisi. Nilai rata-rata error dari ketiga pengujian fuzzy logic Mamdani ini adalah 0,92%. Selain itu, akurasi sistem juga meningkat pada setiap variasi, yaitu 99,03% pada pengujian pertama, 99,14% pada pengujian kedua, dan 99,08% pada pengujian ketiga, dengan rata-rata akurasi sebesar 99,08% dengan rata-rata peningkatan sekitar 2 poin persen pada ketiga pengujian. Keunggulan ini menunjukkan bahwa logika fuzzy Mamdani mampu memberikan kontrol yang lebih presisi dan responsif terhadap kondisi lingkungan.
Analisa dan Perbandingan Kinerja Routing Protocol OSPF dan EIGRP dalam Simulasi GNS3 Loka, Gede Andika; Permana, Silvester Dian Handy; Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 1, No 1 (2018): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v1i1.300

Abstract

Router is the network equipment for route the packet from one network segment to another in a bigscale network. Router can route packet because there is a routing table in router configuration. Routing table is anaddress list of source and destination address where the packet will be routed. There are two methods of routing tableconfiguration, static routing and dynamic routing. Static routing is a routing table configuration method where all ofrouting table content is configured manually, usually for a small scale of network. Dynamic network is a routing tableconfiguration method by the router automatically, usually for a big scale of network. A dynamic routing is built fromthe routing information collected by the routing algorithm. There are two routing algorithm, link-state and distancevector algorithm. This simulation will be built in GNS3 simulation software. Goal of this research is to compare theperformance between that two algorithm from two routing protocol that using each of those two algorithm. Thecomparison will be running between OSPF routing protocol on the link state routing protocol and EIGRP on thedistance vector routing protocol side. The result of this analysis and comparison of those two routing protocol isexpected to be a reference of choosing better routing protocol in building a network
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