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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.