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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Informatika (JUTIF) KLIK: Kajian Ilmiah Informatika dan Komputer
Marchenko, Michael
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Computer Science & IT

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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.
Implementation of Aspect-Based Sentiment Analysis on the Mitra Darat App User Reviews Using Machine Learning Ishaq, Maulaya; Lestari, Dewi; Marchenko, Michael
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1889

Abstract

The Mitra Darat application is an Android-based application available on the Google Play Store, developed by the Directorate General of Land Transportation (Ministry of Transportation). User reviews on this platform enable direct communication with developers, offering valuable feedback for service enhancement and future development. For that reason, aspect-based sentiment analysis is needed to help organizations monitor product sentiment in user feedback, and understand user needs. This research aims to implement aspect-based sentiment analysis on Mitra Darat application user reviews to generate insights via a system dashboard. Comparing Naive Bayes (NB) and Support Vector Machines (SVM) for machine learning models with the addition of pre-trained Indobert as word embedding, SVM showed superior performance with an accuracy score of 94% for aspect classification and 90% for sentiment classification, compared to Naive Bayes with scores of 84% and 78% respectively. The trained Support Vector Machine model (SVM) was then utilized to analyze 967 reviews of the Mitra Darat application for 2023. The results of the analysis are presented on a dashboard page with summary information, which shows that the overall user sentiment is 52.3% positive, 10% neutral, and 37.7% negative. In terms of sentiment polarity by aspect, the system aspect is 29% positive, 8% neutral, and 63% negative, meaning that some bugs and issues have been found in the application, so it can be evaluated for future system development. The service aspect is 62% positive, 27% neutral, and 11% negative, which means that the free mudik service is quite well organized
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.
Co-Authors Ade Syahputra Dewi Lestari Ishaq, Maulaya Ketut Bayu Yogha Bintoro Rismanto, Akmal Hadi Saputra, Rofi Chandra