Article Per Year (5 Year)
p-Index From 2021 - 2026
3.389
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 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

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 35 Documents
Search

 1   2   3   4 
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.
Vehicular Ad-Hoc Networks for Intelligent Transportation System: A Brief Review of Protocols, Challenges, and Future Research Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2125

Abstract

Vehicular Ad Hoc Networks (VANET) play an essential role in the advancement of intelligent transportation systems, facilitating real-time communication between vehicles (V2V), infrastructure (V2I), and surrounding environments (V2X). This systematic review analyzes a range of VANET routing protocols, highlighting the strengths and weaknesses of topology-based, position-based, cluster-based, and hybrid methods. Additionally, this review explores core challenges in VANET, including high mobility, data security, Quality of Service (QoS) requirements, and connectivity issues in dynamic and high-density traffic environments. The paper also provides insights into simulation tools and performance metrics employed in VANET research alongside practical applications in modern transportation systems, such as autonomous driving, traffic management, and safety-related communication. Furthermore, this review emphasizes the need for ongoing research to address the identified challenges and optimize VANET performance. Integrating emerging technologies, including 5G, artificial intelligence (AI), and edge computing, offers promising avenues for enhancing system efficiency and sustainability. This review establishes a comprehensive foundation for further advancements in VANET by highlighting key findings and research gaps. Ultimately, the effective implementation of VANET has the potential to significantly improve transportation safety, efficiency, and sustainability, contributing to the realization of smart city initiatives and innovative mobility solutions. This work aims to guide future research directions, ensuring that VANET continues to evolve in alignment with the demands of modern transportation systems and the broader context of intelligent mobility.
Smart AODV Routing Protocol Strategies Based on Learning Automata to Improve V2V Communication Quality of Services in VANET Bintoro, Ketut Bayu Yogha; Priyambodo, Tri Kuntoro; Sardjono, Yadie Prasetyo
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 3, August 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i3.1969

Abstract

The Adhoc On-Demand Distance Vector (AODV) protocol faces challenges in selecting the best relay nodes, which requires optimization to improve performance in Vehicular ad-hoc networks (VANETs). This study aims to enhance Vehicle-to-Vehicle (V2V) communication in VANETs by implementing the Learning Automata-Driven Ad-hoc On-Demand Distance Vector (LA-AODV) routing protocol. LA-AODV is designed to achieve higher packet delivery ratios and optimize data transfer rates, even under congested network conditions, by dynamically adjusting to changing network scenarios. The performance evaluation includes six key metrics analyzed under varying node densities and time intervals, comparing LA-AODV against the standard AODV protocol. Results indicate that LA-AODV consistently outperforms AODV, demonstrating improved efficiency in flood identifier management, reduced data loss, higher packet delivery ratios, better throughput, and reduced end-to-end delay and jitter. Specifically, under a 20-node scenario, LA-AODV exhibits lower flood ID scores (54 vs. 88), reduced packet loss (11% vs. 12%), higher PDR (88.0% vs. 87.0%), and superior throughput (85.34 Kbps vs. 47.26 Kbps). Additionally, LA-AODV achieves lower end-to-end delay (6.84E+09 ns vs. 3.76E+10 ns) and jitter (2.52E+09 ns vs. 2.15E+10 ns). These findings suggest that LA-AODV significantly enhances Quality of Service (QoS) in vehicular ad-hoc networks, positioning it as a promising solution for optimizing V2V communication performance.
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): Journal of Information Technology and Computer Engineering
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
Vehicular Ad-Hoc Networks for Intelligent Transportation System: A Brief Review of Protocols, Challenges, and Future Research Bintoro, Ketut Bayu Yogha
JISA(Jurnal Informatika dan Sains) Vol 7, No 2 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i2.2112

Abstract

Vehicular Ad Hoc Networks (VANET) play an essential role in the advancement of intelligent transportation systems, facilitating real-time communication between vehicles (V2V), infrastructure (V2I), and surrounding environments (V2X). This systematic review analyzes a range of VANET routing protocols, highlighting the strengths and weaknesses of topology-based, position-based, cluster-based, and hybrid methods. Additionally, this review explores core challenges in VANET, including high mobility, data security, Quality of Service (QoS) requirements, and connectivity issues in dynamic and high-density traffic environments. The paper also provides insights into simulation tools and performance metrics employed in VANET research alongside practical applications in modern transportation systems, such as autonomous driving, traffic management, and safety-related communication. Furthermore, this review emphasizes the need for ongoing research to address the identified challenges and optimize VANET performance. Integrating emerging technologies, including 5G, artificial intelligence (AI), and edge computing, offers promising avenues for enhancing system efficiency and sustainability. This review establishes a comprehensive foundation for further advancements in VANET by highlighting key findings and research gaps. Ultimately, the effective implementation of VANET has the potential to significantly improve transportation safety, efficiency, and sustainability, contributing to the realization of smart city initiatives and innovative mobility solutions. This work aims to guide future research directions, ensuring that VANET continues to evolve in alignment with the demands of modern transportation systems and the broader context of intelligent mobility.
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