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INDONESIA
PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer
Published by Universitas Dinamika Bangsa
ISSN : 19076738     EISSN : 25280082     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal PROCESSOR merupakan Jurnal yang diterbitkan oleh STIKOM DINAMIKA BANGSA JAMBI. Jurnal ini terbit 2 kali dalam setahun yaitu pada bulan April dan Oktober. Misi dari Jurnal PROCESSOR adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai Ilmu bidang informatika, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan.
Arjuna Subject : -
Articles 483 Documents
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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
Implementasi React Vite Dalam Pengembangan Antarmuka Sistem Pemesanan Tiket Pesawat Dengan Metode Scrum Alfa Rizzi, Tegar; Aziz Abdillah, Rafly; Efani Yancandra, Yogi; Wijaya, Melinda; Voutama, Apriade
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.2025.20.1.2231

Abstract

This research discusses the development of an airline ticket booking information system interface. The Scrum methodology was employed in the interface development process. Scrum was chosen for its ability to divide the development process into several sprints. At the end of each sprint, suggestions and evaluations for subsequent development are produced, thereby continuously enhancing the effectiveness of each development process. The system, developed using React Vite as the main technology, accelerates the development process and improves user experience through React's Single Page Application architecture, which enables smoother and more efficient navigation throughout the website. Another objective of this research was to reduce paper usage by providing a feature to download tickets in digital format using React PDF technology. Beyond this digital ticket feature, the system incorporates several core functionalities, including ticket booking, payment processing, order history tracking, and notification services. The result of this research is documentation of the interface development process based on the Scrum methodology, demonstrating that all developed features are functioning optimally.
Analisis Kepuasan Pengguna Aplikasi DPS-Denpasar Prama Sewaka Menggunakan Metode End User Computing Satisfaction (EUCS) Arditaloka, I Wayan Angga; Winardana, Made; Indrawan, Gede; Agus Oka Gunawan, Made
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2483

Abstract

The rapid advancement of information technology has encouraged government institutions to adopt digital systems to enhance the effectiveness and efficiency of public services. This study examines user satisfaction with the DPS-Denpasar Prama Sewaka application, which serves as a platform for public complaints and information services in Denpasar City. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM), based on the End User Computing Satisfaction (EUCS) model. Data were collected from 100 randomly selected respondents. Five key variables were analyzed: content, accuracy, format, ease of use, and timeliness. The results indicate that collectively, these variables explain 75% of user satisfaction. However, only three variables-content (27.5%), ease of use (41.2%), and timeliness (29.7%)-have a significant individual impact. Accuracy and format were found to have no significant effect. These findings highlight the importance of improving information quality, accessibility, and prompt service delivery to enhance user satisfaction. The study provides practical recommendations for developers and local governments to refine digital public service systems that are more responsive and efficient in meeting community needs.
Interactive Client-Side Network Simulation with Dynamic Bandwidth Management and Real-Time 3D Visualization Lukman, Lukman; Sri Nugraha, Bhanu
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2500

Abstract

Effective network management in dynamic environments necessitates robust tools for real-time analysis and visualization. This paper presents a client-side network simulation designed to model and visualize complex network behaviors, including dynamic bandwidth allocation, traffic spillover across multiple Internet Service Providers (ISPs), and system-wide congestion throttling. Leveraging Three.js, the system procedurally generates a 25-node network topology and simulates fluctuating traffic demands using a stochastic model. A central router implements a hierarchical spillover logic for external traffic and a proportional throttling algorithm to cap total bandwidth, ensuring network stability under peak loads. Real-time data visualization is achieved through animated data packets, color-coded node states, and an overlaid 2D time-series graph. Validation confirms the system's functional validity, demonstrating its potential as an educational tool and a proof-of-concept for sophisticated digital twins for network operations.
Penerapan Metode Profile Matching pada Penilaian Kinerja Dosen Effendy, Geraldo Revanska; Yuhandri, Yuhandri; Sovia, Rini
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2502

Abstract

The evaluation of lecturer performance at Adzkia University faces challenges in terms of inefficient data processing. This research aims to implement the Profile Matching method to optimize the lecturer performance assessment system, evaluate its effectiveness, and develop an application based on this method. The research was conducted using a quantitative method employing Profile Matching, which includes several stages: GAP calculation, GAP mapping, core factor and secondary factor analysis, total value calculation, and ranking determination. The evaluation was conducted on 38 lecturers considering five main criteria: Adzkian Values, Education, Research, Community Service, and Supporting Activities, which are detailed in 28 sub-criteria. The implementation of the Profile Matching method proved to produce objective assessments by placing Lecturer 31 as the lecturer with the highest score (4.251), followed by Lecturer 3 and Lecturer 30 (4.092). The developed web-based application successfully integrated this method and improved the efficiency of the assessment process. This study demonstrates the effectiveness of the Profile Matching method in evaluating lecturer performance with more objective results. The implemented system helps BPSDM conduct assessments more efficiently and generate more structured reports.
Analisis Performa, Overload dan Kerentanan Pada Website Basarnas Bengkulu Untuk Optimalisasi Kinerja Cheka, Julyane Kevin; Toyib, Rozali; Wijaya, Ardi; Muntahanah
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2507

Abstract

The Bengkulu Basarnas website plays a crucial role in providing information related to search and rescue activities to the public. However, with the increasing number of visitors and the need for fast and accurate information, the site faces several challenges related to performance, overload, and vulnerabilities such as slow page load times, a website that tends to be unresponsive, and indications of defacement, which are certainly detrimental. Therefore, research was conducted with the aim of analyzing and providing recommendations for optimizing website performance. Implementing the Software Testing Life Cycle (STLC) method, a method used for software testing, and assisted by tools such as PageSpeed Insights, Apache Jmeter, and Acunetix, enabled the research to be conducted comprehensively and efficiently. The results obtained an average performance score of 81.87, which is included in the good range but still needs improvement. On overload, the research results were obtained, namely scenario 1 with 5 users (105 samples) there was 0.00% error, scenario 2 with 15 users (315 samples) there was 0.32% error, and scenario 3 with 45 users (945 samples) there was 1.90% which overall shows that website performance is still quite good at low loads but decreases at high loads. And on vulnerabilities, the research results were in the Low severity vulnerabilities category, which means there are minor vulnerabilities and are still relatively safe but still need to be followed up for prevention efforts. Based on these findings, it is recommended to pay attention to server infrastructure, optimize content or images, and improve and pay attention to system security in order to minimize vulnerabilities to prevent threats and attacks that can disrupt website performance.
Penerapan Metode YOLOv5 untuk Klasifikasi dan Deteksi Objek Menggunakan Video Non-Real-Time Apridiansyah, Yovi; Padli, Zeko; Reswan, Yuza; Witriyono, Harry
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2508

Abstract

Deteksi objek merupakan salah satu penerapan utama dari teknologi computer vision dalam bidang kecerdasan buatan. Salah satu algoritma deteksi objek yang banyak digunakan karena efisiensinya adalah YOLOv5. Penelitian ini bertujuan untuk menerapkan metode YOLOv5 dalam mendeteksi dan mengklasifikasikan objek kendaraan dan manusia pada rekaman video non-real-time di kawasan Simpang Tugu Pena Kota Bengkulu. Dataset yang digunakan merupakan video hasil dokumentasi lapangan, yang kemudian dianalisis menggunakan model YOLOv5 dengan pelatihan berbasis transfer learning. Untuk menjaga identitas objek antar-frame, sistem dikombinasikan dengan metode Kalman Filter dan SORT sebagai pelacak objek. Hasil pengujian menunjukkan bahwa model yang dibangun mampu melakukan deteksi objek dengan baik pada kondisi visual yang bervariasi, serta mencapai nilai akurasi yang tinggi berdasarkan pengukuran menggunakan matriks konfusi. Penelitian ini menunjukkan bahwa penerapan YOLOv5 efektif digunakan dalam sistem dokumentasi visual berbasis AI di lingkungan ruang publik yang dinamis.
Pengenalan Pola Depresi Berbasis Suara Menggunakan Ekstraksi Fitur Mel-Frequency Cepstral Coefficients Saputro, Wahju Tjahjo; Fadlil, Abdul; Murinto, Murinto
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2513

Abstract

The identification of depression patterns from human voices is important because depression can interfere with activities, reduce interest in learning, and hinder socialisation. Depression is a significant problem today because there has been a global increase in the number of people suffering from it. The factors contributing to depression are numerous and complex, and can affect all groups, from children to the elderly. The purpose of this study was to identify depression patterns based on voice feature extraction. The feature extraction method used is Mel-Frequency Cepstral Coefficients (MFCC). The MFCC method is capable of extracting features that closely resemble the human auditory system. The dataset used is the EATD-Corpus, which contains 162 recordings of students from Tongji University in China. The results of the study show that depression and healthy patterns can be distinguished using MFCC parameters, namely 25 measurements per frame, 10 frame intervals, an alpha value of 0.97 as the pre-emphasis coefficient, a maximum of 40 Mel filterbank coefficients, and 12 cepstral coefficients. Classification thresholds can be obtained for two classes: healthy with thresholds < 53.00 and depressed ≥ 53.00 using the Self-Rating Depression Scale.
Deteksi Dini Microsleep Pada Pengemudi Kendaraan Roda Empat Melalui Citra Mata Menggunakan Algoritma YOLOv8 Saputri, Rhadis Steffani; Apriliani, Aulia; Amar, Rizky Syahrul; Astri, Lola Yorita
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2529

Abstract

Microsleep adalah episode tidur singkat dan tiba-tiba yang terjadi tanpa kesadaran, terutama saat mengemudi, dan diketahui sebagai salah satu penyebab utama kecelakaan lalu lintas. Penelitian ini bertujuan untuk mengembangkan sistem deteksi dini untuk microsleep pada pengemudi kendaraan roda empat menggunakan algoritma YOLOv8. Sistem ini beroperasi dengan mendeteksi kondisi mata secara real-time melalui kamera dan mengeluarkan peringatan baik yang dapat didengar maupun dilihat ketika mata tetap tertutup selama lebih dari 3 detik. Dataset yang digunakan adalah SleepyDetect dari Roboflow Universe, yang terdiri dari dua kelas yang relevan: Mata Terbuka dan Mata Tertutup. Model dibor menggunakan YOLOv8n. Hasil evaluasi menunjukkan kinerja yang sangat baik, dengan presisi 97,2%, recall 96,7%, F1-score 0,97, dan mAP@0.5 sebesar 97,9%. Sistem ini berhasil diimplementasikan dan diuji dalam berbagai kondisi pencahayaan, menunjukkan respons deteksi yang cepat dan akurat. Penelitian ini menunjukkan bahwa kombinasi visi komputer dan YOLOv8 dapat diterapkan secara efektif untuk meningkatkan keselamatan pengemudi melalui deteksi mikrotidur dini.
Perancangan Sistem Autentikasi Jaringan Nirkabel dan File Server menggunakan RADIUS dan WPA2-Enterprise Tristanto Ari Aji, Tristanto Ari Aji; Kurniawan , Muhammad; Sutanto, Yudi; Slameto, Andika Agus; Kristiary, Ravenusa Arjuna
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2531

Abstract

Network security and efficiency are important aspects in managing network infrastructure, especially in wireless networks that are prone to various forms of attacks. This research aims to design a more secure and efficient wireless network and file server authentication system using the WPA2-Enterprise protocol and a RADIUS server. In this design, the WPA2-Enterprise protocol is used to improve the security of wireless network access with a user identity-based authentication method, not just a generic password. To improve the efficiency of the authentication process, a RADIUS server is used. The RADIUS (Remote Authentication Dial-In User Service) server functions as a centralised authentication centre that verifies user credentials from a predefined database. The system in this research integrates file server service authentication and wireless network usage authentication. Test results show that this design successfully provides more secure authentication, prevents unauthorised access, and simplifies user and access rights management. The use of a RADIUS server and the WPA2-Enterprise protocol allows for flexibility and efficiency in implementing the system in a campus environment. The implementation of this system can be a practical solution in improving the security and efficiency of the wireless network authentication process and internal file server services.

Page 48 of 49 | Total Record : 483

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