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All Journal ComEngApp : Computer Engineering and Applications Journal Transmisi: Jurnal Ilmiah Teknik Elektro PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal technoscientia Prosiding SNATIF Teknika: Jurnal Sains dan Teknologi Prosiding Semnastek Scientific Journal of Informatics Proceeding SENDI_U SMATIKA Jurnal Ampere JURNAL NASIONAL TEKNIK ELEKTRO PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Qua Teknika Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Pendidikan dan Teknologi Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Teknik Elektro Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Emitor: Jurnal Teknik Elektro INOVTEK Polbeng - Seri Informatika Smatika Jurnal : STIKI Informatika Jurnal ITEJ (Information Technology Engineering Journals)
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Vehicle Class Prediction at Toll Gate Using Deep Learning Suci Lutfia Nisa; Sopian Soim; Muhammad Zakuan Agung
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9833

Abstract

In the era of digitalization and automation, efficiency in the traffic management system at toll gates is very important. One of the efforts to improve this efficiency is to develop an automatic vehicle class detection system using deep learning technology, especially Convolutional Neural Network (CNN). This research aims to design and implement a CNN model that can identify and classify the types of vehicles passing through toll gates. The model development process includes collecting and annotating vehicle image data, data pre-processing, and CNN model training and testing. The evaluation results show that the developed model can achieve an accuracy of about 96% in detecting vehicle classes, so it can be integrated with the toll gate system to increase the speed and accuracy in the vehicle classification process. Thus, this solution is expected to reduce the waiting time of toll users and improve operational efficiency.
QoS Optimization and Bufferbloat Mitigation in 5G Standalone Networks using 5QI Mapping Ghina Rezkiah Octavia; Sopian Soim; Eka Susanti
SISTEMASI Vol 15, No 6 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i6.6480

Abstract

Bufferbloat in the Best Effort traffic profile (5QI = 9) of open-source 5G Standalone (5G SA) networks leads to excessive packet queuing at the User Plane Function (UPF) and gNodeB, resulting in significant degradation of 4K video streaming performance under network congestion. This study investigates the effectiveness of 5QI = 4 mapping for mitigating bufferbloat and optimizing the Quality of Service (QoS) of 4K video streaming in 5G SA networks using secondary data compiled from previous studies. A quantitative comparative analysis was conducted using QoS metrics, including throughput, delay, jitter, and packet loss, systematically extracted from 30 peer-reviewed publications published between 2021 and 2026 following the PRISMA protocol. The results demonstrate that mapping traffic to the 5QI = 4 priority class consistently maintains 4K video throughput above the critical threshold of 25 Mbps across different experimental platforms, reduces end-to-end latency to below 150 ms in accordance with the ITU-T Y.1541 Class 4 recommendation, and limits jitter to less than 15 ms. The proposed mapping strategy prioritizes packet scheduling at the UPF through the N4 interface under the control of the Session Management Function (SMF), while intentionally deprioritizing and, when necessary, dropping lower-priority background traffic to preserve service quality for delay-sensitive applications. Furthermore, the findings demonstrate that modifying the MongoDB policy database within the Policy Control Function (PCF) of Open5GS is an effective approach for mitigating network congestion and eliminating visual stuttering during Ultra High Definition (UHD) video streaming.
Real-Time Lightweight Monitoring System for 5G Standalone Networks Using MQTT and Node-RED Muhammad Juan Farza Rafly Alganiyu; Sopian Soim; Mohammad Fadhli
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18144

Abstract

The rapid development of 5G Standalone networks requires a monitoring system capable of operating in real time while maintaining efficient computational resource utilization. This study aims to design and implement a lightweight monitoring system based on Message Queuing Telemetry Transport and Node-RED for a Universal Software Radio Peripheral B210-based 5G Standalone infrastructure. The proposed system applies a publish/subscribe communication architecture in which telemetry data are distributed through Message Queuing Telemetry Transport and visualized using a Node-RED dashboard interface. The research environment utilizes Open5GS and srsRAN to generate and monitor network parameters in real time. The results demonstrate that the developed monitoring system is capable of displaying telemetry information responsively with stable data transmission performance and low computational overhead. In addition, the lightweight telemetry architecture successfully supports centralized monitoring without significantly affecting the operational performance of the main system. Therefore, the proposed approach can be considered an effective alternative solution for supporting efficient and real-time operational monitoring in Software Defined Radio-based 5G Standalone environments
Link Budget Prediction at 28 GHz Frequency Based on Rain Attenuation Model in Palembang City Tarnita Rizky Prihandhita; Sopian Soim; Mohammad Fadhli
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/apvf0b18

Abstract

5G communication technology brings a major leap in the development of wireless networks, especially through the utilization of millimeter wave frequencies. However, mmWave signals are very susceptible to rain attenuation, which can significantly reduce the quality of 5G services. This study aims to estimate how much signal loss and reception power there will be for 5G at a frequency of 28 GHz in Palembang City and to examine how rain affects the mmWave signals. MATLAB simulations use Palembang rainfall data for the March 2025 period and use the ITU-R P.618-5 rain attenuation model, Simple Attenuation Model, and ITU-R Tropical. Using the Urban Macro propagation scenario in line-of-sight and non-line-of-sight conditions. The results show that distance and rainfall affect signal attenuation, with NLOS conditions producing worse attenuation than LOS. At high rainfall of 84.5 mm/hour in NLOS conditions, ITU-R P.618-5 predicts the highest total path loss of about 317 dB, ITU-R Tropical about 247 dB, and SAM about 227 dB. With the received power of ITU-R P.618-5 model of -260 dBm, ITU-R Tropical of -190 dBm, and SAM of -170 dBm.
Analysis of Openwrt-Based X86 Router Performance in Bandwidth Management on Local Internet Network Faris Alqhaniyyu; Sopian Soim; Muhammad Zakuan Agung
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/h7m8mz76

Abstract

This research aims to analyze the performance of OpenWRT-based x86 routers in local network bandwidth management through the application of Quality of Service (QoS), traffic shaping, and rate limiting features based on NFTables. Testing was conducted directly on the local network of Muara Merang Village for two weeks using an x86 mini PC as the main router. Data was collected using Wireshark and Ping to measure throughput, latency, jitter, and packet loss parameters before and after QoS configuration. The results showed an increase in VoIP service throughput from 950 Kbps to 1,296 Kbps (±36% increase), latency dropped from 38 ms to 3 ms (±92% decrease), jitter from 18 ms to 6 ms, and packet loss reduced from 2.5% to 0%. While on 4K streaming services, throughput increased from 19 Mbps to 27 Mbps (±42% increase), latency dropped from 63 ms to 47 ms, and jitter from 55 ms to 47 ms, with total elimination of packet loss. This study makes a novel contribution by testing the effectiveness of QoS on x86 architecture-based OpenWRT in a local context that has rarely been objectified before, in contrast to previous studies that predominantly used ARM/MIPS architecture and small network scenarios. The findings reinforce the potential of combining OpenWRT and x86 devices as an adaptive and cost-effective networking solution for MSMEs, educational institutions, and digital communities in infrastructure-constrained regions.
AVX2 SIMD Optimization for DSP Load and QoS in a srsRAN-Based Private LTE Network Muhammad Arcy Alfaathir; Sopian Soim; Mohammad Fadhli; Achmad Aflah Jamazy
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 2 (2026): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i2.4147

Abstract

Private 4G LTE networks built on open-source platforms provide cost-effective localized connectivity. However, executing baseband Digital Signal Processing (DSP) imposes a massive computational burden on general-purpose CPUs. This study evaluates the correlation between DSP load and end-to-end Quality of Service (QoS) in a USRP B210-based Private 4G LTE prototype using srsRAN and Open5GS. To prevent CPU saturation, Advanced Vector Extensions 2 (AVX2) SIMD instructions and CPU core affinity were applied. The experimental design evaluated the system using two concurrent User Equipment (UEs) under Line-of-Sight (LOS) outdoor conditions. Compared to a non-optimized baseline, the AVX2 optimization successfully stabilized the host processor at a 60.8% peak load and achieved a downlink throughput of 35.3 Mbps without radio underflows. However, multiplexing complex baseband signals under heavy concurrent traffic severely congested the OS-level queues. This caused severe bufferbloat, escalating the average end-to-end latency to 2021 ms compared to its idle state. These findings demonstrate that while AVX2 optimization resolves the CPU bottleneck, software-induced bufferbloat remains the primary limitation in SDR deployments.
Co-Authors Abu Hasan Achmad Aflah Jamazy Ade Silvia Handayani Adewasti Adewasti Adewasti, Adewasti Ahmad Adriansyah Ahmad Jazuli Ahmad Taqwa Ali Nurdin Alpharisy, Kevin Farid Alqhaniyyu, Faris Amiza, Ibel Dwi Amperawan Amperawan Amperawan Amperawan, Amperawan Anisah, Masayu APRILIANI, DEFINA Aryanti Aryanti . Aryanti Aryanti Ciksadan, Ciksadan Damsi, Faisal Deta Mediana, Salwa Diraputra, M Yoga Azto Dody Novriansyah EKA SUSANTI Fadhli, Mohammad Fahrudin, Gantar Fitra Faisal Damsi, Faisal Farhan, Novendra Faris Alqhaniyyu Fathria Nurul Fadillah Fistania Ade Putri Maharani Frenica, Agnes Garnis, Aishah Garnis, Aishah Ghina Rezkiah Octavia Gusni Amini Siagian Hafizh Ulwan Handayani, Kurnia Wati Pascitra Hj. Lindawati Humairoh, Sherina Husni, Nyayu Latifah Ihsan Mustaqiim Irawan Hadi Irawan Hadi Irma Salamah Irma Salamah Jami, Nurlita Joni, Bahri Joni, Bahri Junaidi Junaidi Junaidi Junaidi Junaidi, Junaidi Kgs Muhammad Farhan Rabbaniansyah Khairunnisa Khairunnisa L. Lindawati LINDAWATI Lindawati Lindawati Lindawati Lindawati Lindawati Lindawati M Yoga Azto Diraputra Maharani, Fistania Ade Putri Martinus Mujur Rose Mohammad Fadhli Muhammad Arcy Alfaathir Muhammad Juan Farza Rafly Alganiyu Muhammad Zakuan Agung Mujur Rose Nabila, Puspita Aliya Nadiah Nadiah Nakiatun Niswah Nasron Nasron Novianda, Nabila Rizqi Novianda, Nabila Rizqia Novriansyah, Dody Nurhajar Anugraha Nurul Fadhilah Oktariani Oktariani Oktariani, Oktariani Oktavia Manalu, Ria Pipit Wulandari Putri Andela Putri Vandalis, Yoke Annisa Putri, Alda Nabila Rabbaniansyah, Kgs Muhammad Farhan Raihanah, Adinda Ramadhan, Muhammad Fadli Rani Purnama Sari Repi, Intan Putri Ayu Agita Respati, Rayhan Dhafir Riona Alpeni Rivaldo Arviando Rizky, Putri Alifia Rodicky, Nadio Rose, Mujur Rumiasih Rumiasih Salsabila Dina Sari Sari, Rani Purnama Sarjana Sarjana Sarjana, Sarjana Savitri, Yulivia Rhadita Seliana, Imalda Septiani, Dinda Sholihin Sholihin Sholihin Sholihin Subianto, Cahyo Bayu Suci Lutfia Nisa Sudirman Yahya Suroso Suroso Suroso Suroso suzan zefi Tarnita Rizky Prihandhita Tarnita Rizky Prihandhita Tely, Aristo Theresia Enim Agusdi Trisa Azahra Wulandari, Pipit Yanziah, Asma Zakuan Agung, Muhammad