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All Journal Annual Research Seminar Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian Masyarakat Multidisiplin Proceeding Applied Business and Engineering Conference Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) SATIN - Sains dan Teknologi Informasi Jurnal INFOTEL Jurnal Pengabdian Kompetitif The Indonesian Journal of Computer Science
Yoanda Alim Syahbana
Politeknik Caltex Riau
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Pendeteksi dini dan penjejak kendaraan yang datang dari jarak jauh dengan pendeteksi referensi titik hilang untuk lampu lalu lintas adaptif Yoanda Alim Syahbana; Dodi Zulherman; Yokota Yasunari
JURNAL INFOTEL Vol 15 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i2.890

Abstract

Real-time traffic monitoring is essential for the operation of an adaptive traffic lighting system and plays a significant role in decision-making, particularly signaling in roadworks. When only one lane is accessible due to temporary road blockage, early detection of oncoming vehicles is crucial to minimize bottlenecks near the traffic light that could result in congestion and accidents. This research aimed to enhance the detection and tracking of traffic at a distance from the traffic light. We utilized the vanishing point as a reference for detection and calculated the region of interest. We implemented the proposed method on twelve traffic surveillance videos and evaluated the system performance based on how quickly it could detect incoming traffic compared with the R-CNN method. The proposed method detected target vehicles in an average of 17.75 frames, while the R-CNN method required an average of 63.36 frames. Moreover, the proposed method’s precision depends on the number of pixel orientations used to estimate the vanishing point and the definition of the region of interest. Therefore, the proposed method for enhancing the safety and reliability of an adaptive traffic light system is reliable.
Object Detection and Monitor System for Building Security Based on Internet of Things (IoT) Using Illumination Invariant Face Recognition Chatisa, Ivan; Syahbana, Yoanda Alim; Wibowo, Agus Urip Ari
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 1, February 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i1.1622

Abstract

Theft and intrusion are crimes that often occur in neighborhoods when there is opportunity or negligence by owners and security personnel. Many studies have been carried out to improve environmental security by applying cameras as a surveillance medium. However, the camera is not optimal in detecting objects when the lighting conditions are lacking. Therefore, in this study, a monitoring and object detection system was built by applying the Illumination Invariant model. This model is used to improve the appearance of the image from light and shadow reflections. The process of detecting and identifying objects is done by using human facial features (face detection) captured by the camera. The camera used is a Logitec C270 Webcam 720p which is connected via a USB port on the Raspberry Pi 4. The Raspberry Pi 4 processes human face image data and sends the processing results to a MySQL database using the HTTP protocol. Data transmission is done using the Python Flask web framework. The system was successfully run 100% by using black box testing of all functional requirements. Tests on the object detection feature were carried out based on different lighting conditions 15 times by comparing the original image and the results of the Illumination Invariant implementation. Based on the test results obtained object detection accuracy of 86.7%.
Integration of MQTT and Node-RED for IoT-Based Server Room Temperature Monitoring System Syahbana, Yoanda Alim; Jati, Aditya
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The absence of temperature monitoring in the server room of PT PLN (Persero) Unit Induk Distribusi Riauand Kepulauan Riau (UID RKR) poses a high risk to the stability of business processes at UID RKR. Without reliabletemperature monitoring, servers can experience overheating, potentially causing equipment damage and data loss. Thiswould result in disruptions to the electricity services provided by UID RKR. Based on these potential issues, this researchimplements an IoT device consisting of an ESP32 and a DHT22 temperature sensor connected to the Telegramapplication. The IoT device monitors the server room temperature in real-time and sends notification messages throughthe Telegram chatbot API if there is a drastic temperature change in the server room. The Information TechnologySystems Division (DSTI) of UID RKR can also send commands to the chatbot to obtain device status. Communicationbetween the IoT device and the chatbot is facilitated through the MQTT protocol. The integration of IoT devices, API,and the visual display of the monitoring system is developed using Node-RED, which strongly supports real-time dataprocessing. The monitoring system has been tested, including initial connection tests, temperature monitoringfunctionality, Telegram API message delivery, and system reliability. The test results show that the system has worked100% effectively and can reliably monitor the server room temperature 24/7 in real-time. Validation with DSTI has alsobeen conducted, and DSTI acknowledges the benefits provided by the monitoring system.
Implementasi Algoritma Deep Q-Network (DQN) pada Lampu Lalu Lintas Adaptif Berdasarkan Waktu Tunggu dan Arus Kendaraan Putra, Ridho Amanda; Syahbana, Yoanda Alim; Ananda
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4372

Abstract

Traffic congestion often occurs due to the alternating road closure system during repairs on one side of the road, forcing vehicles to take turns passing the unrepaired side. The use of temporary traffic lights with fixed timing is often ineffective because it does not account for the imbalance in traffic flow from both sides of the road. To address this issue, this study implements the Deep Q-Network (DQN) algorithm to optimize traffic light duration based on vehicle wait times and traffic flow. Testing was conducted using the SUMO simulator, focusing on the parameters of epoch, exploration rate, and discount factor that affect the performance of the DQN agent. The results show that DQN achieves optimal performance when configured with an exploration rate of 1 and a discount factor of 0.9, after training for 50 epochs and testing for 10 epochs. In this configuration, DQN proves to be more adaptive in managing traffic lights compared to conventional methods that use fixed timing for green and red lights. Although the fairness value of DQN is lower, it successfully reduces congestion and improves overall traffic efficiency.
Design and Implementation of Intelligent Traffic Lights for One-Way Open and Close Roads Based on Reinforcement Learning Yoanda Alim Syahbana; Sugeng Purwantoro E.S.G.S; Muhammad Wahyudi; Muhammad Imam Akbar; Ibnu Zachri Baihaqi
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2691

Abstract

This study aims to design and implement an intelligent traffic light system for one-way open and close road conditions, commonly encountered during road repair projects. These situations often cause congestion due to alternating vehicle flow in a single lane. To address this issue, the system utilizes a Reinforcement Learning (RL) algorithm to dynamically adjust the traffic light timing based on real-time traffic conditions. The research was conducted in three main stages: (1) designing the network topology and IoT devices using Raspberry Pi, ESP modules, and Access Points (APs), (2) implementing the intelligent traffic light system, and (3) conducting a functional evaluation. A key performance metric evaluated was the response time of the system. Experimental results showed that the traffic light system achieved an average response time of 0.51 seconds, indicating that it is responsive and suitable for real-time operation. The successful integration of RL and MQTT-based communication also demonstrates the feasibility of deploying this system in dynamic traffic environments. Further research is recommended for field testing with additional sensor integration and advanced RL models to enhance system accuracy and efficiency
Workshop Live Streaming Menggunakan OBS Untuk MGMP TIK Pekanbaru Ibnu Surya; Ivan Chatisa; Yoanda Alim Syahbana; Muhammad Ihsan Zul; Yuli Fitrisia; Jan Alif Kreshna; Harumin Harumin; Irgi Yoga Pangestu
Jurnal Pengabdian Kompetitif Vol. 5 No. 1 (2026): Jurnal Pengabdian Kompetitif (JPK)
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/pengabdiankompetif.v5i1.2802

Abstract

OBS is open-source software that needs to be introduced to the community, particularly to organizations and companies with a high demand for live streaming communication. This needs to be introduced and optimized because the infrastructure is generally already available and running well and is almost evenly distributed among certain organizations, both companies and high schools. OBS can be applied for streaming communication purposes on Internet-based networks. This activity is a PkM, which is a collaboration between Polytechnic Caltex Riau and the Information and Communication Technology Subject Teacher Working Group (MGMP TIK) in Pekanbaru and Kampar, Riau. Live Streaming Workshop/training using OBS to introduce and deepen the material for ICT teachers to teach multimedia network material, streaming technology. For this purpose, training and evaluation were conducted before and after the workshop on teachers' knowledge of live streaming. Prior to the workshop, approximately 79% understood the material, After being introduced to the participants and trying out the practice, results showed that approximately 100% found it easy to understand and could be applied to support multimedia network practical work.
Reward Scheme Analysis for DQN-Based Adaptive Traffic Signal Control in Road Repair Zones Yoanda Alim Syahbana; Muhammad Wahyudi; Fikri Muhaffizh Imani; Ardianto Wibowo; Fatur Rizky Al-Farisz
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): June 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.7381

Abstract

Traffic congestion caused by temporary road repairs often forces bidirectional traffic to alternate through a single lane, leading to increased delays and imbalanced traffic flow. This study investigates the impact of reward scheme design on the performance of a Deep Q-Network (DQN)-based adaptive traffic signal control system in such constrained environments. Using the Simulation of Urban Mobility (SUMO), a traffic scenario involving 1,656 vehicles over 1,800 seconds was modeled to evaluate six reward scheme configurations combining Traffic Flow (TF), Waiting Time (WT), and Average Speed (AS): TF-TF, TF-WT, WT-TF, WT-WT, AS-TF, and AS-WT. The DQN agent, implemented with a two-layer neural network and trained for 50 epochs, dynamically adjusted signal timing to balance traffic from opposing directions. Experimental results indicate that the AS-WT configuration achieved the most balanced performance, producing the best fairness index (1.04) while maintaining stable traffic flow. In contrast, schemes with misaligned or redundant metrics showed significantly poorer performance. These findings highlight the importance of reward design in reinforcement learning-based traffic signal control and suggest that carefully selected reward schemes can improve fairness and efficiency in temporary road repair zones.
IMPLEMENTASI SCL UNTUK MENAMBAH KOMPETENSI SISWA SMK DALAM MEMONITOR PROYEK IOT MELALUI PLATFORM BLYNK: SCL IMPLEMENTATION TO ADD VOCATIONAL SCHOOL STUDENT COMPETENCE IN MONITORING IOT PROJECTS THROUGH THE BLYNK PLATFORM Yoanda Alim Syahbana; Sugeng Purwantoro E.S.G.S; Memen Akbar; Wenda Novayani; Mardhiah Fadhli
Jurnal Pengabdian Masyarakat Multidisiplin Vol 6 No 3 (2023): Juni
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v6i3.3192

Abstract

SMK Taruna Persada Dumai is one of the vocational schools that participate in the SMK Center of Excellence program. This program focuses on developing specific skill competencies for SMK students. Competency development is prioritized on competencies that are aligned with the business world, industrial world, and world of work. Based on the evaluation of the previous year's Community service activities, the SMK Taruna Persada Dumai asked to continue the activity to increase its students’ competencies. The competency that will be taught in the 2022 Community service PSTRK is an introduction to the field of IoT which is currently developing. PSTRK implements Student-Centered Learning (SCL) to increase the competency of SMK students in monitoring IoT projects through the Blynk platform. Community service was held on September 6, 2022, from 9.00 am to 14.00 pm. This activity was attended by 20 students from the Department of Computer Network Engineering, SMKS Taruna Persada Dumai City. The given SCL module consists of 5 parts. The first part focuses on the small group discussion learning model in the introduction of processors, actuators, and sensors. Then, in the second part, the students simulated the LED and ESP32 circuits using the wokwi.com simulator. The third part is followed by a case study model of the LED series and NodeMCU 8266. Students’ enthusiasm for independent learning makes this third part take a long time. So, the fourth part in the form of colorful light control role-plays in the form of LED control via Blynk, and the fifth part in the form of a discovery learning model for reading DHT11 sensor data did not have time to work on it. As a solution, the Community service team left two sets of learning modules for students to work on independently later. At the end of the lesson, feedback from students was collected and the results showed their satisfaction with the material provided, the way it was presented, the quality of the modules, and the suitability of the material. The students also hope to be included in other Community service programs with different materials.
Implementasi dan Workshop Penggunaan Aplikasi Penerimaan Peserta Dididk Baru (PPDB) Sekolah bagi Guru dan Operator mardhiah fadhli; Dini Nurmalasari; Yuli Fitrisia; Wenda Novayani; Memen Akbar; Sugeng Purwantoro; Yoanda Alim Syahbana
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 2 No. 4 (2024): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jiter-pm.v2i4.6233

Abstract

Penerimaan Peserta Didik Baru (PPDB) merupakan kegiatan rutin sekolah setiap tahunnya yang dilakukan untuk mendapatkan calon peserta didik baru. Sekolah memerlukan media promosi dan informasi yang tepat agar informasi penerimaan calon peserta didik baru dapat di terima oleh masyarakat banyak. Salah satu bentuk teknologi informasi yang banyak digunakan untuk berbagi informasi adalah aplikasi berbasis website. Proses penerimaan peserta didik baru (PPDB) yang dilakukan MI Muhammadiyah 01 Pekanbaru saat ini masih dilakukan secara manual, masih menggunakan formulir sehingga sering terjadi berbagai masalah dari penginputan data yang lambat, berkas pendaftaran yang tidak tersusun rapih, antrian pendaftaran dan calon peserta didik terkadang kesulitan mendapatkan informasi tentang sekolah tersebut dan proses pendaftarannya. Untuk itu perlu dibangun aplikasi PPDB Online yang mampu mengelola pelaksanaan penerimaan peserta didik baru dengan lebih efektif dan efisien. Aplikasi PPDB sudah selesai dibangun dan dilakukan sosialisasi penggunaan aplikasi dalam bentuk kegiatan workshop. Dalam kegiatan ini dihadiri oleh 6 orang peserta yang terdiri dari kepala sekolah, panitia PPDB dan bendahara sekolah. Hasil evaluasi kegiatan menyatakan 98,67% dari peserta merasakan bahwa kegiatan ini sangat bermanfaat dan sangat sesuai dengan harapan mereka
Co-Authors Agus Urip Ari Wibowo Agus Urip Ari Wibowo Akbar, Memen Ananda Ardianto Wibowo Chatisa, Ivan Dodi Zulherman Fatur Rizky Al-Farisz Fikri Muhaffizh Imani Harumin Harumin Ibnu Zachri Baihaqi Irgi Yoga Pangestu Ivan Chatisa Jan Alif Kreshna Jati, Aditya Mardhiah Fadhli Mardhiah Fadhli, Mardhiah memen akbar Muhammad Ihsan Zul Muhammad Imam Akbar Muhammad Wahyudi Nurmalasari, Dini Purwantoro E. S. G, Sugeng Putra, Ridho Amanda Rochman Widyatmoko Sugeng Purwantoro Sugeng Purwantoro E.S.G.S Surya, Ibnu Syefrida Yulina Wecka Imam Yudhystira Wenda Novayani Widyatmoko, Rochman Yasunari Yokota Yokota Yasunari Yokota Yasunari Yuli Fitrisia Yuli Fitrisia