EPSILON: Journal of Electrical Engineering and Information Technology
Focus of EPSILON are electrical engineering and information technology. Scope of EPSILON are Power Engineering, Telecommunication & Information engineering, and Control & Instrument Engineering. Scope of this journal for Power Engineering are Renewable/green energy, Solar energy, micro-hydro energy, wind energy, hydro energy, geothermal energy, energy hybrid system, energy monitoring and management, SCADA, power system, power generation operation and control, power transmission, protection and insulation, metering system, electric transportation system, battery technology, power electronics, electromagnetic and computation for power system, electrical machinery and HV diagnosis. Scope of this journal for Telecommunication & Information are Antenna, broadband communication, circuit and system, electromagnetic, telecommunications management, microwave, radio wave, radar and satellite, wireless communication, RF electronic, Optical communication, multimedia broadcasting, multimedia communication, web programming, computer network, and data communication. Scope of this journal for Control & Instrumentation are automation, PLC/DCS/SCADA system, instrumentation and control system, process control, artificial intelligence, mechatronics, robotics, guidance and flight control, electric vehicle, instrumentation engineering education, smart manufacturing, smart sensor, simulation and optimization, microcontroller application/embedded systems, signal and image processing, electronic and microelectronic, biomedical engineering, software engineering, wireless sensor network, and IoT.
Articles
83 Documents
<![CDATA[RANCANG BANGUN BATTERY PACK LITHIUM 144V/220AH UNTUK MOBIL LISTRIK ]]>
<![CDATA[Sunardi, Egi]]>;
<![CDATA[Maria Bestarina Laili]]>;
<![CDATA[Jelita Permatasari]]>;
<![CDATA[Hanopa Abdul Hidayah]]>;
<![CDATA[Diky Zakaria]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/epsilon.v23i1.127
<![CDATA[The development of electric vehicle (EV) technology is advancing rapidly in various aspects, driven by the need for environmentally friendly and efficient transportation solutions. Electric vehicles are powered by electric motors, which require an energy source in the form of a battery arranged into a battery pack. A battery pack consists of battery cells arranged in series and parallel to meet the energy specifications required by the electric vehicle. Currently, lithium batteries are considered the best choice for electric vehicles due to their advantages in energy density and cost per cycle compared to other types of batteries. In the design of this battery pack, the vehicle's specifications require a voltage of 144V to power the electric motor, with a target usage time of 5 hours, leading to a designed capacity of 220Ah. The battery used is a Lithium Ferro Phosphate (LFP) type with specifications of 3.2V and 22Ah. Based on mathematical calculations, the battery pack design utilizes 10 batteries in parallel and 48 in series to achieve the required specifications. The design also takes into account the maximum storage space inside the vehicle, with the battery pack divided into two banks placed in the front and rear of the vehicle to maintain a balanced center of gravity. After assembly, voltage measurements showed that the maximum voltage achieved was 153.6V. Testing was conducted after the batteries were installed in the vehicle, which showed that the vehicle could be operated for 19 hours with an average current of 11.5A. From the test results, the battery capacity was calculated to be approximately 218.5Ah. The test results indicate that the battery performance does not fully match the theoretical calculations, due to factors such as battery characteristics and energy losses in the vehicle system.]]>
<![CDATA[Prototype Aplikasi Sistem Akses Terintegrasi dengan Kartu RFID dan Pengenalan Wajah Berbasis Mikrokontroler Esp32 ]]>
<![CDATA[H.D, Ni Ketut]]>;
<![CDATA[Muhammad Rafii Satrio]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/epsilon.v23i1.128
<![CDATA[Building access systems have enhanced security but often rely on costly foreign products. This research aims to develop an employee attendance application that integrates facial recognition using the Siamese network method with RFID for dual authentification. Designed to improve security and efficiency, the application allows for real-time monitoring and data collection of employee access without requiring additional hardware when expanding the system. The study designs an access system based on RFID and facial recognition with the Siamese network method. The system includes RFID nodes, a base station, a WiFi access point, a web dashboard, and a database. The RFID nodes read UID data, which is sent to the base station for verification. The system uses the ESP32 microcontroller and is integrated with a Next.js web server to monitor and manage employee attendance data. The test results indicate that the RFID can read RFID cards within a reading range of approximately 0 to 10 cm. The ESP-NOW communication can transfer data within a time range of 0 to 341 ms and a distance range of 50 to 400 cm between microcontrollers without using an external antenna. The HTTP communication protocol has a data transfer speed of approximately 700 ms with an internet download/upload speed of 10.5/5.41 Mbps. Facial recognition using the Siamese network model achieved an average threshold of 0.736 out of 0.5 under various lighting conditions and distances.]]>
<![CDATA[Implementasi Sistem Pendeteksi Buku dengan YOLOv8 ]]>
<![CDATA[Maria Bestarina Laili]]>;
<![CDATA[Raihan Alfariji]]>;
<![CDATA[James Tri Septiono]]>;
<![CDATA[Muhammad Farid Idlal]]>;
<![CDATA[Egi Sunardi]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/epsilon.v23i1.130
<![CDATA[Pendeteksian objek secara otomatis merupakan salah satu teknologi yang berkembang pesat dalam bidang visi komputer, khususnya dalam konteks pengelolaan data visual berbasis citra digital. Buku sebagai objek fisik yang umum dijumpai di perpustakaan, toko, dan lingkungan pendidikan memiliki potensi untuk diidentifikasi secara otomatis guna mendukung proses inventarisasi dan digitalisasi. Tujuan jurnal ini ialah untuk mengimplementasikan dan mengevaluasi kinerja algoritma deteksi objek YOLOv8 dalam mengenali dan melokalisasi objek buku pada gambar statis. Model YOLOv8 dipilih karena memiliki arsitektur yang efisien dan telah terbukti unggul dalam kecepatan serta akurasi deteksi. Dataset yang digunakan terdiri dari citra-citra beranotasi yang menggambarkan berbagai kondisi penempatan dan orientasi buku. Setelah melalui proses pelatihan dan pengujian, model dievaluasi menggunakan metrik precision, recall, F1-score, dan mean Average Precision (mAP). Model deteksi ini memiliki nilai box loss sebesar 0.4325 dan class loss sebesar 0.3096. Semakin kecil nilai loss, semakin akurat prediksi yang dihasilkan oleh model. Model juga mencapai mAP 50 sebesar 0.80 dalam metrik, dan mAP50-0.97 sebesar 0.811 dalam metrik. Hasil penelitian ini berhasil mengimplementasikan model YOLOv8 untuk mendeteksi buku dengan tingkat presisi sebesar 88% dan recall sebesar 94% dengan tingkat akurasi sebesar 90% dan 92%.]]>
<![CDATA[Rancang Bangun Sistem Penggerak Pada GPR (Ground Penetrating Radar) ]]>
<![CDATA[Lestari, Putri Cahaya]]>;
<![CDATA[Erwin Renda Wardana]]>;
<![CDATA[Rendy Muslim Arifin]]>;
<![CDATA[Zaki Fadillah]]>;
<![CDATA[, Rizky Augusta Gozzal]]>;
<![CDATA[Barokatun Hasanah7]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/epsilon.v23i1.131
<![CDATA[Ground Penetrating Radar (GPR) has become an essential tool in mapping and imaging subsurface features. However, to enhance precision and control in GPR usage, a GPR drive system utilizes stepper motor technology. The study focuses on the importance of precise control over GPR movement to improve scanning accuracy and image quality. By integrating stepper motors into the drive system, the research endeavors to enhance the precision, reliability, and efficiency of GPR in subsurface scanning. Through detailed design steps, the implementation of stepper motors aims to structurally and measurably control GPR movement. The design and construction of the GPR drive system using stepper motors aim to enhance precision and control in subsurface scanning. Through detailed design steps, the implementation of stepper motors aims to structurally and measurably control GPR movement. The design and construction of the GPR drive system using stepper motors aim to enhance precision and control in subsurface scanning. The integration of GUI and Arduino IDE in stepper motor control has proven effective, providing consistent and accurate control. Performance analysis indicates that stepper motors with A3967 drivers exhibit high accuracy, particularly in movements ranging from 0.5 to 2 cm, with insignificant errors. Stepper motors also demonstrate consistency across various speeds, while the direct relationship between pulse duration and duty cycle influences speed and position control with precision. Thus, the utilization of stepper motors in the GPR drive system improves precision, control, and image quality in subsurface scanning , supporting GPR applications in fields such as geology, archeology, and construction. Keywords : GPR, XY Coordinates, Stepper Motor, Automated drive system, Arduino IDE, and Scanning Precision]]>
<![CDATA[Analisis Quality Of Service (QoS) Jaringan Internet Berbasis Wireless Local Area Network di Gedung Fakultas Psikologi Unjani ]]>
<![CDATA[Tiffany, Nivika]]>;
<![CDATA[Rendi Djuliansyah]]>;
<![CDATA[Fauzia Haz]]>;
<![CDATA[Atik Charisma]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/epsilon.v23i1.133
<![CDATA[Gedung Fakultas Psikologi Unjani, seiring dengan digitalisasi bebagai layanan administrasi, pelayanan publik bagi mahasiswa dan kebutuhan Dosen terdapat fasilitas internet WLAN yang semakin meningkat. Permasalahan yang sering timbul yaitu dalam hal kualitas jaringan internet, terutama pada hari hari sibuk disebabkan karena banyaknya pengguna mengakses jaringan secara bersamaan. Metode penelitian yang digunakan meliputi pengukuran langsung pada jaringan WLAN yaitu Access Point Aruba AP-505 Wi-Fi 6, frekuensi 5 GHz. Pengukuran dilakukan selama 4 hari secara Streaming You Tube, menggunakan Software Wireshark pada laptop Acer RYZEN 5. Pengambilan data dilakukan selama 5 menit, Hasil penelitian menunjukan bahwa kualitas jaringan WLAN di Gedung Fakultas Psikologi Unjani hasilnya bersifat variatif. Berdasarkan hasil rata-rata indeks keseluruhan dari enam hari tersebut dengan nilai rata-rata delay 4,899 ms - 13,83 ms, indeks di angka 4. Rata-rata Jitter yaitu 1,996 ms - 3,915 ms, dengan indeks 3. Packet loss, yang cukup tinggi dari 3,475% - 10,02%, dengan indeks 3. Throughput mulai dari 55,75 Kbps/s - 20.197,75 Kbps/s, dengan indeks yang bervariasi antara 2 hingga 4. Berdasarkan keseluruhan hasil rata-rata indeks dari enam hari tersebut didapatkan hasil sebesar 3.42, menunjukkan bahwa kualitas jaringan tersebut dapat diakategorikan sangat memuaskan. .]]>
<![CDATA[Perancangan dan Realisasi Sistem Kendali Furnace Menggunakan Ratio Control Berbasis Distributed Control System Centum VP R05.04.20 ]]>
<![CDATA[Najmurrokhman, Asep]]>;
<![CDATA[Listi Restu Triani]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/epsilon.v23i1.134
<![CDATA[In the oil and gas processing industry, a reliable control system is essential to ensure energy efficiency and operational safety. One of the critical elements is the control of the air-to-fuel ratio in the combustion process of the furnace. This study aims to design and implement a furnace control system using a ratio control strategy based on the Yokogawa Distributed Control System (DCS) Centum VP R5.04.20. The system is designed to precisely regulate the mass flow rates of air and fuel to achieve optimal combustion efficiency and minimize emissions. Control is executed via PID configuration within the DCS, with parameter tuning optimized to maintain process stability. The implementation results indicate that the system operates under stable conditions with a ratio gain of 2.5, and PID parameters for FIC102 (P=100, I=10, D=0) and PIC201 (P=180, I=60, D=0). The system successfully improves control response and furnace operational efficiency, while also providing a foundation for the future adoption of more advanced automation systems.]]>
<![CDATA[Sistem Lacak GPS Dengan Kontrol Menggunakan Handphone Berbasis IoT ]]>
<![CDATA[Royan Agusthian Nugraha]]>;
<![CDATA[Albi Agasti]]>;
<![CDATA[Dahlia Meylani]]>;
<![CDATA[Ilham Faqih]]>;
<![CDATA[Mura Sakhi]]>;
<![CDATA[Indra Dwisaputra, M.T.]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/fyf76c70
<![CDATA[The development of Internet of Things (IoT) technology enables the creation of efficient and remotely accessible tracking systems. This research aims to design and implement an IoT-based GPS tracking system that can be controlled and monitored in real-time using a mobile phone. The system is built using a Neo-6M GPS module for location data acquisition, an ESP32 microcontroller as the main processing unit connected to the internet via Wi-Fi, and a power management system consisting of a lithium battery, a TP4056 charger module, and a step-down module. The hardware design is integrated onto a custom Printed Circuit Board (PCB) and protected by an enclosure designed with CAD software. Test results show the system can acquire coordinate data with high accuracy, even on par with Google Maps, and can maintain the last valid location when the signal is lost. The charger module testing also demonstrated effective performance in fully charging the battery. Overall, this portable tracking system was successfully developed and functions according to its objectives, providing practical ease of location monitoring.]]>
<![CDATA[Sistem Monitoring Ruang Kosong pada Area Parkir Menggunakan Teknologi Internet of Things ]]>
<![CDATA[Ardiansyah, Rian]]>;
<![CDATA[Mahishya Darizqhi Dyah Saputri]]>;
<![CDATA[Haris Gibran Rizantha]]>;
<![CDATA[nugrah Al Hafidz]]>;
<![CDATA[Rafli Nur Ikhsan]]>;
<![CDATA[Rahmat Fadillah]]>;
<![CDATA[Indra Dwisaputra]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/eexfws86
<![CDATA[The increasing number of vehicles in urban areas has led to serious parking space issues, particularly in shopping centers, office complexes, and university campuses. The difficulty in locating vacant parking spots contributes to traffic congestion, fuel waste, and higher exhaust emissions. This study develops a parking lot monitoring system based on the Internet of Things (IoT), which detects vehicle presence in each parking slot in real time using sensors. The availability of parking spaces is displayed digitally, allowing drivers to find vacant spots without circling around. This system also enhances parking management efficiency by enabling centralized and automated monitoring of parking conditions. Implementation results show that the system effectively improves space utilization and significantly reduces the time required to find a parking spot.]]>
<![CDATA[Sensor dan Kalibrasi Partial Discharge untuk Diagnosis dan Pemantauan Kondisi Peralatan Tegangan Tinggi: Analisis Kritis ]]>
<![CDATA[Agres Yudithia, Frenzi]]>;
<![CDATA[Rosnita Rauf]]>;
<![CDATA[Atik Charisma]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/f6a3mf12
<![CDATA[The crucial challenge in Condition Monitoring (CM) and Predictive Maintenance of high-voltage (HV) equipment is achieving reliable detection and precise localization of the Partial Discharge (PD) source. PD is a vital indicator of insulation degradation. This challenge is compounded by the complex and non-homogeneous operational environment, where internal structures like transformer windings and cores significantly distort and attenuate signals, while simultaneously creating the phenomenon of acoustic multipath. This critical analysis examines the convergence of advancements in sensor technology, calibration techniques, and sophisticated algorithms in the effort to overcome these PD localization challenges. The review highlights significant progress across various sensor types, including Acoustic Emission (AE) sensors optimized with the KLM Model to enhance sensitivity, UHF sensors that offer superior noise immunity, and innovative pressure-balanced fiber-optic acoustic sensors specifically designed for detecting dual PDs. To achieve higher localization accuracy, signal processing techniques have evolved beyond the basic Time Difference of Arrival (TDOA) method. Currently, robust algorithms are applied, such as Generalized Cross-Correlation with Phase Transformation (GCC-PHAT), which effectively suppresses noise and reflections, and Particle-Swarm-Optimization Route-Searching (PSORS) to intelligently model the acoustic signal propagation paths around internal obstructing structures. Alternative approaches also include online localization based on electrical Transfer Function analysis. The integration of highly sensitive sensor technology with intelligent pathfinding algorithms is key to realizing accurate multi-method diagnosis, thereby supporting more reliable and efficient operation of HV equipment]]>
<![CDATA[The Optimasi Jaringan 4G LTE Menggunakan Metode Coverage Planning dengan Frekuensi 1800 MHz di Kecamatan Cibitung ]]>
<![CDATA[H.D, Ni Ketut]]>;
<![CDATA[Fauzia Haz]]>;
<![CDATA[Reza Zanarsyah Putra]]>
<![CDATA[ EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology ]]>
Publisher : <![CDATA[Department of Electrical Engineering, UNJANI ]]>
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DOI: 10.55893/wvbvcb53
<![CDATA[As a region with rapid urbanization and residential development, Cibitung District faces challenges in achieving equitable 4G network quality. Optimization of 4G coverage has become an essential need. Therefore, this study focuses on optimizing the 4G LTE network in Cibitung District using the coverage planning method through link budget calculations to obtain the Maximum Allowable Path Loss (MAPL). Two propagation models, Okumura-Hata and Cost-231, were then used to estimate the coverage area per cell and the required number of sites. The optimization simulation was conducted using Atoll software to analyze signal coverage distribution based on the Reference Signal Received Power (RSRP) parameter. This method was chosen to estimate coverage capable of reducing blank spots and reaching the entire study area. The results show that using the Okumura-Hata model requires 16 BTS sites, while the Cost-231 model requires 21 BTS sites to cover the entire region. Based on RSRP, good-quality coverage (RSRP ≥ -100 dBm) using the Okumura-Hata model reaches 35.120 km² or 97.95%, while the Cost-231 model only covers 14.921 km² or 41.5% of the total area. This proves that appropriate propagation model selection and coverage optimization strongly influence 4G network implementation in urban areas.]]>
