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All Journal Jurnal Teknik EPSILON: Journal of Electrical Engineering and Information Technology
Atik Charisma
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Reliability Index Assessment-Section Technique pada Distribusi Listrik Penyulang Suci Menggunakan Software ETAP Haz, Fauzia; Arya Mustopa; Giri Angga Setia; Dede Furqon; Atik Charisma; M. Reza Hidayat
Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik Vol 23 No 1 (2024): Jurnal Teknik - Media Pengembangan Ilmu dan Aplikasi Teknik
Publisher : Fakultas Teknik - Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/jt.vol23no1.528

Abstract

Problems that often occur with electricity distribution network quality, continuity and availability services consumers. Study aims evaluate reliability of the 20 kV medium-voltage electricity distribution system at the Suci ULP Garut Kota feeder, where 2021 Suci feeder experienced 14 disturbances duration 791 minutes (13.1 hours), including a medium-voltage overhead line that broke 2 Phase. Determining the reliability index value electricity distribution system of the Kudus ULP Garut City feeder, mathematical calculations were carried out using RIA-section technique predetermined formula and simulated using ETAP software with study case reliability assessment. Based on the results of the study, improvement was made that the reliability value feeder was stable. Repairs were carried out 2 times, first repair, 2 fuse cutouts were installed and 4 transformers were moved, while the second repair was to divide the Suci feeder into 2 parts, namely the western Suci feeder and the eastern Suci feeder. So making these improvements the reliability index Suci feeder becomes stable and meets what has been SPLN 68-2: 1986, which is below SAIFI 3.3 times/customer/year and SAIDI 21.9 hours/customer/year.
Analisis Quality Of Service (QoS) Jaringan Internet Berbasis Wireless Local Area Network di Gedung Fakultas Psikologi Unjani Tiffany, Nivika; Rendi Djuliansyah; Fauzia Haz; Atik Charisma
EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 1 (2025): EPSILON - Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/epsilon.v23i1.133

Abstract

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. .
Sensor dan Kalibrasi Partial Discharge untuk Diagnosis dan Pemantauan Kondisi Peralatan Tegangan Tinggi: Analisis Kritis Agres Yudithia, Frenzi; Rosnita Rauf; Atik Charisma
EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/f6a3mf12

Abstract

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
The ANALISIS PARAMETER QOS (QUALITY OF SERVICE) PADA JARINGAN WIFI DI GEDUNG FAKULTAS TEKNIK UNIVERSITAS JENDERAL ACHMAD YANI DENGAN MENGGUNAKAN WIRESHARK Tiffany, Nivika; Nicko Wahyudi; Atik Charisma; Hajiar Yuliana; Sofyan Basuki; Ade Sena Permana
EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/e6py7a65

Abstract

WiFi performance is a pressing need in academic, especially to support learning, research, and communication. In the digital era, the demand for high network quality is increasing along with the heavy dependence on internet access for various academic activities. Therefore, the evaluation of the WiFi network quality in Jenderal Achmad Yani University is focus of this study, the network meets the required quality standards. This study uses a quantitative method with an observational approach to analyze the Quality of Service (QoS) parameters such as throughput, packet loss, delay, and jitter. The quantitative method was chosen because it is able to provide objective and accurately measured data, while the observational approach allows researchers to directly observe internet traffic and measure QoS parameters. Testing was conducted for three days to obtain representative data on the condition of the WiFi network in the building. From the test results conducted, it is known that the quality of the network in the Faculty of Engineering Achmad Yani University is: Average throughput of 1406.76 Kbps, packet loss of 0%, delay of 70.21 ms, jitter of 85.96 ms. With an average overall index of QoS parameters of 3.25 and included in the Good category according to TIPHON.
Co-Authors Ade Sena Permana Agres Yudithia, Frenzi Arya Mustopa Dede Furqon Fauzia Haz Giri Angga Setia Haz, Fauzia M. Reza Hidayat Nicko Wahyudi Rendi Djuliansyah Rosnita Rauf Sofyan Basuki Tiffany, Nivika Yuliana, Hajiar