Article Per Year (5 Year)
p-Index From 2021 - 2026
2.555
P-Index
This Author published in this journals
All Journal International Journal of New Media Technology Jurnal Teknik TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat JTEIN: Jurnal Teknik Elektro Indonesia Industrial Research Workshop and National Seminar EPSILON: Journal of Electrical Engineering and Information Technology
Dede Furqon Nurjaman
Universitas Jenderal Achmad Yani
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Analisis Perbaikan Drop Tegangan dengan Metode Pecah Beban pada Penyulang GNAP PT. PLN (Persero) ULP Plered Nurjaman, Dede Furqon; Hakim Achmad Rifan; Taryana, Een; Hidayat, Wahyu
EPSILON: Journal of Electrical Engineering and Information Technology Vol 22 No 1 (2024): 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.v22i1.116

Abstract

The electricity demand continues to increase every year in line with advancing technology and society's dependence on electricity supply. The society's reliance on electricity drives the improvement of power quality by PLN, one of which is the enhancement of voltage quality. At PT. PLN (Persero) Unit Layanan Pelanggan (ULP) Plered, there is a distribution feeder with an end voltage that is still below the standard. In this study, an analysis of the system related to the improvement of voltage drop on the GNAP distribution feeder was conducted with the assistance of ETAP simulation. The voltage drop improvement was carried out using the load splitting method, which involves redistributing a portion of the load to another feeder. The obtained results show that the voltage drop on the GNAP feeder decreased from the initial 1.19 kV to 0.84 kV during daytime load and from 1.24 kV to 0.90 kV during nighttime load. The voltage loss also experienced a decrease from the initial 5.95% to 4.18% during daytime load and from 6.20% to 4.51% during nighttime load.
Rancang Bangun Prototipe Monitoring Volume Cairan Infus dan Kapasitas Oksigen Medis dengan Warning System berbasis Internet of Things Somantri, Nivika Tiffany; Adji, Tatag Purnomo; Yuliana, Hajiar; Charisma, Atik; Winanti, Naftalin; Haz, Fauzia; Nurjaman, Dede Furqon
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 2 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n2.248-261

Abstract

Infus dan oksigen medis merupakan komponen vital dalam perawatan pasien di rumah sakit. Ketidakakuratan dalam pemantauan volume cairan infus dan kapasitas oksigen dapat mengakibatkan keterlambatan penanganan yang membahayakan keselamatan pasien. Penelitian ini bertujuan merancang prototipe sistem pemantauan volume cairan infus dan kapasitas oksigen medis berbasis Internet of Things (IoT) dengan warning system untuk meningkatkan efisiensi perawatan. Sistem ini menggunakan sensor load cell dengan modul HX711 sebagai sensor pendeteksi ketersediaan cairan infus pasien, NodeMCU ESP32 sebagai komponen kontrol yang terhubung dengan jaringan internet, sensor load cell dan Sensor HK1100C untuk membaca kapasitas tekanan oksigen medis pada tabung. Data hasil pengkuran sensor tersebut di sajikan pada web server hinger,io dan google spreadsheet serta dalam tampilan LCD. Hasil pengujian sistem setelah dilakukan perbandingan dengan alat ukur yang terkalibrasi serta pengujian fungsi internet of things didapatkan bahwa alat ini memiliki tingkat keakurasian pembacaaan sensor dengan error 0,37% untuk sensor loadcell dan error 3,72% untuk sensor tekanan oksigen. Prototipe ini diharapkan dapat menjadi solusi otomatis dalam meminimalkan risiko human error dan meningkatkan respons tenaga medis. Infusion and medical oxygen are vital components in patient care in hospitals. Inaccuracy in monitoring the volume of infusion fluids and oxygen capacity can result in delays in treatment that endanger patient safety. This study aims to design a prototype of an Internet of Things (IoT)-based monitoring system for infusion fluid volume and medical oxygen capacity with a warning system to improve care efficiency. This system uses a load cell sensor with the HX711 module as a sensor to detect the availability of patient infusion fluids, NodeMCU ESP32 as a control component connected to the internet network, a load cell sensor and an HK1100C sensor to read the capacity of medical oxygen pressure in the cylinder. The measurement data from the sensor is presented on the thinger.io and google spreadsheet web servers and on the LCD display. The results of system testing after comparison with calibrated measuring instruments and testing the internet of things function showed that this tool has a level of sensor reading accuracy with an error of 0.37% for the load cell sensor and an error of 3.72% for the oxygen pressure sensor. This prototype is expected to be an automatic solution in minimizing the risk of human error and increasing the response of medical personnel.
Performance Evaluation of Insulation in 10 kV Switchgear through Partial Discharge Analysis Dede Furqon Nurjaman; R. Aryo Bimo Surya Putra; Naftalin Winanti; Fauzia Haz; Handoko Rusiana I; Giri Angga Setia; Een Taryana; Ahmad Daelami
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 12 No 1 (2026): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v12n1.102-109

Abstract

Switchgear acts as the heart of the power distribution and transmission system, namely in the medium voltage system. If the switchgear insulation does not function properly, the risk of interference, equipment damage, and even accidents that endanger human safety can increase. One of the problems that often occurs in insulation is a phenomenon known as partial discharge (PD). PD is an electrical discharge that occurs in the insulating material and is often a sign of damage or defects. Although PD does not always immediately cause failure, if left unchecked, continuous PD activity can damage the insulating material and cause more serious damage. Partial Discharge testing uses a device called Ultra TEV plus 2. The TEV method focuses on measuring transient voltages caused by partial discharges on the surface of an insulator or within electrical equipment. Essentially, PD emits electrical signals that can be measured as voltage changes. Meanwhile, with the ultrasound method, ultrasonic sensors are installed near the electrical equipment being monitored. When PD occurs, the sensors capture the ultrasonic waves produced and convert them into signals that can be further analyzed. After measurements are taken using the TEV and Ultrasound methods, the results are compared with standard TEV values. It was found that a moderate level of internal PD is likely to occur at the measurement locations of the upper busbar and the CT compartment of Cubicle 10BBC08, as well as the R, S, T phase cables of Cubicle 10BBC09. A high level of internal PD is likely to occur at the measurement locations C2, C3, and C5 on the Bus duct of Cubicle 10BBC10.
Optimasi Kapasitas Baterai Pada Perancangan PLTS Off-Grid di Indonesia Naftalin Winanti; Een Taryana; Handoko Rusiana Iskandar; Fauzia Haz; Giri Angga Setia; Dede Furqon Nurjaman; Harry Butarbutar
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 12 No 1 (2026): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v12n1.110-117

Abstract

Potensi sumber energi matahari yang melimpah di Indonesia telah mendorong pertumbuhan pemanfaatan sistem Pembangkit Listrik Tenaga Surya (PLTS). Umumnya, sistem PLTS yang diterapkan masih menggunakan konfigurasi on-grid yang terhubung dengan jaringan PLN. Namun, pada wilayah tertentu yang memiliki keterbatasan akses atau keandalan jaringan listrik, penggunaan sistem PLTS off-grid menjadi solusi yang penting untuk menjamin kontinuitas suplai energi. Permasalahan utama dalam desain PLTS off-grid adalah tingginya biaya investasi, terutama akibat penggunaan asumsi hari otonomi tetap selama tiga hari tanpa matahari, yang menyebabkan kapasitas baterai dan daya PLTS  terpasang menjadi berlebihan. Untuk mengatasi permasalahan tersebut, penelitian ini melakukan simulasi optimasi menggunakan metode brute force search guna memperoleh konfigurasi daya terpasang modul surya dan kapasitas baterai yang paling optimal dengan tetap memenuhi kondisi zero blackout. Metode ini bekerja dengan mengevaluasi seluruh kombinasi parameter sistem berdasarkan profil beban dan kondisi radiasi matahari, sehingga menghasilkan desain yang adaptif terhadap kondisi nyata lokasi. Hasil simulasi menunjukkan bahwa konfigurasi optimal mampu menurunkan biaya investasi sistem secara signifikan, dengan penghematan berkisar antara 40–60% dibandingkan desain konvensional yang menggunakan asumsi tiga hari otonomi. Penelitian ini menunjukkan bahwa pendekatan optimasi berbasis brute force search efektif dalam meningkatkan efisiensi teknis dan ekonomi sistem PLTS off-grid.
Co-Authors Adji, Tatag Purnomo Ahmad Daelami Arya Mustopa Atik Charisma Charisma, Atik Dede Irawan Saputra Een Taryana Een Taryana Een Taryana Fauzia Haz Fauzia Haz Fauzia Haz Giri Angga Setia Giri Angga Setia Giri Angga Setia Hakim Achmad Rifan Handoko Rusiana I Handoko Rusiana Iskandar Handoko Rusiana Iskandar Harry Butarbutar Haz, Fauzia Ilham Agung Setiawan Irvan Budiawan M. Reza Hidayat Muhammad Reza Hidayat Nandhika Darwin Nivika Tiffany Nivika Tiffany Somantri R. Aryo Bimo Surya Putra Setya Rizqi Wahyu Hidayat Wibisana Nugraha Winanti, Naftalin Yuda Bakti Zainal Yuliana, Hajiar Yusuf Irwin Deriantono