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All Journal Jurnal Teknik Elektro Jurnal Teknoin JIK Jurnal Ilmu Komputer Jurnal Pengembangan Pendidikan e-Jurnal Arus Elektro Indonesia INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) JASEE Journal of Application and Science on Electrical Engineering SinarFe7 Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Rekayasa elektrika
H.R.B. Moch. Gozali
Universitas Jember
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Analisa Proteksi Rele Arus Lebih pada Sistem Penyulang Menggunakan Algoritma Neural Network: Analysis of Overcurrent Release Protection In Feeder System Using Algorithm Neural Network Akladera Pawigo; R.B. Moch. Gozali; Samsul Bachri Masmachofari
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 1 No. 2 (2021): MALCOM October 2021
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1422.637 KB) | DOI: 10.57152/malcom.v1i2.112

Abstract

Setiap gangguan memiliki sifat gangguan yang berbeda-beda dimana ada gangguan yang bersifat sementara (kontemporer) dan ada yang bersifat lama (permanen), tidak terkecuali gangguan arus lebih dan apabila gangguan tersebut tidak diatasi akan merusak sistem jaringan distribusi. Oleh karena itu, diperlukan suatu sistem keamanan yang tepat sesuai dengan jenis gangguan dan sesuai dengan fungsi kedudukan agar dapat mengatasi gangguan yang terjadi dengan baik, efisien, dan handal. Metode yang digunakan dalam penelitian ini adalah penggunaan metode neural network. Rele arus lebih adalah rele proteksi yang prinsip kerjanya didasarkan pada besaran arus masukan dan sangat cocok untuk proteksi terhadap gangguan arus lebih. Rele arus lebih akan bekerja bila terjadi kenaikan arus yang melebihi nilai pengaman tertentu dan dalam jangka waktu tertentu. Jaringan saraf tiruan atau artificial neural network (ANN) adalah jaringan yang terdiri dari sekelompok unit pemrosesan kecil yang disajikan berdasarkan jaringan saraf pada manusia. Seperti halnya jaringan syaraf biologis, jaringan syaraf tiruan memiliki kemampuan untuk belajar dan beradaptasi dengan masukan yang diberikan.
Analisis Efisiensi Kinerja Motor BLDC Menggunakan Metode Kontrol Sliding Mode Observer PI Adi Mulyadi; Muhammad Zainal Rois; Bambang Sri Kaloko; Riska Fita Lestari; R. B. Moch. Gozali; Suprihadi Prasetyono
Jurnal Arus Elektro Indonesia Vol 8 No 3 (2022)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v8i3.34998

Abstract

Brushless DC (BLDC) motors are widely used and applied in industry but it is difficult to control BLDC motors. Basically, a Brusless DC (BLDC) motor or also known as a permanent magnet synchronous motor (PMSM) uses a hall sensor to determine the position and speed of the motor. The data on the value of the BLDC rotor speed (rpm) in the basic modeling of the BLDC motor as input from the sliding mode observer (SMO) method which is set in the BLDC rotor speed (rpm) set point. A sensorless method based on SMO is proposed to replace the hall-sensor device for estimating the rotor position and speed of BLDC motors. This study compares the value between the rotor speed (rpm) of BLDC without control and the rotor speed (rpm) of BLDC with control. PI control is one that determines the rotor speed efficiency of the BLDC. The most optimal value of Rotor Rotation Efficiency (rpm) using PI Control is at the rotor rotation speed of 2000 rpm and 2500 rpm or 100%. The value of Rotor Rotation efficiency (rpm) is greater, namely 100% or 2000 rpm from the 2000 rpm rotation speed set point for BLDC motor modeling using PI control when compared to BLDC motor modeling without PI control, namely 91.65% or 1833 rmp value from set point rotation speed 2500 rpm.
Perancangan Konverter Boost Kuadratik Pada Solar Panel Menggunakan Kontrol PID Anugrah Prasetyo Sutrisno; RB. Moch. Gozali; Widjonarko
SinarFe7 Vol. 5 No. 1 (2022): SinarFe7-5 2022
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.285 KB)

Abstract

Using solar energy as a source of electricity has great potential. A boost converter is needed to overcome the low energy conversion efficiency of solar panels. Many boost converters have been used to achieve high efficiency, one of which is the quadratic boost converter. This study aims to increase the efficiency of solar panel output at low inputs. An overall study of the system with a lamp load of 2 volts from 09.00 WIB to 15.00 WIB showed that the highest efficiency was achieved at 10.15 am at 99% with an average efficiency of 80%. At the same time, the output voltage is 24.64 volts. From the voltage and current obtained simultaneously, the input power is 2.99 watts and the output power is 2.97 watts. From the tests I did, it appears that the quadratic boost converter can provide a fairly high output voltage. Low-duty cycles have been shown to produce higher output voltages than traditional boost converters.
Desain Perancangan kwh meter Digital Berbasis Sistem SCADA pada Pelanggan Tegangan Menengah 20 KV di PT PLN (Persero) APJ Jember H.R.B. Moch. Gozali
Jurnal Rekayasa Elektrika Vol 9, No 3 (2011)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1155.927 KB) | DOI: 10.17529/jre.v9i3.160

Abstract

SCADA is a very powerful new technology to be applied as a tele-metering. Planning of Digital KWH Meter based on SCADA at 20 kV medium voltage customer isselected in the PLN APJ Jember, where KWH Meters arewidely used today is the Landis Gyr ZMC405C type. But it is less reliable devices along with the development of technology today. KWH Meter ZMD405CT offers more features for modern, effective and efficient to be used by PLN in the future. Design of SCADA in ZMD405CT not use a lot of cable, so they are efficient in terms of cost. Meanwhile, software for data acquisition must be balanced with the KWH meter to be used, for electrical energy measurement accuracy on the customer side can be assured.
Proyeksi Kebutuhan Energi Listrik dengan Metode Regresi Linear Berganda di UP3 Mojokerto Tahun 2022 sampai 2027 Mirelle Ferent Hasnitha; RB. Moch. Gozali; Suprihadi Prasetyono
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.427

Abstract

Demand for the availability of electrical energy in the future requires good planning and forecasting. Based on data from BPS (Badan Pusat Statik) East Java, the population and the number of electricity customers in East Java province has increased every year. So a forecasting can be done to find out the estimated demand for electrical energy needs in the future. In this study using multiple regression analysis method to project electricity demand in UP3 Mojokerto from 2022 to 2027. The results of the 2022 projection will be compared with the actual data in 2022 for data validation with the calculation of MAPE (Mean Absolute Percent Error). The resulting MAPE value is less than 10%, which means that this multiple linear regression method is a very good method used to project electrical energy demand at UP3 Mojokerto in 2022-2027. That way, the results of projected electrical energy demand with multiple linear regression methods in UP3 Mojokerto in 2022 amounted to 4,937,341 MWh, and in 2023 to 2027 the projected electrical energy demand increased successively by 5,323,722 MWh, 5,721,631 MWh, 6,131,543 MWh, 6,553,951 MWh, and 6,989,371 MWh. With an average growth from 2022 to 2027 of 6.30%.
Co-Authors Adi Mulyadi Akladera Pawigo Anugrah Prasetyo Sutrisno Bambang Sri Kaloko Dedy Kurnia Setiawan Dimas Oktasya Eka Kumala Putra Gustio Riki Kartiko Anggara hafis alif bhardani Hapzi Ali Mirelle Ferent Hasnitha Muhammad Andre Budi Leksono Muhammad Farhan Muhammad Zainal Roisul Amin Riska Fita Lestari Samsul Bachri Samsul Bachri Masmachofari Suprihadi Prasetyono Triwahju Hardianto Wahyu Muldayani Widjonarko