Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Elekterika
Lukman, Musfirah Putri
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Network reconfiguration for improving performance system in ULP Sungguminasa considering nonlinear loads Faraby, Muhira Dzar; Rahman, Yuli Asmi; Sofyan, Sofyan; Thaha, Sarma; Lukman, Musfirah Putri; Amaliah, Asma; Mustika, Mustika; Sirad, Mochammad Apriyadi Hadi; Sonita, Anisya
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6066-6075

Abstract

Network reconfiguration is a very economical technique that can improve electrical system performance. The development of semiconductor electrical equipment technology to meet human needs and work, known as nonlinear loads, has had a negative impact in the form of the spread of harmonic distortion which can accelerate the aging process and even damage equipment. In this paper, the effect of the optimization results of network reconfiguration techniques on the Sungguminasa 165-bus Executive Unit Service or Unit Layanan Pelanggan (ULP) electrical system is contaminated with harmonic distortion due to the use of nonlinear loads. This technique was optimized using the particle swarm optimization (PSO) method with a multi objective function in the form of minimizing %THDv and total losses with several limitations. Simulation results from the optimization process of several study cases are shown by activating the five tie switches from the network reconfiguration process on the Sungguminasa 165-bus ULP system which is able to improve power quality by reducing the average %THDv by 3.89% and total losses by 8.19%.
Perancangan Alat Ukur Portable Datalogger Pembangkit Listrik Tenaga Surya A Noor, Nirwan; Sultan, Ahmad Rizal; Thaha, Sarma; Riyadi, Kazman; Lukman, Musfirah Putri
Jurnal Teknologi Elekterika Vol. 20 No. 1 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i1.4241

Abstract

Information about the output power of solar panels and the intensity of solar radiation is needed in the PLTS system to determine the characteristics of the potential power generated by the panels and estimate the amount of load attached. The purpose of this study was to design and manufacture a portable parameter measuring instrument and datalogger module on a microcontroller-based solar panel. Arduino Uno and ThingSpeak WebServer where with this measuring instrument solar panel parameters such as input parameters in the form of solar radiation, ambient (environment) temperature and output parameters in the form of voltage, current, latitude panel position will be measured, stored and displayed in graphical form in realtime. The system being built consists of three main parts: namely the sensor as input which will measure solar radiation data, temperature or temperature, current, voltage, latitude and longitude position of the Arduino Uno solar panel module which will acquire measurement data from sensors and the Labview application which will store and display data in realtime. The results of this study indicate that the measured current error is 1.68% and the lux error is 1.95%.
MEDIUM VOLTAGE INSULATOR CRACK DETECTION USING MOBILENetV2 AND TENSORFLOW Yani, Ahmad; Sofyan, Sofyan; Lukman, Musfirah Putri; Usman, Usman; Junaidi, Apri
Jurnal Teknologi Elekterika Vol. 22 No. 1 (2025)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v22i1.5420

Abstract

This study discusses the detection of medium voltage insulator cracks using object detection technology. This study uses medium voltage ceramic insulator image data at the ULP Daya Waste Material Warehouse. Ceramic insulator image data is categorized into good and damaged conditions. Preprocessing involves labeling, dividing train data, validation, and testing, and exporting data to Pascal VOC format. MobileNetV2 is implemented on Google Collab to train the object detection model. The evaluation of the model accuracy is in the COCO matrix, while the performance graph shows that the model can read objects well because the reading curve is in line with the smooth curve. Furthermore, this model is applied in creating an Android application that uses the device's camera to detect objects in real-time. This application processes images, converts from YUV to RGB, and performs object detection using the trained model. The detection results are displayed with bounding boxes and labels on the camera reviewer, namely the good class with a reading value of 1.0, the damaged class with a reading value of 0.67 and the background 1.0. This application also tracks detected objects and updates the display according to the detection results.
Co-Authors A Noor, Nirwan Ahamad Rizal Sultan ahmad yani Amaliah, Asma Apri Junaidi, Apri Muhira Dzar Faraby, Muhira Dzar Mustika Mustika Riyadi, Kazman Sirad, Mochammad Apriyadi Hadi Sofyan Sofyan sofyan sofyan Sonita, Anisya Thaha, Sarma Usman Usman Yuli Asmi Rahman