Article Per Year (5 Year)
p-Index From 2021 - 2026
0.702
P-Index
This Author published in this journals
All Journal Media Elektrik Jurnal Pendidikan dan Profesi Keguruan Energy Insights
Muhammad Iswal Burhan
Universitas Negeri Makassar, Indonesia
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mathematics Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
The Influence of Project-Based Learning on Grade XI Students Achievement in Electrical Installation at SMK Negeri 5 Makassar Hilda Ashari; Muhammad Iswal Burhan; Muh Arjund Arnold
Jurnal Pendidikan dan Profesi Keguruan Vol. 5 No. 1 (2025): Jurnal Pendidikan dan Profesi Keguruan
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/progresif.v5i1.9781

Abstract

​This study examines the influence of the Project-Based Learning (PjBL) model on students’ learning achievement in an Electrical Lighting Installation subject at SMK Negeri 5 Makassar. The urgency of this research arises from the persistent gap between theoretical understanding and practical application in vocational education, where teacher-centered instruction often limits engagement and problem-solving skills. Using a quasi-experimental design with a non-equivalent control group, the 33 Grade XI students were divided into an experimental class (n=16) and a control class (n=17). Data were collected through pre-tests, post-tests, and questionnaires and analyzed using a t-test with SPSS 26. The results showed that the average post-test score in the experimental group increased from 30.19 to 83.69, while that in the control group improved from 25.18 to 69.24, with a significance value of 0.001 (<0.05), indicating that PjBL had a significant positive effect on learning outcomes. Students also responded positively to PjBL implementation (average 86%), indicating increased motivation and collaboration. These findings confirm that PjBL effectively enhanced cognitive understanding and learning engagement in vocational education. However, this study was limited by its small sample size, short intervention period, and focus on cognitive aspects only. Future studies should adopt larger samples, extended durations, and mixed-method approaches to assess the long-term impacts on psychomotor and affective competencies.​
DEVELOPMENT OF A POWER QUALITY MONITORING SYSTEM FOR THREE-PHASE INDUCTION MOTORS USING LABVIEW Akhyar Muchtar; Dessy Ana Laila Sari; Hilda Ashari; Muhammad Iswal Burhan; Andi Fitriati; Nur Azhari Iriawan
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.8803

Abstract

Three-phase induction motors are widely used in industrial applications. The performance of these motors heavily depends on the stability of electrical parameters such as voltage, current, frequency, and power factor. Imbalances or fluctuations in these parameters can significantly affect the motor’s operational lifespan and may even lead to equipment failure. Therefore, periodic monitoring of these parameters is essential. This study aims to design and develop an electrical power monitoring system for a three-phase induction motor using LabVIEW, integrated with the Modbus RTU protocol and a power meter. Methode of this research is an experimental method. The result of this research is that the current will fluctuate along with the increase in motor load. When unloaded, the current was measured at 0 A. Upon applying one load, the R/S/T phase currents increased to 0.1107 A, 0.1173 A, and 0.1107 A, respectively. With two loads, the currents rose to 0.1357 A, 0.1424 A, and 0.1317 A. When the load increased to three, the R/S/T phase currents further increased to 0.1581 A, 0.1654 A, and 0.1526 A, respectively. Voltage and frequency were observed to remain stable at approximately 238 V and 50 Hz. Inter-phase voltage also remained relatively stable, ranging from 408 V to 413 V. This study is practically aimed at providing an accurate, validated, and real-time monitoring system for three-phase induction motors, which is highly relevant for predictive maintenance in industrial environments. Compared to previous works that relied on low-cost sensors or microcontroller-based monitoring, this research emphasizes higher measurement accuracy, validated results, and seamless integration with industrial communication protocols. In summary, the developed system successfully demonstrated its ability to monitor electrical parameters of three-phase induction motors in real-time with high accuracy, validated measurement results, and stable performance across different load conditions. Its practical contribution lies in offering an industrially applicable monitoring solution that supports predictive maintenance, reduces downtime, and extends motor lifespan. The main scientific contribution of this work is the integration of LabVIEW and Modbus RTU with a validated measurement scheme, overcoming the accuracy and reliability limitations of previous studies.
Development of Sentence Similarity Detection Application with Semantic Similarity and Machine Learning Approaches (Case Study: Student Thesis Title) Edi Suhardi rahman; Muhammad Iswal Burhan; Riana T Mangesa
Jurnal Media Elektrik Vol. 23 No. 1 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i1.10503

Abstract

This study aims to develop an intelligent application for detecting the semantic similarity of undergraduate thesis titles using Natural Language Processing and machine learning techniques. The need for this system arises from the growing number of thesis title submissions in Indonesian universities, which increases the risk of duplication and challenges the effectiveness of manual novelty-verification processes. The development follows a Research and Development (R&D) approach consisting of needs analysis, NLP model development, implementation, and evaluation. A dataset of 114 thesis titles was collected from official academic archives, with 87 titles remaining after data cleaning for the model benchmarking. The Sentence-BERT (IndoSBERT) model is used as the core of the semantic similarity engine, achieving an accuracy of 93% and an F1-score of 0.90, outperforming traditional approaches such as TF-IDF and LSA. System evaluation was conducted based on ISO/IEC 25010, showing strong performance in functional suitability, time behavior (average response time 1.82 s), reliability (100% uptime/24 h), and usability evaluated by 25 respondents using the SUS instrument (score = 80, excellent). The results indicate that the proposed system can significantly assist study programs in identifying potential topic duplications and strengthening academic governance. However, the limited dataset size and single-domain scope (engineering and informatics education) restrict the model’s generalizability. Future development may include larger multi-domain datasets and broader novelty evaluation coverage, such as proposals and abstracts. This study contributes to practical automation support and technological innovation for academic quality assurance.
The Effect of Load Variations on The Performance Efficiency of Gas Turbines at PLTG UPDK Tello Makassar Nur Kasmiranti; Syahrul Syahrul; Massikki Massikki; Muhammad Iswal Burhan
Energy Insights Vol. 1 No. 1 (2025): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i1.9452

Abstract

The demand for the changing electricity system so that power plants also experience load changes. As is known, PLTG Tello Makassar is the last priority to operate under certain conditions. Therefore, the purpose of this study is to prove the occurrence of load changes and find out the causes of efficiency that experience data changes in each load operated on the turbine. In this study, a type of quantitative descriptive research was used using the Brayton cycle calculation method on the formula of gas turbine efficiency equations. After conducting research, data was obtained that the Tello Makassar GE Unit 2 PLTG operates with loads that vary from 8 MW to 28 MW. The average turbine efficiency of each load variation is 8 MW with an average turbine efficiency of 54.34%, 10 MW with an average turbine efficiency of 38.87%, 15 MW with an average turbine efficiency of 56.13%, 16 MW with an average turbine efficiency of 41.78%, 17 MW with an average turbine efficiency of 65.61%, 18 MW with an average turbine efficiency of 25.73%, 20 MW with an average turbine efficiency of 51.86%, and 28 MW with an average turbine efficiency of 56.75%. The difference in average efficiency is affected by fluctuations in electricity demand that fluctuate every hour. The efficiency of gas turbines also varies even at the same load due to different environmental and operational temperature factors and pressures at any time. From the results of the study, overall turbine efficiency data was obtained where the lowest efficiency of 13.95% was at a load of 15 MW at 17.00 WITA, while the highest turbine efficiency of 88.27% was at a load of 8 MW at 14.00 WITA.
Co-Authors Akhyar Muchtar Andi Fitriati Dessy Ana Laila Sari Edi Suhardi Rahman Hilda Ashari Massikki Massikki Muh Arjund Arnold Nur Azhari Iriawan Nur Kasmiranti Riana T Mangesa Syahrul Syahrul