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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) PROtek : Jurnal Ilmiah Teknik Elektro Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Pengabdian UNDIKMA Journal of Applied Data Sciences Mechanical Engineering for Society and Industry
Gunadin, Indar Chaerah
Departemen Teknik Elektro, Fakultas Teknik, Universitas Hasanuddin
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Modeling and Control of a Based Extreme Learning Machine as Distributed Setpoint for the HEPP Cascade System in a Nickel Processing Plant Sarira, Yayan Iscahyadi; Syafaruddin, Syafaruddin; Gunadin, Indar Chaerah; Utamidewi, Dianti
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.211

Abstract

The aim of this research is to model the cascade system of hydropower plants in order to predict the set point power value of each generator. The model simulates several input data variables to obtain an accurate prediction of the set point value. Various historical data are used in this study to evaluate the relationship between input and output variables. This paper presents an Extreme Learning Machine (ELM) method for modeling system models and generating set point values for each generator in a hydroelectric power plant (HEPP) cascade system in a nickel processing plant (NPP). The issue of coordination time between the production and utility departments is addressed. The research aims to use the ELM method to auto-generate setpoint values.  The MATLAB application serves as a simulator for generating the expected Extreme Learning Machine (ELM) model.  As a result, this allows for automatic changes to the set point of each generator in the cascade system. The ELM method yields a MAPE value of 13.94%, indicating accurate predictions.
Robust SVM optimization using PSO and ACO for accurate lithium-ion battery health monitoring Putra, Mufti Reza Aulia; Nizam, Muhammad; Mujianto, Agus; Adriyanto, Feri; Santoso, Henry Probo; Afandi, Arif Nur; Gunadin, Indar Chaerah
Mechanical Engineering for Society and Industry Vol 5 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12280

Abstract

The increasing demand for reliable lithium-ion battery in various applications is focused on the need for accurate State of Health (SOH) predictions to prevent performance degradation and potential safety risks. Therefore, this research aimed to improve the accuracy of SOH prediction by integrating Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) with Support Vector Machine (SVM) to overcome the overfitting problem in traditional machine learning models. The dataset used consisted of data from 1000 cycles of lithium-ion battery, collected under laboratory conditions. Data from lithium-ion battery cycles were analyzed using optimized PSO-SVM and ACO-SVM models. These models were evaluated using Mean Square Error (MSE) and Root Mean Square Error (RMSE) metrics, showing significant improvements in prediction accuracy and model generalization. The results showed that although both optimized models were superior to the baseline SVM, PSO-SVM had higher generalization performance during testing. The higher performance was due to the effective balance between exploring the search space and exploiting optimal solutions, making it more suitable for real-world applications. In comparison, ACO-SVM showed superior performance in training data accuracy but was more prone to overfitting, suggesting the potential for scenarios prioritizing high training accuracy. These results could be applied to extend the lifespan of lithium-ion battery, contributing to enhanced reliability and cost-effectiveness in applications.
Perancangan Sistem Online Monitoring Pembebanan Transformator Distribusi Menggunakan Mikrokontroller Gunadin, Indar Chaerah; Herianto, Herianto; Bahtiar, Zity Aida; Hizbullah, Muhammad Al Izza
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 1 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i1.2414

Abstract

Electric energy is basically one of the main needs used in various activities in the community. In the distribution of electricity energy is required a reliable system so that the continuity of electricity energy that reaches consumers can be guaranteed well. One of the systems that needs to be maintained is the system related to distribution in addition to transmission and power generation systems. Reliability and quality of power must be maintained properly. Transformer damage is usually affected by overload which can harm the transformer itself as well as transformer insulation. A hot transformer can cause a short circuit that can cause the transformer to explode, so that the damage to the transformer can shorten the life of use both in terms of tools and oil.  Electricity monitoring system has been widely implemented with the installation of electric measuring instruments on the transformer panel before entering the load.  This research aims to build a prototype transformer monitoring module in real time based on the Internet of Things. This research is in line with Unhas research plan related to innovations in the field of Energy and the development of smart grid systems that can optimize the utilization of various new and renewable sources that vary, while being able to control the efficient use patterns of electricity energy on the downstream side through the protocol of informatics technology systems that have advanced today
Perakitan Sistem WECG IoT dan Diseminasi Unjuk Kinerja untuk Memperkuat Sistem Layanan Kesehatan Puskesmas Kitta, Ikhlas; Palantei, Elyas; Suyuti, Ansar; Manjang, Salama; Samman, Faizal Arya; Nappu, Muhammad Bahtiar; Arief, Ardiaty; Said, Sri Mawar; ., Gassing; Gunadin, Indar Chaerah; ., Hasniaty; Adil, Andi Eri Andika; Palantei, Idris
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 8 No 1 (2025): Community Empowerment through Higher Education Community Service Programs
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v8i1.555

Abstract

This community service program is focused on a number of issues such as the implementation of the wireless ECG device design and the dissemination and demonstration of its technical operations in a such manner to all participants, e.g. the activists and supporters of the sub-village community healthcare center (PUSTU) located in Malimongeng Village, Salomekko District, Bone Regency. Several models of the latest WECG devices and the latest innovations have been developed and produced independently on the UNHAS campus, both hardware and software components. This Electrocardiogram (ECG) functions to monitor the condition of heart health and blood pressure in each patient who has been fitted with an ECG device. Each wireless ECG device is connected by an internet network and integrated at once in 1 Website that displays ECG signal graphics so that it can be monitored and controlled in real time from a distance. The application of ECG is very necessary for nurses or medical teams in a health institution to facilitate the control of the condition of patients in the room without having to walk back and forth to check the condition of patients being treated. The implementation of this community service is divided into 2 stages, namely the dissemination stage of basic knowledge of ECG technology and the technical training stage for operating ECG devices to support the patient condition control system at the health center. The results of recording the level of knowledge and understanding of the Malimongeng Village community who participated in community service activities carried out by a team of researchers and inventors from the Department of Electrical Engineering, Faculty of Engineering, Hasanuddin University were documented using the Googleform questionnaire application which had been designed earlier before the implementation of the activity in such a way as to measure the level of success of the implementation of the 2024 PKM program. The questionnaire survey was distributed and filled out by PKM participants online, both before and after the provision of material. After the implementation of the dissemination agenda and demonstration of the operation of the IoT WECG technology device, there was an increase in the knowledge and general understanding of the Malimongeng Village community who participated in the LBE Excellent Collaboration community service program in 2024 in both aspects of the category, namely general knowledge of health science and technical matters related to the development and production of IoT WECG devices along with their direct application in the midst of community life. The influence of participation in the series of PKM activities on both aspects of the target of counseling/socialization resulted in an increase in the capacity of knowledge in the community, namely around 30 percent and 25 percent respectively. Aspects of Technology Benefits and Activities, Based on the recommendations and input of all PKM activity participants, the following issues are highly expected by the Malimongeng Village community, including: aspects of the quality and diversity of cutting-edge science should be formulated to be more interesting and increase the insight of the village community, aspects of the availability of more sophisticated health devices should and should be equipped as soon as possible with more sophisticated and modern health infrastructure and facilities in the village and aspects of sustainability of research and development and production to overcome the problem of the availability of health facilities in the village and nationally.
Pelatihan MIT App Inventor sebagai Upaya Meningkatkan Kemampuan Berpikir Logis Siswa SMAN 4 Parepare Maharani, Putri Ayu; Gunadin, Indar Chaerah; Intizhami, Naili Suri; Nuranti, Eka Qadri; Rafrin, Mardhiyyah; Agus, Muh.; Iskandar, M. Fauzan; Yunus, Sitti Rahma; Al-Fauzi S., Muhammad Faruq; Tunru, Muh. Abubakar
Jurnal Pengabdian UNDIKMA Vol. 5 No. 1 (2024): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i1.9786

Abstract

This community service activity aims to improve the logical thinking abilities of SMAN 4 Parepare students by teaching the application of mathematical logic in compiling computer instructions based on MIT App Inventor. The method for implementing this service was problem-based learning training by taking the example of the traditional game of rock-paper-scissors as a learning case. Next, create a rock-paper-scissors game program using MIT App Inventor as a student learning experience in applying mathematical logic concepts. The evaluation instrument employed was a questionnaire to collect pre-test and post-test results, which were then analyzed using descriptive statistics and paired sample t-tests. The results of this service showed an increase in the average participant score on the post-test results, where the average pre-test score was 7.24 out of 15, while the average post-test score was 9.17 out of 15.
Socialization of IoT Technology Utilization in Monitoring and Analysis of Electricity Usage among Students at SMKN 10 Makassar Mayasari, Fitriyanti; Muslimin, Zaenab; Ahmad, Andani; Areni, Intan Sari; ., Dewiani; Gunadin, Indar Chaerah; Salam, A. Ejah Umraeni; ., Wardi; Anshar, Muh.; Achmad, Andini Dani
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 8 No 2 (2025): Collaboration for Accelerated Community Achievement
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v8i2.638

Abstract

The Community Service Program (PkM) conducted by the Department of Electrical Engineering aims to enhance the literacy and skills of students at SMKN 10 Makassar in understanding the concept of energy monitoring and the application of Internet of Things (IoT) technology as an innovative solution for energy management systems. The main problem identified in the school is the low awareness and understanding of energy efficiency, as well as the lack of monitoring tools capable of displaying real-time energy consumption data. Through socialization and training activities based on microcontroller technology, students were introduced to the working principles of current and voltage sensors, data transmission via the internet, and digital visualization of electrical energy consumption through IoT-based platforms. The activity evaluation was carried out using pre-test and post-test methods involving 25 students from the Electrical Engineering Department to measure comprehension improvement. The results showed a significant increase in two main aspects: understanding of the basic concepts of energy monitoring, which rose from 60% to 96%, and understanding of the integration of IoT in energy monitoring systems, which increased from 20% to 88%. These findings demonstrate that implementing IoT-based learning not only broadens students’ insights into energy efficiency but also strengthens their vocational competencies in electrical engineering through the application of intelligent technologies relevant to the needs of modern industry.
Performance placement of BESS in the Sulawesi-Southern interconnected power system Muslimin, Zaenab; Gunadin, Indar Chaerah; Mayasari, Fitriyanti; Faraby, Muhira Dzar; Amaliah, Asma; Isminarti, Isminarti
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2819-2830

Abstract

Frequency regulation and active power loss management are crucial aspects of power system operations. Battery energy storage systems (BESS) have emerged as an innovative solution to enhance grid performance, especially in addressing frequency fluctuations and reducing power losses. This study explores the role of BESS in optimizing frequency regulation and managing active power losses in the power system through several BESS integration scenarios. In this study, a BESS with a capacity of 8.437 MW was used and analyzed using symmetric steady-state simulations in DigSILENT PowerFactory software. The simulations aim to test the effectiveness of BESS in frequency regulation and minimizing active power losses in the Sulbagsel system. The analysis results show that implementing BESS can respond effectively to both over-frequency and under-frequency conditions in the Sulbagsel system. In the discharge scenario, BESS can reduce the system's average frequency by 0.02 Hz and decrease active power losses by up to 1.09 MW. Conversely, in the charge scenario, active power losses increase by 1.22 MW when the BESS is installed on Bus Tonasa. This study provides valuable insights for developing BESS-based frequency regulation strategies that contribute to the stability and efficiency of the power system.
Co-Authors ., Dewiani ., Wardi ., Yusran A. Ejah Umraeni Salam A.N. Afandi Adi Soeprijanto Adil, Andi Eri Andika Adriyanto, Feri Agus Bambang Siswanto Agus, Muh. Ahmad, Andani Akil, Yusri Syam Al-Fauzi S., Muhammad Faruq Amaliah, Asma Andani Ahmad Andi Nurtrimarini Karim Andini Dani Achmad Andini Dani Achmad, Andini Dani Ansar Suyuti Anshar, Muh Anwarriska Apriana Ardiaty Arief Areni, Intan Sari Arief, Ardiaty Azran Budi Arief Bahtiar, Zity Aida Dewiani Dewiani Eka Qadri Nuranti Faizal Arya Samman Fitriyanti Mayasari Gassing . Hasniaty Hasniaty A Herianto Herianto Herianto Herianto Hizbullah, Muhammad Al Izza Ida Rachmaniar Sahali Ida Rahmaniar Sahali Ikhlas Kitta Ikhlas Kitta Intan Sari Areni Iskandar, M. Fauzan Isminarti, Isminarti M. Fauzan Iskandar Maharani, Putri Ayu Mardhiyyah Rafrin Muh. Abubakar Tunru Muh. Agus Muh. Anshar Muhammad Abdillah Muhammad Al Izza Hizbullah Muhammad Faruq Al-Fauzi S. Muhammad Jibral Agung Muhammad Nizam Muhira Dzar Faraby, Muhira Dzar Mujianto, Agus Naili Suri Intizhami Nappu, Muhammad Bachtiar Nappu, Muhammad Bahtiar NUR FADLIAH BASO Ontoseno Penangsang Palantei, Elyas Palantei, Idris Putra, Mufti Reza Aulia Putri Ayu Maharani Rafrin, Mardhiyyah Salama Manjang Santoso, Henry Probo Sarira, Yayan Iscahyadi Sitti Rahma Yunus Sri Mawar Said Sri Mawar Said Sri Mawar Said Syafaruddin - Syafaruddin Syafaruddin Tajuddin Waris Tunru, Muh. Abubakar Utamidewi, Dianti Yunus, Sitti Rahma Yusran Yusran Yusran Yusran Yusri Syam Akil Yustinus Upa Sombolayuk Zaenab Muslimin Zaenab Muslimin Zaenab Zaenab Zity Aida Bahtiar