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Energy Insights
Published by Universitas Negeri Makassar
ISSN : -     EISSN : 31099637     DOI : https://doi.org/10.59562/ei
Core Subject : Science, Engineering,
Electrical & Electronics Engineering Energy
Energy Insights is an international journal dedicated to providing valuable insights into various aspects of energy systems, technologies, policies, and innovations. This journal covers the scientific fields of Renewable Energy, Energy Efficiency and Conservation, Energy Systems and Power Generation, Energy Policy and Management, Energy Transition and Sustainability, Emerging Energy Technologies, Environmental and Social Impact of Energy, Internet of Things (IoT) in Energy Systems.
Arjuna Subject : Energi (semua kategori) - Energi Terbarukan, Keberlanjutan dan Lingkungan
Articles 10 Documents
 1 
Study of The Effect of Heating During Fabrication On The Insulation Resistance of The 75 Mw Generator Stator at the Malea Energy Stage-2 BMS PLTA Aldy Rompon; Iwan Suhardi
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.v1i1.8037

Abstract

This study aims to assess the impact of heating during fabrication on the insulation resistance of the 75 MW generator stator at the Malea Energy Stage-2 BMS hydroelectric power plant. Using a quantitative descriptive method and documentation for data collection, researchers analyzed secondary data archived by staff at the plant. The results showed a significant increase in insulation resistance from 6,930 MΩ at 39°C to 16,300 MΩ at 80°C. The Arrhenius equation revealed an activation energy of 19,083.41 J/mol, indicating good thermal resistance. A linear regression analysis showed a strong positive relationship between temperature and insulation resistance, with a correlation coefficient (R) of 0.9915 and an R^2 value of 0.9831. The heating process met the Toshiba SF80.35-12/5200 standard and the National Standard of the People’s Republic of China, proving effective in reducing humidity, accelerating resin hardening, and improving insulation durability.
Efficiency and Generator Loading Analysis in GT 22 Blok 2 Gas and Steam Power Plant PT. PLN NP Alif Seputra M
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.v1i1.8062

Abstract

Sengkang PLTGU is operated by PT. PLN NP has a total capacity of 315 MW. An important component in the PLTGU system is the generator. A generator has many problems that arise, including generator efficiency problems. The research determines the generator efficiency value and then determines the loading by which the generator efficiency value increases. To find the efficiency value by making daily and monthly load curves using generator output power, generator input power, generator nameplate and generator power losses at 50%, 80% and 100% loading. This research took samples that lasted for 9 days of generator efficiency at each load and compared the calculation results with the actual generator. It was found that the difference between 50% loading experienced a decrease in efficiency of 1.3473%, 80% loading experienced an increase of 1.96%, 100% loading experienced an increase of 1.09%. During the research the generator experienced reverse power so that the generator efficiency decreased. The average efficiency for 9 days was 97.2342%, with an average load of 25.2809 MW and an average input power of 26.1207 MW. In the manual book for Block 2 PLTGU PT. PLN NP generator efficiency value is divided by design into 3 loadings. Loading 50% efficiency is 95.7925%, loading 80% efficiency is 97.3377%, loading 100% efficiency is 97.9328%. So that the optimum generator efficiency is obtained at a load of 40.5544 MW (100% loading) with a value of 97.9328%.
Design of a Telemetry System for Monitoring Miniature Steam Power Plants Ilham Pradina; Usman Nursusanto
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.v1i1.8427

Abstract

This final project aims to design and develop an Internet of Things (IoT)-based monitoring system for a miniature Steam Power Plant (PLTU) capable of monitoring key parameters such as voltage, current, power, pressure, and temperature in real time. The main objectives of this project are: (1) to design an IoT-based miniature PLTU monitoring system; (2) to determine the functional test results of the monitoring system; and (3) to evaluate the system’s performance in monitoring electrical and thermal parameters. The development stages include needs identification, system design, device fabrication, testing, and result evaluation. Testing was conducted at the Repair Laboratory, Department of Electrical and Electronics Engineering. Functional test results show that all telemetry system components worked properly. The pressure sensor recorded up to 5.6 bar with fast response, while the RTD PT100 temperature sensor measured up to 124°C with an error of <0.06%. The PZEM-017 sensor measured voltage with a deviation of ±0.13 V, current ±0.02 A, and power ±0.2 W. The system reliably monitored parameters during 30 minutes of heating. The DC generator produced up to 16.7 V and 2.6 W of power. The system proved to be responsive, accurate, and effective as an educational tool for energy conversion and IoT-based monitoring.
Electrical Energy Audit at The Syekh Yusuf Regional Hospital Gowa Regency Nur Fadilah Iswan; Zulhajji Zulhajji; Haripuddin Haripuddin
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.v1i1.9450

Abstract

This study aims to determine: (1) the amount of electricity consumption in the laboratory building, radiology building, and blood transfusion unit building. (2) the results of energy audits in the laboratory building, radiology building, and blood transfusion unit building at the Syekh Yusuf Regional General Hospital, Gowa Regency and to analyze energy saving opportunities that can be applied to the building. This study uses a quantitative descriptive method. The data collection techniques used are documentation, observation and measurement. In this study, the researcher analyzed the data descriptively and provided a general description of the electricity Energy Consumption Intensity (IKE) using statistical analysis techniques. The results of this study indicate (1) the large consumption of electrical energy in the 197,000 VA laboratory building with an average IKE value in the building of 55.325 kWh/m2, the 41,500 VA radiology building with an average IKE value in the building of 50.3187 kWh/m2, and in the 23,000VA blood transfusion unit building with an average IKE value in the building of 176.02 kWh/m2. (2) As well as knowing the results of the energy audit in the laboratory building, the load that uses the most electrical energy is 1 PK AC 3,097.6 kWh, in the radiology building which uses the largest electrical energy is 1,536 kWh, and in the blood transfusion unit building which uses the largest electrical energy is 176.64 kWh. Based on the analysis of electrical energy opportunities at the Syekh Yusuf Regional General Hospital, Gowa Regency, three saving efforts were obtained, namely no-cost, low-cost, and high-cost opportunities.
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.
Simulation-Based Analysis of Packet Scheduling Strategies and Traffic Load Effects on Network QoS Andicho Haryus Wirasapta; Tiara Deta Pamungkas; Salmuna Sajjad Mishi
Energy Insights Vol. 1 No. 2 (2026): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i2.11311

Abstract

This study addresses a significant gap in quality of service (QoS) simulation research by evaluating the impact of packet scheduling mechanisms on network performance under varying traffic loads and link capacities. Using MATLAB simulations, we introduce a novel framework to assess the performance of FIFO, Priority Scheduling, and Weighted Round Robin (WRR) mechanisms in a network supporting voice, video, and data traffic. The results highlight that WRR provides the most balanced performance, achieving lower delay (59 ms), reduced jitter (11 ms), higher throughput (4.18 Mbps), and lower packet loss (3.2%) compared to FIFO and priority scheduling. This study fills a critical gap by offering new insights into QoS performance across heterogeneous network environments, with practical implications for optimizing network performance. Furthermore, the findings contribute to theoretical research by demonstrating the need for adaptive scheduling strategies in real-time communication networks, especially under high-traffic conditions.
Energy Consumption and Economic Growth in South Africa: Evidence from Provincial Panel Data Naledi Ramabu; Kabelo Sithole
Energy Insights Vol. 1 No. 2 (2026): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i2.11447

Abstract

Objective: This study investigates the relationship between electricity consumption and regional economic growth across South African provinces, addressing limitations of prior research that primarily utilized national-level time-series data. The research aims to provide empirical evidence on how energy use and key macroeconomic factors influence provincial economic performance. Methods: A quantitative panel data approach was employed, utilizing annual secondary data from South African provinces. Economic growth was modeled as a function of electricity consumption, population, domestic investment, and government expenditure. Model selection was conducted using Chow and Hausman tests, resulting in the application of a fixed-effect regression model with robust standard errors to mitigate the effects of heteroskedasticity. Results: The findings reveal that electricity consumption has a positive and statistically significant impact on regional economic growth. Domestic investment and government expenditure also significantly promote economic expansion, with public spending emerging as the most dominant driver. Conversely, population growth does not exhibit a significant effect. The model demonstrates strong explanatory power, accounting for approximately 89.3% of the variation in economic growth. Novelty: This study contributes novel provincial-level empirical evidence on the energy-growth nexus in South Africa, utilizing a robust panel econometric framework. By integrating energy consumption with fiscal and investment factors, it offers a more comprehensive understanding of regional growth dynamics and provides policy-relevant insights for sustainable energy and economic development.
The Effect of Height and Water Discharge on the Output of Electrical Energy Generated at the Sawitto Micro-Hydro Power Plant (PLTM) in Pinrang Regency Syamril Syamril; Muhammad Yusuf Mappeasse; Hermansyah Hermansyah
Energy Insights Vol. 1 No. 2 (2026): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i2.11470

Abstract

Objective:
This study aims to analyze the relationship between water discharge and water level and their influence on electrical output performance in a Micro Hydro Power Plant (PLTM) using empirical operational data from the Sawitto PLTM in Pinrang Regency, Indonesia. Methods:
A quantitative ex-post facto research design was employed using monthly operational data on water discharge, water level, and electrical output collected from three generating units. The data were analyzed using descriptive statistics and multiple linear regression modeling implemented in Microsoft Excel and MATLAB. Statistical significance was evaluated using t-tests for partial effects and F-tests for simultaneous effects to assess the reliability of the predictive model. Results:
The regression analysis indicates that water discharge and water level collectively explain a substantial proportion of the variation in electrical output, as reflected by high coefficients of determination across generating units. However, individual statistical tests revealed that neither variable was statistically significant at the 5% level, suggesting that additional technical and operational factors, such as turbine efficiency, mechanical condition, hydraulic losses, and seasonal water availability, influence system performance. The findings also reveal discrepancies between theoretical and actual power output, indicating the presence of efficiency losses and operational constraints under field conditions. Novelty:
This study provides empirical evidence based on real operational data from a rural micro-hydro power plant and offers a practical engineering perspective by highlighting the interaction between hydrological variability and technical system performance, offering insights for improving predictive modeling and operational management of small-scale renewable energy systems.
Promethee-Based Prioritization of Energy-Saving Strategies in Public Office Buildings: An Energy Audit Approach Indrayati Galugu; Afif Fahmi Misbahuddin
Energy Insights Vol. 1 No. 2 (2026): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i2.11476

Abstract

This study aims to find out how the level of electrical energy used in the North Kolaka Regency Food Crops and Horticulture Office building and analyze energy-saving opportunities that can be applied to the building.  This study uses a quantitative descriptive method.  The data collection techniques used are documentation, observation and measurement.  In this study, the researcher analyzed the data descriptively and provided an overview of the Energy Consumption Intensity of electricity using the Promethee Multi Criteria Decision Making (MCDM) method. The results of this study show that the total power installed in the North Kolaka Regency Food Crops and Horticulture Office building is 7.700 VA with an average Energy Consumption Intensity value of 1,994 kWh/m2 in the building. The load that uses the largest electrical energy in the building is 1 PK AC of 1,087.8 kWh. Based on the analysis of electrical energy saving opportunities at the Food Crops and Horticulture Office of North Kolaka Regency, three alternative savings efforts were obtained, namely no-cost, low cost and high cost opportunities. By using the Promethee Multi Criteria Decision Making (MCDM) Method, calculations were carried out to determine the energy-saving opportunities that were prioritized to be applied to the building and alternative results of low cost opportunities were obtained.
Utilization of Solar Electrical Energy in Water Faucets Using Ping Sensors Andi Asraf; Haripuddin Haripuddin; Al Imran
Energy Insights Vol. 1 No. 2 (2026): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i2.12073

Abstract

This study aimed to determine the amount of electrical energy required to charge the battery to run the water pump, to determine the test results of the sink device using a ping sensor, and to determine the response of users from the school regarding the use of solar power on the sink. The research method used in this study is an experiment, which provides the most stringent hypothesis testing compared to other types of research. The results of this study are as follows: on the first and third days, when the pump was not on, the power generated to charge the battery was 39 and 61 Wh, respectively, indicating that the solar panel could charge the battery. On the second and fourth days, when the water pump filled the tank, the power generated was 37.7 Wh and 32.7 Wh, respectively, indicating that on the second day of the efficiency test, the solar panel produced maximum power compared to the fourth day of testing, which could charge the battery to turn on the water pump for 2.4 h. The ping sensor was declared successful and could work when it detected an object or hand according to the settings in the program script on the Arduino Uno, namely, the solenoid valve would be active when the distance detected by the sensor was less than 15 cm and released water within 0.1 s. The user's response from the school regarding the use of electrical energy was obtained using the questionnaire that has been given. The use of electrical energy in the sink was considered very good, with an average respondent score of > 4.2. This study is expected to be useful for schools to maintain the availability of water and the culture of handwashing.

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