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DGA–Duval Triangle Analysis for Early Thermal Fault Diagnosis of Transformer Oil Muhtar, Ali; Azizah Umar, Ismi
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.13359

Abstract

This study assesses the health of the T5 transformer oil at the Geothermal Power Plant to enable early thermal-fault diagnosis and support evidence-based maintenance. Methods comprised Dissolved Gas Analysis (DGA) with TDCG evaluation per IEEE C57.104-2019, Duval Triangle mapping, and breakdown-voltage (BV) and water-content testing per IEEE C57.106-2015. Results show TDCG of 686 ppm (Condition 1) with CO₂ at 10,000 ppm; gas fractions CH₄ 70.18%, C₂H₄ 29.24%, and C₂H₂ 0.58% place the point in zone T2 (300–700 °C). Water content is 29 ppm—above the recommended limit for transformers <72.5 kV (good: <10 ppm)—while mean BV is 73.4 kV, exceeding the 40 kV minimum. The evidence indicates a medium-level thermal fault with high moisture contamination. Oil filtering/dehydration and periodic DGA trend monitoring are recommended to mitigate failure risk and inform data-driven maintenance planning
The Role of MSME Business Development Training on Increasing Business Performance of BMT Beringharjo Ponorogo Partners Harahap, Soritua Ahmad Ramdani; Firmansah, Yayan; Maulana, Hartomi; Kurniawan, Dhika Amalia; Astuti, Rahma Yudi; Rusli, Lathiefa; Abidin, M. Zaenal; Muhtar, Ali
Proceeding Kilisuci International Conference on Economic & Business Vol. 2 (2024): Proceeding Kilisuci International Conference on Economic and Business
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/5cg86650

Abstract

Research aim : This research aims to determine the role of MSME business development training on improving the business performance of BMT Beringharjo Ponorogo partners. Design/Methode/Approach : In this research and service, we use direct observation methods in the field and use training and mentoring methods for BMT Beringharjo Ponorogo partners. Research Finding : The result of carrying out this research and service is that the MSME partners of BMT Beringharjo are able to understand and implement the concepts of financial recording, marketing methods through normal means and digital marketing, warehousing operations and HR management within the scope of their respective MSMEs
Deficit Threshold Optimization of an Automatic Transfer Switch for Hybrid Grid-Photovoltaic Systems in Tropical Climates Baqaruzi, Syamsyarief; Nandar, Cuk Supriyadi Ali; Muhtar, Ali; Hikmatullah, Muhammad Rizky; Rosmin, Norzanah
JET (Journal of Electrical Technology) Vol 11, No 1 (2026): EDISI FEBRUARI
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i1.13295

Abstract

The rising demand for dependable power supply in tropical areas, characterized by frequent grid instability, requires the use of automated transfer switches (ATS) in hybrid photovoltaic (PV)-grid systems. This study assesses the efficacy of an Arduino Mega 2560-based Automated Testing System (ATS) coupled with a 100 Wp polycrystalline photovoltaic panel and a 12 V 100 Ah battery in the tropical climate of Lampung, Indonesia, over a span of 15 consecutive days in January. The process encompasses hardware design, the construction of a control algorithm based on a multi-objective cost function incorporating risk factors, field data gathering, and MATLAB simulation. The findings indicate that the system attains 80% grid independence based on day count and exceeds 95% based on total energy, accompanied with a minimal switching frequency of 0.2 occurrences per day, signifying stable operation devoid of chattering. A significant contribution is the optimization of the shortfall threshold: adjusting the threshold from 0 Wh to –10 Wh decreases grid reliance from three days to one day, enhancing PV utilization from 80% to 93.3% without adding battery capacity. The relationship between irradiance and photovoltaic energy is robust (r = 0.94, R² = 0.88), with an average system efficiency of 10.04%, which is plausible for polycrystalline panels in hot, humid environments, including cable, inverter, and heat losses. The boxplot analysis verifies the absence of overlap between energy balances on photovoltaic days and grid days, hence affirming the reliability of ATS judgments. In conclusion, the suggested ATS featuring an adjustable deficit threshold is an economical and dependable option for telecommunication infrastructure in tropical developing areas.
Modelling Optimisation of Distributed PV-Battery Charge and Discharge Modes Using Systems for Improved Sustainable Energy Management Baqaruzi, Syamsyarief; Mustaqim, Amrina; Muhtar, Ali; Rizky Hikmatullah, Muhammad; Fadhilah, Rahmat; Munandar, Andika; Kharisma Army, Edo; Wira Buana, Setiadi; Wahyudi, Rizqi; Rifqi Dwi S, Muhammad
Engineering Science Letter Vol. 5 No. 01 (2026): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.001508

Abstract

This study examines the simulation of charge and discharge modes of lithium-ion batteries in a distributed photovoltaic system using MATLAB/ Simulink modeling. The objective is to analyze the integration of solar panels with battery-based energy storage systems to optimize performance and efficiency. The methodology involves mathematical modeling of photovoltaic cells based on p-n junctions, with key parameters such as temperature (15–30°C) and irradiance (1000 W/m²), along with the design of a Solar Charge Controller (SCC) to regulate energy flow. Simulations were conducted on four 150 W photovoltaic panels under varying environmental conditions, integrated with parallel-connected 12 V 250 Ah batteries. Results show a system efficiency of 87% at 25°C and 1000 W/m² irradiance, with panel output voltages aligning with mathematical equations (0.15 A error). Discharge mode analysis, accounting for system losses (inverter 5%, SCC 3%, wiring 2%), confirms the battery can supply a 5 Ω load for approximately 2.00 hours at 45% State of Charge (SOC), representing a 9.5% reduction from the ideal calculation. Simulations also compare SCC performance using DC and photovoltaic sources, demonstrating consistency in energy flow regulation. Validation results indicate the Simulink model’s accuracy in representing real-world characteristics, though MATLAB code simulations exhibit higher precision. The study highlights the importance of SCC control and SOC management to enhance battery lifespan and stability in renewable hybrid energy systems. Implications include potential applications.
The Integration of Photovoltaics with an IoT-Based Automatic Transfer Switch System for Telecommunication Applications Hikmatullah, Muhammad Rizky; Baqaruzi, Syamsyarief; Muhtar, Ali
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96342

Abstract

The stability of the power supply is very important for keeping telecommunications infrastructure running smoothly. Problems with the power supply can cause network devices to lose service quality and even stop working. This study is on the development of an Internet of Things (IoT)-enabled Automatic Transfer Switch (ATS) system that can monitor and manage electrical resources in real-time over the internet. An ESP32 microcontroller, a Wi-Fi module, a ZMPT101B AC voltage sensor, an ACS712 current sensor, a DC voltage sensor, and an ADS1115 ADC were all put together to make the system more accurate. The Nuxt framework was used to construct a web interface that shows measurement data provided to the Firebase Realtime Database. The test results show that the system can consistently transition resources between the power grid and a Solar Power Plant. The error rate for AC voltage measurements is less than 2%, and the error rate for DC voltage measurements is less than 1%. The IoT-based monitoring system also has an average connection delay of 2 to 3 seconds, which is still acceptable for monitoring power supplies in telecommunications systems. The proposed system could be used as an intelligent power management solution for small to medium-sized telecommunications networks.