Jurnal Mosfet

Pengaruh Lama Pemakaian Minyak Shell Diala B Terhadap Kuat Tegangan Tembus

2026-01-12T07:12:20+08:00

The electrical energy distribution of the power plant to customers was required the role of transformer that could increase and decrease voltage levels. Transformers was essential equipment in electricity distribution, both in transmission and distribution systems. Transformer was arranged of conductive materials and operated continuously, therefore it was need to be protected by insulation. The liquid insulation was commonly used, such as Shell Diala B which focused on this research. Although insulating oil was able to use over a long period, it might be regularly monitored because its ability to protect electrical equipment deteriorate. This paper was used laboratory research as the method. The researcher analyzed the effect of usage duration to determine its dielectric breakdown strength. It was found that the longer Shell Diala B oil is used, the more its quality declines, indicated by increased turbidity and decreased dielectric performance.

Optimasi Peramalan Beban Listrik dengan Regresi Linear Berganda Berbasis Algoritma Genetika: Studi Kasus Kabupaten Soppeng

2026-01-12T07:07:08+08:00

Electricity is a crucial infrastructure supporting economic and social development, thus requiring reliable supply planning. In Soppeng Regency, historical data from 2019–2023 show population growth from 226,992 to 240,955 people and GRDP increase from 10,938 to 14,909 billion rupiah, driving higher electricity demand. Customer numbers rose in the household sector from 29,438 to 34,376 and in industry from 33 to 58, with similar upward trends in connected load and energy use. This study addresses the challenge of accurate forecasting by applying Multiple Linear Regression (MLR) optimized with Genetic Algorithm (GA). Forecasting results up to 2028 predict household customers reaching 40,449 and industrial customers 89, while connected load grows from 35.7 to 34.0 million VA in households and from 8.6 to 17.4 million VA in industry. Electricity consumption is projected to exceed 41.8 million kWh in households and 13.5 million kWh in industry by 2028. Model evaluation using Mean Absolute Percentage Error (MAPE) confirms reliable accuracy, making the MLR–GA approach effective for future capacity planning.

Analisis Sistem Monitoring dan Perancangan Alat Pendeteksi Kemiringan Tiang Listrik Dan Kerusakan Lampu Penerangan Jalan Umum (LPJU) Berbasis Internet of Things (IoT)

2026-01-12T07:11:33+08:00

This study aims to design and implement an Internet of Things (IoT)-based monitoring system for detecting electric pole tilt and Public Street Lighting (LPJU) failures. Stable pole structures and optimal street lighting are critical to ensure public safety and comfort, especially at night. However, manual inspections are inefficient and often fail to provide early detection of infrastructure damage. The system was developed using NodeMCU ESP8266 integrated with a potentiometer-based tilt sensor and a voltage sensor. The sensors acquire data on pole tilt and LPJU status, which are transmitted via Wi-Fi to a web-based monitoring application. Experimental procedures were carried out through laboratory testing and limited field simulations to evaluate both hardware and software performance. The test results show that the tilt sensor provides a linear response between the tilt angle and the output voltage, allowing accurate detection of pole inclination. In addition, the system successfully identified LPJU conditions (on/off) and displayed them in real-time on the monitoring dashboard. In conclusion, the proposed IoT-based monitoring system has proven reliable in detecting pole tilt and LPJU failures. This approach not only improves the efficiency of infrastructure maintenance but also contributes to the development of smart city solutions through more advanced and real-time monitoring technologies

Sistem Akuisisi Data dan Monitoring Parameter Cuaca Berbasis Mikrokontroler

2026-01-11T21:22:19+08:00

Monitoring weather parameters in agricultural fields is essential for improving cultivation efficiency and supporting data-driven decision-making. Farmers often face limited access to real-time microclimate information, highlighting the need for an autonomous and accurate data acquisition system that can operate reliably in the field. This study aims to design and evaluate a sensor-based weather monitoring system that measures temperature, humidity, light intensity, and rainfall conditions, with an emphasis on supporting precision agriculture in rural areas. Field testing was carried out at the Paccoka agricultural site in Watang Suppa Village, where 15 sets of measurements were collected using digital sensors and an RTC module. The results indicate high sensor accuracy, achieving 97.92% for temperature, 94.03% for humidity, and 96.56% for light intensity, while the rain sensor consistently detected surface moisture variations based on incremental water droplets. The developed system demonstrated stable performance and effectively captured real-time microclimate dynamics, making it suitable for implementation as an IoT-based environmental monitoring solution in agricultural applications.

Sistem Kendali Pembangkit Listrik Tenaga Surya Skala Laboratorium Berbasis Internet of Things

2026-01-11T21:54:45+08:00

The increasing demand for renewable energy requires a more efficient and automatically controlled battery charging system. This study aims to design and implement a battery charging control system in a laboratory-scale Solar Power Plant (SPP) using an Internet of Things (IoT) approach. The main issue addressed is how to design a system architecture capable of automatically controlling battery charging and being monitored remotely through an IoT application. The method used involves an ESP32 microcontroller as the control unit, a voltage sensor to read the battery voltage, and a relay as an actuator to disconnect and connect the charging current. Voltage data and charging status are displayed on an LCD and sent in real-time to the Firebase Realtime Database. The system also records historical charging logs in the form of time, voltage, capacity, and charging status data. Test results show that the system works as designed, disconnecting charging when the voltage reaches 13.8V and reactivating it when the voltage drops to 12.20V. The system demonstrates stable charging and discharging performance, with testing recording an upper voltage threshold of 13.87V and a lower voltage threshold of 12.20V. This research proves that the system can serve as an initial solution in the development of IoT-based renewable energy charging monitoring and control technology