Trisno Sanyoto
Universitas Pawyatan Daha

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ANALISIS VEKTOR PADA ALAT PENGUKUR DAN PEMBATAS (APP) 3 PHASA DI PLN UP3 MOJOKERTO Trisno Sanyoto; Muhammad Septian Wijaya; Zainul Bachtiar Sadoni
Jurnal Riset Sistem Informasi Vol. 1 No. 2 (2024): April : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/habpy378

Abstract

The high level of electrical energy consumption in the UP3 Mojokerto area has become a significant concern for PT PLN (Persero) UP3 Mojokerto, particularly due to the risk of inaccuracies at transaction points (kWh meters) that may lead to increased energy losses. PT PLN (Persero) seeks to prevent measurement errors or misuse of electrical energy at the Metering and Limiting Equipment (Alat Pengukur dan Pembatas/APP), which could result in financial losses for both the utility company and customers. This study aims to minimize such measurement errors and potential irregularities through vector analysis of APP installed on three-phase customers, using a quantitative research approach. The analysis is supported by vector diagrams and instantaneous data obtained from the Automatic Meter Reading (AMR) application. The results indicate that vector analysis combined with AMR data enables PT PLN (Persero) to detect measurement anomalies in APP at an early stage. Consequently, this approach contributes to reducing potential losses and improving fairness and accuracy in energy transactions for both PT PLN (Persero) and its customers.
SmartElectra: Sistem Cerdas Pengendali Aliran Listrik Berbasis Android untuk Otomasi Rumah Modern Ida Ernawati; Trisno Sanyoto; Setyo Hartono; Lawrence Adi Supriyono
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.6220

Abstract

In the digital transformation era, the demand for automation in household electrical systems continues to grow to improve energy efficiency and user convenience. Traditional manual control of electrical devices is considered inefficient and lacks integration with current smart technologies. This research addresses the problem by designing a smart electrical control system, SmartElectra, which allows users to remotely monitor and control the flow of electricity using an Android-based application. The system integrates the ESP32 microcontroller, a relay module, and a Wi-Fi network to receive and execute commands from the mobile application. The Android interface was developed using MIT App Inventor, enabling seamless wireless communication with the hardware. Testing was conducted to evaluate the system’s responsiveness, control accuracy, and communication range in a typical residential setting. Results show that SmartElectra effectively controls electrical loads with an average response time of 1.2 seconds and reliable operation within a 20-meter range. With its dual-core processing power and built-in wireless capabilities, the ESP32 provides a robust and scalable foundation for smart home applications. This system presents a cost-effective, user-friendly solution that enhances energy management and remote control in modern households.