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Sistem Monitoring Konsumsi Daya Listrik Berbasis IoT untuk Efisiensi Energi pada Gedung PENMARU Universitas Muhammadiyah Lampung Yudi Eka Putra; Oktavia Eka Rahayu; Yenni Afrida; Jeckson Jeckson; Fitriono Fitriono; Sri Suryani
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 2 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n2.3199

Abstract

Abstract. Electrical energy usage in buildings with three-phase distribution systems requires proper monitoring to ensure energy consumption can be controlled effectively and efficiently. Common problems in building electrical systems include load imbalance between phases, delayed fault detection, and manual monitoring processes that prevent real-time observation of power consumption conditions. This study aims to design and develop an Internet of Things (IoT)-based electrical power consumption monitoring system for the PENMARU Building of Muhammadiyah University of Lampung using the PZEM-004T sensor and ESP32 microcontroller. The system was designed to monitor electrical parameters such as voltage, current, active power, electrical energy, and power factor in a three-phase electrical system in real-time through an IoT-based monitoring dashboard. The research method used in this study was Research and Development (R&D), which included system design, hardware and software implementation, system testing, and analysis of measurement results. The results showed that the system was able to monitor electrical parameters in real-time with a measurement error below 1%. The seven-day testing results indicated that the average power on phase R was 74.86 W, phase S was 225.64 W, and phase T was 51.01 W, with total electrical energy consumption reaching 47.06 kWh. In addition, the system successfully transmitted monitoring data stably through a Wi-Fi network and displayed the data on the IoT dashboard in real-time. Therefore, the proposed monitoring system is considered capable of supporting more effective, responsive, and efficient electrical energy consumption monitoring.
Analysis and Visualization of High School Student Achievement Data Using Decision Tree and Cross-Validation in Rapidminer Hartanta, Radhitya Yunandri; Asroni, Asroni; Riyadi, Slamet; Jeckson, Jeckson
Emerging Information Science and Technology Vol. 4 No. 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20731

Abstract

The vision, mission, and work indicators of high school education are all geared toward producing graduates of excellent quality. Students’ academic performance in the first and second grades indicates their eventual excellence as graduates. However, it is not feasible to ensure that students in the third year have good results only by comparing their academic achievements during the first and second grades. School leaders and policymakers can benefit from data analysis and visualization by gaining insight into recurring patterns and emerging trends in their stored data. Leaders and management at schools can benefit significantly from Rapidminer’s decision tree and cross-validation data analysis methods when trying to figure out what to do about students performing well or poorly academically.
Study On Implementation Of Watergate Control System From Manual To Automatic Based Arduino Nano ATmega328 Syafrudin, Ahmad; Jeckson, Jeckson; Afrida, Yenni
Emerging Information Science and Technology Vol. 5 No. 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22424

Abstract

The system for processing river water into clean water by operating sluice gates which are controlled manually by operators often causes problems (human error), so a system must be created that is capable of controlling sluice gates automatically. The turbidity sensor detects water turbidity which is then accepted by the Arduino nano as the basis for controlling the water gate. In this research, data collection techniques were carried out using interviews with resource persons (operators), observation and literature study. After the automatic sluice control system based on the Arduino nano ATmega328 was implemented, the results obtained were: When the water conditions are muddy and murky, relay one is "on", relay two is "off" (the sluice gate is closed), while when the water conditions are normal and clear then the relay two "on" relays and one "off" relay (open floodgate). In this way, we no longer just have to rely on the operator to control the sluice gate, so that the water treatment process can be more optimal and efficient
Optimalisasi Faktor Daya dan Reduksi Rugi Daya Menggunakan Capacitor Bank Berbasis MATLAB Simulink Fatahilal Rasyid Agusta; Yenni Afrida; Fitriono Fitriono; Dasweptia D; Hamimi Hamimi; Jeckson son; Yudi Eka Putra
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 3 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n3.3092

Abstract

Abstract. Operation of electrical equipment with a low power factor results in increased current and reactive power, reducing efficiency and causing losses in the PLN distribution network. This study examines the capacitor bank requirements based on load measurements and power factor (cosφ) for 52 three-phase low-voltage customers of PT PLN (Persero) ULP Karang. MATLAB simulations were used to determine the required capacity of the capacitor bank to increase the power factor above 0.85. The simulation results show that after installing capacitor banks, the average power factor increased to 0.99. Active power increased by 30.4% (from 76,638 watts to 99,970 watts), while reactive power decreased by 63% (from 65,768 VAR to 24,521 VAR). These improvements are expected to enhance the operational efficiency of electrical equipment with inductive loads and reduce power losses in the PLN network.