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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Proceeding Applied Business and Engineering Conference
Hardi B
Politeknik Negeri Bengkalis
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Implementasi Smart class Pada Ruang Belajar Di Jurusan TeknikElektro Berbasis RFID Hikmatul Amri; Adam; Agustiawan; Hardi B; Iman Saputra; Rodotul Azkia; Suci Damayanti; Endang Setio Rini
ABEC Indonesia Vol. 10 (2022): 10th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

Electrical energy is one of the most important human needs and cannot be separated from daily needs. Lack of electrical energy can interfere with human activities as well. Therefore, the availability of electrical energy must be maintained. In Indonesia, the need for electrical energy is increasing because it is seen from population growth and advances in information and technology. The use of electric power is usually more widely used in the study rooms at the Bengkalis State Polytechnic, especially the Electrical Engineering Department consisting of classrooms, and laboratories and electrical workshops. In this study room, the electrical installation system is still conventional to turn on the lights, air conditioning and laboratory equipment centered on the panels in each room. Problems arise when room users do not turn off electrical equipment after the lecture is over and leave the room. The wasted use of electrical energy in the study room can be minimized by updating the conventional control system to semi-automatic. The system applied is smart door and smart class is an access to the electrical system by attaching the RFID card of lecturers who enter the class to the RFID access control. The test results show thatRFID access control detects RFID cards up to a distance of 6 cm. The exit button uses a low activation system where when pressed the output voltage is 1.10 volts and when released the output voltage is 17.41 volts. The electric bolt lock terminal voltage when active is 0 volts and when not active is 14.18 volts. The activation time of the RFID reader switch is 1.08 seconds and the deactivation time is 29.51 seconds. The system can work with a 100% success rate and an average execution time of 2.27 seconds.
Implementation of an IoT-Based Control and Monitoring System for Neon Box Conditions in the Electrical Engineering Building Hikmatul Amri; Zulkifli Zulkifli; Stephan Stephan; Hardi B; Ilham Haris; Azzahra Zulaika; Riski Kurniansyah; Jefri Lianda; Marzuarman Marzuarman
PROtek : Jurnal Ilmiah Teknik Elektro Vol 13 No 2 (2026): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v13i2.11082

Abstract

The implementation of an Internet of Things (IoT)-based control and monitoring system for the neon box at the Electrical Engineering Department Building aims to improve operational efficiency, installation safety, and the effectiveness of outdoor lighting maintenance. As an information medium and building identity, the neon box requires real-time monitoring of power, voltage, current, light intensity, and operational status. In this study, a system was designed and implemented using a NodeMCU ESP8266 microcontroller as the main controller, a PZEM-004T sensor to measure voltage, current, and power, a TSL2561 lux sensor to read the light intensity produced by the neon box, and a relay module as an actuator to control the neon box lamp. The Blynk IoT platform is used as the interface to display monitoring data and control the neon box remotely. The system is capable of sending data periodically to the server and displaying information such as voltage, current, power, energy, and illumination levels through a digital dashboard, allowing users to monitor the neon box condition at any time via a smartphone. In addition to monitoring functions, the relay module integrated with the IoT system enables operators to remotely turn the neon box on or off through the Blynk IoT application. The Blynk IoT interface successfully displays four main parameters: voltage, electrical power, lumen, and neon box status at the Electrical Engineering Building. The PZEM-004T sensor achieved an average reading error of 0.66% for voltage and 2.53% for current, while the TSL2561 sensor had an average error of 1.42%. The system can detect lamp failure through combined voltage and power readings, with a response time of 0.856 seconds on the Blynk IoT application, which is influenced by internet network quality.
Co-Authors Adam Adam Agustiawan, Agustiawan Azzahra Zulaika Endang Setio Rini Hikmatul Amri Ilham Haris Iman Saputra Lianda, Jefri Marzuarman, Marzuarman Riski Kurniansyah Rodotul Azkia Stephan Stephan Suci Damayanti Zulkifli Zulkifli