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All Journal Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Diana Rahmawati
Teknik Elektro, Teknik, Universitas Trunojoyo Madura, Jl. Raya Telang, Bangkalan, Indonesia, 69162
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Development Of Internet Of Things (IoT) Trainer As A Learning Media Using NodeMCU ESP32CAM Khotibul Umam; Achmad Fiqhi Abdullah; Achmad Ubaidillah; Hanifudin Sukri; Diana Rahmawati; Riza Alfita
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p53-65

Abstract

This study examines the potential and implementation of feature development on the ESP32CAM as an Internet of Things (IoT) based learning medium in the form of a trainer. This research addresses the gap in the use of the Node MCU ESP32CAM as IoT technology in educational media, which has not been widely utilized. The primary goal of this study is to analyze and explore the use of the ESP32CAM as a trainer to enhance IoT - based learning. The study employs an exploratory approach to investigate the use of the ESP32CAM, including an analysis of the application of the technology in a learning environment. Data were obtained through questionnaires distributed to experts and users/students, involving 45 students from the Elect rical Engineering program at Trunojoyo University Madura. The results of the study indicate that the IoT trainer using the Node MCU ESP32CAM is highly feasible, with an eligibility percentage of 91.08% from expert evaluations and 87.25% from user evaluations. It is hoped that the findings of this research can provide new insights into innovations in IoT use and serve as a foundational basis for further development in the related field
Design and Development of a Two-Tub Washing Machine Trainer Based on Arduino Nano Diana Rahmawati; Riza Alfita; Mohammad Izhandi Ifan Nur Rohman; Rosida Vivin Nahari; Heri Setiawan; Rachmat Setiawibawa; Joseph Robert Giri
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p75-80

Abstract

A washing machine is a crucial device for society as it offers convenience and practicality. However, the efficiency of a washing machine can decline over time, especially in its components which may experience performance degradation or damage. This research involves designing a damage detection tool for washing machines, structured as a trainer operated in simulation form, serving as a learning medium to better understand the systematic functioning of washing machines. This trainer module uses toggle button switches installed on each cable line to simulate various damage conditions. The sensor used in this trainer is the PZEM-004T, which detects the current, voltage, and power used by the AC (Alternating Current) motor. To measure the motor's RPM (Revolutions per Minute) speed, a proximity sensor utilizing the Hall effect principle is employed. The microcontroller used to process the data generated by the sensors is an Arduino Nano, with the data displayed on an LCD (Liquid Crystal Display). In this research, the results based on the PZEM-004T sensor testing showed it could measure voltage, current, and power with an error rate of 7.3% and a success rate of 92.7%. The proximity sensor could measure motor speed with an error rate of 3.4% and a success rate of 96.6%. The main challenge in  the monitoring system was the real-time reading on the LCD screen frequently halting due to the long delay required to read the proximity Hall effect sensor values.
Co-Authors Achmad Fiqhi Abdullah Achmad Ubaidillah Hanifudin Sukri Heri Setiawan Joseph Robert Giri Khotibul Umam Mohammad Izhandi Ifan Nur Rohman Rachmat Setiawibawa Riza Alfita Rosida Vivin Nahari