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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM)
Soraya Norma Mustika
State University of Malang
Religion Humanities Computer Science & IT Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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IMPLEMENTASI SISTEM MONITORING DAN KENDALI GENSET LPG SECARA NEAR REAL-TIME MENGGUNAKAN ESP32-S3 DAN FIREBASE: IMPLEMENTATION OF A NEAR REAL-TIME LPG GENERATOR MONITORING AND CONTROL SYSTEM USING ESP32-S3 AND FIREBASE Muhammad Arzu Prasetyo; Arya Kusumawardana; Soraya Norma Mustika; Royb Fatkhur Rizal
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7135

Abstract

Manual monitoring of generators often leads to delays in detecting malfunctions and is unable to provide near real-time data. This study aims to design and implement an Internet of Things (IoT)-based monitoring and control system for LPG generators using an ESP32-S3 microcontroller integrated with Firebase and an Android application called GENMON (Genset Monitoring System). The system is designed to measure various operational parameters of the generator, including voltage, current, power, temperature, and gas pressure, and to transmit these data continuously to Firebase for display through the Android application. In addition to presenting parameter information, the system is equipped with an automatic notification feature that triggers when abnormal conditions are detected, as well as remote-control functionality for starting and shutting down the generator. This research adopts a practice-based methodology encompassing the design of both hardware and software, followed by system performance testing and application functionality evaluation. Based on the test results, the system demonstrated good performance, with voltage sensor accuracy reaching 98.5%, frequency sensor accuracy reaching 99.33%, and current sensor accuracy reaching 100%, an average notification delay of 1.76 seconds, data transmission latency ±1 second, data synchronization success rate of 90%, and a control response time ranging from 1 to 2 seconds.
PENERAPAN MESIN SPINNER BERBASIS INVERTER UNTUK MENINGKATKAN PRODUKTIVITAS DAN KUALITAS KACANG METE PADA UMKM DININAS Triyanna Widiyaningtyas; Soraya Norma Mustika; Yogi Dwi Mahandi; Muhammad Iqbal Akbar; Sujito Sujito; Moh Zainul Falah
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 4 No 2 (2023): Jurnal Pengabdian Pendidikan Masyarakat Vol 4 No 2 (2023)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v4i2.1370

Abstract

Cashew nuts are the fruit of the cashew plant, the most important of which is the cashew nut itself. Cashews are one of the most traded nut products. One of the MSMEs located in Singosari, Malang Regency is an MSME engaged in processed food products, namely cashew nuts. This MSME is called Dininas. This business was initiated by Mrs. Dini Mei Nastiti and has been established since 2018. Mrs. Dini's business produces around 10 – 50 kg per day with production in the form of cashew nuts. The problem faced by partners is the slicing process which still uses the conventional method, namely draining naturally by placing it in a container covering it with oil-absorbing paper, and then aerating it. Therefore the solution that is relevant in community service is the application of Inverter-based Spinner machines are more optimal, hygienic, and efficient to increase the amount of production. It is hoped that this community service with the application of Inverter-based Spinner machines can help Dinias SMEs in producing cashew nuts and meet demands from consumers. In addition, this machine is also expected to increase the productivity, quantity, hygiene, and quality of cashew nuts as well as increase profits for business managers.
Co-Authors Arya Kusumawardana Joumil Aidil Saifuddin Moh Zainul Falah Muhammad Arzu Prasetyo Muhammad Iqbal Akbar Royb Fatkhur Rizal Triyanna Widiyaningtyas Yogi Dwi Mahandi