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JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science)
Published by Universitas Merdeka Malang
ISSN : 26144859     EISSN : 26144867     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JEEMECS is an Open-Access journal who managed by Electrical Engineering Department, Faculty of Engineering, Universitas Merdeka Malang, Indonesia. The technologies are rapidly changing and updating. Thus rapid distribution and publication to researchers, engineers, and educators are very important. Our aim after receiving the manuscript and editing process required is to quickly publish the received letters. Publishing periodically 2 (two) times a year. More several other changes in JEEMECS are informed in the journal history.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol. 8 No. 1 (2025): February 2025" : 5 Documents clear
Design and Build an IoT-Based 3-Phase Electric Motor Protection System Adams, Billy; Bachri , Affan; Budi Laksono , Arief
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.13666

Abstract

The current condition of industries is very dependent on 3 phase electric motors as the production driver of the industry. Because using an electric motor can reduce pollution and is easy to maintain. However, 3 phase electric motors also need maintenance so that they are always ready to be used when needed 3-phase motor maintenance consists off, 3 phase electric motors are always kept clean, because if dirt gets into the 3-phase electric motor it will disrupt its performance. The control system of a 3-phase electric motor must always be maintained in good condition, if there is damage it must be replaced immediately. A protection system for the 3-phase electric motor must be provided so that the 3-phase electric motor does not experience damage that could disrupt the production process.
Enhancing Water Quality Prediction using the Decision Tree Approach with the C4.5 Algorithm Juniani, Anda Iviana; Nugraha, Anggara Trisna; Setiawan, Edy; Amelia, Putri; Handandi, Zukhruf Zidane; Hidayana, Elmi
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.14369

Abstract

Water quality is essential for safeguarding both public health and the environment. This study aims to develop a predictive model for assessing water quality using the Dtree (Decision Tree) method with the C4.5 algorithm. The research involves analyzing water samples from different sites around Sidomulyo Village, focusing on key parameters such as pH, Total Dissolved Solids (TDS), and turbidity. The objective is to create a model that categorizes water samples according to class II water quality standards. The research process includes data collection, initial data preparation, model development with the C4.5 algorithm, and performance evaluation. The results reveal that the dtree model achieved a high accuracy rate of 95.65% for water quality prediction. The confusion matrix analysis demonstrated a precision of 92.31% for predicting class II standards and 100% for identifying samples that did not meet these standards. These findings underscore the effectiveness of the C4.5 algorithm in evaluating water quality. The model offers valuable insights for water resource managers and policymakers, aiding in improved water quality monitoring and management. This research makes a significant contribution to enhancing decision support systems for more effective water quality management 
Design and Build a Research Information System at National Cyber and Crypto Polythecnic with Recommender System for Thesis Supervisor Based on Text Similarity Metric Wijayanti, Rheva Anindya; Hanaputra , Rayhan Ramdhany; Setiawan, Hermawan; Girinoto; Yasa , Ray Novita; Lumbantoruan, Jacob; Firmansyah , Muhammad Lucky Aulia
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.15219

Abstract

Politeknik Siber dan Sandi Negara (Poltek SSN) currently does not have an adequate system for managing research proposals. As a university, it must fulfill the Tri Dharma of Higher Education, one of them is research. Therefore, it is necessary to build a proposal for a management information system. Several previous studies have shown that research information systems can be built with several web frameworks. The approach of utilizing web scraping technology can integrate Google Scholar research data into the information system and recommendation services for accompanying lecturers using the Text Similarity Metric method to provide relevant results. In this study, an integrated research information system application will be built with Google Scholar, implementing the Text Similarity Metric method for the recommendation system for accompanying lecturers, and using the CodeIgniter 4 framework. The integration of the system with this lecturer recommendation service will be tested through monitoring lecturer satisfaction related to the research services provided by the system developed. The results obtained in this study are a research system that works in accordance with the business processes at Poltek SSN with the highest accuracy score on the cosine similarity algorithm of 92,95% and user satisfaction test results of 97,76%.
Utilizing OpenStreetMap for Collaborative Mobile Reporting System in Irrigation Infrastructure Management Syaifudin, Yan Watequlis; Saputra, Pramana Yoga; Abdullah, Zaed; Kyaw, Htoo Htoo Sandy; Rahmadani, Alfiandi Aulia; Fatmawati, Triana
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.14233

Abstract

Irrigation involves the artificial application of water to the soil, crucial to promoting crop growth where rainfall is insufficient, thus supporting healthy plant development and increasing yields. In Indonesia, a large part of the irrigation infrastructure is in disrepair, affecting agricultural productivity and causing food shortages and economic instability, especially among low-income populations. To manage this, local organizations oversee the maintenance of irrigation systems categorized into primary, secondary, and tertiary canals, prioritizing repairs based on severity. Meanwhile, mobile phones have become an essential part of everyday life in Indonesia due to their affordability and utility, which facilitate access to digital resources. Anticipated to reach 97% smartphone penetration by 2029, particularly with Android devices, this technology supports an innovative mobile application strategy for irrigation maintenance. This app enables farmers and community members to report issues collaboratively, accelerating the identification and repair process to improve agricultural management. Complementing this approach, OpenStreetMap (OSM) provides an editable global map resource, continuously updated by users and leveraging tools such as Leaflet JS to offer developers the ability to create interactive and customizable maps, enhancing infrastructure management through community participation. This study introduces a mobile reporting system for managing irrigation infrastructure, integrating several technical components to effectively address maintenance needs. Requiring compatible browsers like Chrome and Safari with specific minimum versions and at least Android 4.0 for accessibility, the system features a public-facing mobile website using OpenStreetMap for mapping. It includes a back-end server that serves mobile and monitoring applications and uses Firebase to store images of irrigation damage while managing database operations with PostgreSQL. The technical setup involves Windows 11, Visual Studio Code, PHP with Laravel for backend operations, and React JS with Leaflet JS for front-end design, running on hardware featuring an Intel Core i5 CPU and NVIDIA GTX 1650 GPU. Key APIs like Get Close Segments, Post Report, and Get The system facilitates data submission with locations and photos, provides report history viewing and filtering, and enhances user engagement through transparency in infrastructure management. The test with local farmers demonstrated the responsiveness and compatibility of the system across various platforms, ensuring that user reports are processed efficiently with reliable admin access for monitoring and tracking.  
Application Of Photodiodes As Sensors In Arduino-Based Automatic River Garbage Cleaner : AUTOMATIC RIVER GARBAGE CLEANER ashari, ibrahim; Yuwono , Alfarid Hendro
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.15165

Abstract

The river cleaning system is very concerning because of the amount of garbage that accumulates in the river, causing odor, dirt and flooding. In this regard, the idea arose to create a miniature river cleaning tool that is placed in the river or sluice channel. The way it works is that the tool is installed in the river or sluice channel, the tool is like an iron spoke. Then a sensor is installed in front of the iron spoke and there is also a stepper motor that is tasked with rotating the iron spoke. If there is garbage that blocks the sensor, the sensor gives a signal to the Arduino, then the Arduino gives a command to the motor and the motor rotates the iron spoke to lift the garbage from the river and throw it into the trash can that has been provided. Based on the test results, when the garbage sensor is not blocked by garbage, the stepper motor turns off and does not rotate. If the garbage sensor is blocked by garbage, the stepper motor turns on and rotates clockwise.

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