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All Journal Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat Bangsa
Ezwarsyah Ezwarsyah
Universitas Malikussaleh, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Prototype of Car Washing Automation and Monitoring System Using Outseal PLC and Modbus HMI Gusti Randa Affinda Putra; Ezwarsyah Ezwarsyah; Raihan Putri; Badriana Badriana; Rosdiana Rosdiana
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6465

Abstract

Automation technology has significantly improved the efficiency of various sectors, including car washing services, which traditionally require intensive time and labor.This research aims to design and develop a prototype of an automatic car washing system using Outseal PLC and Modbus HMI to enhance the effectiveness and quality of car washing processes.The prototype integrates infrared proximity sensors, DC gearbox motors, DC pumps, DC fans, and a conveyor system controlled by a ladder diagram programmed through Outseal Studio. Wireless monitoring and control are enabled using the DT-06 WiFi module with Modbus TCP/IP protocol. Performance testing was conducted to evaluate system responsiveness, sensor accuracy, and the stability of wireless communication between the PLC and HMI.The system successfully automated all stages of the car washing process, including soap spraying, brushing, rinsing with clean water, and drying, achieving response times ranging from 0.14 to 0.3 seconds. Wireless communication remained stable up to a distance of 16 meters, and the infrared proximity sensors demonstrated high detection accuracy with an error margin of only 2–3.2%.The developed prototype effectively automates the car washing process with accurate detection and responsive control, operating reliably under testing conditions. This system is suitable for small-scale car washing operations and educational laboratory applications, with potential scalability for broader industrial implementation with additional development in advanced brush mechanisms and cloud-based monitoring integration.
PKM Pemberdayaan Masyarakat melalui Pendampingan Teknologi IoT dalam Pemantauan Kualitas Air Kolam berbasis Ramah Lingkungan Teuku Multazam; Syukriah Syukriah; Asran Asran; Edi Yusuf; Ezwarsyah Ezwarsyah; Mochamad Ari Saptari
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 5 (2026): Juli
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v4i4.4562

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kapasitas Kelompok Pembudidaya Ikan (Pokdakan) Mina Ujong Blang, Kecamatan Muara Dua, Kota Lhokseumawe dalam pemanfaatan teknologi Internet of Things (IoT) untuk pemantauan kualitas air kolam budidaya ikan secara real-time. Permasalahan utama mitra adalah masih terbatasnya sistem monitoring kualitas air yang dilakukan secara manual sehingga proses pengambilan keputusan bersifat reaktif dan kurang akurat. Metode pelaksanaan kegiatan meliputi implementasi sistem IoT berbasis sensor suhu, pH, kekeruhan, dan oksigen terlarut, pendampingan penggunaan sistem, serta evaluasi peningkatan pemahaman mitra. Hasil kegiatan menunjukkan bahwa sistem IoT yang diterapkan mampu memberikan data kualitas air secara real-time dan meningkatkan efektivitas monitoring kolam. Selain itu, terjadi peningkatan kemampuan mitra dalam mengoperasikan sistem digital serta perubahan pola pengelolaan budidaya dari berbasis pengalaman menjadi berbasis data. Dengan demikian, kegiatan ini berkontribusi dalam meningkatkan efisiensi pengelolaan budidaya ikan sekaligus mendorong penerapan teknologi digital yang lebih ramah lingkungan dan berkelanjutan.
System monitoring Soil PH moisture based IoT Mutammimul Ula; Ezwarsyah Ezwarsyah; Mochamad Ari Saptari; Bakhtiar Bakhtiar; T Multazam
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5974

Abstract

Soil moisture is a water content that wets the soil pores either partially or completely. So far, the process of checking soil moisture is still done manually, where farmers must come directly to the field. To help the process of checking soil pH, this researcher designed and built a soil pH moisture monitoring system based on the Internet of Things which aims to facilitate the process of monitoring the results of soil values ??including pH and moisture levels. In implementing the development of this monitoring system, it was designed using a soil moisture sensor and pH sensor integrated with an Internet of Things (IoT)-based platform, allowing users to monitor soil conditions in real-time via mobile or web applications. With accurate and continuous data, farmers can take quick steps in irrigating and amending soil pH, thereby increasing plant productivity and maintaining soil health. This system implements an Arduino UNO microcontroller, transmitter, YL-69 soil moisture sensor, and LCD as part of the soil monitoring system. Based on the results of the design and testing of this soil moisture monitoring system, users can get information on the condition of the soil pH moisture content. The test results show that this system has high measurement accuracy and easy data access, making it a potential solution to support sustainable agriculture.
Co-Authors Asran Asran Badriana Badriana Bakhtiar Bakhtiar Edi Yusuf Gusti Randa Affinda Putra Mochamad Ari Saptari Mutammimul Ula Raihan Putri Rosdiana Rosdiana Syukriah Syukriah T Multazam Teuku Multazam