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PROTOTYPE WATER SPRAY OTOMATIS UNTUK PEMBERSIHAN DEBU BATUBARA PADA COAL CONVEYOR Arik Putra Pratama; Nina Paramitha; Rasmila; Tamsir Ariyadi
Tech-E Vol. 8 No. 2 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v8i2.3410

Abstract

Coal dust generated during the transfer process via belt conveyors at PT Bukit Asam Tbk has significant negative impacts on the environment and the health of workers. The current manual method, involving direct water spraying, is ineffective in controlling airborne dust and increases safety risks due to water exposure and unstable working conditions. To overcome these challenges, this study developed a prototype of an Arduino-based automatic water spraying system as a safer and more efficient solution.The system employs a SHARP GP2Y1010AU0F dust sensor to monitor coal dust concentrations in real-time and an HC-SR04 ultrasonic sensor to regulate water spraying automatically, based on the detected levels. The prototype was tested under operational conditions and showed optimal performance, effectively reducing coal dust concentrations while improving health and safety standards in the workplace.This innovation offers a practical and sustainable approach to coal dust management, addressing the shortcomings of manual methods. By automating the process, it minimizes worker exposure to dust and eliminates hazards associated with direct water application. The system's efficient and safe operation highlights its potential for broader implementation in similar mining environments. This technology not only resolves critical issues in coal dust control but also introduces a forward-thinking solution that aligns with industry goals for improved occupational safety and environmental protection.
Monitoring Of Preservative Detection Devices In Market Foodstuffs Anugrah pratama; Nina paramitha; Tamsir Ariyadi; Endah Fitriani
PROtek : Jurnal Ilmiah Teknik Elektro Vol 13 No 1 (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.v13i1.9713

Abstract

Food safety is a crucial issue in Indonesia, especially regarding the use of hazardous preservatives such as formaldehyde in street food. Manual monitoring of formaldehyde use is often ineffective, so an automated system is needed to detect formaldehyde in real time. This study aims to develop an Internet of Things (IoT)-based formaldehyde detection system using an ESP32 microcontroller equipped with an ultrasonic sensor for automatic object detection. The detection data is sent to a Telegram-based platform. The test results show that this system is capable of accurately detecting objects at a distance of 0-20 cm and measuring voltage well to ensure the stability of the device. Testing of food samples shows the presence of borax in some street food, which proves the effectiveness of the system in detecting harmful preservatives and improving food safety.