Rancang Bangun Prototipe Alat Monitoring Debu dan Suhu Berbasis IoT di Pertambangan Batugamping

Abstract

Aktivitas pertambangan batugamping berpotensi menimbulkan paparan debu dan suhu tinggi yang dapat berdampak pada kesehatan pekerja. Pemantauan kondisi lingkungan secara real time diperlukan untuk mendukung penerapan Keselamatan dan Kesehatan Kerja (K3). Penelitian ini bertujuan merancang prototipe sistem pemantauan debu dan suhu berbasis Internet of Things (IoT) bernama EnviroAlert. Sistem menggunakan sensor GP2Y1010AU0F untuk mengukur konsentrasi PM10 dan DHT22 untuk mengukur suhu. Data diproses oleh mikrokontroler ESP32 dan dikirimkan secara real time ke platform Thingspeak untuk divisualisasikan. Pengujian dilakukan di tiga titik lokasi berbeda selama tiga jam. Hasil pengujian menunjukkan perbedaan konsentrasi PM10 dan suhu antar lokasi dipengaruhi oleh intensitas aktivitas kendaraan, kondisi permukaan tanah, dan faktor mikroklimat. Sistem alarm berbasis suara dan notifikasi Telegram berhasil diimplementasikan untuk memberikan peringatan dini ketika konsentrasi PM10 atau suhu melebihi batas yang ditentukan. Prototipe ini terbukti mampu menyediakan data real time, mendukung pemantauan lingkungan kerja, serta berpotensi membantu perusahaan dalam meningkatkan pengendalian risiko kesehatan dan keselamatan kerja.

Limestone mining activities potentially generate dust exposure and high temperatures that can adversely affect workers’s health. Real-time monitoring of environmental conditions is essential to support the implementation of Occupational Health and Safety (OHS). This study aimed to design a prototype monitoring system for dust and temperature based on the Internet of Things (IoT), named EnviroAlert. The system utilizes a GP2Y1010AU0F sensor to measure PM10 concentration and a DHT22 sensor to measure air temperature. Data are processed by an ESP32 microcontroller and transmitted in real time to the Thingspeak platform for visualization. Testing was conducted at three different sites for three hours each. The result showed that variations in PM10 concentration and temperature between locations were influenced by vehicle activity intensity, ground surface conditions, and microclimate factors. An alarm system using audio output and Telegram notifications was successfully implemented to provide early warnings when PM10 or temperature exceeded predefined thresholds. The prototype proved capable of delivering real-time data, supporting workplace environmental monitoring, and offering potential benefits for companies in enhancing health and safety risk management.