INTEGRASI SENSOR MONITORING BERBASIS IOT UNTUK INCINERATOR SKALA KOMUNITAS

KEVIN ABDILLAH, . (2026) INTEGRASI SENSOR MONITORING BERBASIS IOT UNTUK INCINERATOR SKALA KOMUNITAS. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

	Text File COVER.pdf Download (960kB)
	Text File BAB 1.pdf Download (273kB)
	Text File BAB 2.pdf Restricted to Registered users only Download (806kB) | Request a copy
	Text File BAB 3.pdf Restricted to Registered users only Download (823kB) | Request a copy
	Text File BAB 4.pdf Restricted to Registered users only Download (733kB) | Request a copy
	Text File BAB 5.pdf Restricted to Registered users only Download (243kB) | Request a copy
	Text File Daftar Pustaka.pdf Download (223kB)
	Text File Lampiran.pdf Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Pengoperasian incinerator skala komunitas umumnya belum dilengkapi sistem pemantauan kondisi pembakaran dan emisi gas buang secara real-time, sehingga berpotensi menghasilkan pembakaran yang kurang optimal dan meningkatkan risiko pencemaran udara. Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring berbasis Internet of Things (IoT) untuk memantau temperatur ruang bakar, temperatur cerobong, serta konsentrasi gas CO, NOx, dan SO₂ pada incinerator skala komunitas. Penelitian ini dilakukan dengan beberapa tahapan, mulai dari perancangan, integrasi perangkat keras dan perangkat lunak, serta pengujian sistem. Sistem dikembangkan menggunakan mikrokontroler ESP32, sensor Thermocouple Tipe-K, MQ-7, MQ-135, dan MQ-136 yang terhubung dengan platform ThingSpeak sebagai media pemantauan berbasis cloud. Hasil penelitian menunjukkan bahwa sistem monitoring yang dikembangkan mampu melakukan akuisisi, pengiriman, dan visualisasi data secara real-time melalui platform ThingSpeak. Sistem berhasil memantau temperatur ruang bakar, temperatur cerobong, serta konsentrasi gas CO, NOx, dan SO₂ selama proses pembakaran. ***** Community-scale incinerators are generally not equipped with a real-time monitoring system to observe combustion conditions and exhaust gas emissions, which may result in inefficient combustion and increase the risk of air pollution. This study aimed to design and implement an Internet of Things (IoT)-based monitoring system for measuring combustion chamber temperature, chimney temperature, and the concentrations of carbon monoxide (CO), nitrogen oxides (NOx), and sulfur dioxide (SO₂) in a community-scale incinerator. The research was conducted through several stages, including system design, hardware and software integration, and performance testing. The proposed system employed an ESP32 microcontroller integrated with Type-K thermocouple sensors, MQ-7, MQ-135, and MQ-136 gas sensors, while ThingSpeak was utilized as the cloud-based platform for data storage and real-time visualization. The results demonstrate that the developed monitoring system successfully acquired, transmitted, and displayed sensor data in real time through the ThingSpeak platform. The system was able to continuously monitor combustion chamber temperature, chimney temperature, and the concentrations of CO, NOx, and SO₂ throughout the combustion process.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Aam Amaningsih Jumhur, Ph,D. ; 2). Ir. Waradzi Mustakim, S. T., M.Pd. T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Mesin, Mekanika Teknik Teknologi dan Ilmu Terapan > Teknik Elektronika Teknologi dan Ilmu Terapan > Manufaktur
Divisions:	FT > S1 Pendidikan Teknik Mesin
Depositing User:	Kevin Abdillah .
Date Deposited:	19 Aug 2026 01:48
Last Modified:	19 Aug 2026 01:48
URI:	http://repository.unj.ac.id/id/eprint/71556

Actions (login required)

View Item