ANALISIS KINERJA SISTEM DETEKSI GAS KARBON MONOKSIDA, REFRIGERAN R134a, SUHU DAN KELEMBABAN BERBASIS MIKROKONTROLER ARDUINO UNO

MUHAMMAD YUSUF, . (2026) ANALISIS KINERJA SISTEM DETEKSI GAS KARBON MONOKSIDA, REFRIGERAN R134a, SUHU DAN KELEMBABAN BERBASIS MIKROKONTROLER ARDUINO UNO. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Karbon monoksida (CO) merupakan gas beracun yang dapat dihasilkan dari pembakaran tidak sempurna kendaraan bermotor yang dapat menghambat distribusi oksigen dalam tubuh. Batas paparan singkat karbon monoksida yaitu 200 ppm (Saiful Anuar et al., 2024). Selain itu, kebocoran refrigeran R134a pada sistem pendingin udara berpotensi menurunkan kadar oksigen di dalam ruang tertutup sehingga dapat menyebabkan risiko asfiksia. Roberti & Mueller, (2025) Dalam jurnalnya menyebutkan bahwa batas paparan gas refrigeran R134a yaitu 1000 ppm dalam waktu 24 jam. Peraturan Menteri Kesehatan Republik Indonesia tahun No. 2 tahun 2023 menyebutkan standar baku mutu kesehatan lingkungan untuk suhu sebesar 20-30 derajat celsius, dan kelembaban relatif sebesar 40-70 persen. Oleh karena itu, diperlukan sistem deteksi dini untuk memantau keberadaan gas karbon monoksida, gas refrigeran, suhu, dan kelembaban yang akurat. Penelitian ini bertujuan untuk menganalisis kinerja sistem deteksi gas karbon monoksida (CO), gas refrigeran R134a, suhu, dan kelembaban berbasis mikrokontroler Arduino Uno melalui pengujian banding dengan alat ukur referensi. Analisis kinerja dilakukan menggunakan parameter Mean Absolute Percentage Error (MAPE), Standard Deviation (SD), dan Relative Standard Deviation (RSD) untuk mengetahui tingkat akurasi dan kestabilan pembacaan sistem. Metode penelitian yang digunakan adalah metode eksperimen dengan pendekatan kuantitatif. Pengujian dilakukan dalam ruang tertutup berskala menggunakan paparan gas buang kendaraan sebagai sumber gas karbon monoksida, refrigeran R134a sebagai sumber gas uji, serta udara didalam ruang untuk memantau suhu dan kelembaban. Data hasil pengukuran sistem akan dibandingkan dengan data hasil referensi untuk mengetahui tingkat kesalahan dan kestabilan pembacaan sensor. Hasil pengujian menunjukkan bahwa sensor MQ-7 dan MQ-139 menghasilkan nilai Mean Absolute Percentage Error (MAPE) terendah pada kondisi lingkungan 35°C ±3°C dan 55% RH ±2%RH, dengan MAPE pada sensor MQ-7 sebesar 12,47%, 10.67%, 9.51% dan sensor MQ-139 sebesar 10.37%, 9,63%, 9.07% pada variasi paparan 50, 100, dan 150 ppm. Hasil perhitungan Standar Deviasi (SD) dan Relative Standard Deviation (RSD) menunjukkan bahwa sensor MQ-7, MQ-139, dan DHT22 memiliki hasil pengukuran yang relatif stabil.*****Carbon monoxide (CO) is a toxic gas produced by the incomplete combustion of motor vehicles that can inhibit oxygen distribution in the body. The short-term exposure limit for carbon monoxide is 200 ppm (Saiful Anuar et al., 2024). Additionally, leaks of R134a refrigerant in air conditioning systems have the potential to reduce oxygen levels in enclosed spaces, thereby posing a risk of asphyxia. Roberti & Mueller (2025) note in their journal that the exposure limit for R134a refrigerant gas is 1,000 ppm over a 24-hour period. Regulation of the Minister of Health of the Republic of Indonesia No. 55 of 2023 specifies environmental health quality standards for temperature at 20–30 degrees Celsius and relative humidity at 40–70 percent. Therefore, an early detection system is required to accurately monitor the presence of carbon monoxide gas, refrigerant gas, temperature, and humidity. This study aims to analyze the performance of a microcontroller-based detection system for carbon monoxide (CO), R134a refrigerant gas, temperature, and humidity using an Arduino Uno, through comparative testing with a reference measuring instrument. Performance analysis was conducted using the Mean Absolute Percentage Error (MAPE), Standard Deviation (SD), and Relative Standard Deviation (RSD) parameters to determine the accuracy and stability of the system’s readings. The research method used is an experimental method with a quantitative approach. Testing was conducted in a scaled-down enclosed chamber using vehicle exhaust as a source of carbon monoxide, R134a refrigerant as a test gas, and the air inside the chamber to monitor temperature and humidity. The measurement data from the system will be compared with a reference measurement data to determine the error rate and stability of the sensor readings. The test results showed that the MQ-7 and MQ-139 sensors achieved the lowest Mean Absolute Percentage Error (MAPE) under environmental conditions of 35°C ±3°C and 55% RH ±2%RH. The MQ-7 sensor produced MAPE values of 12.47%, 10.67%, and 9.51%, while the MQ-139 sensor produced MAPE values of 10.37%, 9.63%, and 9.07% at exposure levels of 50, 100, and 150 ppm, respectively. The Standard Deviation (SD) and Relative Standard Deviation (RSD) calculations indicated that the MQ-7, MQ-139, and DHT22 sensors exhibited relatively stable measurement results.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Eko Arif Syaefudin, M.T. ; 2). Dr. Siska Titik Dwiyati, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Mesin, Mekanika Teknik Teknologi dan Ilmu Terapan > Manufaktur
Divisions:	FT > D IV Teknologi Rekayasa Manufaktur
Depositing User:	MUHAMMAD YUSUF .
Date Deposited:	07 Aug 2026 03:46
Last Modified:	07 Aug 2026 03:46
URI:	http://repository.unj.ac.id/id/eprint/68947

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