Dhanti, Angela Irena Putri Sasmitha (2026) Analisis Keandalan Sistem Deteksi Gas Metana Dan Karbon Dioksida Berbasis Sensor Tgs2611 Dan Mq-135 Pada Sistem IoT Dalam Lingkungan Simulasi Lahan Gambut. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem deteksi gas metana (CH₄) dan karbon dioksida (CO₂) berbasis Internet of Things (IoT) memerlukan keandalan agar mampu melakukan pemantauan gas secara berkelanjutan pada lingkungan simulasi lahan gambut. Penelitian ini bertujuan menganalisis karakteristik respons sensor TGS2611 dan MQ-135 serta mengevaluasi keandalan sistem menggunakan analisis keandalan dan metode Failure Mode and Effects Analysis (FMEA). Pengujian dilakukan pada chamber simulasi menggunakan bio-slurry sebagai sumber gas metana dan reaksi cuka–baking soda sebagai sumber gas karbon dioksida. Evaluasi keandalan dilakukan berdasarkan kestabilan hasil pengukuran, kontinuitas pengiriman data, analisis failure rate, Mean Time To Failure (MTTF), FMEA, dan Diagram Pareto. Hasil penelitian menunjukkan bahwa sensor TGS2611 dan MQ-135 memiliki karakteristik respons terhadap perubahan paparan gas simulasi dengan nilai koefisien determinasi (R²) masing-masing sebesar 0,9653 dan 0,8829. Selama pengujian, temperatur dan kelembapan berada pada rentang 39,2–43,6 °C dan 44,0–52,8 %RH pada pengujian metana serta 39,5–42,6 °C dan 44,6–46,2 %RH pada pengujian karbon dioksida. Sistem mampu mengirimkan data hasil pengukuran ke dashboard IoT secara real-time, meskipun pada beberapa kondisi masih ditemukan kehilangan data akibat keterbatasan transmisi. Analisis FMEA menunjukkan bahwa adaptor 12 V dan modul LM2596 memiliki prioritas risiko kegagalan tertinggi, sedangkan Diagram Pareto menunjukkan bahwa lima komponen utama menyumbang 85,37% dari total nilai Risk Priority Number (RPN) sistem sehingga menjadi prioritas mitigasi risiko. Hasil penelitian ini dapat digunakan sebagai dasar dalam menentukan prioritas pemeliharaan dan mitigasi risiko untuk meningkatkan keandalan sistem deteksi gas berbasis IoT.
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An Internet of Things (IoT)-based methane (CH₄) and carbon dioxide (CO₂) detection system requires high reliability to enable continuous gas monitoring in a simulated peatland environment. This study aimed to analyze the response characteristics of the TGS2611 and MQ-135 sensors and to evaluate the system reliability using reliability analysis and the Failure Mode and Effects Analysis (FMEA) method. The experiments were conducted in a simulation chamber using bio-slurry as the methane source and a vinegar–baking soda reaction as the carbon dioxide source. System reliability was evaluated based on measurement stability, data transmission continuity, failure rate analysis, Mean Time To Failure (MTTF), FMEA, and Pareto analysis. The results showed that the TGS2611 and MQ-135 sensors exhibited appropriate response characteristics to variations in simulated gas exposure, with coefficients of determination (R²) of 0.9653 and 0.8829, respectively. During the experiments, the temperature and relative humidity ranged from 39.2–43.6 °C and 44.0–52.8% RH for methane testing, and 39.5–42.6 °C and 44.6–46.2% RH for carbon dioxide testing. The system was able to transmit measurement data to the IoT dashboard in real time, although occasional data loss occurred due to transmission limitations. The FMEA results identified the 12 V power adapter and LM2596 voltage regulator module as the components with the highest failure risk priority, while Pareto analysis showed that the five major components contributed 85.37% of the total Risk Priority Number (RPN), indicating that they should be prioritized for risk mitigation. The findings of this study provide a basis for determining maintenance priorities and implementing risk mitigation strategies to improve the reliability of IoT-based gas detection systems.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Internet of Things (IoT), Karbon Dioksida, Keandalan Sistem, Lahan Gambut, Metana, Carbon Dioxide, Internet of Things (IoT), Methane, Peatland, System Reliability |
| Subjects: | Q Science > QC Physics > QC100.5 Measuring instruments (General) |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45101-(S2) Master Thesis |
| Depositing User: | Angela Irena Putri Sasmitha Dhanti |
| Date Deposited: | 31 Jul 2026 07:40 |
| Last Modified: | 31 Jul 2026 07:40 |
| URI: | http://repository.its.ac.id/id/eprint/140902 |
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