Angela Irene Putri Sasmitha Dhanti

Department of Physics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

Iwan Sugriwan

Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Lambung Mangkurat, Banjarbaru, South Kalimantan, Indonesia

Melania Suweni Muntini

Department of Physics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

DOI: https://doi.org/10.19184/jid.v27i2.60027

ABSTRACT 

Real-time monitoring of methane (CH₄) and carbon dioxide (CO₂) in peatland simulation environments requires a reliable Internet of Things (IoT)-based monitoring platform. This study evaluated the reliability of an IoT-based gas monitoring platform through sensor response characterization, reliability modeling, and failure risk assessment. The monitoring platform consisted of methane, carbon dioxide, and environmental sensors integrated with an IoT-based monitoring architecture. Reliability evaluation was performed using a Reliability Block Diagram (RBD), Mean Time to Failure (MTTF), Weibull distribution, and Failure Mode and Effects Analysis (FMEA). The methane sensor exhibited a strong linear response with a coefficient of determination (R²) of 0.9653, whereas the carbon dioxide sensor also demonstrated good linearity with an R² of 0.8829. Repeated measurements demonstrated stable sensing performance, while reliability analysis indicated that the monitoring platform is expected to operate reliably throughout most of its useful-life phase. Furthermore, FMEA identified the power supply and voltage regulator as the most critical components, followed by the microcontroller and wireless communication module, which were also identified as priorities for reliability improvement. These findings demonstrate that the proposed monitoring platform provides an effective framework for evaluating and improving the reliability of IoT-based gas monitoring systems for peatland simulation applications.

Keywords: Carbon dioxide, Failure Mode and Effects Analysis, Internet of Things, methane, Reliability Block Diagram.