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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal)
BENYAMIN HERYANTO RUSANTO
Sekolah Tinggi Meteorologi Klimatologi dan Geofisika
Agriculture, Biological Sciences & Forestry Chemistry Education Electrical & Electronics Engineering Engineering Physics

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Design and Development of IoT-Enabled Portable Device for Multiparameter Air Quality Monitoring DERBY BRYLIAN ADINARA; AGUSTINA RACHMAWARDANI; ADI WIDIATMOKO WASTUMIRAD; BENYAMIN HERYANTO RUSANTO; DWI INDRA PRASETYO; HANIF KURNIAWAN; ABDUL MANAF HANI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.339

Abstract

The limitations of Indonesia's air quality monitoring infrastructure have prompted research to develop portable Internet of Things (IoT)-based monitoring devices. The system is designed using ESP32 and Arduino Uno integrated with MQ136 (SO2), MQ131 (NO2), MiCS-5524 (CO), TGS-2611 (CH4), Gravity-0460 (PM), and Gravity-0321 (O3) sensors. Data is converted into AQI values and displayed via LCD, Telegram, and website. The device is equipped with an early warning system that includes a buzzer, a website pop-up, and Telegram messages. Field testing results over 24 hours at POS KU Cibeureum recorded peak concentrations of PM2.5 (19 μg/m³), PM10 (58 μg/m³), NO₂ (1.375 ppb), CO (238 ppb), SO₂ (0.74 ppb), and O₃ (45 ppb). The device can be operated portably with the following dimensions: enclosure I, 20×20 cm; enclosure II, 7×12 cm; control panel box, 30×40 cm (pre-assembled) and 100×180 cm (post-assembled). The device has proven effective as an adaptive monitoring solution for residential areas surrounding industrial zones.
Modular Software Architecture for a Raspberry Pi-Based Geophysical Data Acquisition System Ilham Muthahhari; Benyamin Heryanto Rusanto; Suko Prayitno Adi; Nardi; Muhammad Dzakwan Firdaus
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 7 No. 4 (2026): November (In Press)
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v7i4.3217

Abstract

Continuous geophysical data acquisition requires software that can maintain sampling, timing, data storage, and system operation when individual components become unavailable. This paper describes a modular software architecture developed for a Raspberry Pi-based 24-bit geophysical data acquisition system. The application is divided into six modules covering system orchestration, hardware abstraction, signal processing, data persistence, REST services, and the web interface. External configuration, hybrid timestamping using GPS, a DS3231 real-time clock, and a monotonic counter are used together with deadline-based scheduling and layered fault handling. The software was evaluated through dependency analysis, startup measurement, induced fault tests, dashboard checks, and a one-hour acquisition test at 100 SPS. The system reached a record-ready state in 7.840 s and recorded 360,000 samples per channel during the one-hour test, with no dropped samples, MiniSEED gaps, or overlaps. Acquisition also continued during watchdog access denial, temporary database disconnection, GPS unavailability, and REST service interruption. The results show that a modular software structure can support continuous geophysical data acquisition on a general-purpose Linux platform without a real-time kernel.
Co-Authors ABDUL MANAF HANI Adi Widiatmoko Wastumirad Agustina Rachmawardani DERBY BRYLIAN ADINARA DWI INDRA PRASETYO HANIF KURNIAWAN Ilham Muthahhari Muhammad Dzakwan Firdaus Nardi Suko Prayitno Adi