IMPLEMENTASI SISTEM PEMANTAUAN KUALITAS UDARA REAL-TIME BERBASIS IOT PADA PABRIK KIPAS (STUDI KASUS: BY KIPAS BALI)

Authors

  • I Wayan Gova Prapta Abiantara Universitas Primakara
  • Made Adi Paramartha Putra Universitas Primakara
  • Ni Putu Noviyanti Kusuma Universitas Primakara

DOI:

https://doi.org/10.31539/da90ae62

Abstract

The wooden fan production process at By Kipas Bali generates fine dust, fumes, and VOC emissions from cutting, sanding, and painting activities, which can degrade indoor air quality. To address the absence of a real-time monitoring system, this study develops an IoT-based air quality monitoring prototype using MQ135 and DHT22 sensors, an ESP32 microcontroller, and a Firebase-powered web dashboard. The prototype method is applied through stages of planning, design, construction, and testing. Two MQ135 sensors are installed at different production points to obtain more representative pollutant readings, while DHT22 measures temperature and humidity. Sensor data is processed by ESP32, transmitted to Firebase, and visualized in real time on a web dashboard. A buzzer provides immediate warnings when pollutant levels exceed safety thresholds. The system successfully delivers real-time monitoring, responsive alerts, and reliable data visualization, supporting safer and more controlled working conditions in the factory environment.

References

Arhizal.M, Ibnugraha.P, & Hadiyoso.S. (2025). Dashboard Iot Untuk Pemantauan Lingkungan Hidroponik Berbasis Web. E-Proceeding of Applied Science, 11.

Bobulski, J., Szymoniak, S., & Pasternak, K. (2024). An IoT System for Air Pollution Monitoring with Safe Data Transmission. Sensors, 24(2). https://doi.org/10.3390/s24020445

Fatimatuzzahra, F., Didik, L. A., & Bahtiar, B. (2020). Analisis Akurasi Sistem Sensor DHT22 berbasis Arduino terhadap Thermohygrometer Standar. Jurnal Fisika Dan Aplikasinya, 16(1), 33. https://doi.org/10.12962/j24604682.v16i1.5717

Firly.M. (2021). Pemanfaatan Sensor Mq-135 Sebagai Monitoring. https://doi.org/https://doi.org/10.3390/s2223443

García, L., Garcia-Sanchez, A. J., Asorey-Cacheda, R., Garcia-Haro, J., & Zúñiga-Cañón, C. L. (2022). Smart Air Quality Monitoring IoT-Based Infrastructure for Industrial Environments. Sensors, 22(23). https://doi.org/10.3390/s22239221

Hartanto Sri, & P.Dwi Andre. (2021). Rancang Bangun Sistem Absensi Dengan Pemeriksaan Suhu Tubuh Berbasis Arduino Atmega2560. Jurnal Ilmiah Elektrokrisna, 9 No 2.

Mahendra, D. A., & Winardi, S. (2023). Perancangan Realtime Database Firebase untuk IoT dan Unity Menggunakan Metode SDLC. Jurnal Ilmu Komputer Dan Bisnis, 14(2a), 72–82. https://doi.org/10.47927/jikb.v14i2a.525

Mironeanu, C., Archip, A., Amarandei, C. M., & Craus, M. (2021). Experimental cyber attack detection framework. Electronics (Switzerland), 10(14). https://doi.org/10.3390/electronics10141682

Nadifah, S., Susilo, C., & Hamid, M. A. (2023). Hubungan Mitigasi Early Warning System (EWS) dengan kesiapsiagaan Relawan dalam Menghadapi Bencana di Desa Supiturang Kabupaten Lumajang. Health & Medical Sciences, 2(1), 8. https://doi.org/10.47134/phms.v2i1.70

Nakhjiri, A., & Kakroodi, A. A. (2024). Air pollution in industrial clusters: A comprehensive analysis and prediction using multi-source data. Ecological Informatics, 80. https://doi.org/10.1016/j.ecoinf.2024.102504

Pramudita, R., & Setyawan, K. (2022). Sistem Smart Class Berbasis Internet Of Things Dengan Menggunakan Metode Prototype. SMARTICS Journal, 8(1). https://doi.org/10.21067/smartics.v8i1.7209

Pratama, E. W., & Kiswantono, A. (2023). Electrical Analysis Using ESP-32 Module In Realtime. JEECS (Journal of Electrical Engineering and Computer Sciences), 7(2), 1273–1284. https://doi.org/10.54732/jeecs.v7i2.21

Rahmadani, A. A., Syaifudin, Y. W., Setiawan, B., Panduman, Y. Y. F., & Funabiki, N. (2025). Enhancing Campus Environment: Real-Time Air Quality Monitoring Through IoT and Web Technologies. Journal of Sensor and Actuator Networks, 14(1). https://doi.org/10.3390/jsan14010002

Roihan, A., Mardiansyah, A., Pratama, A., Pangestu, A. A., Komputer, P. S., & Raharja, U. (2021). Simulasi Pendeteksi Kelembaban Pada Tanah Menggunakan Sensor Dht22 Dengan Proteus. Jurnal Methodika, 7(1).

Selay, A., Andgha, G. D., Alfarizi, M. A., Izdhihar, M., Wahyudi, B., Falah, M. N., Khaira, M., & Encep, M. (2022). Internet Of Things. In Karimah Tauhid (Vol. 1).

Siti Nurbaya. (2020). Peraturan Menteri Lingkungan Hidup Dan Kehutanan Republik Indonesia. (Peraturan Menteri Lingkungan Hidup Dan Kehutanan Republik Indonesia). https://ditppu.menlhk.go.id/portal/read/indeks-standar-pencemar-udara-ispu-sebagai-informasi-mutu-udara-ambien-di-indonesia

Yanuardi Lado, A., Widiarto, H., Samanhudi, A., & Penerbangan Indonesia Curug, P. (2020). Alat Peraga Kontrol Dan Monitoring Lampu Sorot Lapangan Perwira Angkasa Di Politeknik Penerbangan Indonesia Curug. In Jurnal Ilmiah Aviasi (Vol. 13, Number 3). http://journal.ppicurug.ac.id/index.php/jurnal-langit-biru

Yildiz, O., & Sucuoglu, H. S. (2025). Development of Real-Time IoT-Based Air Quality Forecasting System Using Machine Learning Approach. Sustainability, 17(19), 8531. https://doi.org/10.3390/su17198531

Yusop, N., Moketar, N. A., & Sadikan, S. F. N. (2024). Development of Arduino applications for IoT applications in software engineering education: a systematic literature review. Bulletin of Electrical Engineering and Informatics, 13(3), 1824–1831. https://doi.org/10.11591/eei.v13i3.4506

Zhu, C., Liu, Z., Zou, B., Xiao, Y., Zeng, M., Wang, H., & Fan, Z. (2023). An HBase-Based Optimization Model for Distributed Medical Data Storage and Retrieval. Electronics (Switzerland), 12(4). https://doi.org/10.3390/electronics12040987

Darmawan, I. M. D. H., Kusuma, N. P. N., Kshetri, N., Artani, K. T. B., & Wardani, W. P. P. (2026). Harnessing Blockchain for Transparent and Sustainable Accounting in Creative MSMEs amid Digital Disruption: Evidence from Indonesia. Journal of Risk and Financial Management, 19(1), 80. https://doi.org/10.3390/jrfm19010080

García, L., Garcia-Sanchez, A. J., Asorey-Cacheda, R., Garcia-Haro, J., & Zúñiga-Cañón, C. L. (2022). Smart Air Quality Monitoring IoT-Based Infrastructure for Industrial Environments. Sensors, 22(23). https://doi.org/10.3390/s22239221

Nakhjiri, A., & Kakroodi, A. A. (2024). Air pollution in industrial clusters: A comprehensive analysis and prediction using multi-source data. Ecological Informatics, 80. https://doi.org/10.1016/j.ecoinf.2024.102504

Putra, M. A. P., Karna, N. B. A., Zainudin, A., Kim, D. S., & Lee, J. M. (2024). TSFed: A three-stage optimization mechanism for secure and efficient federated learning in industrial IoT networks. Internet of Things (Netherlands), 27. https://doi.org/10.1016/j.iot.2024.101287

Putra, M. A. P., Kim, D. S., & Lee, J. M. (2022). Adaptive LRFU replacement policy for named data network in industrial IoT. ICT Express, 8(2), 258–263. https://doi.org/10.1016/j.icte.2021.10.004

Rahmadani, A. A., Syaifudin, Y. W., Setiawan, B., Panduman, Y. Y. F., & Funabiki, N. (2025). Enhancing Campus Environment: Real-Time Air Quality Monitoring Through IoT and Web Technologies. Journal of Sensor and Actuator Networks, 14(1). https://doi.org/10.3390/jsan14010002

Sampedro, G. A. R., Putra, M. A. P., & Abisado, M. (2023). 3D-AmplifAI: An Ensemble Machine Learning Approach to Digital Twin Fault Monitoring for Additive Manufacturing in Smart Factories. IEEE Access, 11, 64128–64140. https://doi.org/10.1109/ACCESS.2023.3289536

Santoso, F., Gusti, I., Pramesti, A., Putri, D., & Putu Noviyanti Kusuma, N. (2025). CORE BANKING TESTING PADA FITUR CONFIGURATION USER DI BPR LESTARI BALI. In Jurnal Mahasiswa Teknik Informatika) (Vol. 9, Number 3).

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Published

2026-07-21