Analysis of the Implementation of an Internet of Things (IoT) Based Environmental Quality Monitoring System Using Multi-Parameter Sensors

Siska Aprelyani

doi:10.38035/sijet.v3i3.373

Authors

Siska Aprelyani Universitas Bhayangkara Jakarta Raya, Bekasi, Indonesia

DOI:

https://doi.org/10.38035/sijet.v3i3.373

Keywords:

Internet of Things (IoT), Multi-Parameter Sensors, Environmental Quality Monitoring, Realtime Monitoring

Abstract

The implementation of an Internet of Things (IoT) based environmental quality monitoring system using multi-parameter sensors has emerged as a solution to overcome the limitations of conventional monitoring methods, which are unable to provide continuous and real-time data. This study aims to analyze the implementation of an IoT-based environmental quality monitoring system using multi-parameter sensors and evaluate the sensors' performance in measuring various environmental quality parameters in real time. A Systematic Literature Review (SLR) method was employed by analyzing national scientific publications published between 2016 and 2026. The findings indicate that the monitoring system is implemented through the integration of multi-parameter sensors, microcontrollers, communication networks, cloud computing, and monitoring dashboards, enabling automatic and real-time environmental monitoring. Furthermore, the sensors demonstrate satisfactory accuracy, responsiveness, and reliability after proper calibration, although their performance is influenced by environmental conditions and periodic maintenance requirements. The novelty of this study lies in providing a comprehensive synthesis of IoT system implementation and multi-parameter sensor performance within a single analytical framework. In conclusion, IoT-based environmental monitoring systems have significant potential to improve environmental management through accurate, continuous, and real-time data acquisition.

References

Azis, M. T., & Siswoyo, E. (2024). Inovasi Alat Ukur Multiparameter Kualitas Air Berbasis Android. Asian Journal of Innovation and Entrepreneurship, 08(02), 49–56.

Gitakarma, M. S., Ariawan, K. U., & Pracasitaram, I. G. M. S. B. (2024). Peran Mikrokontroler Dalam Pengembangan Aplikasi IoT: Tinjauan KOnseptual dan Impelementasi. Jurnal Komputer Dan Teknologi Sains, 3(2), 18–24.

Graft, J., Romine, W., Watts, B., Schroeder, N., Jawad, T., & Banerjee, T. (2023). A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students. Sensors, 1–23. https://www.mdpi.com/journal/sensors

Noor, Z., Safitriani, D., Nugroho, A. Y., Rahmad, I. F., Apriyanto, Dayat, A. R., Fajri, R., Patty, H. W., Kemalaintan, N., Angriani, L., Deta, B., Sena, A., & Murdawati. (2025). Penerapan Teknoligi Internet of Things Dalam Industri (A. Novendra (ed.); Cetakan Pe). CV. Pustaka Inspirasi Minang.

Putra, F. P., Mahmud, M. A., & Maqom, I. S. (2023). Pengembangan Sistem Pemantauan Lingkungan Berbasis Internet of Things ( IoT ) di Kampus. Digital Transformation Technology (Digitech), 3(2), 996–1001.

Rifki, M. I., & Lubis, F. H. (2026). Sistem Monitoring Multiparameter Kesuburan Tanah Pada Lahan Pertanian Berbasis Internet Of Things. JOURNAL OF COMPUTER SCIENCE AND INFORMATICS ENGINEERING, 05(1), 83–97. https://doi.org/10.55537/cosie.v5i1.1358

Syahfitri, A. (2025). Internet of Things ( IoT ), Sejarah , Teknologi , dan Penerapannya. Jurnal Ilmiah Teknik Elektro, Sains Dan Informatika, 3(1), 113–120. https://doi.org/10.61132/uranus.v3i1.667

Syahrizal, H., & Jailani, M. S. (2023). Jenis-Jenis Penelitian Dalam Penelitian Kuantitatif dan Kualitatif. Jurnal QOSIM Jurnal Pendidikan Sosial & Humaniora, 1(1), 13–23. https://doi.org/10.61104/jq.v1i1.49

Turyadi, I. U., Johan, F., & Widyanto, D. (2021). Jurnal Teknologi dan Manajemen Informatika Analisa Dukungan Internet of Things ( IoT ) terhadap Peran Intelejen dalam Pengamanan Daerah Maritim Indonesia Wilayah Timur. Jurnal Teknologi Dan Manajemen Informatika, 7(1), 29–39.

Yanti, D., Darmiyati, I., Saputra, S., Mutaqim, A., Rezha, M., & Purnomo, F. B. (2025). Analisis Kualitas Tanah Perkebunan Menggunakan Sensor Multi-Parameter Berbasis IoT dan Python. JTE UNIBA, 10(1), 706–713.