Design and Implementation of an Air Pollution Monitoring System in the Campus Area of Politeknik Negeri Lhokseumawe

Indrawati Indrawati, Amir D

Sari


Air pollution is a significant environmental issue that directly affects human health, especially in high-activity areas such as university campuses. This study aims to design and implement a real-time air pollution monitoring system in the campus area of Politeknik Negeri Lhokseumawe. The system utilizes MQ135 and MQ7 gas sensors to detect CO₂ and CO levels in both indoor and outdoor environments. Sensor data are processed using a microcontroller and displayed through a web-based application interface to facilitate user-friendly monitoring. System testing was conducted by recording sensor readings in various environmental conditions over specific time intervals. The test results show that the system can distinguish pollution levels between indoor and outdoor settings and provides data that are relatively stable and responsive to changes in air quality. The implementation of this system is expected to support the campus in monitoring and managing air quality effectively. The normal indoor CO₂ level is 400–800 ppm while the MQ135 shows 325, which means the monitoring system is acceptable and reasonable. For CO . the normal condition is <10 ppm, but the analog MQ7 can show relative values; if it goes up and down according to the trend, it can be accepted as a relative indicator.

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Referensi


N. A. Z. Putri, “Sistem Pendeteksi Kualitas Udara Dalam Ruangan Berbasis Internet of Things (IoT),†vol. 5, no. 1, pp. 9–17, 2024.

Rosatul Umah and Eva Gusmira, “Dampak Pencemaran Udara terhadap Kesehatan Masyarakat di Perkotaan,†Profit J. Manajemen, Bisnis dan Akunt., vol. 3, no. 3, pp. 103–112, 2024, Doi: 10.58192/Profit.V3i3.2246.

M. I. Majiid And A. F. Assomadi, “Rancang Bangun Alat Pemantau Kualitas Udara Dengan Pemanfaatan Iot (Internet Of Things) Berbasis Mikrokontroler Menggunakan Sensor Mq-135 Dan Mq-136 Pada Wilayah Kabupaten Ponorogo (Parameter Co2 Dan So2),†J. Purifikasi, vol. 22, no. 1, pp. 12–19, 2023, doi: 10.12962/j25983806.v22.i1.444.

F. Tahir, W. Ridwan, and I. Z. Nasibu, “Monitor Kualitas Udara Berbasis Web Menggunakan Raspberry Pi dan Modul Wemos D1,†J. Tek., vol. 18, no. 1, pp. 35–44, 2020, doi: 10.37031/jt.v18i1.57.

A. J. Taufiq et al., “Sistem Monitoring Polusi Udara Berbasis Sensor Mq- 135 Untuk Deteksi Gas Co 2 Dan Co : Studi Kasus Di,†vol. 25, no. 2, pp. 131–138, 2024.

A. A. Rosa, B. A. Simon, and K. S. Lieanto, “Sistem Pendeteksi Pencemaran Udara Portabel Menggunakan Sensor MQ-7 dan MQ-135,†Ultim. Comput. J. Sist. Komput., vol. 12, no. 1, pp. 23–28, 2020, doi: 10.31937/sk.v12i1.1611.

D. Diel. B.H Fajri and P. Samuel , “Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Internet of Things (IoT) Menggunakan Thingspeak dan Website,†vol. 4, no. 1, pp. 88–100, 2023.

Y. C. Nugroho, A. A. Mahardiko, S. S. Dhelia, A. Nuraini, and P. Harsadi, “Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Arduino Untuk Mendeteksi Polusi Udara Di Perkotaan,†TIKomSiN, vol. 11, no. 2, pp. 45–52, 2023.

Z. Helman, “Prototype Sistem Pemantau Kualitas Udara Berbasis Raspberry Pi,†Spektral, vol. 2, no. 2, pp. 58–63, 2021, doi: 10.32722/spektral.v2i2.4127.

H. Budianto and B. Sumanto, “Perancangan Sistem Monitoring Kualitas Udara dalam Ruangan Berbasis Internet of Things,†J. List. Instrumentasi, dan Elektron. Terap., vol. 5, no. 1, p. 9, 2024, doi: 10.22146/juliet.v5i1.87423.

G. . C. . Rumampuk, V. . C. . Poekoel, and A. . M. Rumagit, “Internet of Things-Based Indoor Air Quality Monitoring System Design Perancangan Sistem Monitoring Kualitas Udara Dalam Ruangan Berbasis Internet of Things,†J. Tek. Inform., vol. 17, no. Internet of Things-Based Indoor Air Quality Monitoring System Design Perancangan Sistem Monitoring Kualitas Udara Dalam Ruangan Berbasis Internet of Things, pp. 11–18, 2021, [Online]. Available: https://ejournal.unsrat.ac.id/index.php/informatika/article/view/34212

A. Miranto and E. Reynaldi, “Perancangan Dan Implementasi Antarmuka Pengguna Sistem Pemantauan Kualitas Udara Berbasis Aplikasi Android,†Cybersp. J. Pendidik. Teknol. Inf., vol. 7, no. 1, p. 46, 2023, doi: 10.22373/cj.v7i1.17491.




DOI: http://dx.doi.org/10.30811/jaise.v5i2.7306

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