Pengembangan Prototipe Sistem Pemantauan dan Pengendalian Kualitas Udara Rumah Hunian di Lingkungan Industri Berbasis IoT 120 61
DOI:
https://doi.org/10.26623/transformatika.v24i1.14338Kata Kunci:
Internet of Things, Zero-Order Fuzzy Sugeno, Automatic Control, Air Quality, Real-Time MonitoringAbstrak
Penurunan kualitas udara di dalam ruangan menjadi permasalahan penting terutama pada rumah hunian yang berada di lingkungan industri akibat paparan gas berbahaya dan partikel debu. Kondisi ini berpotensi menimbulkan gangguan kesehatan sehingga diperlukan sistem yang mampu melakukan pemantauan sekaligus pengendalian secara real-time. Kebaruan pada penelitian ini terletak pada integrasi sistem monitoring dan kontrol otomatis berbasis Internet of Things (IoT) menggunakan metode Fuzzy Sugeno. Tujuan penelitian ini adalah mengembangkan prototipe sistem yang mampu memantau dan mengendalikan kualitas udara secara otomatis pada rumah hunian di kawasan industri. Metode yang digunakan adalah pengembangan prototipe dengan memanfaatkan sensor MQ-135, GP2Y1010AU0F, dan DHT22 yang terhubung dengan mikrokontroler ESP32. Data diproses menggunakan metode Fuzzy Sugeno zero-order dan dikirim ke platform ThingSpeak untuk pemantauan real-time. Pengujian dilakukan selama periode tertentu dengan menghasilkan 88 data sampel. Hasil penelitian menunjukkan bahwa sistem mampu bekerja dengan baik dalam memantau dan mengendalikan kualitas udara. Distribusi kondisi udara terdiri dari 52,27% kategori baik, 45,45% sedang, dan 2,27% buruk. Sistem juga berhasil mengaktifkan aktuator secara otomatis sesuai kondisi udara serta mampu mengirim data secara stabil meskipun terjadi gangguan jaringan. Kesimpulannya, sistem yang dikembangkan mampu menjadi solusi pemantauan dan pengendalian kualitas udara secara real-time pada lingkungan hunian di sekitar kawasan industri.Unduhan
Referensi
García, L., Garcia-Sanchez, A. J., Asorey-Cacheda, R., Garcia-Haro, J., & Zúñiga-Cañón, C. L. Smart Air Quality Monitoring IoT-Based Infrastructure for Industrial Environments. Sensors, 22(23), 2022. https://doi.org/10.3390/s22239221
Isinkaralar, O., Rajfur, M., Isinkaralar, K., & Świsłowski, P. Contamination degree and health implications of indoor air pollution: Operating field measurements in market environments. Science of the Total Environment, 969, 178946, 2025. https://doi.org/10.1016/j.scitotenv.2025.178946
Kosta, A., Lili, I., & Xhina, E. Comparison and Evaluation of Air Quality Monitoring Methods Using IoT Devices. British Journal of Environmental Sciences, 12(3), 1–11, 2024. https://doi.org/10.37745/bjes.2013/vol12n3111
Ramadan, M. N. A., Ali, M. A. H., Khoo, S. Y., Alkhedher, M., & Alherbawi, M. Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment. Ecotoxicology and Environmental Safety, 283, 2024. https://doi.org/10.1016/j.ecoenv.2024.116856
Andrianto, R., Purnomo, N., & Irawan, Y. Application of Fuzzy Logic Mamdani in IoT-Based Air Quality Monitoring Systems. International Journal of Computer Science, 13(5), 7121–7133, 2024. https://doi.org/10.33022/ijcs.v13i5.4291
Afendy, J. Perancangan Sistem Monitoring dan Notifikasi Otomatis Kualitas Udara Ruang Kelas Berbasis Internet of Things (IoT). Antivirus, 20(1), 60–71, 2026. https://doi.org/10.35457/antivirus.v20i1.5313
Chiu, E., Simatupang, J. W., Hakiki, R., & Sidjabat, F. M. Prototype of Air Quality Sensor for Gas Pollutants Monitoring System in Industrial and Residential Estates. Jurnal Ilmiah Teknik Elektro, 17(1), 96–123, 2021. https://doi.org/10.25105/jetri.v17i1.9812
Blinova, T., Chauhan, S. S., Singla, T., Bansal, S., Mittal, A., & Yellanki, V. S. Performance Evaluation of IoT Sensors in Urban Air Quality Monitoring: Insights from the IoT Sensor Performance Test. BIO Web of Conferences, 86, 2024. https://doi.org/10.1051/bioconf/20248601088
Prasojo, F., Nugroho, A. K., & Heranurweni, S. Pengaruh Desain Modular Terhadap Stabilitas Suhu Dan Reduksi Kebisingan Pada Incu Analyzer. Jurnal Transformatika, 23(2), 155–163, 2025. https://doi.org/10.26623/transformatika.v23i2.12330
Múnera, D., Diana, V., Aguirre, J., & Gómez, N. G. IoT-based air quality monitoring systems for smart cities: A systematic mapping study. International Journal of Electrical and Computer Engineering, 11(4), 3470–3482, 2021. https://doi.org/10.11591/ijece.v11i4.pp3470-3482
Pendriadi, P., Meliala, S., Muthalib, M. A., & BIntoro, A. Studi Kadar Gas Amonia Menggunakan Sensor MQ135 Menggunakan Spreadsheet Berbasis Internet of Thing (IoT). Transmisi, 25(2), 75–84, 2023. https://doi.org/10.14710/transmisi.25.2.75-84
Tran, V. K., Thai, B. T., Pham, H., Nguyen, V. K., & Nguyen, V. K. A Proposed Approach to Utilizing ESP32 Microcontroller for Data Acquisition. Journal of Engineering and Technological Sciences, 56(4), 474–488, 2024. https://doi.org/10.5614/j.eng.technol.sci.2024.56.4.4
Choudhary, A., Saini, L., Ahmad, A., Banerjee, H., & Gazi, F. Design and Fabrication of an IoT based Air Purifier using HEPA Filter. Proceedings of the 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks, 2023. https://doi.org/10.1109/IEMECON56962.2023.10092366
Muarif, Sumaedi, A., & Mardiansyah. Monitoring Suhu Ruangan Server Jaringan Hotspot Berbasis Mikrokontroler NodeMCU ESP8266 Dengan ThingSpeak. Journal of Information and Computer, 2(1), 17–27, 2024. https://doi.org/10.32493/jicomisc.v2i1.38638
Suryatini, F., & Fauzandi, F. I. Implementasi Sistem Kontrol Irigasi Tetes Menggunakan Konsep IoT Berbasis Logika Fuzzy Takagi-Sugeno, 2024.
Nosa, F. T., Kurniasari, D., Amanto, A., & Warsono, W. Robusta London Coffee Price Forecasting Analysis Using Recurrent Neural Network–Long Short Term Memory (RNN–LSTM). Jurnal Transformatika, 20(2), 30–41. https://doi.org/10.26623/transformatika.v20i2.5482
Muammar, R. Penerapan Metode Exponential Moving Average (EMA) Sebagai Noise Reduction Untuk Pembacaan Sinyal Analog Pada Mikrokontroler. Journal of EEICT, 5(1), 2022. https://doi.org/10.31602/eeict.v5i1.6859
Achyar, A. T., Hidayati, R., & Sari, K. Sistem Klasifikasi Kualitas Udara dengan Integrasi, 11(2), 185–192, 2025. https://doi.org/10.26418/jp.v11i2.90728
Islamiyati, I. N., Krisdiawan, R. A., & Wahyuddin, A. Implementation of the Sugeno Fuzzy Algorithm for a Dynamic Scoring System in an Educational Game on Fraction and Decimal Operations. SISINFO, 7(2), 240–255, 2025. https://doi.org/10.37278/sisinfo.v7i2.1302
Panjaitan, R. F., Wirayuda, R., & Shaleh, K. Prediksi Produksi Air Minum dalam Kemasan Menggunakan Metode Fuzzy Sugeno Berdasarkan Permintaan Mingguan dan Stok Bahan Baku. Jurnal Riset Sistem Informasi dan Teknik Informatika, 3(6), 2025. https://doi.org/10.61132/merkurius.v3i6.1231
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2026 Sabila Marista Losya, Robby Kurniawan Budhi, Agus Prayitno

Artikel ini berlisensi Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Transformatika is licensed under a Creative Commons Attribution 4.0 International License.



