RANCANG BANGUN SISTEM KONTROL DAN MONITORING KUALITAS UDARA RUANGAN DENGAN METODE FUZZY LOGIC MENGGUNAKAN PROTOKOL BACNET UNTUK IMPLEMENTASI BUILDING MANAGEMENT SYSTEM

IBNU MULYASANA SURYADI, . (2026) RANCANG BANGUN SISTEM KONTROL DAN MONITORING KUALITAS UDARA RUANGAN DENGAN METODE FUZZY LOGIC MENGGUNAKAN PROTOKOL BACNET UNTUK IMPLEMENTASI BUILDING MANAGEMENT SYSTEM. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan untuk merancang, membangun, dan menguji sistem monitoring dan pengendalian kualitas udara dalam ruangan menggunakan metode Fuzzy Logic Mamdani dengan protokol BACnet/IP untuk implementasi Building Management System (BMS). Sistem memanfaatkan sensor MQ-135 untuk mengestimasi konsentrasi CO₂ dan sensor GP2Y1010AU0F untuk mengukur konsentrasi partikulat PM2.5 secara real-time. Data dari kedua sensor diproses oleh mikrokontroler ESP32 menggunakan metode Fuzzy Logic Mamdani untuk menentukan kecepatan exhaust fan secara otomatis melalui pengaturan AC dimmer. Seluruh data monitoring, keluaran fuzzy, dan status exhaust fan dikirim menggunakan protokol BACnet/IP melalui jaringan Wi-Fi dan ditampilkan pada antarmuka FUXA sehingga dapat dipantau secara real-time sebagai bagian dari Building Management System. Hasil pengujian menunjukkan bahwa sensor MQ 135 memiliki nilai error sebesar 2,11%, sedangkan sensor GP2Y1010AU0F memiliki nilai error sebesar 3,52%. Hasil validasi implementasi Fuzzy Logic Mamdani menunjukkan rata-rata galat sebesar 0,45% dibandingkan hasil simulasi MATLAB, sehingga algoritma yang diimplementasikan pada ESP32 telah sesuai dengan rancangan. Pengujian komunikasi BACnet/IP menunjukkan tingkat keberhasilan pengiriman data sebesar 100%. Selain itu, hasil pengujian menunjukkan bahwa penggunaan exhaust fan memberikan pengaruh yang signifikan terhadap penurunan estimasi konsentrasi CO₂ dan konsentrasi PM2.5 dibandingkan kondisi tanpa exhaust fan, serta sistem mampu merespons perubahan kualitas udara dengan mengatur kecepatan exhaust fan secara otomatis. Dengan demikian, sistem yang dikembangkan berhasil mengintegrasikan monitoring kualitas udara, pengendalian berbasis Fuzzy Logic Mamdani, dan komunikasi BACnet/IP sehingga dapat mendukung implementasi Building Management System. ***** This study aims to design, develop, and evaluate an indoor air quality monitoring and control system based on the Mamdani Fuzzy Logic method and the BACnet/IP protocol for Building Management System (BMS) implementation. The system utilizes an MQ-135 sensor to estimate CO₂ concentration and a GP2Y1010AU0F sensor to measure PM2.5 particulate concentration in real time. Data acquired from both sensors are processed by an ESP32 microcontroller using the Mamdani Fuzzy Logic method to automatically determine the exhaust fan speed through AC dimmer control. All monitoring data, fuzzy inference outputs, and exhaust fan status are transmitted via the BACnet/IP protocol over a Wi-Fi network and displayed on the FUXA interface, enabling real-time monitoring as part of a Building Management System. The experimental results show that the MQ-135 sensor achieved an error rate of 2.11%, while the GP2Y1010AU0F sensor achieved an error rate of 3.52%. Validation of the Mamdani Fuzzy Logic implementation yielded an average error of 0.45% compared with MATLAB simulation results, indicating that the algorithm implemented on the ESP32 is consistent with the designed fuzzy model. BACnet/IP communication testing demonstrated a 100% data transmission success rate. Furthermore, the results indicate that the use of the exhaust fan significantly reduced the estimated CO₂ concentration and PM2.5 concentration compared with conditions without the exhaust fan. The system was also capable of responding to changes in indoor air quality by automatically adjusting the exhaust fan speed. Therefore, the developed system successfully integrates indoor air quality monitoring, Mamdani Fuzzy Logic-based control, and BACnet/IP communication, thereby supporting the implementation of a Building Management System.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Ir. Heri Firmansyah, M.T. ; 2). Rizk Pratama Putra, S.T., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > D IV Teknologi Rekayasa Otomasi
Depositing User:	Ibnu Mulyasana Suryadi .
Date Deposited:	18 Aug 2026 08:05
Last Modified:	18 Aug 2026 08:05
URI:	http://repository.unj.ac.id/id/eprint/71571

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