PROTOTIPE KANOPI OTOMATIS BERBASIS IOT DENGAN MENGGUNAKAN METODE FUZZY LOGIC

FAWWAZ SAPUTRA, . (2026) PROTOTIPE KANOPI OTOMATIS BERBASIS IOT DENGAN MENGGUNAKAN METODE FUZZY LOGIC. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

	Text COVER.pdf Download (3MB)
	Text BAB I.pdf Download (1MB)
	Text BAB II.pdf Restricted to Registered users only Download (499kB) | Request a copy
	Text BAB III.pdf Restricted to Registered users only Download (454kB) | Request a copy
	Text BAB IV.pdf Restricted to Registered users only Download (4MB) | Request a copy
	Text BAB V.pdf Restricted to Registered users only Download (623kB) | Request a copy
	Text DAFTAR PUSTAKA.pdf Download (956kB)
	Text LAMPIRAN.pdf Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Kanopi merupakan bagian bangunan yang berfungsi melindungi area tertentu dari paparan sinar matahari dan hujan. Pengoperasian kanopi secara manual dinilai kurang efektif karena memerlukan intervensi pengguna setiap terjadi perubahan kondisi cuaca. Penelitian ini bertujuan merancang dan membangun prototipe kanopi otomatis berbasis Internet of Things (IoT) menggunakan metode Fuzzy Logic Mamdani sebagai sistem pengambilan keputusan. Sistem menggunakan sensor suhu SHT31, sensor cahaya BH1750, dan sensor hujan HL-83 sebagai masukan dengan ESP8266 sebagai pengendali utama. Aktuator berupa motor DC GM25-370 dikendalikan menggunakan driver BTS7960 dan dilengkapi limit switch, sedangkan monitoring dan kontrol dilakukan melalui platform ThingsBoard. Metode penelitian meliputi perancangan perangkat keras dan perangkat lunak, implementasi Fuzzy Logic Mamdani, serta pengujian sensor, aktuator, monitoring IoT, dan sistem secara keseluruhan. Hasil penelitian menunjukkan bahwa sensor SHT31 memiliki rata-rata persentase error sebesar 0,12%, sensor BH1750 sebesar 16,70%, sedangkan sensor hujan HL-83 mampu mendeteksi kondisi tidak hujan, gerimis, dan hujan sesuai rentang yang telah ditentukan. Pengujian metode Fuzzy Logic Mamdani menghasilkan rata-rata selisih keluaran sebesar 0,19 antara hasil simulasi MATLAB dan implementasi pada ESP8266, sehingga menunjukkan bahwa implementasi algoritma telah sesuai dengan model yang dirancang pada MATLAB. Sistem monitoring berbasis IoT berhasil menampilkan seluruh parameter secara real-time pada dashboard ThingsBoard, sedangkan pengujian sistem secara keseluruhan menunjukkan tingkat keberhasilan sebesar 100% pada sepuluh skenario pengujian. Berdasarkan hasil tersebut, prototipe kanopi otomatis berbasis Internet of Things (IoT) dengan metode Fuzzy Logic Mamdani berhasil diimplementasikan dan layak digunakan sebagai prototipe sistem otomatisasi kanopi sesuai tujuan penelitian. ***** A canopy is a building component that protects a specific area from sunlight and rain. Manual canopy operation is considered ineffective because it requires user intervention whenever weather conditions change. This research aims to design and build an Internet of Things (IoT)-based automated canopy prototype using the Mamdani Fuzzy Logic method as a decision-making system. The system uses an SHT31 temperature sensor, a BH1750 light sensor, and an HL-83 rain sensor as input, with the ESP8266 as the main controller. The actuator, a GM25-370 DC motor, is controlled by a BTS7960 driver and equipped with a limit switch, while monitoring and control are carried out through the ThingsBoard platform. The research methods include hardware and software design, implementation of Mamdani Fuzzy Logic, and testing of sensors, actuators, IoT monitoring, and the overall system. The results of the study showed that the SHT31 sensor had an average error percentage of 0.12%, the BH1750 sensor was 16.70%, while the HL-83 rain sensor was able to detect no rain, drizzle, and rain conditions within a predetermined range. The Mamdani Fuzzy Logic method test produced an average output difference of 0.19 between the MATLAB simulation results and the implementation on ESP8266, thus indicating that the algorithm implementation was in accordance with the model designed in MATLAB. The IoT-based monitoring system successfully displayed all parameters in real-time on the ThingsBoard dashboard, while the overall system testing showed a success rate of 100% in ten test scenarios. Based on these results, the prototype of an automatic canopy based on the Internet of Things (IoT) with the Mamdani Fuzzy Logic method was successfully implemented and is suitable for use as a prototype canopy automation system according to the research objectives.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Ir. Heri Firmansyah, S.T., M.T. ; 2). Nur Hanifah Yuninda, S.T., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika Teknologi dan Ilmu Terapan > Teknik Komputer
Divisions:	FT > D IV Teknologi Rekayasa Otomasi
Depositing User:	Fawwaz Saputra .
Date Deposited:	12 Aug 2026 02:30
Last Modified:	12 Aug 2026 02:30
URI:	http://repository.unj.ac.id/id/eprint/69493

Actions (login required)

View Item