METODE FUZZY TSUKAMOTO UNTUK DETEKSI DINI KEBOCORAN GAS LPG BERBASIS WEB DI PANGKALAN LPG 3 KG LILI HAMBALI

Perkembangan teknologi telah mengakibatkan peningkatan permintaan akan sumber daya alam dan energi, terutama LPG (Liquid Petroleum Gas), yang digunakan secara luas dalam kehidupan sehari-hari. Namun, penggunaan LPG juga membawa risiko kecelakaan, terutama kebakaran akibat kebocoran gas. Kebocoran gas LPG dapat sulit dideteksi secara manual, sedangkan kasus kebakaran akibat gas LPG masih cukup sering terjadi. Oleh karena itu, pencegahan kebocoran gas menjadi sangat penting. Penelitian ini bertujuan mengatasi permasalahan tersebut dengan mengembangkan sebuah sistem deteksi kebocoran gas LPG berbasis metode Fuzzy Logic Tsukamoto. Sistem ini dirancang menggunakan NodeMCU ESP8266 sebagai otak dari sistem, sensor MQ-6 untuk mendeteksi kebocoran gas, sensor DHT22 untuk mendeteksi suhu, LCD untuk menampilkan kadar gas dan menampilkan kondisi, serta Web untuk menampilkan informasi kadar gas dan suhu yang dapat diakses melalui ponsel. Penelitian ini berhasil merancang sistem pendeteksi dini kebocoran gas dengan metode fuzzy logic tsukamoto, tetapi terdapat selisih nilai 0.62 lebih kecil pada alat setelah dilakukan perbandingan dengan menguji secara manual, perbedaan ini disebabkan karena pembulatan angka.
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Technological developments have resulted in an increase in demand for natural resources and energy, especially LPG (Liquid Petroleum Gas), which is widely used in everyday life. However, the use of LPG also carries the risk of accidents, especially fires due to gas leaks. LPG gas leaks can be difficult to detect manually, while the cases of fires caused by LPG are still quite common. Therefore, preventing gas leaks is very important. This research aims to overcome this problem by developing an LPG gas leak detection system based on the Tsukamoto Fuzzy Logic method. This system is designed using NodeMCU ESP8266 as the brain of the system, MQ-6 sensor to detect gas leaks, DHT22 sensor to detect temperature, LCD to display gas levels and display conditions and the Web to display gas level and temperature information which can be accessed via cellphone. This research was successful in designing an early detection system for gas leaks using the Tsukamoto fuzzy logic method, but there was a difference in the value of 0.62 smaller in the tool after a comparison was carried out by testing manually, this difference was caused by rounding the numbers.