{"title":"Sistem Peringatan Dini Kebocoran Gas LPG Menggunakan ESP8266 dan API Telegram dengan Metode Fuzzy","authors":"Dilan Allya Barqi, Mardi Siswo Utomo, Eddy Nurraharjo, Zuly Budiarso","doi":"10.33365/jti.v16i2.1762","DOIUrl":null,"url":null,"abstract":"LPG gas consist of propane compound and butane which is very dangerous if a leak occuring in a closed room with a temperature above 30°C. To avoid fatal incidents in the LPG gas leak event, a system that can provide early warnings against LPG gas leaks is needed. The early warning system implementation in this study uses the ESP8266 hardware as a sensor controller and Telegram API to deliver warning messages to the user Telegram account. ESP8266 was chosen because it has a SoC (System on Chip) that allows it to connect to internet network without additional hardware. ESP8266 was used to processing received input using the fuzzy Sugeno algorithm and using Telegram API to send warning notifications to users. Another important component that used are MQ6 sensor, DHT11 sensor, buzzer, relay and exhaust fan. The result of field testing for the system is that it can work well in several parameter environments. This System can detect all gas leak simulations in each test and successfully sends a warning message to the user","PeriodicalId":344455,"journal":{"name":"Jurnal Teknoinfo","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknoinfo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33365/jti.v16i2.1762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
LPG gas consist of propane compound and butane which is very dangerous if a leak occuring in a closed room with a temperature above 30°C. To avoid fatal incidents in the LPG gas leak event, a system that can provide early warnings against LPG gas leaks is needed. The early warning system implementation in this study uses the ESP8266 hardware as a sensor controller and Telegram API to deliver warning messages to the user Telegram account. ESP8266 was chosen because it has a SoC (System on Chip) that allows it to connect to internet network without additional hardware. ESP8266 was used to processing received input using the fuzzy Sugeno algorithm and using Telegram API to send warning notifications to users. Another important component that used are MQ6 sensor, DHT11 sensor, buzzer, relay and exhaust fan. The result of field testing for the system is that it can work well in several parameter environments. This System can detect all gas leak simulations in each test and successfully sends a warning message to the user