171 Adli, Arifin. Sistem Monitoring Gas… https://doi.org/10.35760/tr.2019.v24i3.2394 SISTEM MONITORING GAS CO PADA PARKIRAN BASEMENT MALL DI JAKARTA MENGGUNAKAN METODE REAL-TIME BERBASIS INTERNET OF THINGS (IoT) 1 Fikri Faisal Adli, 2 Ajib Setyo Arifin 1,2 Departemen Teknik Elektro, Fakultas Teknik, Universitas Indonesia Depok, Jawa Barat 1 fikri.faisal71@ui.ac.id, 2 ajib@eng.ui.ac.id Abstrak Kadar kualitas udara yang ada pada suatu daerah menjadikan tolak ukur keamanan dan kebersihan daerah tersebut. Begitu juga dengan area tertutup seperti parkiran basement. Persentase kadar gas yang terperangkap di parkiran basement jauh lebih tinggi dibandingkan tempat tertutup lainnya. Hal ini dikarenakan pada area tersebut terdapat aktivitas keluar masuk kendaraan sehingga potensi terperangkapnya gas karbon monoksida (CO) yang berasal dari kendaraan sangat tinggi. Berdasarkan kondisi tersebut diperlukan untuk dibuat sistem monitoring kadar gas CO di area parkir. Pada penelitian ini, dibuat sistem monitoring kadar gas CO dengan metode real-time berbasis Internet of Things (IoT). Sensor gas yang dipakai adalah MQ-7 yang digabungkan dengan mikrokontroler Arduino Uno. Untuk jalur pengiriman data secara real-time digunakan WiFi modul ESP8266. Data yang telah diambil oleh sensor akan disimpan dalam ThingSpeak cloud melalui ESP8266. Berdasarkan hasil monitoring didapatkan nilai kadar gas CO parkiran basement cukup tinggi, yaitu dengan nilai rata-rata 15,52 ppm dan nilai tertinggi ada pada 17,27 ppm. Kata Kunci: basement, IoT, karbon monoksida, monitoring, real-time. Abstract Air quality index in an area is an index for reporting daily air quality for safety and cleanliness of the area, likewise with closed spaces such as basement parking. The percentage of gas trapped in the basement parking lot is much higher than in other enclosed places. It is because, in that area, there is an activity in and out of the vehicle so that the potential for trapping carbon monoxide (CO) gas coming from the vehicle is very high. Under these conditions, it is necessary to set up a CO gas content monitoring system in the parking area. In this study, the real-time method based on the Internet of Things (IoT) is used to create a CO gas content monitoring system. The gas sensor used is the MQ-7, that is combined with the Arduino Uno microcontroller. The WiFi module ESP8266 is used for the data transmission path in real-time. The researcher used ThingSpeak cloud via ESP8266 to store the data that has been taken by the sensor. Based on the monitoring results, the basement parking CO gas value is quite high, with an average value of 15.52 ppm, and the highest value is at 17.27 ppm. Keywords: basement, carbon monoxide, IoT, monitoring, real-time. brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by Gunadarma University: Ejournal UG