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Journal : Majalah Ilmiah Teknologi Elektro

Advanced Fire & Gas Safety Control Berbasis IoT I Kadek Cahyadi Arta; I Komang Agus Hari Anggara; Andrian Febriyanto; I Made Budiada; I Nyoman Sukarma; Anak Agung Ngurah Gde Sapteka
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P04

Abstract

Fire & gas safety control is a control system to secure a room / building from the danger of gas leakage or fire. In the current era, the development of building architecture requires us to always innovate in maintaining the safety of the occupants or the building itself. This research makes an Advance Fire & Gas Safety Control tool which aims to minimize false alarms, especially regarding steam. Smoke and steam can be distinguished by the level of humidity. Smoke, which is particulate matter, has a very low humidity level, while steam has a very high humidity level. This research implements NodeMCU ESP8266, MQ-2 Sensor, DHT11 Sensor, Fire Sensor, Buzzer, Firebase and Kodular, to detect fires, steam and gas leaks.
Pendeteksi Penggunaan Masker Wajah dengan ESP32Cam Menggunakan OpenCV dan Tensorflow Putu Adhitya Santika Dharma; Komang Agus Widyatmika; I Nengah Suparta; I Made Sumerta Yasa; Anak Agung Ngurah Gde Sapteka
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P01

Abstract

The government's recommendation to wear masks daily is very important to avoid the Covid-19. This article analyzes the use of the ESP32 Cam as a mask detector, where proper use must cover the nose and mouth. The captured images can be retrieved and executed by a program created using Python. The OpenCV library is used to access the camera, while the TensorFlow library with training files in the datasheet performs mask detection. The experimental results of detecting masks in bright conditions show the fastest time is 1 second with an ideal distance of 1m and a maximum distance of 2.5m. On the other hand, in dark conditions, the fastest time is 2 seconds with an ideal distance of 1m and a maximum distance of 1.5m.
Co-Authors Anak Agung Ngurah Made Narottama Anak Agung Ngurah Made Narottama Andrian Febriyanto Arbiansyah Surya Lesmana Arief Udhiarto Daniel Moraru Dewa Gede Agung Padmanaba Pemayun Djoko Hartanto Harry Sudibyo Hoang Nhat Tan, Hoang Nhat I B K Sugirianta I Dewa Gede Dodi Pranata I G Lanang Suta A I Gde Nyoman Sangka I Gede Galang Wididana I Gede Ketut Sri Budarsa I Gede Made Putra Suardana I Gede Nyoman Sangka I Gede Nyoman Satya Pradnyana Putra Waisnawa I Gede Suputra Widharma I Gusti Alit Wiraguna Jaya I Gusti Ngurah Wirahadi Wijaya I Gusti Putu Mastawan Eka Putra I Kadek Cahyadi Arta I Ketut Darminta I Ketut Darminta I Ketut Parti I Komang Agus Hari Anggara I Made Adi Yasa I Made Adiswara Wirama I Made Aris Dharma Putra I Made Budiada I Made Purbawa I Made Sumerta Yasa I Made Weda Maharta Putra I Nym Sugiarta I Nyoman Sukarma I Putu Adhi Satria I Putu Ardi Wahyu Widyatmika I Wayan Dimas Ariawan I Wayan Krisma Kartika I Wayan Raka Ardana I Wayan Suasnawa I Wayan Wahyu Adi Prastya Ida Bagus Irawan Purnama Ida Bagus Ketut Sugirianta Ida Bagus Made Harisanjaya Adi Nugraha Kadek Amerta Yasa Kadek Dwitya Widnyana Kadek Yogi Premana Putra Komang Agus Widyatmika Lesmana, Arbiansyah Surya Made Aditya Arya Pradnyana Made Ary Wiradhi Putra Made Bagus Astika Yasa Michiharu Tabe Narottama, Anak Agung Ngurah Made Ni Putu Ayu Widyanata Indrawati Nyoman Anom Dewa Brata Paramartha Prof. Dr.I Nengah Suparta,M.Si . Putu Adhitya Santika Dharma Ryousuke Unno, Ryousuke Sabril Prajudith Pangestu Sri Purwiyanti Suasnawa, I Wayan Sugiarta, I Nyoman Suratman Suratman Suratman Suratman Waisnawa, I Gede Nyoman Satya Pradnyana Putra Wijaya, I Gusti Ngurah Wirahadi