| dc.identifier.citation | Government, I., 2009, Law of The Republic of Indonesia Number 36 Year 2009 Concerning Health, Indonesian Government, Jakarta Kaur, N., 2016, “Air Quality Monitoring System based on Arduino Microcontroller”, International Journal of Innovative Research in Science, Engineering and Technology, hh. 1-12. Sandi, I.N., 2017, “Pengaruh Kelembaban Relatif Terhadap Perubahan Suhu Tubuh Latihan” Sport and Fitness Journal, hh. 103-109. K, D.S., 2012, Analisis Konsekuensi Dispersi Gas, Kebakaran, dan Ledakan Akibat Kebocoran Tabung LPG 12 KG Di Kelurahan Manggarai Selatan Tahun 2012 Dengan Menggunakan Breeze Incident Analyst Software, Universitas Indonesia, Depok. Sari, A.C., 2015, Developing Information System of Attendance and Facebook Status for Binus University’s Lecturer Using Raspberry Pi Architecture, International Conference on Computer Science and Computational Intelligence, hh. 1-10. Yendri, D., 2017, Perancangan Sistem Pendeteksi Kenakaran RumahPenduduk Pada Daerah Perkotaan Berbasis Mikrokontroller. Splewak, A., 2015, A Mobile Gas Detector with an Arduino Microcontroller, Wojciech SALABUN et al, Int.J.Computer Technology & Applications, hh. 636-641. Mudjanarko, S.W., 2017, Pemanfaatan Internet of Things (IOT) Sebagai Solusi Manejemen Transportasi Kendaraan Sepeda Motor, Prosiding Seminar Nasional Aplikasi Teknologi Prasarana Wilayah X (ATPW), Institut Teknologi Sepuluh Nopember Surabaya, Surabaya. Sulaiman, O. K., 2017, Sistem Internet Of Things (IOT) Berbasis Cloud Computing Dalam Campus Area Network. Mudjahidin, 2012, Rancang Bangun Sistem Informasi Monitoring Perkembangan Proyek Berbasis Web Studi Kasus di Dinas Bina Marga dan Pemantusan. | id_ID |
| dc.description.abstract | Each production line is required to comply with occupational health regulations. But in reality
many companies do not comply with these regulations because there are no tools available at
the market at low prices. This paper presents an investigation of the health monitoring system
framework for production lines on IR 4.0, and proposes a cost-based and system-wide
framework. The framework of the paper consists of raspberry pi 3 as the main module of IoT
processing, and there are 3 sensors such as DHT11, MQ5, and MQ9. The DHT11 sensor is used
to detect temperature and humidity, the MQ5 sensor is used to detect Liquified Petroleum Gas
(LPG), and the MQ9 Sensor is used to detect carbon monoxide (CO). The method used in this
paper is to look for literature studies, then collect component data, then select components based
on literature studies. Then form components into several frameworks, which are then selected
as the best framework. Finally, arrange, run and test the system. | id_ID |
