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All Journal Journal of Computer Science and Informatics Engineering (J-Cosine)
Ariyan Zubaidi
Dept Informatics Engineering, University of Mataram
Computer Science & IT

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Social Distancing Violations Detection Using Iot-Based Raspberry Pi Camera Muhammad Ilham Maulana; I Gede Putu Wirarama Wedashwara; Ariyan Zubaidi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 6 No 1 (2022): June 2022
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v6i1.417

Abstract

Social distancing is one of the methods used to keep yourself and others safe during a pandemic and prevent the transmission of Covid-19. With social distancing, the spread of Covid-19 can be minimized. By utilizing two tools, namely the Raspberry Pi to classify using the haar cascade classifier algorithm from data obtained from the pi camera module as a visual raspberry pi used to detect a person's body. Raspberry pi camera will start detecting using crontab unit time. If the Raspberry Pi camera detects a person who is less than one meter away, that person is said to have violated social restrictions and vice versa, the data will be stored on the Raspberry Pi which also becomes a web server. The website is used as a system user interface, Raspberry Pi camera communication uses the machine to machine (M2M) protocol which is applied to a website-based application.
A Design of Early Fire Detection System In Tobacco Oven Based on Internet of Things (Case Study: East Landah Praya Village) Chairuman Fadhilah; Ariyan Zubaidi; Ahmad Zafrullah Mardiansyah
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 7 No 1 (2023): June 2023
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v7i1.473

Abstract

A tobacco oven is a building measuring 4.5 x 4.5 meters that are used to bake freshly harvested tobacco leaves and can accommodate up to 5-7 shelves. The oven building is equipped with 2 bottom vents and 2 top vents that function as temperature and humidity regulators by opening or closing the vents. Tobacco oven techniques in Lombok itself can not be said to be safe, it is proven that fires in tobacco ovens often occur lately. One of the causes of tobacco oven fires is due to the presence of tobacco leaves that fall into the furnace so that the fire quickly grabs the tobacco in a semi-dry state, in addition, due to the lack of use of safety equipment above the ignition furnace, the fallen dried tobacco leaves can immediately burn. Based on these problems, research entitled "Design of Fire Early Detection System in Tobacco Oven Based on Internet Of Things was made (Case Study: East Landah Praya Village)". The system built shows the ability of the infrared fire sensor to detect the presence of fire up to 77.7% at a large fire intensity, the MQ-135 smoke sensor is set at more than 3 ppm as an indication of a fire and the DHT22 temperature sensor shows 1.5% error after comparison with a thermometer. in a tobacco oven.
Co-Authors Ahmad Zafrullah Mardiansyah Chairuman Fadhilah I Gede Putu Wirarama Wedashwara Muhammad Ilham Maulana