Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Telematics and Informatics

Application of HOG Algorithm for Automated Room Control System Nurris Dwi Setiyawan; Suryani Alifah; Bustanul Arifin
Journal of Telematics and Informatics Vol 5, No 1: March 2017
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (676.046 KB) | DOI: 10.12928/jti.v5i1.

Abstract

This study aims to develop a prototype of automated room control systems. The histograms of oriented gradients (HOG) algorithm is used to detect and count the people entering or coming out the room so that the use of electricity is more appropriate. The raspberry Pi microprocessor is used as a controller since it is efficient and can be expanded for monitoring over the web. The system testings show that the prototype can detect and count the number of incoming and outgoing people enough accurately with error rate of about 1.7%, while people entering or coming out the room not simultaneously, but can not detect and count accurately with error rate of about 43.3%, while two person walk close together through the door. Using the automated room control, the electronic equipments will be active when there are people in the room and the  temperature below 200C.
Flood Early Warning System Based on Firebase Platform and Internet of Things Nurhadiyono, Siswanto; Budisusila, Eka Nuryanto; Arifin, Bustanul
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Abstract

Floods are natural disasters that frequently occur and cause significant damage to human life, infrastructure, and the environment. This study designed and implemented a prototype of an early flood warning system based on the Internet of Things (IoT) integrated with Firebase Realtime Database. The system aimed to address the limitations of previous warning systems by providing more accurate information, faster response times, and easier accessibility. The prototype enabled real-time data access through a web-based application accessible via smartphones and was equipped with a DF Player module to deliver audio warnings. A scaled-down prototype (1:10) was tested using an ultrasonic sensor for water level measurement and a tipping bucket sensor for rainfall measurement. The results demonstrated 99% accuracy for water level measurements up to 200 mm, with a data response time of 1 second and text updates every 5 seconds. This system significantly improved the accuracy, update speed, information accessibility, and effectiveness of audio warnings.