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Sistem Keamanan Pintu Berbasis Pengenalan Wajah Menggunakan Metode Fisherface Bekti Maryuni Susanto; Fendik Eko Purnomo; M. Faiq Ilman Fahmi
Jurnal Ilmiah Inovasi Vol 17 No 1 (2017): April
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jii.v17i1.464

Abstract

  Crime is one of the classic problems faced big city. One type of crime that is rampant today is theft. Many thieves go home using a duplicate key or use a special way to unlock the door. Therefore we need a tool that is able to anticipate the occurrence of theft, a system that uses a special key. Key that only identical by the owner of the house, one of which is the face. In this final project created a door security system using facial recognition as a key to opening the door. The method used in this tool is the method fisherface. The primary step in the introduction of this face, that face detection, PCA calculation, calculation of FLD. The security system consists of three main parts: a webcam, microcontroller arduino uno, and laptops as database storage. Image of the user's face will be taken by using a webcam. Captured images are stored in the laptop database and matched with the existing database. The results will feed into the microcontroller arduino whether the door is open or locked. Keywords: Door Security, Fisherface, Arduino
Smart Control and Monitoring System for Closed Poultry House based on IoT Surateno Surateno; Syamsiar Kautsar; Risse Entikaria Rachmanita; Aan Anwaludin; M. Adhiyatma; Rosa Tri Hertawamati; Budi Hariono; Fendik Eko Purnomo; Sryang Tera Sarena
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7079

Abstract

The application of technology in the livestock sector has been carried out to increase the productivity of the livestock business. Closed chicken coops are one of the applications of technology in the livestock sector by utilizing a microcontroller that can control the temperature and ammonia levels in the coop under optimal conditions for fattening chickens. When the temperature rises (hot), the system set on the microcontroller will make the fan turn on automatically. This study aims to improve the offline and semi-manual fan control system in closed chicken coops to become automatic. By utilizing Internet of Things (IoT)-based technology, monitoring the condition of the chicken coop can be more easily accessed remotely. The method uses the if-then rule to regulate fan performance based on variable temperature and ammonia levels. The fan work set-point value can be set through the Android application online. Based on the test results, the IoT system treatment can work well. A consumer satisfaction survey was conducted on breeders with satisfactory results to ensure their feasibility as a commercial product.