%0 Thesis
%9 Skripsi
%A Rifai Slamet, NIM.: 16620017
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2020
%F digilib:43257
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K Intruder detection device, Camera, Raspberry Pi, OpenCV
%P 100
%T RANCANG BANGUN DAN PENGUJIAN ALAT DETEKSI   PENYUSUP MENGGUNAKAN KAMERA, RASPBERRY PI 4   MODEL B, DAN OPENCV 4
%U https://digilib.uin-suka.ac.id/id/eprint/43257/
%X This research was motivated by the absence of an intruder detection device capable of processing  images using OpenCV 4. This study aimed to design, manufacture and test an intruder detection  device using a camera, Raspberry Pi 4 Model B, and OpenCV 4. This research was conducted in 3  stages, namely designing, manufacturing and testing intruder detection device. The design of the  device was carried out using the Sketchup 2018 software. The making of this device was carried out  in 3 processes, namely making hardware, making dataset, and making software. The testing of the  intruder detection device includes monitoring and detection testing. Monitoring testing was done by  giving monitoring commands to telegram bot, while detection testing was done by giving detection  commands to telegram bot. In detection testing was done by varying the intensity of light, distance  and angle of the object to the intruder detection device. The test results show that the accuracy of  monitoring the intruder detection device is 100%, while the detection accuracy is 99.722% in the  light and 98.055% in the dark.
%Z Pembimbing : 1. Frida Agung Rakhmadi, M.Sc;  2. Lukman Awaludin S.Si.,M.Cs