TY  - THES
N1  - Pembimbing : 1. Frida Agung Rakhmadi, M.Sc;  2. Lukman Awaludin S.Si.,M.Cs
ID  - digilib43257
UR  - https://digilib.uin-suka.ac.id/id/eprint/43257/
A1  - Rifai Slamet, NIM.: 16620017
Y1  - 2020/12/18/
N2  - 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.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Intruder detection device
KW  -  Camera
KW  -  Raspberry Pi
KW  -  OpenCV
M1  - skripsi
TI  - RANCANG BANGUN DAN PENGUJIAN ALAT DETEKSI 
PENYUSUP MENGGUNAKAN KAMERA, RASPBERRY PI 4 
MODEL B, DAN OPENCV 4
AV  - restricted
EP  - 100
ER  -