Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Electron: Jurnal Ilmiah Teknik Elektro
Indrayanto, Ricki
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Prototipe Sistem Keamanan Buka Pintu dan Jendela Menggunakan Aplikasi Telegram Tiffany, Nivika; Bakti Zainal, Yuda; Indrayanto, Ricki; Charisma, Atik; Haz, Fauzia
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 5 No 2: Jurnal Electron, November 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v5i2.216

Abstract

Crimes such as theft and housebreaking are serious problems related to security. This problem often occurs when the homeowner is out of town or leaving the house for a few days. Therefore, an effective security system is needed so that the house is not easily broken into and can be monitored via smartphone by the owner. To minimize the crime rate, we designed a microcontroller-based automatic door lock. This automatic system can control the solenoid door lock and function as a home security. This study aims to develop a door lock and window security system based on a microcontroller and the Internet of Things. This system utilizes RFID to open the door which is processed by Arduino, as well as a PIR Sensor for double security which is processed using NodeMCU ESP8266. The smartphone functions as a medium for monitoring and opening the door. The NodeMCU ESP8266 microcontroller on the PIR Sensor is tasked with processing data so that when the sensor detects movement, the buzzer will sound and send a notification to the smartphone. The results of the study show that the automatic door lock can be accessed via RFID and applications on smartphones. The system can detect RFID at a distance of 3 cm with a response time of 2-5 seconds, and successfully detects movement in humans and animals with an accuracy rate of 86.67%.
Co-Authors Bakti Zainal, Yuda Charisma, Atik Haz, Fauzia Tiffany, Nivika