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Journal : Jurnal Quancom: Jurnal Quantum Komputer

Sistem Keamanan Penghuni Apartemen Menggunakan Computer Vision Dan Raspberry Pi Pritami Sergio; Zainul Munir
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 1 No. 2 (2023): Desember 2023
Publisher : LPPM-ITEBA

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Abstract

This research aims to design and implement a security system for apartments that combines computer vision technology with notifications via the Telegram application. This system is based on the Raspberry Pi 3 Model B+ to detect the face of a person in front of the door via a connected camera, and sends notifications to residents via Telegram messages. Thus, this system effectively and automatically increases the level of security and provides residents with real-time access to information about the ongoing security situation in their apartments. This research explains the technical implementation of this system and its potential to increase the sense of security of apartment residents. Test results for familiar faces have an accuracy rate of 96% and for unfamiliar faces they have an accuracy rate of 96%.
Sistem Monitoring Daya Listrik Berbasis Internet of Things Menggunakan Aplikasi Blynk Rifa; Risky Sandiari; Joni Eka Candra; Zainul Munir
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 1 (2024): Juni 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i1.329

Abstract

This research aims to design and implement a monitoring system that allows the measurement of voltage, current, and power using electronic devices, particularly NodeMCU and PZEM004T current sensor, along with the Blynk application as the user interface. The development method used is the waterfall method, involving stages of analysis, design, implementation, testing, and evaluation.This monitoring system is designed to measure voltage, current, and power for various electronic devices at home or in the surrounding environment. However, the measurement results obtained show errors, especially in current measurement. The current measurement results have a significant error rate, which can affect the accuracy of power calculations. The error testing results for the voltage sensor are 3W lamp (0.171%), 10W lamp (0.343%), and the overall average voltage sensor error is 0.410%, the average errors for the current sensor are (92%), power (1.57%), and the total cost of electricity that will be paid for a month is (Rp.89,232)..