Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Quancom: Jurnal Quantum Komputer
M. Abrar Masril
Unknown Affiliation
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Quancom: Jurnal Quantum Komputer

 1 
Perancangan Smart Library Assistant Menggunakan Voice Recognition Module Jeremy Andika; Deosa Putra Caniago; M. Abrar Masril
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 2 (2024): Desember 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i2.410

Abstract

This study proposes the design of a Smart Library Assistant using a Voice Recognition Module to facilitate book search in libraries. Despite the availability of digital books, many people still prefer physical books, and libraries remain a vital source of knowledge and information. However, finding books in a library can be challenging, especially when dealing with large collections. To address this issue, the study explores the use of voice recognition technology to create a smart library assistant that can help users locate books efficiently. The system will utilize the DFRobot Gravity offline voice recognition module to identify book genres and execute custom commands for finding books, eliminating the need for an internet connection. The research indicates that the voice recognition module, equipped with a microphone sensitive to -28db and capable of handling a maximum sound pressure level of 120db, enables the smart library system to accurately hear command words. The use of offline voice recognition modules, such as the DFRobot Gravity, can effectively simplify book searching in libraries. This technology allows the Smart Library Assistant to accurately identify genres and process voice commands without needing an internet connection. With a sensitive microphone capable of handling high sound pressure levels, the system provides an efficient solution for navigating large book collections.
Pengembangan Kontrol Robot Omnidirectional Menggunakan Sensor Gerakan Mpu 6050 Berbasis Internet Of Things (IoT) Aryo Pratama, Bimo; Deosa Putra Caniago; M. Abrar Masril; Luki Hernando; Muhammad Jufri
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 1 (2025): Juni 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i1.395

Abstract

Robotics is a field that encompasses interdisciplinary sciences, ranging from the mechanics of robot construction, electronics, and control systems to artificial intelligence. Initially, robotics was widespread in industry, often referred to as industrial robots. The Mini Trolley Robot provides a solution to issues related to flexibility in the room. The robot’s operation can be directed using motion sensors. This research aims to develop a controlled exploration system with an IoT-based mobile robot using the MPU6050 motion sensor. This aims to provide a solution to flexibility issues in complex environments without using traditional remote controls. The system uses the ESP32Wroom as the microcontroller, ESP32 Cam for video streaming, a driver module as the driver, DC motors, and a 12V to 5V converter. The ESP32 module allows good connectivity and remote control via a Wi-Fi network. The MPU6050 motion sensor can read tilt angles based on sensor data contained in the MPU6050 module. To access this sensor module, the I2C data line is used. This research employs the waterfall method, which includes stages of determining user requirements, followed by planning, modeling, construction, system delivery to users, and supporting the entire developed software. The motion sensor from the MPU6050 achieves a considerable range from 5 to 15 meters with accurate results, while reaching 19 meters results in a delay of 2 or 3 seconds.
Co-Authors Aryo Pratama, Bimo Caniago, Deosa Putra Hernando, Luki Jeremy Andika Muhammad Jufri