Sistem Monitoring Kehadiran Mahasiswa Berbasis IoT

Conventional student attendance monitoring systems often face problems such as data inaccuracy and delays in attendance information. This study aims to develop an efficient and real-time RFID and Internet of Things (IoT)-based student attendance monitoring system. The methods used include hardware design using the RC522 RFID module and ESP32 microcontroller, web-based software development, and implementing WhatsApp notifications using the API. The trial results show that the system successfully integrates RFID and IoT technology with a tag reading accuracy level at an optimal distance of 1-5 cm. The system is able to send real-time notifications to parents' WhatsApp with a success rate of around 80% and an average response time of 1.2 seconds from RFID reading to recording in the database. The developed web interface obtained a System Usability Scale (SUS) score of 82.5, indicating a good level of usability. The developed system offers an effective solution to improve the accuracy and efficiency of student attendance monitoring, as well as increasing transparency between educational institutions and parents.

Authors

Institutions

Publication Details

Journal
Jurnal Ilmiah Multidisipliner
Published
2024-08-26
DOI
https://doi.org/10.70294/jimu.v2i03.500
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sistem Monitoring Kehadiran Mahasiswa Berbasis IoT

Nurfiana Nurfiana, Dodi Yudo Setyawan, Novi Herawadi Sudibyo, Tio Armindo
Jurnal Ilmiah Multidisipliner
IoT-based Control Systems
article

Sistem Monitoring Kehadiran Mahasiswa Berbasis IoT

Nurfiana Nurfiana, Dodi Yudo Setyawan, Novi Herawadi Sudibyo, Tio Armindo
article en

Abstract

Conventional student attendance monitoring systems often face problems such as data inaccuracy and delays in attendance information. This study aims to develop an efficient and real-time RFID and Internet of Things (IoT)-based student attendance monitoring system. The methods used include hardware design using the RC522 RFID module and ESP32 microcontroller, web-based software development, and implementing WhatsApp notifications using the API. The trial results show that the system successfully integrates RFID and IoT technology with a tag reading accuracy level at an optimal distance of 1-5 cm. The system is able to send real-time notifications to parents' WhatsApp with a success rate of around 80% and an average response time of 1.2 seconds from RFID reading to recording in the database. The developed web interface obtained a System Usability Scale (SUS) score of 82.5, indicating a good level of usability. The developed system offers an effective solution to improve the accuracy and efficiency of student attendance monitoring, as well as increasing transparency between educational institutions and parents.

Jurnal Ilmiah MultidisiplinerVol. 2(03)
Informatics and Business Institute Darmajaya (ID)
Quality Education
Openalex Percentile: Top 85%
IoT-based Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sistem Monitoring Kehadiran Mahasiswa Berbasis IoT — Nurfiana Nurfiana, Dodi Yudo Setyawan, et al. · Jurnal Ilmiah Multidisipliner (2024) | TGRS Research Map | TGRS