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Integration of Smart Machine Presence Using RFID E-Money Cards for Employee Attendance Management at Universitas Negeri Semarang

International Journal of Active Learning · Vol. 9 No. 1 (2024) · pp. 62–69

ISSN
2528-505X
Published
2024-12-05
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The study aims to improve the effectiveness of the online attendance system at Universitas Negeri Semarang (UNNES). The existing system, reliant on web-based input via tokens and employee identification numbers, suffers from inefficiencies and potential inaccuracies due to proxy attendance. These limitations hinder productivity and the accuracy of performance appraisals. To address these challenges, a Smart Machine Presence system was designed and implemented, utilize RFID e-money cards which become employee Identification cards (ID Card) to streamline the process and eliminate the need for manual input. This novel system employs Raspberry Pi 4 Model B technology, integrated with RFID readers and camera modules for robust authentication. The research utilized a three-stage approach: system needs analysis, prototype design, and system development. Usability testing conducted with 20 participants using the System Usability Scale (SUS) yielded a score of 86.8, indicating high user satisfaction and effectiveness. The proposed system demonstrated significant advantages, including improved data validity, enhanced operational efficiency, and reduced resource costs compared to traditional systems. This study concludes that the Smart Machine Presence system is a cost-effective, efficient, and scalable solution for modern attendance management systems.

Keywords

Collaboration network of the authors

40 authors · 77 co-authorship links · 4 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Nahdlatul Ulama Blitar
  • Institut Teknologi Kalimantan
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muh. SholehAffiliation unknown2
Martanto Setyo HusodoAffiliation unknown2
Riza ArifudinState University of Semarang2
Deonisius Germandy Cahaya PutraAffiliation unknown2
Vivi WulandariAffiliation unknown2
Resta AdityatamaAffiliation unknown2
Taripar Matius AlexanderAffiliation unknown1
Florentina Yuni AriniState University of Semarang1
Athoillah AthoillahAffiliation unknown1
Endang SugihartiState University of Semarang1
Kholiq BudimanAffiliation unknown1
zaenal abidinAffiliation unknown1
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar1
Cahya WulandariState University of Semarang1
Muhamad Sayuti HassanAffiliation unknown1
Zidney Ilma Fazaada EmhaAffiliation unknown1
Angel Novita SinuratAffiliation unknown1
Tazkiyatun Aeni AmaliyahAffiliation unknown1
Devi Tri WidyantiAffiliation unknown1
Much Azis MuslimAffiliation unknown1
Ahmad WarsunAffiliation unknown1
Pradistia Edo KristiantoAffiliation unknown1
Syehudin SyehudinAffiliation unknown1
Alamsyah AlamsyahInstitut Teknologi Kalimantan1
Hendi SusantoAffiliation unknown1
Annisya Dira PrastiwiAffiliation unknown1
Adham Satria FirmansyahAffiliation unknown1
Luthfi Ilham Agus PratamaAffiliation unknown1
Muhammad Zaenal MuttaqinAffiliation unknown1
SugiyantoAffiliation unknown1
Dian Tri WiyantiState University of Semarang1
Dante AlighiriState University of Semarang1
Priyantini WidiyaningrumAffiliation unknown1
Agus YuliantoAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ijal/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Integration of Smart Machine Presence Using RFID E-Money Cards for Employee Attendance Management at Universitas Negeri Semarang</dc:title>
	<dc:creator xml:lang="en">Yanuarto, Alfath</dc:creator>
	<dc:creator xml:lang="en">Septian, Dinar Diaz</dc:creator>
	<dc:creator xml:lang="en">Munawar, Akhmad</dc:creator>
	<dc:creator xml:lang="en">Putra, Anggyi Trisnawan</dc:creator>
	<dc:creator xml:lang="en">Ramadhan, Andika Enggal </dc:creator>
	<dc:creator xml:lang="en">Kumorowati, Bhekti </dc:creator>
	<dc:subject xml:lang="en">Smart Machine  Presence, RFID, ID  Card</dc:subject>
	<dc:description xml:lang="en">The study aims to improve the effectiveness of the online attendance system at Universitas Negeri Semarang (UNNES). The existing system, reliant on web-based input via tokens and employee identification numbers, suffers from inefficiencies and potential inaccuracies due to proxy attendance. These limitations hinder productivity and the accuracy of performance appraisals. To address these challenges, a Smart Machine Presence system was designed and implemented, utilize RFID e-money cards which become employee Identification cards (ID Card)  to streamline the process and eliminate the need for manual input. This novel system employs Raspberry Pi 4 Model B technology, integrated with RFID readers and camera modules for robust authentication. The research utilized a three-stage approach: system needs analysis, prototype design, and system development. Usability testing conducted with 20 participants using the System Usability Scale (SUS) yielded a score of 86.8, indicating high user satisfaction and effectiveness. The proposed system demonstrated significant advantages, including improved data validity, enhanced operational efficiency, and reduced resource costs compared to traditional systems. This study concludes that the Smart Machine Presence system is a cost-effective, efficient, and scalable solution for modern attendance management systems.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-12-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/ijal/article/view/16797</dc:identifier>
	<dc:source xml:lang="en">International Journal of Active Learning; Vol. 9 No. 1 (2024): April 2024; 62-69</dc:source>
	<dc:source>2528-505X</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ijal/article/view/16797/2128</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 International Journal of Active Learning</dc:rights>
</oai_dc:dc>