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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) · hlm. 62–69

ISSN
2528-505X
Terbit
2024-12-05
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

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.

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40 penulis · 77 tautan kepenulisan bersama · 1 lintas organisasi

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  • State University of Semarang
  • Universitas Nahdlatul Ulama Blitar
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Muh. SholehAfiliasi tidak diketahui2
Martanto Setyo HusodoAfiliasi tidak diketahui2
Riza ArifudinState University of Semarang2
Deonisius Germandy Cahaya PutraAfiliasi tidak diketahui2
Vivi WulandariAfiliasi tidak diketahui2
Resta AdityatamaAfiliasi tidak diketahui2
Taripar Matius AlexanderAfiliasi tidak diketahui1
Florentina Yuni AriniState University of Semarang1
Athoillah AthoillahAfiliasi tidak diketahui1
Endang SugihartiState University of Semarang1
Kholiq BudimanAfiliasi tidak diketahui1
zaenal abidinAfiliasi tidak diketahui1
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar1
Cahya WulandariState University of Semarang1
Muhamad Sayuti HassanAfiliasi tidak diketahui1
Zidney Ilma Fazaada EmhaAfiliasi tidak diketahui1
Angel Novita SinuratAfiliasi tidak diketahui1
Tazkiyatun Aeni AmaliyahAfiliasi tidak diketahui1
Devi Tri WidyantiAfiliasi tidak diketahui1
Much Azis MuslimAfiliasi tidak diketahui1
Ahmad WarsunAfiliasi tidak diketahui1
Pradistia Edo KristiantoAfiliasi tidak diketahui1
Syehudin SyehudinAfiliasi tidak diketahui1
Alamsyah AlamsyahState University of Semarang1
Hendi SusantoAfiliasi tidak diketahui1
Annisya Dira PrastiwiAfiliasi tidak diketahui1
Adham Satria FirmansyahAfiliasi tidak diketahui1
Luthfi Ilham Agus PratamaAfiliasi tidak diketahui1
Muhammad Zaenal MuttaqinAfiliasi tidak diketahui1
SugiyantoAfiliasi tidak diketahui1
Dian Tri WiyantiState University of Semarang1
Dante AlighiriState University of Semarang1
Priyantini WidiyaningrumAfiliasi tidak diketahui1
Agus YuliantoAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ijal/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (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>