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The Importance Increasing Attendance Efficiency Accuracy with Presence System in Era Industrial Revolution 4.0

International Journal of Cyber and IT Service Management · Vol. 4 No. 2 (2024) · hlm. 133–142

DOI
10.34306/ijcitsm.v4i2.168
ISSN
2808-554X, 2797-1325
Terbit
2024-10-16
Penerbit
Pandawan Sejahtera Indonesia
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0/

Abstrak

Employee attendance management systems have become a major focus of the Industrial Revolution 4.0 era due to their significant role in increasing organizational productivity and performance. This study demonstrates the importance of the SmartPLS methodology in analyzing the impact of IoT based attendance technology and big data analytics on the efficiency and accuracy of employee attendance. Both the assessments reviewed show that the use of IoT based attendance technology and the implementation of big data analytics systems have a significant positive impact on the efficiency and accuracy of employee attendance. IoT based attendance technology enables real-time attendance data collection with high accuracy, while big data analytics enables organizations to derive valuable insights from the large volume of collected attendance data. These findings provide a better understanding of the contribution of technology in increasing organizational productivity and performance in today digital age. This study provides valuable insights for business professionals and academics to develop adaptive and effective attendance management strategies. Using IoT based attendance technology and big data analytics, organizations can improve operational efficiency, increase payroll accuracy, and optimize overall human resource utilization. Furthermore, the study also highlights the importance of adapting and innovating in the face of technological developments. By incorporating knowledge of the latest technology and industry trends, organizations can continuously enhance their attendance management strategies to remain relevant and competitive in the ever changing business environment.

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37 penulis · 115 tautan kepenulisan bersama · 40 lintas organisasi

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  • Universitas Raharja
  • Universitas Trisakti
  • Universitas Catur Insan Cendekia Cirebon
  • Bakrie University
  • Satya Wacana Christian University
  • University of Miyazaki
  • Universitas Panca Sakti Bekasi
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Marviola Grace HardiniUniversitas Raharja2
Lena MagdalenaUniversitas Catur Insan Cendekia Cirebon2
Erry Sigit PramonoBakrie University1
Dudi RudiantoBakrie University1
Fernando SiboroUniversitas Raharja1
Muhamad Puad Abdul BaqiUniversitas Raharja1
Wahyu SejatiUniversitas Trisakti1
Dina Paramitha AHUniversitas Trisakti1
Fathya KhansaUniversitas Trisakti1
Aryo Setyo MaulanaUniversitas Trisakti1
Untung RahardjaUniversitas Raharja1
Qurotul AiniUniversitas Raharja1
Danny ManonggaSatya Wacana Christian University1
Po Abas SunaryaUniversitas Raharja1
Hiroshi KentaUniversity of Miyazaki1
Mochamad Heru Riza ChakimUniversitas Raharja1
Ageng Setiani RafikaUniversitas Raharja1
Chandra LukitaUniversitas Catur Insan Cendekia Cirebon1
Nuke Puji Lestari SantosoUniversitas Raharja1
Sudadi PranataUniversitas Catur Insan Cendekia Cirebon1
Nikita IvanovAfiliasi tidak diketahui1
Tri Wahyu WirjawanAfiliasi tidak diketahui1
Sri WatiniUniversitas Panca Sakti Bekasi1
Ahmad GunawanUniversitas Pelita Bangsa1
Ninda LutfianiUniversitas Raharja1
Haryanto .Afiliasi tidak diketahui1
FernandoAfiliasi tidak diketahui1
Bambang Purwoko Kusumo BintoroBakrie University1
Ridhuan AhsanitaqwimAfiliasi tidak diketahui1
SuhandiAfiliasi tidak diketahui1
Suryari PurnamaUniversitas Esa Unggul1
Ridhuan AhsanitaqwimUniversitas Raharja1

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://iiast.iaic-publisher.org/ijcitsm/index.php/IJCITSM/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">The Importance Increasing Attendance Efficiency Accuracy with Presence System in Era Industrial Revolution 4.0</dc:title>
	<dc:creator xml:lang="en">Hartono, Tri</dc:creator>
	<dc:creator xml:lang="en">Henry, Bintang Nandana</dc:creator>
	<dc:creator xml:lang="en">Nurm, Sirje</dc:creator>
	<dc:creator xml:lang="en">Pasha, Lukita</dc:creator>
	<dc:creator xml:lang="en">Julianingsih, Dwi </dc:creator>
	<dc:subject xml:lang="en">Industrial Revolution 4.0</dc:subject>
	<dc:subject xml:lang="en">IoT</dc:subject>
	<dc:subject xml:lang="en">Big Data</dc:subject>
	<dc:subject xml:lang="en">Employee</dc:subject>
	<dc:subject xml:lang="en">Attendance Efficiency</dc:subject>
	<dc:description xml:lang="en">Employee attendance management systems have become a major focus of the Industrial Revolution 4.0 era due to their significant role in increasing organizational productivity and performance. This study demonstrates the importance of the SmartPLS methodology in analyzing the impact of IoT based attendance technology and big data analytics on the efficiency and accuracy of employee attendance. Both the assessments reviewed show that the use of IoT based attendance technology and the implementation of big data analytics systems have a significant positive impact on the efficiency and accuracy of employee attendance. IoT based attendance technology enables real-time attendance data collection with high accuracy, while big data analytics enables organizations to derive valuable insights from the large volume of collected attendance data. These findings provide a better understanding of the contribution of technology in increasing organizational productivity and performance in today digital age. This study provides valuable insights for business professionals and academics to develop adaptive and effective attendance management strategies. Using IoT based attendance technology and big data analytics, organizations can improve operational efficiency, increase payroll accuracy, and optimize overall human resource utilization. Furthermore, the study also highlights the importance of adapting and innovating in the face of technological developments. By incorporating knowledge of the latest technology and industry trends, organizations can continuously enhance their attendance management strategies to remain relevant and competitive in the ever changing business environment.</dc:description>
	<dc:publisher xml:lang="en">Pandawan Sejahtera Indonesia</dc:publisher>
	<dc:date>2024-10-16</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://iiast.iaic-publisher.org/ijcitsm/IJCITSM/article/view/168</dc:identifier>
	<dc:identifier>10.34306/ijcitsm.v4i2.168</dc:identifier>
	<dc:source xml:lang="en">International Journal of Cyber and IT Service Management; Vol. 4 No. 2 (2024): October; 133-142</dc:source>
	<dc:source>2808-554X</dc:source>
	<dc:source>2797-1325</dc:source>
	<dc:source>10.34306/ijcitsm.v4i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://iiast.iaic-publisher.org/ijcitsm/IJCITSM/article/view/168/98</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Tri Hartono, Bintang Nandana Henry, Sirje Nurm, Lukita Pasha, Dwi Julianingsih</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0/</dc:rights>
</oai_dc:dc>