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All Journal Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Oryza : Jurnal Pendidikan Biologi Journal of Science and Science Education (JoSSEd) Journal of Agritechnology and Food Processing Jurnal Manajemen Agribisnis dan Agroindustri Journal of Business Management BATOBO: Jurnal Pengabdian Kepada Masyarakat Journal of Supply Chain and Entrepreneurship
Putra, Mohammad Edwinsyah Yanuan
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Immunology & microbiology Materials Science & Nanotechnology Neuroscience Physics Public Health Other

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Analisis Bibliometrik Tren Global Kajian Efisiensi Produksi Susu Sapi Perah Malika, Uyun Erma; Sumarlina, Sumarlina; Wijaya, Jemi Cahya Adi; CNAWP, Rizal Perlambang; Putra, Mohammad Edwinsyah Yanuan
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 11, No 2 (2025): Juli 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v11i2.18363

Abstract

Milk is one of the important food sources for the community. Therefore, studies on the development of dairy cow milk production businesses have been carried out quite a lot, both nationally and globally. This study aims to determine the global trend of dairy cow milk production efficiency studies conducted using the bibliometric analysis method. The data used are scientific publications indexed on Google Scholar during the period 2014 - 2024 using the help of Publish or Perish, Mendeley Reference Manager, and VOSviewer software. The results of the study showed that publications related to dairy cow milk production efficiency studies has a positive trend with a tendency for study areas that can be grouped into socio-economic, production, environmental, and technology. In addition, there is a shift in the grouping of keywords used, namely that recent research focuses more on the quantity and quality of milk influenced by the treatment and formulation of feed in dairy cattle. The most widely used efficiency analysis research methods are Stochastic Frontier Analysis, Data Envelopment Analysis, and Cobb-Douglass Production Function. The results of this study provide an overview of further research opportunities related to dairy cow milk production efficiency with methods according to the needs.
Impact of Workforce Management Digitalization on Operational Efficiency and Accountability in Teaching Factory Units: A Quasi-Experimental Study Wardani, Dyah Kusuma; Retnowati, Naning; Andini, Paramita; Putra, Mohammad Edwinsyah Yanuan
Journal of Supply Chain and Entrepreneurship Vol. 1 No. 3 (2025): Journal of Supply Chain and Entrepreneurship
Publisher : CV. SPDFHarmony

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64268/josce.v1i3.96

Abstract

Background: Teaching Factory, TEFA, operations combine learning and real production routines, so workforce management becomes a critical control point for punctuality, documentation quality, and payroll grade reporting. Manual attendance practices commonly create slow recaps, transcription errors, and weak traceability, which can reduce efficiency and trigger disputes. Aims: This study evaluates the short run impact of fingerprint based workforce management digitalization on operational efficiency and accountability in four TEFA units within UPA Pertanian Terpadu at Politeknik Negeri Jember. Methods: A quasi experimental pretest posttest design was applied, comparing four baseline weeks before installation with eight post implementation weeks after stabilization. Four fingerprint devices were installed, synchronized via NTP, and configured for daily CSV export, with SOP governed overrides and role based access control. Indicators were computed from system logs and administrative records, including on time attendance rate, tardiness minutes, effective work hours, missing log rate, SOP override compliance, and weekly recap time. Unit level paired tests were used with two tailed alpha 0.05, complemented by descriptive distributions, reliability checks of a post period perception instrument, and qualitative triangulation. Result: Performance improved consistently after digitalization. On time attendance increased from 66.53 percent to 86.59 percent, tardiness decreased from 14.33 to 7.77 minutes, effective work hours rose from 6.44 to 7.23 hours, missing logs fell from 8.40 percent to 2.58 percent, SOP override compliance increased from 69.28 percent to 92.12 percent, and weekly recap time decreased from 92.50 to 29.46 minutes. Interview and observation evidence aligned with the quantitative pattern, indicating fewer corrections, faster start of shift routines, and more stable recaps. Conclusion: Fingerprint based workforce management digitalization produced substantial improvements in both operational efficiency and accountability in TEFA units by strengthening traceable time stamped records and reducing rework in recap workflows. The findings support institutionalization of log based monitoring and SOP governance, with future studies extending observation windows and linking workforce traceability to downstream TEFA output and quality performance.
Co-Authors Adhamatika, Adhima Aditya Wardana, Aditya Al Ayyubi, Waridad Umais Alwirya, Ngani Amrulloh, Muhammad Sholahuddin Andini, Paramita Anggaeni, Oktanita Jaya Apriliyanti, Mulia W. Asmunir CNAWP, Rizal Perlambang Datik Lestari Dyah Kusuma Wardani, Dyah Kusuma Eko Sulistyono Emi Kurniawati Firman, Anwar Indhis, Nadhifah Al Maghfiroh, Canggih Nailil Oktanita Jaya Anggraeni Pratita, Dian Galuh Rahmat Dhandy Retnowati, Naning Rizky, Dian Septine Brillyantina Sholihah, Elis Rahmawati Mar’atus Subaktilah, Yani Sumarlina Sumarlina Taufik Hidayat Triardianto, Dimas Uyun Erma Malika Widyatami, Linda Ekadewi Wijaya, Jemi Cahya Adi