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Penguatan Pengelolaan Tenaga Lepas melalui Digitalisasi di UPA Pertanian Terpadu
Abstract
The 2025 Community Service Program was carried out at the Integrated Agriculture Academic Support Unit (UPA Pertanian Terpadu) of Politeknik Negeri Jember, which oversees four Teaching Factory (TEFA) units: TEFA Smart Green House, TEFA Livestock, TEFA Innovation Garden, and TEFA Chrysanthemum. The partner's main problem was the manual management of 25 temporary workers, which led to inefficiencies, delays in task distribution, and weak performance monitoring. The program was implemented through needs assessment and analysis; design of a simple application-based digital system; user training; intensive mentoring; and the provision of fingerprint attendance machines. The results show that the digital system and fingerprint attendance machines improved the efficiency of task distribution, accelerated recording and reporting processes, and made it easier to monitor worker performance. Digital literacy among temporary workers increased by an average of 40% based on pre–post tests, and delays in monthly production reports decreased noticeably. Worker satisfaction also increased due to clearer task allocation, transparent working hours, and more accurate incentive recording.
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Cattaneo, A.A.P., Antonietti, C., Rauseo, M., 2022. How digitalised are vocational teachers? Assessing digital competence in vocational education and looking at its underlying factors. Computers & Education 176, 104358. https://doi.org/10.1016/j.compedu.2021.104358
Dwijayanthi, K.D., Rijanto, T., 2022. Implementation of Teaching Factory (TEFA) in Vocational Schools to Improve Students’ Work Readiness. Journal of Vocational Education Studies 5, 61–71. https://doi.org/10.12928/joves.v5i1.5922
Hardaningtyas, D., Holifah, N., 2023. Analysis of Finger Print Usage at Wachid Hasyim Foundation I to Improve Employee Work Discipline. NeoRespublica: Jurnal Ilmu Pemerintahan 4, 301–316. https://doi.org/10.52423/neores.v4i2.76
Jain, A.K., Ross, A., Nandakumar, K., 2016. Biometric recognition: past, present, and future. IEEE Access 4, 88–110.
Jalo, L., Usman, M., Bala, I., 2024. Biometric fingerprint attendance and its effect on discipline and administrative efficiency: evidence from education settings. Business and Management Studies 10.
Klerkx, L., Jakku, E., Labarthe, P., 2019. A review of social science on digital agriculture, smart farming and agriculture 4.0. Agricultural Systems 184, 102–133.
Liakos, K.G., Busato, P., Moshou, D., Pearson, S., Bochtis, D., 2018. Machine learning in agriculture: a review. Sensors 18, 2674–2674.
Nuryadi, A.M., Yuswadi, H., Setyari, N.P.W., 2024. The Presence of Digital Literacy to Improve Agricultural Extension Program in Indonesia. FFTC Agricultural Policy Platform.
Patria, A.S., Wicaksono, A., Rahayu, S., 2024. Teaching Factory management in vocational education: improving process standardization and learning outcomes. SAR Journal 29–35.
Rudiansyah, H.M., Anwar, M., Rusvitawati, D., 2022. The Effect of Finger Print Absence and Work Motivation on Employee Discipline in Stimi Banjarmasin. Account and Financial Management Journal 7, 2741–2751. https://doi.org/10.47191/afmj/v7i6.01
Wahjusaputri, S., Bunyamin, B., 2022. Development of Teaching Factory Competency-Based for Vocational Secondary Education in Central Java, Indonesia. International Journal of Evaluation and Research in Education (IJERE) 11, 353–360. https://doi.org/10.11591/ijere.v11i1.21709
Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.-J., 2017. Big data in smart farming – a review. Agricultural Systems 153, 69–80
DOI: https://doi.org/10.31004/abdira.v6i2.1997
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