Digital Transformation of Labor Management in Vocational Agribusiness: An ADDIE-Based Evaluation of Efficiency and Accountability in Teaching Factory Units

Authors

  • Dyah Kusuma Wardani Politeknik Negeri Jember, Indonesia
  • Naning Retnowati Politeknik Negeri Jember, Indonesia
  • Paramita Andini Politeknik Negeri Jember, Indonesia
  • Mohammad Edwinsyah Yanuan Putra Politeknik Negeri Jember, Indonesia
  • Dhanang Eka Putra Politeknik Negeri Jember, Indonesia

DOI:

https://doi.org/10.58524/smartsoc.v6i1.929

Keywords:

Accountability, ADDIE Framework, Digital Labor Management, Teaching Factory, Vocational Agribusiness

Abstract

Background: The growing integration of digital technologies into agribusiness has reshaped organizational practices, yet labor management in many vocational Teaching Factory (TEFA) units continues to rely on paper-based procedures. Such practices frequently lead to attendance discrepancies, delays in payroll administration, and limited supervisory control. In response to these challenges, this study developed a digital labor-management system intended to strengthen operational efficiency and accountability in vocational agribusiness settings..

Methods: Adopting a research and development approach grounded in the ADDIE framework, the study combined system development with a stepped-wedge quasi-experimental evaluation. The research was conducted over twelve weeks in four TEFA units at Politeknik Negeri Jember and involved 25 casual workers and eight supervisors. The proposed platform integrated geolocation, geofencing, real-time productivity logging, and managerial dashboards. Data were analyzed using descriptive statistics and difference-in-differences models with fixed effects, while usability and technological readiness were assessed through the System Usability Scale (SUS) and Technology Readiness Level (TRL). Findings: The implementation of the system increased labor productivity by 13.4%, reduced cost-to-serve by 9.7%, shortened payroll-processing time by 41%, and lowered worker lateness by 48%. In addition, the accountability index improved by 0.88 standard deviations, indicating substantial gains in transparency and administrative performance.

Conclusion: The findings suggest that digital labor management can enhance both efficiency and accountability, providing a practical foundation for the modernization of workforce administration in vocational agribusiness.

Novelty/Originality of this article: This study offers an integrated framework that combines geolocation-based technology, the ADDIE model, quasi-experimental evaluation, and standardized usability and technology-readiness assessments within the context of vocational agribusiness labor management.

References

Abiri, R., Rizan, N., Balasundram, S. K., Shahbazi, A. B., & Abdul-Hamid, H. (2023). Application of digital technologies for ensuring agricultural productivity. Heliyon, 9(12), e22601. https://doi.org/10.1016/j.heliyon.2023.e22601

Al Shanti, A. M., & Elessa, M. S. (2023). The impact of digital transformation towards blockchain technology application in banks to improve accounting information quality and corporate governance effectiveness. Cogent Economics & Finance, 11(1), 2161773. https://doi.org/10.1080/23322039.2022.2161773

Atobishi, T., Moh’d Abu Bakir, S., & Nosratabadi, S. (2024). How do digital capabilities affect organizational performance in the public sector? The mediating role of organizational agility. Administrative Sciences, 14(2), 37. https://doi.org/10.3390/admsci14020037

Aydin, O. (2024). Rise of single-case experimental designs: A historical overview of the necessity of single-case methodology. Neuropsychological Rehabilitation, 34(3), 301–334. https://doi.org/10.1080/09602011.2023.2181191

Basso, A., Costantini, A., & Scarso, E. (2021). Digital transformation and organizational performance: The role of digital technologies in public sector modernization. Government Information Quarterly, 38(4), Article 101593. https://doi.org/10.1016/j.giq.2021.101593

Bellei, E. A., Moretto, C. F., Freitas, C. M. D. S., & De Marchi, A. C. B. (2025). A survey on digital solutions for health services management: Features and use cases from Brazilian national literature. Healthcare, 13(18), 2348. https://doi.org/10.3390/healthcare13182348

Branch, R. M. (2021). Instructional design: The ADDIE approach. Springer.

Cosa, M., & Torelli, R. (2024). Digital transformation and flexible performance management: A systematic literature review of the evolution of performance measurement systems. Global Journal of Flexible Systems Management, 25(3), 445–466. https://doi.org/10.1007/s40171-024-00409-9

Dani, A. A. H., Supangkat, S. H., Lubis, F. F., Nugraha, I. G. B. B., Kinanda, R., & Rizkia, I. (2023). Development of a smart city platform based on digital twin technology for monitoring and supporting decision-making. Sustainability, 15(18), 14002. https://doi.org/10.3390/su151814002

Dhillon, R., & Moncur, Q. (2023). Small-scale farming: A review of challenges and potential opportunities offered by technological advancements. Sustainability, 15(21), 15478. https://doi.org/10.3390/su152115478

Doellgast, V., & Wagner, I. (2022). Collective regulation and the future of work in the digital economy: Insights from comparative employment relations. Journal of Industrial Relations, 64(3), 438–460. https://doi.org/10.1177/00221856221101165

Food and Agriculture Organization. (2024). The state of food and agriculture 2024: Leveraging digital technologies for sustainable agricultural transformation. FAO.

Guest, D., Knox, A., & Warhurst, C. (2022). Humanizing work in the digital age: Lessons from socio-technical systems and quality of working life initiatives. Human Relations, 75(8), 1461–1482. https://doi.org/10.1177/00187267221092674

Holzinger, A., Saranti, A., Angerschmid, A., Retzlaff, C. O., Gronauer, A., Pejakovic, V., Medel-Jimenez, F., Krexner, T., Gollob, C., & Stampfer, K. (2022). Digital transformation in smart farm and forest operations needs human-centered AI: Challenges and future directions. Sensors, 22(8), 3043. https://doi.org/10.3390/s22083043

Hopkins, J., & Bardoel, A. (2023). The future is hybrid: How organisations are designing and supporting sustainable hybrid work models in post-pandemic Australia. Sustainability, 15(4), 3086. https://doi.org/10.3390/su15043086

Jarašūnienė, A., Čižiūnienė, K., & Čereška, A. (2023). Research on impact of IoT on warehouse management. Sensors, 23(4), 2213. https://doi.org/10.3390/s23042213

Kalonde, G., Boateng, S., & Duedu, C. (2026). Integrative analysis of ADDIE, ARCS, and ASSURE: Toward a hybrid framework for technology-enhanced instructional design. Journal of Education and Learning, 15(2), 11–21.

Kashem, M. A., Shamsuddoha, M., & Nasir, T. (2025). Digitalization in sustainable transportation operations: A systematic review of AI, IoT, and blockchain applications for future mobility. Future Transportation, 5(4), 157. https://doi.org/10.3390/futuretransp5040157

Kazdin, A. E. (2021). Single-case experimental designs: Characteristics, changes, and challenges. Journal of the Experimental Analysis of Behavior, 115(1), 56–85. https://doi.org/10.1002/jeab.638

Kostić, M., Šarac, V., Narandžić, T., & Bursać Kovačević, D. (2026). Digital and green technological drivers of transformation in the agri-food sector. Foods, 15(6), 1081. https://doi.org/10.3390/foods15061081

Kumar, S., & Sharma, R. (2022). Digital attendance systems and employee punctuality in organizational settings. International Journal of Productivity and Performance Management, 71(8), 3201–3219.

Li, X., Lu, W., Xue, F., Wu, L., Zhao, R., Lou, J., & Xu, J. (2022). Blockchain-enabled IoT-BIM platform for supply chain management in modular construction. Journal of Construction Engineering and Management, 148(2), 04021195. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002229

Mapiye, O., Makombe, G., Molotsi, A., Dzama, K., & Mapiye, C. (2021). Towards a revolutionized agricultural extension system for the sustainability of smallholder livestock production in developing countries: The potential role of ICTs. Sustainability, 13(11), 5868. https://doi.org/10.3390/su13115868

Margherita, E. G., & Braccini, A. M. (2023). Industry 4.0 technologies in flexible manufacturing for sustainable organizational value: Reflections from a multiple case study of Italian manufacturers. Information Systems Frontiers, 25(3), 995–1016. https://doi.org/10.1007/s10796-020-10047-y

Martens, K., & Zscheischler, J. (2022). The digital transformation of the agricultural value chain: Discourses on opportunities, challenges and controversial perspectives on governance approaches. Sustainability, 14(7), 3905. https://doi.org/10.3390/su14073905

Mazwane, S., Makhura, M. N., & Senyolo, M. P. (2022). Important policy parameters for the development of inclusive digital agriculture: Implications for the redistributive land reform program in South Africa. Agriculture, 12(12), 2129. https://doi.org/10.3390/agriculture12122129

Meemken, E.-M., Barrett, C. B., Michelson, H. C., Qaim, M., Reardon, T., & Sellare, J. (2021). Sustainability standards in global agrifood supply chains. Nature Food, 2(10), 758–765. https://doi.org/10.1038/s43016-021-00360-3

Nguyen, V. D., Khoa, H. V., Kieu, T. N., & Huh, E.-N. (2022). Internet of Things-based intelligent attendance system: Framework, practice implementation, and application. Electronics, 11(19), 3151. https://doi.org/10.3390/electronics11193151

Niksaz, S., Dalipi, F., & Mirijamdotter, A. (2025). A systematic literature review on socio-ecological value scorecards for advancing sustainable smart agriculture. Discover Sustainability, 6(1), 838. https://doi.org/10.1007/s43621-025-01682-z

Nyawira, L., Tsofa, B., Musiega, A., Munywoki, J., Njuguna, R. G., Hanson, K., Mulwa, A., Molyneux, S., Maina, I., Normand, C., Jemutai, J., & Barasa, E. (2022). Management of human resources for health: Implications for health systems efficiency in Kenya. BMC Health Services Research, 22(1), 1046. https://doi.org/10.1186/s12913-022-08432-1

Organisation for Economic Co-operation and Development. (2023). Digital government review: Building transparency and accountability in the public sector. OECD Publishing. https://doi.org/10.1787/digital-government-review

Ouyang, F., Dinh, T. A., & Xu, W. (2023). A systematic review of AI-driven educational assessment in STEM education. Journal for STEM Education Research, 6(3), 408–426. https://doi.org/10.1007/s41979-023-00112-x

Qin, T., Wang, L., Zhou, Y., Guo, L., Jiang, G., & Zhang, L. (2022). Digital technology-and-services-driven sustainable transformation of agriculture: Cases of China and the EU. Agriculture, 12(2), 297. https://doi.org/10.3390/agriculture12020297

Ray, D. (2026). A face recognition based attendance system with geolocation and real-time action logging. SN Computer Science, 7(5), 417. https://doi.org/10.1007/s42979-026-04979-6

Ronzhin, A., Figurek, A., Surovtsev, V., & Dibirova, K. (2025). Digital transformation and precision farming as catalysts of rural development. Land, 14(7), 1464. https://doi.org/10.3390/land14071464

Safitri, I. (2024). Transformation of student science achievement through project-based learning (PjBL): A meta analysis study. Scientiae Educatia: Jurnal Pendidikan Sains, 13(2), 146–158. https://doi.org/10.24235/sc.educatia.v13i2.18694

Santhose, S. S., & Anisha, B. (2023). Psychological improvement in employee productivity by maintaining attendance system using machine learning behavior. Journal of Community Psychology, 51(1), 270–283. https://doi.org/10.1002/jcop.22902

Sheikh, R. A., Ahmed, I., Faqihi, A. Y. A., & Shehawy, Y. M. (2025). Global perspectives on navigating Industry 5.0 knowledge: Achieving resilience, sustainability, and human-centric innovation in manufacturing. Journal of the Knowledge Economy, 16(5), 15997–16032. https://doi.org/10.1007/s13132-024-02498-4

Singun, A., Jr. (2025). Unveiling the barriers to digital transformation in higher education institutions: A systematic literature review. Discover Education, 4(1), 37. https://doi.org/10.1007/s44217-025-00430-9

Somià, T., & Vecchiarini, M. (2024). Navigating the new frontier: The impact of artificial intelligence on students’ entrepreneurial competencies. International Journal of Entrepreneurial Behavior & Research, 30(11), 236–260. https://doi.org/10.1108/IJEBR-08-2023-0788

Stanescu, S.-G., Ionescu, C. A., Ștefan, M. C., Ionescu, L., Bondac, G.-T., & Cristea, A. M. (2025). Digitalization and blockchain integration in agri-food supply chains: Towards a resilient, circular, and sustainable future. Sustainability, 17(20), 9276. https://doi.org/10.3390/su17209276

Surchi, A. S. S. (2025). The role of management information technology in enhancing organizational efficiency: A multisectoral analysis. OTS Canadian Journal, 4(5), 51–61. https://doi.org/10.58840/gx6k5803

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

Vial, G. (2021). Understanding digital transformation: A review and a research agenda. In M. Fitzgerald, N. Kruschwitz, & D. Bonnet (Eds.), Managing digital transformation (pp. 13–66). Routledge. https://doi.org/10.4324/9781003008637-2

Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023

World Bank. (2023). World development report 2023: Migrants, refugees, and societies. World Bank. https://doi.org/10.1596/978-1-4648-1941-4

Yaqub, M. Z., & Alsabban, A. (2023). Industry-4.0-enabled digital transformation: Prospects, instruments, challenges, and implications for business strategies. Sustainability, 15(11), 8553. https://doi.org/10.3390/su15118553

Ye, J., He, L., & Beestrum, M. (2023). Implications for implementation and adoption of telehealth in developing countries: A systematic review of China’s practices and experiences. NPJ Digital Medicine, 6(1), 174. https://doi.org/10.1038/s41746-023-00908-6

Zhou, R., Rashid, S. M., & Cheng, S. (2024). Entrepreneurship education in Chinese higher institutions: Challenges and strategies for vocational colleges. Cogent Education, 11(1), 2375080. https://doi.org/10.1080/2331186X.2024.2375080

Zou, H., Wu, L., Li, K., Chang, P., & Chen, Y. (2026). Design, implementation, and preliminary evaluation of an undergraduate nursing informatics literacy course based on the ADDIE model: A single-arm mixed-methods study. Nursing Reports, 16(5), 151. https://doi.org/10.3390/nursrep16050151

Downloads

Published

2026-03-30