PERAN SISTEM DIGITAL DALAM MENINGKATKAN KAPABILITAS MANAJERIAL TERHADAP EFEKTIVITAS MANAJEMEN STOK GUDANG BEKU IKAN

Authors

  • Harun AS Universitas Komputer Indonesia
  • Muhammad Helmi Universitas Komputer Indonesia
  • Isniar Budiarti Universitas Komputer Indonesia
  • Dedi Sulistiyo Universitas Komputer Indonesia
  • Siti Kurnia Rahayu Universitas Komputer Indonesia

Abstract

Digital transformation has become a strategic necessity in fisheries supply chain management, especially in frozen fish warehouses that demand data accuracy, decision speed, and quality control on an ongoing basis. This article aims to analyze the role of digital systems in improving managerial capabilities on the effectiveness of fish frozen warehouse stock management. This study uses a qualitative approach based on literature study and conceptual analysis enriched with a philosophical perspective of science, especially the ontological, epistemological, methodological, axiological, and praxis-teleological dimensions. The results of the study show that digital systems not only function as operational tools, but also form a new reality in managerial practices that are socio-technical in nature. Through warehouse information systems, real-time data-based recordings, and the integration of monitoring technology, managers gain more adaptive, accurate, and responsive capabilities in managing stock. Managerial capabilities strengthened by digital systems contribute directly to improving the effectiveness of stock management, reducing recording errors, minimizing losses, and improving cold supply chain resilience. Teleologically, this transformation is directed at the creation of a sustainable, transparent, and competitive management system. Thus, the digital system is an important foundation in building a modern and strategic fish frozen warehouse stock management model.

References

Afifah, L. A., & Junianto, J. (2024). Tinjauan Filsafat Ilmu Pada Penggunaan Bahan Alami Sebagai Pengawet Dalam Industri Hasil Perikanan. Darussalam Nutrition Journal, 8(1), 58. https://doi.org/10.21111/dnj.v8i1.10832

Bailey, D. E., Leonardi, P. M., & Barley, S. R. (2022). The lure of the virtual. Organization Science, 33(3), 1069–1090. https://doi.org/10.1287/orsc.2021.1551

Balamurugan, S., Ayyasamy, A., & Joseph, K. S. (2022). IoT-Blockchain enabled traceability system for perishable food supply chain. Computers & Industrial Engineering, 172, 108529. https://doi.org/10.1016/j.cie.2022.108529

Bhaskar, R. (2008). A realist theory of science. Routledge.

Bush, S. R., Belton, B., Hall, D., Vandergeest, P., Murray, F. J., Ponte, S., ... & Kruijssen, F. (2019). Global food and nutrition security: from challenges to solutions. Food Security, 11(3), 249-252. https://doi.org/10.1007/s12571-019-00936-9

Bygstad, B., Øvrelid, E., Ludvigsen, S., & Dæhlen, T. (2022). From dual digitalization to digital learning space: Exploring the digital transformation of higher education. Computers & Education, 182, 104463. https://doi.org/10.1016/j.compedu.2022.104463

Chalmers, A. F. (2013). What is this thing called science? (4th ed.). Hackett Publishing.

Collins, H., & Evans, R. (2007). Rethinking expertise. University of Chicago Press. https://doi.org/10.7208/chicago/9780226113623.001.0001

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.

Crotty, M. (1998). The foundations of social research: Meaning and perspective in the research process. Sage Publications.

Edwards, R., & Vincent, S. (2023). Critical realism and qualitative research: An introductory overview. International Journal of Social Research Methodology, 26(2), 115-129. https://doi.org/10.1080/13645579.2022.2161870

Fetmawati, F., Yunera, S., Rahmalita, A. S., Jasrial, J., Nellitawati, N., & Sulastri, S. (2025). Relevansi Filsafat Ilmu Dalam Menyikapi Tranformasi Sosial Dan Teknologi Di Dunia Pendidikan. Jurnal Manajemen Pendidikan (JMP), 14(2), 162. https://doi.org/10.26877/jmp.v14i2.23177.

Flick, U. (2022). The SAGE handbook of qualitative research design. SAGE Publications. https://dx.doi.org/10.4135/9781529770278

Heeks, R. (2022). Digital inequality beyond the digital divide: Assessing digital justice from below. Information Technology for Development, 28(4), 681-708. https://doi.org/10.1080/02681102.2022.2100325

Jabar, S., Fitrisia, A., & Fatimah, S. (2024). Peran Filsafat Ilmu Dalam Mengembangkan Metode Penelitian Ilmiah. Cendekia Jurnal Ilmu Pengetahuan, 4(4), 577. https://doi.org/10.51878/cendekia.v4i4.3821.

Kuhn, T. S. (2012). The structure of scientific revolutions (4th ed.). The University of Chicago Press.

Leonardi, P. M. (2012). Materiality, sociomateriality, and socio-technical systems: What do these terms mean? How are they different? Do we need them? In P. M. Leonardi, B. A. Nardi, & J. Kallinikos (Eds.), Materiality and organizing: Social interaction in a technological world (pp. 25–48). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199664054.003.0002

Lincoln, Y. S., Lynham, S. A., & Guba, E. G. (2018). Paradigmatic controversies, contradictions, and emerging confluences, revisited. In N. K. Denzin & Y. S. Lincoln (Eds.), The SAGE handbook of qualitative research (5th ed., pp. 108–150). SAGE Publications.

Mackenzie, A. (2019). From API to AI: Platforms and their opacities. Information, Communication & Society, 22(13), 1989-2006. https://doi.org/10.1080/1369118X.2018.1476569

Maggio, M. G. (2023). Digital transformation and the philosophy of technology: Critical perspectives on AI and organizational change. Technology in Society, 72, 102163. https://doi.org/10.1016/j.techsoc.2022.102163

Micheli, M., Ponti, M., Craglia, M., & Berti Suman, A. (2020). Emerging models of data governance in the age of datafication. Big Data & Society, 7(2). https://doi.org/10.1177/2053951720948087

Mitev, N., de Vaujany, F.-X., Laniray, P., Bohas, A., & Fabbri, J. (2019). A sociomaterial analysis of the broken, the obsolete and the usable in a French hospital. MIS Quarterly, 43(4), 1115-1142. https://doi.org/10.25300/MISQ/2019/14120

Mørk, B. E., Hoholm, T., Maaninen-Olsson, E., & Aanestad, M. (2020). Changing practice through boundary organizing: A case from medical R&D. Human Relations, 73(6), 792–825. https://doi.org/10.1177/0018726719843120

Orlikowski, W. J. (2007). Sociomaterial practices: Exploring technology at work. Organization Studies, 28(9), 1435-1448. https://doi.org/10.1177/0170840607081138

Orlikowski, W. J., & Scott, S. V. (2008). Sociomateriality: Challenging the separation of technology, work and organization. The Academy of Management Annals, 2(1), 433–474. https://doi.org/10.1080/19416520802211644

Orlikowski, W. J., & Scott, S. V. (2021). Liminal innovation in practice: Understanding the reconfiguration of digital work in the pandemic. Information and Organization, 31(1), 100336. https://doi.org/10.1016/j.infoandorg.2021.100336

Pink, S., Berg, M., Lupton, D., & Ruckenstein, M. (2022). Everyday automation: Experiencing and anticipating emerging technologies. Big Data & Society, 9(1). https://doi.org/10.1177/2053951722110155

Popper, K. (2002). The logic of scientific discovery. Routledge Classics.

Prasad, A. (2023). The struggle for meaning: Reflections on philosophy, critique, and social research. University of Toronto Press. https://doi.org/10.3138/9781487547836

Rawls, J. (1971). A theory of justice. Harvard University Press.

Sen, A. (1999). Development as freedom. Oxford University Press.

Taddeo, M., & Floridi, L. (2021). How AI can be a force for good. Science, 361(6404), 751-752. https://doi.org/10.1126/science.aat5991

Umbrello, S., & van de Poel, I. (2021). Mapping value sensitive design onto AI for social good principles. AI and Ethics, 1(3), 283–296. https://doi.org/10.1007/s43681-021-00038-3

Van der Vlist, F. N., & Helmond, A. (2021). How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem. Big Data & Society, 8(1). https://doi.org/10.1177/20539517211025061

Varpio, L., Paradis, E., Uijtdehaage, S., & Young, M. (2020). The distinctions between theory, theoretical framework, and conceptual framework. Academic Medicine, 95(7), 989–994. https://doi.org/10.1097/ACM.0000000000003075.

Downloads

Published

2026-07-05

Issue

Section

Articles