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Cecep Kurnia Sastradipraja
Ridwan Zulkifli
Lita Lestari Utami
Rr. Isni Anisah Puspowati Harori
Herry Syarifudin

Abstract

This qualitative case study evaluates the effectiveness of the IT-based Supply Chain Management (SCM) information system developed at PT Hifni Jaya Makmur (PT HJM), a medium-scale agricultural commodity company specializing in coffee and black pepper. The company faces challenges, including seasonal fluctuations in raw material supply and limited vehicle availability for deliveries. To address these issues, a digital SCM system was implemented, featuring key features such as demand forecasting using the Single Exponential Smoothing (SES) method, safety stock calculation, and delivery monitoring. The evaluation was conducted using the DeLone and McLean Information System Success Model, which involves six dimensions: system quality, information quality, service quality, usage, user satisfaction, and net benefits. Data were collected through triangulation of interviews, observations, and system documentation. Findings indicate that the system significantly improved procurement accuracy, reduced processing time, and enhanced delivery planning. However, further enhancements such as multi-period forecasting, automated vehicle scheduling, and integration with external data sources are recommended to increase the system's effectiveness.

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How to Cite
Kurnia Sastradipraja, C., Zulkifli, R., Lestari Utami, L., Anisah Puspowati Harori, R. I., & Syarifudin, H. (2025). Evaluation of IT-Based SCM System Using the DeLone and McLean Model. Jurnal Sistem Dan Informatika (JSI), 19(1), 13-19. https://doi.org/10.30864/jsi.v19i1.695
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Articles

References

[1] S. H. Abourokbah, R. M. Mashat, and M. A. Salam, “Role of absorptive capacity, digital capability, agility, and resilience in supply chain innovation performance,” Sustainability, vol. 15, no. 4, p. 3636, 2023, doi: 10.3390/su15043636.
[2] M. Al-Talib, W. Al-Saad, A. Alzoubi, and A. I. Anosike, “A systematic review of the literature on the use of information technologies in supply chain management,” Int. J. Ind. Eng. Oper. Manag., ahead-of-print, 2024, doi: 10.1108/IJIEOM-09-2023-0073.
[3] F. Ciampi, M. Faraoni, J. Ballerini, and F. Meli, “The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives,” Technol. Forecast. Soc. Change, vol. 176, p. 121383, 2022, doi: 10.1016/j.techfore.2021.121383.
[4] I. P. P. Damana, I. M. Candiasa, and I. G. A. Gunadi, “Analisis kesuksesan sistem informasi online (SION) menggunakan metode Delone and Mclean,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 3, no. 2, pp. 331–338, 2023, doi: 10.57152/malcom.v3i2.958.
[5] D. N. Maftuhah et al., “Knowledge management system evaluation using DeLone McLean model: A case study of IT service desk Bank XYZ,” J. Nas. Pendidik. Tek. Inform. (JANAPATI), vol. 12, no. 2, pp. 223–233, 2023, doi: 10.23887/janapati.v12i2.59609.
[6] S. A. Dewanti and W. Santosa, “The effect of absorptive capacity on supply chain innovation performance through supply chain agility in manufacturing companies in Bogor, Indonesia,” Golden Ratio of Marketing and Applied Psychology of Business, vol. 5, no. 2, pp. 414–425, 2025, doi: 10.52970/grmapb.v5i2.983.
[7] A. Gozali and J. Supranto, “Evaluasi implementasi Enterprise Resources Planning pada perusahaan manufaktur dengan model DeLone dan McLean,” J. Manaj. Bisnis dan Kewirausahaan, vol. 4, no. 2, p. 21, 2020, doi: 10.24912/jmbk.v4i2.7516.
[8] J. Liu, W. Yeoh, Y. Qu, and L. Gao, “Blockchain-based digital twin for supply chain management: State-of-the-art review and future research directions,” Sustainability, vol. 14, no. 15, p. 9497, 2022. [Online]. Available: https://www.mdpi.com/2071-1050/14/15/9497
[9] J. Mageto, “Big data analytics in sustainable supply chain management: A focus on manufacturing supply chains,” Sustainability, vol. 13, no. 13, p. 7101, 2021, doi: 10.3390/su13137101.
[10] I. Murniasih and A. D. Wiranata, “Development of asset inventory management information system using the Delone and Mclean success model approach,” Infotech: J. Technol. Inf., vol. 10, no. 2, pp. 289–298, 2024, doi: 10.37365/jti.v10i2.321.
[11] L. Murphy, “Designing a supply chain visibility information system for the manufacturing industry,” IPTEK: J. Eng., vol. 9, no. 3, p. 101, 2023, doi: 10.12962/j23378557.v9i3.a17426.
[12] S. O. Rakhman, “Analisis kesuksesan aplikasi mobile CRM menggunakan metode DeLone and McLean: Studi kasus,” Multinetics, vol. 9, no. 2, pp. 165–173, 2024, doi: 10.32722/multinetics.v9i2.6476.
[13] F. B. Rivera, A. Wulansari, and E. M. Safitri, “Penerapan model DeLone & McLean dalam menilai kesuksesan dan kapabilitas pengguna sistem informasi di industri logistik,” J. Teknol. Sist. Inf. dan Apl., vol. 7, no. 3, pp. 1407–1417, 2024, doi: 10.32493/jtsi.v7i3.41981.
[14] N. Seliana, A. I. Suroso, and L. N. Yuliati, “Evaluation of e-learning implementation in the university using Delone and Mclean success model,” J. Apl. Manaj., vol. 18, no. 2, pp. 345–352, 2020, doi: 10.21776/ub.jam.2020.018.02.15.
[15] I. Purnomo, “Evaluating the success of ERP implementation in Indonesia: Delone and Mclean model approach,” in Proc. Int. Conf. Economics, Business Management, and Accounting (ICOEMA), vol. 3, pp. 63–72, 2024.
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