Optimizing Supplier Data Management Using Decision Trees at Bambu Makmur Jaya Store
DOI:
https://doi.org/10.22303/csrid-.16.2.2024.228-246Abstract
he challenge faced by craft stores in the era of digitization is the difficulty in choosing the right suppliers, resulting in unstable product availability and uncompetitive prices. Inefficient supplier selection can also disrupt the supply chain and overall business performance. The objective of developing a supplier data system software using Decision Trees is to enhance supplier selection optimization, ensure the best product quality, and improve decision-making quality. The solution design method used is Extreme Programming (XP), focusing on forming small teams. Testing is conducted using white-box methods that meet functional requirements for several software features. The result of this research is the development of a supplier data website software for Bambu Makmur Jaya store using the Laravel framework. It aims to assist Bambu Makmur Jaya store owners in easily viewing supplier and product recommendations, ensuring warranty deadlines are not missed through real-time notifications, and providing positive impacts in applying technology to business, as well as efficiency in supplier data processing and inventory management.
References
Alip, Kosasi, S., Yuliani, I.D.A.E., Syarifudin, G., dan David, “Implementasi Arsitektur Model View Controller pada Website Toko Online,” Jurnal Bumigora Information Technology (BITe, vol. 3, no. 2685-4066, pp. 135-150, 2021.
Zakiyah, R.Z. dan Islam, M.A, "User Interface Website Sebagai Media Promosi Vilovy Desig,” Jurnal Barik, vol. 3, no. 2747-1195, pp. 174-185, 2022.
Hidayat, A. dan Faisal, “Rancang Bangun Sistem Informasi Penyewaan Sistem Informasi Penyewaan Lahan Parkir Berbasis Web GIS,” Jurnal Sistem Informasi dan Sains Teknologi, vol. 1, 2019.
Z. Subecz, “Web-Development With Laravel Framework,”vol. 8, no. 2064-8014, pp. 211-218, 2021.
Galińska, B. dan Bielecki, M., “Multiple Criteria Evaluation of Suppliers in Company Operating in the Clothing Industry,” Business Logistics in Modern Management, 2017.
Salimi, P. S. dan Edalatpnanah, S. A., “Supplier Selection Using Fuzzy AHP Method and D-Numbers,” Journal of Fuzzy Extension and Applications, vol. 1, no. 2717-3453, pp. 1-14, 2020.
Forslund, H. dan Jonsson, P., “Integrating the performance management process of on-time delivery with suppliers,” Journal of Logistics: Research and Applications, vol. 13, pp. 225-229, 2010.
Elmachtoub, A.N., McNellis, R., dan Liang, J.C.N., “Decision Trees for Decision-Making under the Predict-then-Optimize Framework,” Proceedings of the 37th Internasional Conference on Machine Learning, 2020.
Islam, S., Amin, S.H., dan Wardley, L.J., “Machine learning and optimization models for supplier selection and order allocation planning,” International Journal of Production Economics, vol. 3, 2021.
Jijo, B.T., dan Abdulazezz, A.M., “Classification Based on Decision Tree Algorithm for Machine Learning,” Journal of Applied Science and Technology Trends, vol. 2, no. 2708-0757, pp. 20-28, 2021.
Calvalcante, I.M., Frazzon, E.M., Forcellini, F.A., dan Ivanov, D., “A Supervised Machine Learning Approach to Data-driven Simulation of Resilient Supplier Selection in Digital Manufacturing,” 2019.
Rashidi, K., Noorizadeh, A., Kannan, D., dan Cullinane, K., “Applying The Triple Bottom Line In Sustainable Supplier Selection: A meta-review Of The State-of-the-art,” Journal of Cleaner Production, 2020.
Hijriani, A., Safitri, J.A., Pribadi, R.I.A., dan Andrian, R., “Pengembangan Sistem Informasi Manajemen Supplier dan Barang dengan Extreme Programming,” J. Teknik Informatika dan Sistem Informasi, vol. 6, no. 2443-2210, pp. 28-43, 1.
Andriani, A. dan Andry, J.F., “Designing a Web-Based Inventory Application at General Steel Supplier Using Extreme Programming Method,” Cogito Smart Journal, vol. 9, no. 2477-8079, 2023.
Wijaya, E.P., Kosasi, S., dan David, “Implementasi Aplikasi Web Full Stack Pendataan Cloversy.id,” J. SISFOKOM (Sistem Informasi dan Komputer), vol. 10, no. 25812-0588, pp. 320-327, 2020.
