Material Procurement Recommendation System for Property Developer Companies using ARIMA and AHP Methods

Hasyim Asy'ari, Endang Setyati, Suhatati Tjandra

Abstract


This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the supplier's distance to the project location, delivery speed, suitability orders, good quality materials and affordable prices. The method used to estimate the quantity of material procurement in maintaining the availability of material stock in the warehouse is the Auto Regressive Moving Average (ARIMA) method and the Analytical Hierarchy Process (AHP) as a method for determining material suppliers. The results of this study indicate that the average percentage of forecasting errors is 6.1%. As for the selection of material suppliers, the AHP method can recommend which suppliers are eligible to be selected based on predetermined criteria, then the results are sorted based on the highest ranking.

Full Text:

PDF

References


“Informasi Statistik Infrastruktur PUPR Tahun 2020.pdf.” Accessed: May 12, 2023. [Online]. Available: https://data.pu.go.id/sites/default/files/Informasi Statistik Infrastruktur PUPR Tahun 2020.pdf

C. N. Wang, H.-T. Tsai, T.-P. Ho, V. T. Nguyen, and Y. F. Huang, “Multi-Criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection for Oil Production Projects in Vietnam,” Processes, vol. 8, no. 2, Art. no. 2, Feb. 2020, doi: 10.3390/pr8020134.

F. De Felice, M. H. Deldoost, M. Faizollahi, and A. Petrillo, “Performance Measurement Model for the Supplier Selection based on AHP,” International Journal of Engineering Business Management, vol. 7, p. 17, Jan. 2015, doi: 10.5772/61702.

R. I. Handayani and Y. Darmianti, “Sistem Pendukung Keputusan Pemilihan Supplier dengan Metode Analytical Hierarchy Process pada PT. Cipta Nuansa Prima Tangerang,” vol. 14, no. 2, 2017.

E. Lesmana, B. Subartini, Riaman, and D. A. Jabar, “Analysis of Forecasting and Inventory Control of Raw Material Supplies In PT Indac Int’l,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 332, no. 1, p. 012015, Mar. 2018, doi: 10.1088/1757-899X/332/1/012015.

R. Adrifa, R. Kurniawan, and A. Sofiyan, “Perancangan Sistem Pengontrolan Stok Barang dengan Metode Economic Order Quantity (EOQ),” JURI, vol. 10, no. 1, p. 39, May 2018, doi: 10.36723/juri.v10i1.91.

A. Y. Saputra and Y. E. Mawartika, “Sistem Pendukung Keputusan dalam Memilih Perumahan dengan Metode Simple Multi Attribute Rating Technique,” CogITo Smart Journal, vol. 5, no. 1, Art. no. 1, Jun. 2019.

R. R. Novanda et al., “A Comparison of Various Forecasting Techniques for Coffee Prices,” J. Phys.: Conf. Ser., vol. 1114, p. 012119, Nov. 2018, doi: 10.1088/1742-6596/1114/1/012119.

Y. C. Weng and J. W. Shy, “The comparison of the forecasting models of the raw material futures’ prices,” Journal of Information and Optimization Sciences, vol. 31, no. 1, pp. 129–145, Jan. 2010, doi: 10.1080/02522667.2010.10699949.

A. J. Deshmukh and A. A. Chaudhari, “A Review for Supplier Selection Criteria and Methods,” in Technology Systems and Management, K. Shah, V. R. Lakshmi Gorty, and A. Phirke, Eds., Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 283–291.

K. Nurfadila and I. Aksan, “Aplikasi Metode Arima Box-Jenkins untuk Meramalkan Penggunaan Harian Data Seluler,” Journal of Mathematics Theory and Application, vol. 2, no. 1, Art. no. 1, Aug. 2020.

N. Hankla and G. Boonsothonsatit, “Prediction of Raw Material Price using Autoregressive Integrated Moving Average,” in 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Singapore: IEEE, Dec. 2020, pp. 220–224. doi: 10.1109/IEEM45057.2020.9309847.

Y. Weng, X. Wang, J. Hua, H. Wang, M. Kang, and F. Y. Wang, “Forecasting Horticultural Products Price using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler,” IEEE Trans. Comput. Soc. Syst., vol. 6, no. 3, pp. 547–553, Jun. 2019, doi: 10.1109/TCSS.2019.2914499.

T. L. Saaty, “The Analytical Hierarchy Process: Planning, Priority Setting, Resource Allocation.” University of Pittsburgh Pers, 1993.

A. Sinaga and E. Astuty, “Forecasting Raw Material Inventory Using the Single Moving Average and Supplier Selection Using the Analytical Hierarchy Process,” in 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS), Bandung, Indonesia: IEEE, Apr. 2021, pp. 1–6. doi: 10.1109/AIMS52415.2021.9466081.




DOI: https://doi.org/10.32520/stmsi.v12i2.2874

Article Metrics

Abstract view : 368 times
PDF - 122 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.