IMPLEMENTATION OF THE EDAS METHOD IN SELECTING INVESTMENT IN THE AGRICULTURAL SECTOR

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Ilman Kadori
Susi Widyastuti
Miswadi Miswadi
Nofie Anggraini

Abstract

Capital is one of the most important things in any business activity that will be carried out. Capital includes capital before planting, planting period until harvest time arrives and post-harvest. Because of the large number of farmers in Kuningan district, the Kuningan district Food Security and Agriculture Agency needs investors to help the farmers. In this study designing and building applications for selecting investments in the agricultural sector using a decision support system with the EDAS method. EDAS is a multi-criteria decision-making method based on the AS score. The data used is data from direct interviews with farmers to determine criteria, sub criteria and alternatives. The criteria include land area, capital, harvest period, yields, and selling price. The alternatives include the names of the farmers, namely Tati, Niryo, Odah, Umin, and Tarwa, as well as types of farming, such as chili, shallots, rice, corn, and peanuts. From the results of the overall calculation of this study, it shows that the EDAS method produces the best choice for Tati farming with the type of chili farming. This research produces a web-based application that can be used by farmers and investors and furthermore, it can be developed into an Android or mobile-based application. The goal is to make it easier for investors to find and choose the best farms to invest in.

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How to Cite
Kadori, I., Widyastuti, S., Miswadi, M., & Anggraini, N. . (2023). IMPLEMENTATION OF THE EDAS METHOD IN SELECTING INVESTMENT IN THE AGRICULTURAL SECTOR. TEKNOKOM, 6(1), 43–49. https://doi.org/10.31943/teknokom.v6i1.118

References

  1. M. C. Victor and A.O. Sunday, “The Application of the EDAS Method in the Parametric Selection Scheme for Maintenance Plans in the Nigerian Food Industry”, Jurnal Rekayasa Sistem Industri, Vol. 11 No. 1, April 2022.
  2. Fatih ECER, “Third-Party Logistics (3pls) Provider Selection Via Fuzzy Ahp and Edas Integrated Model”, Technological and Economic Development of Economy, Vol. 24 No.2, 2018.
  3. Aggarwal. A, Choudhary. E, and Mehrotra. D, “Evaluation of smartphones in Indian Market using EDAS” International Conference on Computational Intelligence and Data Science (ICCIDS 2018).
  4. Bader. F and Rahimifard. S, “A methodology for the selection of industrial robots in food handling”, Innovative Food Science and Emerging Technologies 64-2020.
  5. Mehdi. K.G, Edmundas. K. Z, Laya. O and Zenonas. T, “Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)”, INFORMATICA, 2015, Vol. 26, No. 3.
  6. Cengiz. K, Mehdi. K. G, Edmundas. K. Z, Sezi. C. O, Jaak. T, Baiba. L and Marika. T, “Intuitionistic Fuzzy EDAS Method: An Application to Solid Waste Disposal Site Selection”, Journal Of Environmental Engineering And Landscape Management, 2017, Vol. 15 No. 1.
  7. N. M. Radwan, R. Elstohy, and W. K. Hanna, “A Proposed Method for Multi-Criteria Group Decision Making: An Application to Site Selection,” Appl. Artif. Intell., vol. 35, no. 7, pp. 505–519, 2021, doi: 10.1080/08839514.2021.1901031.
  8. D. Karabasevic, E. Zavadskas, D. Stanujkic, G. Popovic, and M. Brzakovic, “An Approach to Personnel Selection in the IT Industry Based on the EDAS Method,” Transform. Bus. Econ., vol. 17, no. 2(44), pp. 54–65, 2018, [Online]. Available: https://www.researchgate.net/publication/325485131
  9. Ali. E. T, Muhammet. D, Selman. K and Jurgita. A, “A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications”, Expert Systems with Applications Volume 221, 1 July 2022.
  10. M. Keshavarz Ghorabaee, E.K. Zavadskas, M. Amiri, Z. Turskis, “Extended EDAS Method for Fuzzy Multi-criteria Decision-making: An Application to Supplier Selection”, International Journal Of Computers Communications & Control, ISSN 1841-9836, 11(3):358-371, June 2016.
  11. Ashis Mitra, “Selection of Cotton Fabrics Using EDAS Method”, Journal of Natural Fibers, Vol. 19 No. 7, 2022.
  12. Yan He, Fan Lei, Guiwu Wei, Rui Wang, Jiang Wu, Cun Wei, “EDAS Method for Multiple Attribute Group Decision Making with Probabilistic Uncertain Linguistic Information and Its Application to Green Supplier Selection”, International Journal of Computational Intelligence Systems, Vol. 12(2), 2019.
  13. Yuan Liang, “An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects”, School of Civil Engineering and Architecture, Northeast Petroleum University, Daqing 163318, China 2020.
  14. Dragiša. S, Darjan. K, Gabrijela. P, Dragan. P, Željko. S, Edmundas. K. Z and Florentin S, “A Single-Valued Neutrosophic Extension of the EDAS Method”, Axioms 2021.
  15. Zeljko. S, Marko. V, Edmundas. K. Z, Sinisa. S, Zenonas. T, “Selection of Carpenter Manufacturer using Fuzzy EDAS Method”, Inzinerine Ekonomika-Engineering Economics, 2018, 29(3).