Muhammad Yoma Putra Perdana, Arini, Andrew Fiade, Iik Muhamad Malik Matin
{"title":"Fuzzy Multi-Criteria Decision Making for Optimization of Housing Construction Financing","authors":"Muhammad Yoma Putra Perdana, Arini, Andrew Fiade, Iik Muhamad Malik Matin","doi":"10.1109/ICIC54025.2021.9632934","DOIUrl":null,"url":null,"abstract":"Financing is very important in running a company's business processes. However, in the process, financing is often an obstacle when an organization handles many projects simultaneously. XYZ company is a construction finance company that handles four different projects. Some of the projects are supervised by the same supervisor, making the supervisory function not run optimally. In addition, the budget plan is still made using the manual method. This makes it difficult for decision holders to determine the right budget allocation. As a result, the budget allocation for each existing project is not optimal. This problem can be solved if XYZ company has a decision support system. In this paper, we develop a decision support system based on Fuzzy Multi-Criteria Decision Making (FMCDM). FMCDM is a method of decision-making by determining the best alternative from existing alternatives based on certain criteria. We use 4 decision alternatives with 8 decision consideration criteria. The organization inputs the budget then the system calculates the value of the degree of optimism. Through experiments conducted, it is known that FMCDM is proven to be able to help companies identify conditions in each project so that the best projects can be prioritized to share financing with projects.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Sixth International Conference on Informatics and Computing (ICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC54025.2021.9632934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Financing is very important in running a company's business processes. However, in the process, financing is often an obstacle when an organization handles many projects simultaneously. XYZ company is a construction finance company that handles four different projects. Some of the projects are supervised by the same supervisor, making the supervisory function not run optimally. In addition, the budget plan is still made using the manual method. This makes it difficult for decision holders to determine the right budget allocation. As a result, the budget allocation for each existing project is not optimal. This problem can be solved if XYZ company has a decision support system. In this paper, we develop a decision support system based on Fuzzy Multi-Criteria Decision Making (FMCDM). FMCDM is a method of decision-making by determining the best alternative from existing alternatives based on certain criteria. We use 4 decision alternatives with 8 decision consideration criteria. The organization inputs the budget then the system calculates the value of the degree of optimism. Through experiments conducted, it is known that FMCDM is proven to be able to help companies identify conditions in each project so that the best projects can be prioritized to share financing with projects.