Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia

Research Article

Literature Review – Using Multi-Criteria Decision-Making Methods in Information Technology (IT) Investment

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  • @INPROCEEDINGS{10.4108/eai.13-2-2019.2286076,
        author={Anggraeni Widya Purwita and Apol Pribadi Subriadi},
        title={Literature Review -- Using Multi-Criteria Decision-Making Methods in Information Technology (IT) Investment},
        proceedings={Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia},
        publisher={EAI},
        proceedings_a={ICBLP},
        year={2019},
        month={10},
        keywords={evaluation selection investment accurate ahp anp topsis dea},
        doi={10.4108/eai.13-2-2019.2286076}
    }
    
  • Anggraeni Widya Purwita
    Apol Pribadi Subriadi
    Year: 2019
    Literature Review – Using Multi-Criteria Decision-Making Methods in Information Technology (IT) Investment
    ICBLP
    EAI
    DOI: 10.4108/eai.13-2-2019.2286076
Anggraeni Widya Purwita1,*, Apol Pribadi Subriadi1
  • 1: Faculty of Information Technology and Communication, Institut Teknologi Sepuluh Nopember
*Contact email: anggraeniwidya55@gmail.com

Abstract

The application of Multi-Criteria decision-making (MCDM) method was important in Information Technology (IT) project investment. The results of several studies it showed that use the MCDM method obtained were not accurate. Several MCDM methods were combined to help the more accurate results. Therefore, the study aims to determine the decision-making methods that have higher accuracy obtained from 30 research literature. A literature search was obtained from database providers such as ScienceDirect, IEEE Xplore, Emerald Insight, and ACM. Based on 30 literature obtained from the 2008-2018, MCDM was used in the process of evaluation and selection projects in IT investments. Both processes used three MCDM methods which have highest frequency of use, because they are considered easy to use. The method used was Analytic Network Process (ANP), Priority Order Technique based on Ideal with Ideal Solutions (TOPSIS), Analytic Hierarchy Process (AHP), and Data Envelopment Analysis (DEA). Then from the four methods, found that the AHP method was more accurate and easier to use in IT investment.