SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN STARTUP TERBAIK UNTUK PENDANAAN MENGGUNAKAN METODE MOOSRA

Dwi Ayu Septiani; Budianto Bangun; Angga Juledi

doi:10.37600/tekinkom.v8i2.1790

Dwi Ayu Septiani Universitas Labuhanbatu
Budianto Bangun Universitas Labuhanbatu
Angga Juledi Universitas Labuhanbatu

DOI: https://doi.org/10.37600/tekinkom.v8i2.1790

Abstract

The rapid growth of the startup ecosystem has intensified competition for funding, requiring investors to adopt objective and measurable evaluation mechanisms to identify the most investment-worthy startups. Selection processes that rely heavily on subjective judgment may increase investment risk and reduce decision accuracy. Therefore, this study aims to design and implement a Decision Support System (DSS) for selecting the best startups for funding using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOOSRA) method. This research employs a quantitative approach with descriptive analysis and system design. The evaluation criteria include product innovation, market potential, financial performance, and business model as benefit criteria, as well as investment risk level as a cost criterion. Data were obtained from the assessment of five startup alternatives and processed through normalization, weighting, and MOOSRA preference value calculations. The results indicate that Startup S4 achieved the highest preference value with a performance score of 5.8082, ranking first, followed by Startup S2 and Startup S3, reflecting superior performance across most evaluation criteria. These findings demonstrate that the MOOSRA method is capable of generating objective, transparent, and consistent startup rankings. Consequently, a MOOSRA-based DSS can serve as an effective decision-making tool for investors and funding institutions in determining startup investment priorities.

References

[1] V. M. M. Siregar, M. R. Tampubolon, E. P. S. Parapat, E. I. Malau, And D. S. Hutagalung, “Decision Support System For Selection Technique Using Moora Method,” Iop Conf Ser Mater Sci Eng, Vol. 1088, No. 1, P. 012022, Feb. 2021, Doi: 10.1088/1757-899x/1088/1/012022.
[2] T. Avramova, T. Peneva, And A. Ivanov, “Overview Of Existing Multi-Criteria Decision-Making (Mcdm) Methods Used In Industrial Environments,” Technologies (Basel), Vol. 13, No. 10, P. 444, Oct. 2025, Doi: 10.3390/Technologies13100444.
[3] E. Jáki, F. Major, And E. M. Molnár, “Key Competencies Of Startup Teams Sought After By Investors,” In Springer Proceedings In Business And Economics, Springer Science And Business Media B.V., 2022, Pp. 75–87. Doi: 10.1007/978-3-030-81663-6_5.
[4] F. Lange, N. Tomini, F. Brinkmann, D. K. Kanbach, And S. Kraus, “Demystifying Massive And Rapid Business Scaling – An Explorative Study On Driving Factors In Digital Start-Ups,” Technol Forecast Soc Change, Vol. 196, Nov. 2023, Doi: 10.1016/J.Techfore.2023.122841.
[5] A. Abdul-Kareem, Z. Fayed, S. Rady, S. Amin, And B. Nema, “Advances In Decision Support Systems’ Design Aspects: Architecture, Applications, And Methods,” International Journal Of Intelligent Computing And Information Sciences, Vol. 23, No. 2, Pp. 74–104, Jun. 2023, Doi: 10.21608/Ijicis.2023.160460.1216.
[6] R. Dwi Arista, “Multi Objective Optimization In The Basic Of Ratio (Moora) In Supporting Decision Making In Measuring Employee Performance Level Case Study Pt.Padi Saga Utama.” [Online]. Available: Http://Ijstm.Inarah.Co.Id
[7] P. Karande And S. Chakraborty, “Application Of Multi-Objective Optimization On The Basis Of Ratio Analysis (Moora) Method For Materials Selection,” Mater Des, Vol. 37, Pp. 317–324, May 2012, Doi: 10.1016/J.Matdes.2012.01.013.
[8] E. Aytaç Adalı And A. Tuş Işık, “The Multi-Objective Decision Making Methods Based On Multimoora And Moosra For The Laptop Selection Problem,” Journal Of Industrial Engineering International, Vol. 13, No. 2, Pp. 229–237, Jun. 2017, Doi: 10.1007/S40092-016-0175-5.
[9] D. D’agostino, F. De Falco, F. Minelli, And F. Minichiello, “New Robust Multi-Criteria Decision-Making Framework For Thermal Insulation Of Buildings Under Conflicting Stakeholder Interests,” Appl Energy, Vol. 376, Dec. 2024, Doi: 10.1016/J.Apenergy.2024.124262.
[10] R. Trizotto, L. Nascimento, C. Netto, And P. Zawislak, “Startups’ Innovation Capabilities: A Systematic Literature Review To Depict Core Elements And A Performance-Driven Framework,” 2025. Doi: 10.2139/Ssrn.5351078.
[11] S. Ahn, K. S. Kim, And K. H. Lee, “Technological Capabilities, Entrepreneurship And Innovation Of Technology-Based Start-Ups: The Resource-Based View,” Journal Of Open Innovation: Technology, Market, And Complexity, Vol. 8, No. 3, Sep. 2022, Doi: 10.3390/Joitmc8030156.
[12] J. Hakim Lubis, A. Lubis, And N. Sari Hutapea, “Decision Support System For Selecting The Best Head Of Study Program Applying The Multi-Objective Optimization Method On The Basis Of Simple Ratio Analysis (Moosra),” Bulletin Of Informatics And Data Science, Vol. 4, No. 1, Pp. 53–61, 2025, Doi: 10.61944/Bids.V4i1.105.
[13] M. Br Hutahaean, R. Tamara Aldisa, S. Siregar, A. Mana Sikana, And E. Penulis Korespondensi, “Penerapan Metode Moora Dan Moosra Dalam Penentuan Kelayakan Nasabah Penerima Kredit,” Media Online, Vol. 4, No. 3, Pp. 1684–1691, 2023, Doi: 10.30865/Klik.V4i3.1434.
[14] C. García-Aroca, M. Asunción Martínez-Mayoral, J. Morales-Socuéllamos, And J. V. Segura-Heras, “An Algorithm For Automatic Selection And Combination Of Forecast Models,” Expert Syst Appl, Vol. 237, Mar. 2024, Doi: 10.1016/J.Eswa.2023.121636.
[15] Grey Systems Theory In Business Management. Mdpi, 2025. Doi: 10.3390/Books978-3-0365-9654-9.
[16] F. Natsir, M. Izzatilah, And E. S. Marsiani, “Penerapan Metode Moora Dalam Keputusan Pemilihan Produk Layak Produksi Terbaik,” 2025.
[17] S. A. Moayeripour, S. M. Mirhosseini, M. Ehsanifar, And E. Zeighami, “Development Of Seca Multi Criteria Decision Making Method To Optimally Select Contractors For Green Construction Projects (Case Study For Iran),” Results In Control And Optimization, Vol. 21, Dec. 2025, Doi: 10.1016/J.Rico.2025.100617.
[18] “A Study On Multi-Objective Optimization On The Basis Of Ratio Analysis,” Recent Trends In Management And Commerce, Vol. 2, No. 3, Jan. 2022, Doi: 10.46632/Rmc/2/3/4.
[19] M. Baydaş And D. Pamučar, “Determining Objective Characteristics Of Mcdm Methods Under Uncertainty: An Exploration Study With Financial Data,” Mathematics, Vol. 10, No. 7, Apr. 2022, Doi: 10.3390/Math10071115.
[20] J. Wątróbski, J. Jankowski, P. Ziemba, A. Karczmarczyk, And M. Zioło, “Generalised Framework For Multi-Criteria Method Selection,” Omega (United Kingdom), Vol. 86, Pp. 107–124, Jul. 2019, Doi: 10.1016/J.Omega.2018.07.004.