SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN STARUP TERBAIK UNTUK PENDANAAN MENGGUNAKAN METODE MOOSRA

DWI AYU SEPTIANI, NPM 2209400160 (2026) SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN STARUP TERBAIK UNTUK PENDANAAN MENGGUNAKAN METODE MOOSRA. Tugas_Akhir(Artikel) Jurnal Teknik Informasi Dan Komputer, 8 (2). pp. 625-631. ISSN 2621-3079(e-ISSN) 2621-1556(p-ISSN)

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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. Keywords: MOOSRA, DSS, Study, Criteria, Starup

Item Type:	Article
Uncontrolled Keywords:	MOOSRA, DSS, Study, Criteria, Starup
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	25 May 2026 07:39
Last Modified:	25 May 2026 07:39
URI:	http://repository.ulb.ac.id/id/eprint/2407

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