Assistance Decision Model for SMEs
Inayatulloh1, Bachtiar Saleh Abbas2, Agung Trisetyarso3, Wayan Suparta4, Chul-Ho Kang5
1Inayatulloh*, Computer Science Department, Binus Graduate Program—Doctor of Computer Science, Bina Nusantara University, West Jakarta,
2Bachtiar Saleh Abbas, Computer Science Department, Binus Graduate Program—Doctor of Computer Science, Bina Nusantara University, and West Jakarta, Indonesia.
3Agung Trisetyarso, Computer Science Department, Binus Graduate Program—Doctor of Computer Science, Bina Nusantara University, West Jakarta, Indonesia.
4Wayan Suparta, Department of informatics, Universitas Pembangunan Jaya, South Tangerang, Banten, Indonesia.
5Chul-Ho Kang , Computer Science Department, Binus Graduate Program—Doctor of Computer Science, Bina Nusantara University, West Jakarta, Indonesia.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1248-1255 | Volume-8 Issue-5, January 2020. | Retrieval Number: D5875018520/2020©BEIESP | DOI: 10.35940/ijrte.D5875.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: SMEs in Indonesia are one of the economic drivers of the nation. Its presence and development shows a sizeable contribution to Gross Domestic Income (GDP) each year. With this background, the Indonesian government provides stimulants in the form of financial assistance for the special SMEs for beginner SMEs. The government is encouraging the growth of SMEs by providing assistance to SMEs. During this time the process of determining the provision of assistance is done manually so that it is less effective and efficient. Therefore, the purpose of this study is to make a decision support model for the Ministry of SMEs to provide financial assistance to SMEs. The research method uses AHP and Promethee. Based on the results and discussion produced a Decision Support System model to help the Ministry of SMEs provide financial assistance to SMEs. The conclusion of this study is the suitability of SME ministry staff with the resulting model in the form of ease in the decision making process of providing assistance to SMEs.
Keywords: SMEs, DSS, AHP.
Scope of the Article: Software Engineering Decision Support.