Social-Media based DSM for Strategic Decision Making: Corruption Case
Ditdit Nugeraha Utama
Ditdit Nugeraha Utama, Department, of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 5588-5591 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6492018520/2020©BEIESP | DOI: 10.35940/ijrte.E6492.018520
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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: Social-media is a communication media based on internet technology. It is a big virtual place where data and information could be practically mined. Furthermore, the data and information are able to be operated in research purposes. One of them, they could be mined to generate decision parameters. This study operated social media to dig all clues in topic corruption. They then generated to become decision parameters that are ready to be involved in to the model. Decision support model (DSM) was constructed scientifically based on two main methods; fuzzy logic and mathematical model. They were functioned respectively to eliminate a bias characteristic of parameters value and calculate the quality of corruption handling and propose the most objective strategic decision to solve the problem, particularly in Indonesia. The model was able to simulate the decision alternative measurement and propose the best decision of several strategic decision alternatives.
Keywords: DSM, corruption, social media, fuzzy logic, strategic decision, Indonesia.
Scope of the Article: fuzzy logic