Social-Media based DSM for Strategic Decision Making: Corruption Case

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.

Social Media Based Decision Support Model To Solve Indonesian Waste Management Problem: An Improved Version

“…In that research the paper used up to 5 parameters to determine the final waste management quality, but no clustering algorithm was used in the research. Another research [11] also used a similar method of decision support but for corruption case, and was able to identify one parameter that heavily determines the severity of the corruptions in Indonesia. Modifications will be performed in the parameter finding process in form of sentiment analysis algorithms and a different method to collect input values, which, in previous research, used the questionnaire.…”