Media Social based Smart DSM for Strategic Decision Making: Waste Management Case
Ditdit Nugeraha Utama

1Ditdit Nugeraha Utama, Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480.
Manuscript received on 01 August 2019. | Revised Manuscript received on 09 August 2019. | Manuscript published on 30 September 2019. | PP: 7308-7313 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5944098319/2019©BEIESP | DOI: 10.35940/ijrte.C5944.098319
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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: TSocial media is a fact. It grows rapidly. It is not only as a communication media, but also for information exchange. One of them is Twitter. It is text-based sharing media among its users. Based on all categories of sentiment interchanged in Twitter media, central issue could be academically addressed; then, it is able to be methodically converted to become a decision support model (DSM) that is operated to solve the strategic decision problem. Here, “waste’ issues were addressed and interconnected insight-parameters were defined. Then, a DSM constructed. Combination of methods fuzzy logic and mathematic successfully used as a main approach of the model. The constructed model is finally able to evaluate a quality of waste management in Indonesia and propose an actionable decision for answering the challenge of waste in Indonesia.
Keywords: Social Media, Twitter, Decision Support Model, Strategic Decision Making, Waste Management.

Scope of the Article:
Social Sciences