Rachman, Mochamad Aris (2020) DECISION SUPPORT SYSTEM REKOMENDASI VALVE KEPADA CUSTOMER MENGGUNAKAN METODE FUZZY DATABASE MODEL TAHANI STUDI KASUS PT. RAME REKAGUNA PRAKARSA. undergraduate thesis, Universitas Muhammadiyah Gresik.
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Abstract
PT. RAME REKAGUNA PRAKARSA, is a company engaged in general trade in the form of procurement of Valve goods which are distributed to consumers. due to the large selection of goods and types that continue to grow. Therefore, recommendations are needed quickly and continuously so that activities can run smoothly. The increase in demand for goods is balanced with various kinds of consumer needs, creating obstacles in the process of determining the valve that is in accordance with the desired recommendations. Determination of valve recommendations is needed for PT. RAME REKAGUNA PRAKARSA, in order to maintain trust in recommending Valve goods quickly and effectively, the Fuzzy Database Model Tahani method was chosen in determining Valve's recommendations. From the research that has been done by Didin Rosyadi (2009) regarding the Decision Support System for buying a car using the Fuzzy Database Model of the Tahani. Based on this research, it can be concluded that by using the Fuzzy database method the Holdi model can be used in the data processing process as a result of the decision solution for determining the customer to the purchasing company. Based on the completion of the above process, it is hoped that through the Decision Support System application, it will provide convenience for the company's sales division in the process of recommending goods in this case as a solution for determining Valve quickly and effectively.
| Item Type: | Thesis (undergraduate) |
|---|---|
| Uncontrolled Keywords: | Recommendations Valve, Decision Making, Fuzzy Database |
| Subjects: | Engineering > Informatics Engineering Engineering |
| Divisions: | Faculty of Engineering > Informatics Engineering Study Program |
| Depositing User: | Mochamad Aris Rachman |
| Date Deposited: | 21 Jul 2022 02:16 |
| Last Modified: | 21 Jul 2022 02:16 |
| URI: | http://eprints.umg.ac.id/id/eprint/6191 |
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