Cung, A. Megie (2022) PENERAPAN METODE DATA ANALYSIS ENVELOPMENT (DEA) DAN SWOT DALAM MENGANALISIS TINGKAT EFESIENSI PENJUALAN DI KEDAI KOPI. Undergraduate thesis, Universitas Katolik Musi Charitas Palembang.
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Abstract
Although this coffee shop business has been opened by many entrepreneurs as a side or permanent job. Coffee itself has been in great demand among young and old people. Almost every day people consume coffee and people visit coffee shops to relax together enjoying the taste of the coffee. According to the coffee shop owner who studied the lack of daily turnover in order not to stagnate, it is necessary to find a way to keep the business operational in a good and appropriate way. For this reason, it is necessary to analyze the efficiency of the level of coffee shop sales in order to maximize the operations of the coffee shops that are opened. The methods used to measure efficiency are Data Envelopment Analysis (DEA) and SWOT to analyze internal and external factors of coffee shops and provide strategies to improve the way coffee shops operate. From the results of research conducted, it is known that Chill coffee shop does not operate efficiently from March 2022 to May 2022. The internal and external factors analyzed in this study include being able to create new products. To improve efficiency, a suggestion is given in the form of the right way, one of which is to create a new product that can attract a lot of consumer interest to buy in terms of price and taste. After applying this method, Chill coffee has an efficiency value equal to 1 (100%). Keywords : Coffe Shop ; Data Envelopment Anlysis (DEA) ; SWOT ; Operational ; Coffee
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Coffe Shop ; Data Envelopment Anlysis (DEA) ; SWOT ; Operational ; Coffee |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
Divisions: | Theses - S1 > Industrial Engineering Study Program |
Depositing User: | A. Megie Cung |
Date Deposited: | 06 Sep 2022 03:02 |
Last Modified: | 20 Oct 2022 05:22 |
URI: | http://eprints.ukmc.ac.id/id/eprint/8746 |
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