Mardaletha, Winda and , Wahyu Widyatmoko,S.Si., M.Sc. (2024) Pola Persebaran Dan Potensi Usaha Coffee Shop Menggunakan Sistem Informasi Geografis Di Kecamatan Kartasura Kabupaten Sukoharjo. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
The current trend of coffee shop businesses is making the demand for coffee shop businesses continue to increase along with the increasingly popular coffee drinking culture in society. Every business actor will of course consider the concept, target and location to start their business. Choosing a location near the university area is one of the potentials in the coffee shop business, one of which is the Kartasura area. This research then aims to 1) analyze the distribution pattern of coffee shops in Kartasura District, Sukoharjo Regency, 2) analyze hotspots for the existence of coffee shops in Kartasura District, Sukoharjo Regency, 3) analyze potential coffee shop business locations using the Geographic Information System in Kartasura District, Regency Sukoharjo. Kartasura District was chosen as the research study area because it is one of the economically advanced and rapidly developing Districts in Sukoharjo Regency and is the location where the three routes that form the golden triangle of Central Java and DIY meet. The population in this study were all coffee shops in Kartasura District. The data collection method in this research uses secondary data and primary data. Secondary data uses existing data and secondary data by carrying out field surveys. The analytical methods used in this research are Average Nearest Neighbor Analysis, Hot spot Analysis, and overlay. The results of this research show that 1) the distribution pattern of coffee shops in Kartasura is a random type, 2) based on hotspot analysis, it shows that there are 4 coffee shops that are coffee shop hot spots in Kartasura District, namely Coffee Shop Lightspace Coffee & Eatry, Coffee Shop Namdwa UMS , Coffee Shop Toleran Coffee, and Janji Jiwa Volume 404, 3) The area of potential coffee shop business is classified into 5 classes, namely: Very Low (0.75 km2), Low (5.6 km2), Medium (8.77 km2), High (4.89 km2), and Very High (4 .14 km2)..
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Distribution Patterns, Coffee Shop, Average Nearest Neighbor, Hotspot Analysis |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) |
| Divisions: | Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi |
| Depositing User: | WINDA MARDALETHA |
| Date Deposited: | 17 May 2024 03:59 |
| Last Modified: | 17 May 2024 03:59 |
| URI: | http://eprints.ums.ac.id/id/eprint/124011 |
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