Vania Tsani Deliana, - (2024) PEMODELAN POLA PERGERAKAN SPASIAL WISATAWAN YANG BERKUNJUNG KE KAWASAN JALAN ASIA AFRIKA DAN BRAGA KOTA BANDUNG MENGGUNAKAN TEKNIK FREQUENCIES DAN METODE KERNEL DENSITY ESTIMATION (KDE). S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Kawasan wisata Jalan Asia Afrika dan Braga di Kota Bandung seringkali dipadati wisatawan karena daya tarik sejarah, seni, serta keindahan malam hari. Dengan keberagaman aktivitas yang ditawarkan, pola pergerakan wisatawan menjadi dinamis dan padat, menjadikan kawasan ini ideal untuk memahami pergerakan wisatawan di Kota Bandung. Penelitian ini bertujuan untuk mengetahui pola pergerakan spasial wisawatan yang berkunjung ke Kawasan Jalan Asia Afrika dan Braga Kota Bandung. Metode penelitian yang akan digunakan untuk penelitian ini yaitu metode pendekatan deskriptif kuantitatif. Metode yang akan digunakan dengan menyebarkan kuesioner kepada wisatawan yang mengunjungi Kawasan Wisata Asia Afrika dan Braga. Dalam teknik pengolahan data dengan teknik frequencies menggunakan Statistical Program for Social Science (SPSS), pemodelan pola pergerakan spasial menggunakan flow line dan pemodelan kepadatan kunjungan wisatawan menggunakan metode Kernel Estimation Density (KDE). Hasil dari penelitian ini menunjukan wisatawan didominasi oleh pekerja yang sebagian besar menggunakan mobil pribadi dalam perjalanannya, hasil pola Pergerakan terdiri dari tiga pola Pergerakan, yaitu (1) single pattern yakni single point sebanyak 18%, (2) multiple pattern yakni base site 22%, stopover 14% dan chaining loop 1% dan (3) complex pattern yakni destination region loop 22% dan complex neighbourhood 23%. Kepadatan frekuensi kunjungan wisatawan terdapat di Kota Bandung lalu Kabupaten Bandung Barat dan Kabupaten Bandung. The tourist areas of Jalan Asia Afrika and Braga in Bandung are often crowded with tourists due to their historical, artistic, and nighttime attractions. However, no research has specifically modeled the spatial movement patterns of tourists in this area, resulting in an information gap in understanding visitation patterns that can support more effective management and development of tourist destinations. With the diversity of activities offered, tourist movement patterns are dynamic and dense, making this area ideal for understanding tourist movements in Bandung City. This study aims to determine the spatial movement patterns of tourists visiting the Jalan Asia Afrika and Braga areas of Bandung City. The research method that will be used for this research is a quantitative descriptive approach method. The method will be used by distributing questionnaires to tourists who visit the Asia Africa and Braga Tourism Areas. In data processing techniques with frequencies techniques using the Statistical Program for Social Science (SPSS), modeling spatial movement patterns using flow lines and modeling the density of tourist visits using the Kernel Estimation Density (KDE) method. The results of this study show that tourists are dominated by workers who mostly use private cars on their trips, the results of the movement pattern consist of three movement patterns, namely (1) single pattern, namely single point as much as 18%, (2) multiple patterns namely base site 22%, stopover 14% and chaining loop 1% and (3) complex pattern namely destination region loop 22% and complex neighborhood 23%. The density of the frequency of tourist visits is in Bandung City then West Bandung Regency and Bandung Regency.
| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?view_op=new_profile&hl=en ID SINTA Dosen Pembimbing: Shafira Himayah: 6776014 Anisa Nabila Rizki Ramadhani: 6885244 |
| Uncontrolled Keywords: | Pola Pergerakan, Sistem Informasi Geografis, Wisatawan. Movement Patterns, Geographic Information System, Travelers. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) L Education > L Education (General) |
| Divisions: | Fakultas Pendidikan Ilmu Pengetahuan Sosial > Program Studi Survey Pemetaan dan Informasi Geografi D-3 |
| Depositing User: | Vania Tsani Deliana |
| Date Deposited: | 07 Oct 2024 03:05 |
| Last Modified: | 07 Oct 2024 03:05 |
| URI: | http://repository.upi.edu/id/eprint/126852 |
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