Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sylva Scienteae
Chindy Ade Eriesta
Fakultas Kehutanan ULM
Agriculture, Biological Sciences & Forestry Environmental Science

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
KARAKTERISTIK ATRAKSI WISATA DESA TEGALREJO KECAMATAN KELUMPANG HILIR KABUPATEN KOTABARU Chindy Ade Eriesta; Kissinger Kissinger; Wahyuni Ilham
Jurnal Sylva Scienteae Vol 5, No 6 (2022): Jurnal Sylva Scienteae Vol 5 No 6 Edisi Desember 2022
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v5i6.7130

Abstract

Community based tourism is one of the village development efforts through the tourism sector, where the community is the main controller in development. The people of Tegalrejo village build a tourist area by considering the conservation of flora and fauna there so as not to be disturbed by human presence. This study attempts to analyze the characteristics of tourism in Tegalrejo Village. The method used in data collection is the method of field observation, interviews and multiple plots. The selection of sources is determined by purposive sampling. Data analysis of the characteristics of cave tourist attractions, culture and culinary were analyzed descriptively, vegetation data analysis used the Diversity IndexPariwisata berbasis masyarakat merupakan salah satu upaya pembangunan desa yang dilakukan melalui sektor pariwisata, Masyarakat desa Tegalrejo membangun kawasan wisata dengan mempertimbangkan konservasi flora fauna disana agar tidak terganggu dengan keberadaan manusia. Penelitian ini berupaya menganalisis karakteristik wisata  di Desa Tegalrejo. Metode pengumpulan data adalah observasi lapangan, wawancara dan metode petak ganda, Pemilihan narasumber yang ditentukan dengan purposive sampling. Analisis data karakteristik atraksi wisata goa, budaya dan kuliner dianalisis secara deskriptif, analisis data vegetasi menggunakan indeks Diversitas
Co-Authors Kissinger Kissinger Wahyuni Ilham