Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Statistika Terapan (JSTAR)
Sandra Berliana Putri
IPB University, Indonesia
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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

Found 1 Documents
Search

 1 
FAKTOR-FAKTOR YANG MEMENGARUHI INDEKS KETAHANAN PANGAN DI PROVINSI NUSA TENGGARA TIMUR MENGGUNAKAN ANALISIS DATA PANEL Sandra Berliana Putri
Jurnal Statistika Terapan (ISSN 2807-6214) Vol 6 No 1 (2026): Jurnal Statistika Terapan
Publisher : Badan Pusat Statistik Provinsi NTT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64930/jstar.v6i1.140

Abstract

Introduction: Labuan Bajo is designated as one of Indonesia’s five super priority tourism destinations. Background Problems: Population growth and rapid development of the Labuan Bajo tourism destination have had a significant spatial impact on the Manggarai Barat Regency. Novelty: This study aims to analyze land cover changes in the Komodo District, Manggarai Barat Regency, during the period 2022-2024, predict land cover in 2027, and then analyze its relationship with sustainable tourism development. Research Method: The data used in this study consists of land cover maps, road maps, and National Digital Elevation Model maps sourced from ESRI through Living Atlas and the Geospatial Information Agency. Land change potential modelling was conducted using an Artificial Neural Network with a Multi-Layer Perceptron structure. Finding/Results: The land cover change modelling shows that 90.76% of the land cover can be mapped correctly. The validity test results also indicate that the model performs very well with a Kappa value of 0.86009, making it suitable for predicting future land cover. The 2027 land cover prediction shows that compared to 2022, trees will decrease by 707.70 ha, while built-up area and rangeland will increase by 445.75 ha and 340.24 ha, respectively.
Co-Authors