Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Warta Rimba Journal of Social Research
Ida Arianingsih
Universitas Tadulako
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALISIS SEBARAN TUTUPAN VEGETASI MENGGUNAKAN CITRA LANDSAT 8 DI KAWASAN HUTAN PENDIDIKAN UNIVERSITAS TADULAKO Balqish Balqish; Akhbar Akhbar; Ida Arianingsih
Jurnal Warta Rimba Vol 10, No 3 (2022)
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Educational Forest is an education medium which has purpose to support and increase the education quality about the introduction and function of forest. An important information is needed in order to manage the Educational Forests it was the vegetation distribution in the forest. By determining Tadulako University Education Forest as a forest with specific purpose in limited production forest region which is located in Donggala Regency, Central Sulawesi Province as wide as ± 1.813 hectare as the training and education forests since August, 26th 2016 (SK.661/MenLhk/Setjen/PLA.O/8/2016) and no research has been conducted about vegetation distribution, therefore it needs to do a research in order to analyze the vegetation distribution by using descriptive method in unsupervised classification to obtain the data by using Citra Landsat 8 and ArcGis 10.0 software, and field survey method to obtain the data in Educational Forests. The results of vegetation distribution by using Citra Landsat 8 which is recorded in 2017 path/row 114/61 in Educational Forest, obtained results that the vegetation distribution in Tadulako University Education Forests has width ± 1.813 ha which is dominated by forest wide as 1.137,26 ha (62,71 %) with distribution pattern randomly and evenly. The others vegetation distribution are shrubs as wide as 641,20 ha (35,36 %) and cloud cover as wide 39,66 ha (1,94 %). The results of the vegetation distribution map analysis in this research has accuracy rate of 86,11 %, it means that the vegetation distribution map fulfill the standards of accuracy interpretation and can be used appropriately in order to know the vegetation distribution in Tadulako University Education Forests
Analysis of Land Cover Changes in the Forest Area of Lindu Sub District Using Sentinel 2A Images Misrah Misrah; Ida Arianingsih
Journal of Social Research Vol. 4 No. 6 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i6.2568

Abstract

Land cover change in forest areas are complex phenomena that have ecological, social, and economic impacts. Remote sensing is very useful for monitoring and mapping land cover changes because it can provide information about the earth's surface quickly, accurately, easily, and covers a wide area. Sentinel-2A imagery is a satellite remote sensing data with a high spatial resolution and has been widely used for land cover mapping. The study intends to analyze land cover changes in the forest area of Lindu District using Sentinel-2A imagery. The study was conducted in the forest region of Lindu Sub District, Central Sulawesi Province. The study found that the accuracy level of the classification output was 97.47% (Overall Accuracy) and 88.20% (Kappa Accuracy). The types of land cover produced consisted of forests, dryland agriculture, shrubs, grasslands, rice fields, swamp shrubs, and water bodies. Land cover that experienced changes were forests (decreased by 883.13 Ha), grasslands (decreased by 7.56 Ha), dryland agriculture (increased by 819.2 Ha), paddy field (decreased by 1.2 Ha), open land (increased by 36.31 Ha), and shrubs (increased by 28.23 Ha, swamp shrubs (increased by 9.51 Ha), water bodies (decreased by 1.36 Ha).
Co-Authors Akhbar Akhbar Balqish Balqish Misrah Misrah