cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota palu,
Sulawesi tengah
INDONESIA
Warta Rimba
Published by Universitas Tadulako
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Education
Arjuna Subject : -
Articles 2 Documents
 1 
Search results for , issue "Vol 10, No 3 (2022)" : 2 Documents clear
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
POTENSI PENGELOLAAN HUTAN RAKYAT DI DESA SIBEDI SULAWESI TENGAH Abdul Rahman; Golar Golar; Syukur Umar; Sudirman Dg. Massiri; Anwar Anwar; Hendra Pribadi; Moh Syam Guslim
Jurnal Warta Rimba Vol 10, No 3 (2022)
Publisher : Universitas Tadulako

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

Abstract

The potential for community forest management with forests has been going on for a long time, because land management with forestry plants provides benefits for people's lives. The limited knowledge and education of the Sibedi villagers caused some villagers to encroach on the forest. This study aims to determine the potential of community forests, community interaction in managing forest resources in Sibedi Village, Marawola District, Sigi Regency. This study uses a survey method to identify communities that  community forests management. The data analyzed are descriptive and qualitative. The results show is potential for and community interaction with forest resources in Sibedi Village. The level of dependence on community forests in Sibedi Village, some people understand the importance of the existence of forest resources. The community understands that the existence of forest resources can open up opportunities for them to be managed in order to meet their family's needs and the economy as a result of managing forest resources.

Page 1 of 1 | Total Record : 2

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 10, No 3 (2022) Vol 9, No 3 (2021) Vol 9, No 2 (2021) Vol 9, No 1 (2021) Vol 8, No 4 (2020) Vol 8, No 3 (2020) Vol 8, No 2 (2020) Vol 8, No 1 (2020) Vol 7, No 4 (2019) Vol 7, No 3 (2019) Vol 7, No 2 (2019) Vol 7, No 1 (2019) Vol 6, No 3 (2018) Vol 6, No 2 (2018) Vol 6, No 2 (2018) Vol 6, No 1 (2018) Vol 6, No 4 Vol 5, No 1 (2017) Vol 4, No 2 (2016) Vol 4, No 1 (2016) Vol 3, No 2 (2015) Vol 3, No 1 (2015) Vol 3, No 1 (2015) Vol 2, No 2 (2014) Vol 2, No 2 (2014) Vol 2, No 1 (2014) Vol 2, No 1 (2014) Vol 1, No 1 (2013) Vol 1, No 1 (2013) Vol 6, No 2 More Issue