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INDONESIA
Jurnal Belantara
Published by Universitas Mataram
ISSN : 26147238     EISSN : 26143453     DOI : -
Core Subject : Education, Social,
Education Environmental Science
Jurnal Belantara (JBL) is a National Scientific Journal for academics, practitioners, and Bureaucracy in encouraging equitable management of natural resources and sustainable. Jurnal Belantara is a periodic journal published twice a year by the Forestry Studies Program of Mataram University with a focus on forestry and the environment.
Arjuna Subject : -
Articles 15 Documents
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Search results for , issue "Vol 9 No 1 (2026)" : 15 Documents clear
EFFECT OF PLOT SIZE ON ABOVE-GROUND CARBON STOCK ESTIMATES IN BERAU Nur Fajrin; Ali Suhardiman; Yosep Ruslim
Jurnal Belantara Vol 9 No 1 (2026)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v9i1.1184

Abstract

In designing data collection methods to estimate carbon stocks stored above and below the forest surface, plot size is a crucial factor that needs to be considered. This study aims to evaluate the effect of plot size differences on the results of above-ground carbon stock estimates at PT Wana Bakti Persada Utama, Berau Regency, East Kalimantan. This study is important because plot size is a fundamental component in forest inventory design that directly affects the accuracy, stability, and representativeness of carbon estimates. The selection of an inappropriate plot size can cause bias, either in the from of overestimation or underestimation of carbon stocks, thereby impacting the accuracy of data in supporting forest management planning and climate change mitigation. Data collection was carried out using a rectangular nested plot design with three sizes, namely (20×20 m), (20×50 m), and (20×100 m), for a total of 15 plots. All trees with a Diameter at Breast Height (DBH) ≥ 40 cm were measured and their above-ground biomass was calculated, then converted into carbon stocks. The results showed that the average carbon stock in small, medium, and large plots was 67.59 ± 22.21 tonsC/ha; 86.81 ± 37.51 tonsC/ha; and 89.67 ± 36.34 tonsC/ha, respectively. The t-test results show that there is no significant difference between plot sizes (α = 0.05), except between small and large plots. These findings confirm that plot size affects the accuracy of carbon stock estimates and needs to be carefully considered in the design of forest carbon inventories.
ASSESSING COFFEE ECOTOURISM STRENGTHS AND CHALLENGES IN CIBULAO VILLAGE THROUGH STORY MAPS Surya Hafizh; Dipo Caesario; Anisha Syafitri Tanjung; Rizki Zakiah; Silvia Novita; Dhea Sonya; Yunaldo Dwi Cahyadi; Rivantia Azzahra
Jurnal Belantara Vol 9 No 1 (2026)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v9i1.1187

Abstract

Cibulao Village has significant potential for ecotourism development, particularly through coffee cultivation. However, this potential requires strategic planning and effective promotion. This study analyzes the strengths, weaknesses, opportunities, and challenges of coffee ecotourism in Cibulao Village and develops a promotional media that supported by geographic information system using the ArcGIS StoryMaps platform. The methods included interviews, observation, and documentation involving managers, tourists, and the local community. The research results show good potential in developing coffee ecotourism, such as a tourism concept that promotes education on conservation coffee cultivation area and sites but still faces challenges in infrastructure and limited development possibilities due to land ownership and area status. The development of ArcGIS StoryMaps can be an alternative interactive promotional media based on geographic information system technology that is more effective and efficient because it shows the potential strengths, weaknesses, opportunities, and challenges that are depicted in real time tracking map and storytelling.
FOREST CONSERVATION PARTNERSHIPS FOR SUSTAINABLE COMMUNITY DEVELOPMENT IN LAMPUNG PROTECTED AREAS Denny Saputra Pratama; Indra Gumay Febryano; Eny Puspasari; Christine Wulandari
Jurnal Belantara Vol 9 No 1 (2026)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v9i1.1199

Abstract

The government has implemented the Conservation Partnership scheme as an effort to resolve land conflicts in conservation areas. This study aims to analyze the implementation of the Conservation Partnership in Gapoktanhut SHK Lestari in Wan Abdul Rachman Forest Park. The research uses a qualitative approach with a case study method. Data were collected through in-depth interviews, participant observation, and document analysis. The results show that the implementation of the Conservation Partnership in Cilimus Village has changed the relationship between the local community and the forest park management from land tenure conflict to a cooperative relationship through the recognition of land management access. The partnership involves the direct participation of the community in land management, supported by the institutional role of Forest Farmer Groups and the application of an agroforestry system, with 21 Forest Farmer Groups holding access permits, consisting of 2 KTH Main Class and 19 KTH Intermediate Class, involving 512 households and a total management area of approximately 790.94 ha. Community development is carried out through the use of non-timber forest products as sources of livelihood, including post-harvest processing activities largely undertaken by women’s groups, as well as the involvement of group members in forest patrols and conservation activities. On the other hand, the implementation of the partnership still faces several challenges, including dependence on middlemen for product marketing, low involvement of younger generations in farming activities, land area adjustments within permit arrangements, and the administrative burden of economic reporting experienced by some elderly group members.
CARBON STOCK ESTIMATION ON REPONG DAMAR LANDSCAPE IN PESISIR BARAT REGENCY, LAMPUNG PROVINCE Oktavian Rizky Risnanda; Indra Gumay Febryano; Arief Darmawan; Rudi Hilmanto; Intan Nurhajah
Jurnal Belantara Vol 9 No 1 (2026)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v9i1.1200

Abstract

Climate change mitigation activities in the forestry sector are currently widely carried out through the REDD+ scheme, especially in tropical regions. In the REDD+ scheme, information on forest carbon stocks in areas used as REDD+ activity locations will be essential. This study aims to estimate aboveground carbon stocks in the damar repong landscape in Pesisir Barat Regency, Lampung Province, which consists of three main land cover types, namely repong damar, natural forest, and mixed gardens. The approach used is a non-destructive method with a purposive sampling technique on 42 sample plots. Vegetation data were collected by measuring the diameter, height, and density of wood, then biomass was calculated using allometric equations and converted into carbon stocks. The results showed that the highest average carbon stock was found in repong damar at 269.74 tC/ha, followed by natural forest at 167.01 tC/ha, and mixed gardens at 96.61 tC/ha. Variations in carbon stocks in the three land covers were influenced by stand structure, tree size, and vegetation density. Statistical analysis showed the highest level of uncertainty in natural forest and the lowest in mixed gardens. This study confirms that traditional agroforestry systems such as damar repong have significant potential in mitigating climate change through high carbon storage.
LAND COVER CLASSIFICATION OF KRUENG LANGSA WATERSHED USING MAXIMUM LIKELIHOOD METHOD VANESSA VANESSA HILDA MANIHURUK; Iswahyudi; Syamsul Bahri
Jurnal Belantara Vol 9 No 1 (2026)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v9i1.1159

Abstract

Land cover classification plays an important role in supporting environmental management and spatial planning, particularly in watershed areas. However, recent studies have predominantly emphasized advanced machine learning approaches, with limited attention given to the applicability of conventional methods such as Maximum Likelihood Classification (MLC) in specific local contexts. This study aims to evaluate the performance of the MLC method in classifying land cover in the Krueng Langsa watershed using high-resolution RapidEye imagery. This research was conducted from July to October 2024 in the Krueng Langsa watershed, covering East Aceh, Aceh Tamiang, and Langsa City. Land cover classification was performed using supervised Maximum Likelihood Classification in ArcGIS 10.8.2, followed by accuracy assessment using a confusion matrix and kappa coefficient based on stratified random sampling. The results identified ten land cover classes, with dryland forest dominating the area at 38.01%, while open land had the smallest proportion at 0.80%. The classification achieved an overall accuracy of 89% and a kappa coefficient of 0.88, indicating an almost perfect level of agreement. These findings demonstrate that the MLC method remains effective and reliable for land cover classification in tropical watershed environments. This study highlights the continued relevance of conventional classification approaches and provides valuable baseline information for sustainable watershed management and regional planning in the Krueng Langsa area.

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