Angrianto, Novaldi Laudi
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Challenges in Implementing Sustainable Forest Management in the Era of Globalization in Indonesia Imburi, Christian Soleman; Angrianto, Novaldi Laudi
West Science Agro Vol. 3 No. 04 (2025): West Science Agro
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsa.v3i04.2442

Abstract

This study examines the challenges of implementing Sustainable Forest Management (SFM) in Indonesia within the rapidly evolving context of globalization. Using a qualitative literature review of 10 Scopus-indexed articles, the analysis identifies key obstacles that hinder effective and sustainable forest governance. The findings reveal that institutional weaknesses—such as fragmented policies, weak law enforcement, and limited coordination among governmental agencies—remain central barriers. Economic pressures driven by global market demands for timber and agricultural commodities intensify deforestation risks and complicate the alignment between development goals and conservation priorities. Social challenges, including limited community participation, land tenure conflicts, and uneven distribution of benefits, further constrain the success of SFM initiatives. Additionally, environmental degradation, climate change impacts, and insufficient adoption of advanced monitoring technologies continue to undermine forest protection efforts. Global sustainability frameworks and certification schemes, while beneficial, introduce complex requirements that local stakeholders often struggle to meet. This study concludes that addressing SFM challenges in Indonesia requires strengthening institutional capacity, enhancing community empowerment, aligning economic incentives with conservation goals, and integrating advanced technologies to support evidence-based policymaking.
Analysis of Lipid Yield from Chaetoceros calcitrans Microalgae Extract Using Gas Chromatography Stepanus, Jamius Bin; Likumahwa, Fervin Mayos; Kesauliyaa, Olivia Marie Caesaria; Angrianto, Novaldi Laudi; Sumarna, Sabir; Islam, Muh. Fajar
Jurnal Kimia Fullerene Vol 10 No 2 (2025): Fullerene Journal Of Chemistry
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37033/fjc.v10i2.724

Abstract

Renewable energy (RE) is a solution to the threat of the upcoming energy crisis. The increasingly massive energy transition is expected to significantly reduce the use of fossil fuels. Microalgae are one of the potential sources of RE for bioenergy (biodiesel) production due to their lipid content. This research was conducted to determine the percentage of lipid components; free fatty acids (FFA), monoglycerides (MAG), diglycerides (DAG), and triglycerides (TAG) in Chaetoceros calcitrans microalgae and to compare lipid yields using two extraction methods: Bligh-Dyer (wet samples) and Soxhlet extraction (dry samples).The results for C. calcitrans extracted using the Bligh-Dyer method showed that the percentage of lipid components (FFA, MAG, DAG, and TAG) ranged from 5.44% to 17.10%, with a total of 47.92%, and the lipid yield from 6 g of wet sample was 5.07%.Meanwhile, for the C. calcitrans extract using Soxhlet method, it was found that the percentage of lipid components (FFA, MAG, DAG and TAG) ranged from 6.79 to 18.01% with a total of 63.08% and the lipid yield from 20 g of dry samples was 0. 44%.
INTEGRATING ETHNOFORESTRY AND REMOTE SENSING FOR A HOLISTIC ASSESSMENT OF FOREST HEALTH AND COMMUNITY WELL-BEING IN PAPUA Soleman, Christian; Angrianto, Novaldi Laudi; Kesauliya, Olivia Marie Caesaria
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i5.2488

Abstract

Conventional remote sensing often fails to capture the full picture of forest health, ignoring the nuanced knowledge of indigenous communities intrinsically linked to the environment. This study's objective was to develop a holistic framework for assessing forest health by integrating indigenous Papuan ethnoforestry knowledge with advanced remote sensing techniques, and analyzing the link to community well-being. A mixed-methods approach was employed, combining participatory mapping and interviews (collecting local indicators) with time-series analysis of Landsat imagery (deriving biophysical metrics like NDVI). The findings showed a strong positive correlation between community perception and satellite indices. Crucially, the integrated approach revealed subtle degradation (e.g., loss of culturally significant species) undetectable by remote sensing alone. A direct link was established between this degradation and a decline in community well-being (e.g., access to traditional medicine). This integrated framework provides a more accurate and socially relevant assessment, enhancing monitoring, empowering local communities for co-management, and ensuring sustainable livelihoods.