Ludwick Satria Romadoni
Department of Biology Education, Faculty of Education, Science, and Humanities, Universitas Muhammadiyah Malang, Indonesia

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Temporal analysis mangrove degradation and mangrove restoration based on culture and community in Papua Island, Indonesia Muhammad Habi Bulloh; Naia Naura Risanti; Hatta Hidayatulloh; Ludwick Satria Romadoni; Jerobiam Hamalua
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45194

Abstract

Background: Papua’s mangroves face severe anthropogenic pressures. While remote sensing provides planetary-scale data, a critical gap persists in contextualizing spatial models within localized indigenous socio-cultural realities. Objectives: This study investigates the spatiotemporal dynamics of mangrove deforestation and restoration across Papua (2001–2024) to quantify ecological trajectories, identify structural breakpoints, and evaluate community-driven conservation efficacy. Methods: Operating within a digital laboratory environment, Google Earth Engine (GEE) was utilized for spatial data extraction. Subsequently, segmented time-series modeling (Pettitt’s and Mann-Kendall tests) was executed in R to evaluate long-term ecological shifts. Results: Central and West Papua accounted for 68.8% of the 10,704.59 hectares lost. A 2011 structural breakpoint delineated rapid degradation escalation (2001–2016) at +34.11 ha/year (p<0.01). Conversely, the post-2017 phase demonstrated a robust recovery, decelerating degradation by 146.97 ha/year (p<0.01). This reversal strongly correlates with revitalized indigenous interventions, notably the customary Sasi institution. Conclusion: Integrating digital geospatial governance with local ecological knowledge effectively reverses severe environmental degradation. Legally codifying customary practices and utilizing remote sensing to strictly support indigenous conservation is imperative for advancing the Sustainable Development Goals (SDGs 13, 14, and 15).
Multi-target exploration and in silico molecular interaction analysis of imperatorin from bael fruit (Aegle marmelos) against EGFR, ESR1, and GSK3B Citra Lesmana; Nina Dwi Yulia; Ludwick Satria Romadoni; Mochamad Iffan; Muhammad Rifky Ardiansyah; Alanisya Octania Ramadhani
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45728

Abstract

Background: Cancer remains a major health burden. Aegle marmelos contains imperatorin, a furanocoumarin with broad pharmacological activity, but its specific oncogenic targets and polypharmacological mechanism remain largely unexplored. Methods: We predicted candidate targets using SwissTargetPrediction, built a protein-protein interaction network in STRING, and analyzed its topology in Cytoscape to identify hub proteins. We then ran reverse molecular docking in Webina, visualized the complexes in 3D using ChimeraX, and evaluated the ADME-Tox profile with SwissADME and ProTox 3.0. Results: Network analysis identified ESR1, GSK3B, and EGFR as the main hub targets. Docking showed stable binding affinities of -8.384 kcal/mol for ESR1, -7.932 kcal/mol for GSK3B, and -7.504 kcal/mol for EGFR, with interactions at essential catalytic residues. Imperatorin satisfied Lipinski's Rule of Five, showed high gastrointestinal absorption, and crossed the blood-brain barrier. ProTox 3.0 predicted an LD50 of 480 mg/kg (Class 4), with active signals for immunotoxicity and mutagenicity. Conclusion: Imperatorin from bael fruit (Aegle marmelos) forms stable multi-target interactions with ESR1, GSK3B, and EGFR with favorable drug-likeness, though functional validation in cellular models is still needed to confirm whether these interactions are activating or inhibitory.
Integrating environmental economic instruments and Airborne Laser Scanning precision within Indonesia’s carbon trading MRV framework Ludwick Satria Romadoni; Erdhi Setya Prayudha; K. Kuatman; Andina Novia Dewi Safira; Risa Rahma Rifada; Aisyah Mega Oktavia
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45808

Abstract

Background: Indonesia’s recent carbon policy shifts, particularly the establishment of the Carbon Unit Registry System (SRUK), demand high-precision measurement, reporting, and verification (MRV). However, current environmental regulations remain silent on explicitly recognized geospatial methods, creating a methodological gap in accurate carbon accounting. Objectives: This study aims to evaluate Airborne Laser Scanning (ALS) as a solution for Indonesia's MRV precision requirements by synthesizing its accuracy in tropical and mangrove ecosystems, and to assess the readiness of current regulations to adopt such remote-sensing standards. Methods: Using a structured narrative review based on the Scopus database and targeted searches, we synthesized 20 sources, comprising eight ALS biophysical studies and twelve primary Indonesian regulatory documents. Results: ALS consistently explains carbon density variability in upland tropical forests, though evidence for Indonesian mangroves remains limited to regionally uncalibrated cases. Crucially, the main barrier is not ALS's technical readiness, but the regulatory absence of an explicit remote-sensing MRV precision standard under the new SRUK framework. Conclusion: Technical standards for integrating ALS data must be explicitly developed by the SRUK authority. Furthermore, advancing mangrove-specific ALS calibration models is a critical next step for national carbon accounting.