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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan JURNAL SOSIAL HUMANIORA (JSH)
Susanti Withaningsih
Universitas Padjadjaran
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences

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Allometric equation of Paraserianthes falcataria (L.) and Anthocephalus cadamba Miq. for estimating carbon stocks Kinanto Prabu Werdana; Erri Noviar Megantara; Susanti Withaningsih; Yudha Hadiyanto Eka Saputra
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 21, No 2 (2024): July 2024
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v21i2.609-621

Abstract

Coal mining can increase land degradation and deforestation, so efforts are needed to ensure land use in post-mining areas. Therefore, mining companies must carry out land reclamation to restore the important function of forests by planting sengon laut (Paraserianthes falcataria (L.)) and burflower tree (Anthocephalus cadamba Miq.). In contrast to mining, which produces emissions and carbon that contribute to global warming, land reclamation helps absorb carbon and produce oxygen for living things. Therefore, a study was carried out to estimate the carbon stocks from reclamation activities at PT. Indobara Borneo. A quantitative approach through Stratified Random Sampling was applied in this study. Carbon estimation is carried out using allometric equations. The allometric equation of Paraserianthes falcataria (L.) is Y = 0.028D2,695, while the allometric equation of Anthocephalus cadamba Miq. is Y = 0.035D2,600. The total carbon stocks for burflower tree plants are 84.51 tons/ha with a CO2 sink potential of 974.73 tons/Ha, while the total carbon stocks for sengon laut plants are 86.18 tons/ha with a CO2 sink potential of 1355.49 tons/ha. The value of CO₂ sink and carbon stock indicates that there are environmental services to restore and improve vegetation.
Citra Destinasi Air Terjun Madakaripura: Analisis Sentimen Wisatawan di Google Review Lovinda Lusya Florenza; Awaludin Nugraha; Susanti Withaningsih; Reiza D. Dienaputra; Bambang Hermanto; Dina Oktavia
Jurnal Sosial Humaniora Vol 18 No 2 (2025)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j.24433527.v18i2.10419

Abstract

This study examines the digital destination image of MadakaripuraWaterfall by analyzing tourist sentiment expressed in Google Reviewposts from January 2024 to November 2025. The research is motivatedby unique governance issues, particularly the period of temporaryclosure declared by the local government while on-site operationscontinued, which triggered diverse tourist responses on digitalplatforms. The analysis was conducted using the Naïve Bayes sentimentclassification algorithm, word cloud visualization, word frequencyanalysis, and thematic analysis.The findings reveal that positive sentiment dominates (69.44%),primarily driven by appreciation for the natural beauty, sceniclandscape, and the unique “eternal rain” phenomenon. Neutralsentiment (8.18%) mainly consists of factual descriptions related toenvironmental conditions, accessibility, and practical visitorinformation. Meanwhile, negative sentiment (22.38%) is largelyinfluenced by governance-related issues, including the forced use of localguides, unclear pricing systems, and uncomfortable interactions withlocal stakeholders. These governance and service-quality issues areidentified as the main threats to the destination’s digital image.The study proposes several strategic recommendations, includingstrengthening community-based tourism (CBT), implementingtransparent and standardized pricing, enhancing capacity building forlocal guides, and optimizing social media–based visitor feedbackmechanisms.
Co-Authors Awaludin Nugraha Bambang Hermanto Dina Oktavia Erri Noviar Megantara Kinanto Prabu Werdana Lovinda Lusya Florenza Reiza D. Dienaputra Yudha Hadiyanto Eka Saputra