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All Journal Jurnal Sylva Lestari
Trio Santoso
Department of Forestry, Faculty of Agriculture, University of Lampung
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Energy Environmental Science Materials Science & Nanotechnology

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Clusterization of Agroforestry Farmers using K-Means Cluster Algorithm and Elbow Method Trio Santoso; Arief Darmawan; Novita Sari; Muhammad Ariq Fadhal Syadza; Edelweis Cikal Bunga Himawan; Wahyu Abdul Rahman
Jurnal Sylva Lestari Vol. 11 No. 1 (2023): January
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v11i1.646

Abstract

Proper policy is crucial to support the development of forest areas. Therefore, good planning based on supporting data is crucial. All information considering farmers’ conditions and interests in Talang Mulya Village, situated around Wan Abdul Rachman Forest Park, is urgently needed. So far, policies and programs launched have only been general and inappropriate to implement for the whole farmers. The main objective of this research was to perform fast agroforestry farmers clustering with differences in the main characters to each other using the K-means clustering algorithm and Elbow method based on 10 variables of social and land cultivation conditions. Results showed that agroforestry farmers in Talang Mulya Village could be best divided into 4 clusters with the proportion of 30%, 40%, 23.3%, and 6,67% for clusters 1, 2, 3, and 4, respectively. Agroforestry farmers were dominated by farmers with the specific characteristics of the lowest number of families working on the land and the cultivated main plant species with a sufficient level of formal education, family dependents, farming experience, household members that help in the farm, size of land area, expenditure and income from land cultivation, and maintenance activities. The research results could be used as a consideration for determining specific and targeted activity programs to increase the cultivation capabilities and welfare of farmers in Talang Mulya Village. Keywords: Agroforestry, Elbow Method, K-means Clustering, Tahura Wan Abdul Rachman, Talang Mulya Village
Biomass Productivity of Invasive Mantangan (Merremia peltata) under Various Canopy Covers Duryat; Santori; Trio Santoso; Melya Riniarti; Rikha Aryanie Surya
Jurnal Sylva Lestari Vol. 11 No. 1 (2023): January
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v11i1.637

Abstract

Mantangan (Merremia peltata) is the most important invasive species in Bukit Barisan Selatan National Park (BBSNP) due to its fast-growing and spreading that potentially damage and threat biodiversity conservation. The objectives of this study were to determine the biomass stock and productivity of mantangan and the nutrient content of mantangan biomass grown in various classes of canopy cover. Stratified sampling was employed as a sampling method on three classes of canopy cover, i.e., sparse (light intensity > 70%), medium (light intensity 40 -70%), and dense (light intensity < 40%). A destructive method was used to collect biomass samples. The biomass harvesting was conducted twice. The first was conducted to determine biomass storage and nutrient content, and the second was conducted a month later to measure biomass productivity. The macronutrient content (N, P, K, and C-Organic) of mantangan was analyzed at the Soil Science Laboratory, Faculty of Agriculture, University of Lampung. The results showed that the biomass stock and productivity differed in each canopy cover class. The highest biomass stock was found in sparse canopy cover (192 kg/ha), followed by medium (188 kg/ha) and dense (179 kg/ha). Biomass productivity was highest in sparse canopy cover (93 kg/ha/month), followed by medium (79 kg/ha/month) and dense (83 kg/ha/month), respectively. Surprisingly, the nutrient content and nutrient productivity of mantangan grown on medium canopy cover were higher than that of dense and sparse. Keywords: Biomass, Bukit Barisan Selatan National Park, invasive alien species, mantangan
Co-Authors Arief Darmawan Duryat Edelweis Cikal Bunga Himawan Melya Riniarti Muhammad Ariq Fadhal Syadza Novita Sari Rikha Aryanie Surya Santori Wahyu Abdul Rahman