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All Journal Journal of Tropical Soils JTSL (Jurnal Tanah dan Sumberdaya Lahan)
Sugiarto, Michelle Talisia
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Agriculture, Biological Sciences & Forestry Environmental Science

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Integrating Soil Properties and Vegetation Indices for Modeling Potato Productivity Sudarto, Sudarto; Putra, Aditya Nugraha; Fauziah, Dwi Christina; Nugroho, Agung; Suryoprojo, Adithya Riefanto; Prasetya, Novandi Rizky; Sugiarto, Michelle Talisia
JOURNAL OF TROPICAL SOILS Vol. 30 No. 3: September 2025
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2025.v30i3.159-173

Abstract

Global potato production reached approximately 383 million metric tons in 2025, with Indonesia contributing around 1.22 million metric tons (0.32% of global output). However, the sustainability of Indonesia’s potato production is increasingly threatened by soil quality degradation in key growing regions. Existing predictive studies have primarily focused on soil chemical properties, with limited incorporation of remote sensing technologies. This study investigates the potential of Unmanned Aerial Vehicle (UAV) as a high-resolution, non-destructive tool for estimating potato yield using vegetation index transformations. Utilizing a split-plot experimental design across elevation gradients, we integrated soil properties with UAV-derived vegetation indices—Visible Atmospherically Resistant Index (VARI), Green Leaf Index (GLI), and Normalized Green-Red Difference Index (NGRDI). Results reveal that total nitrogen, base saturation, and bulk density significantly influence yield variability, and can be accurately estimated using NGRDI, GLI, and a modified GLI (GLI CS), respectively. A multiple linear regression model was developed to predict potato yield = 24.22 + 7.26(NGRDI) + 9.87(GLI) + 28.42(GLI CS). This research demonstrates the efficacy of UAV-based spectral analysis in improving yield-prediction models, offering a scalable, precise approach for sustainable potato cultivation. Future work should incorporate machine learning to improve model robustness and assess applicability across varied agro-ecological contexts.
LINKING SOCIAL DRIVERS, WATER QUALITY, AND ECONOMIC VALUE IN FOREST FRAGMENTS SURROUNDING SPRINGS Sugiarto, Michelle Talisia; Putri, Auralia Novriani; Sinaga, Felix Bintara Putra; Prijono, Sugeng; Sari, Rika Ratna; Saputra, Danny Dwi
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 2 (2026)
Publisher : Departemen Tanah, Fakultas Bio-industri Pertanian dan Kehutanan, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.2.8

Abstract

Spring ecosystems in forest fragments provide important environmental services, but their economic value is rarely included in management decisions. Most management efforts focus only on physical protection, while the way visitors value these ecosystems receives little attention. This study aims to estimate the economic value of spring ecosystem services and analyze the factors influencing visitors’ willingness to pay (WTP). This study also examines the relationship between WTP, water quality indicators, and differences in ecological conditions across several categories of forest fragments. Observations were conducted at sixteen spring locations in East Java, Indonesia. These locations represent large and small forest fragments and two management orientations, namely instrumental and relational. Data on the social and psychological characteristics of visitors were combined with several biophysical indicators, including water quality. Principal component analysis (PCA) was applied to analyze these variables, and economic efficiency was evaluated using an adjusted land equivalent ratio (LER). The results show that WTP is more influenced by visit experience, visitor trust in management, and perceived benefit efficiency than by basic demographic characteristics alone. Fragments with an instrumental orientation show higher economic efficiency compared to those with a relational orientation. Meanwhile, water quality in fragments with a relational orientation is much better, as indicated by high DO and TDS levels and greater and more stable discharge values. These findings indicate differences between economic performance and ecological conditions across forest fragment categories. Therefore, integrating social, ecological, and governance dimensions is essential for developing effective conservation strategies for springs in forest fragments.
Co-Authors Aditya Nugraha Putra, Aditya Nugraha Fauziah, Dwi Christina Nugroho, Agung Prasetya, Novandi Rizky Putri, Auralia Novriani Rika Ratna Sari Saputra, Danny Dwi Sinaga, Felix Bintara Putra Sudarto Sudarto Sugeng Prijono Suryoprojo, Adithya Riefanto