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GIS-Based Multi-Criteria Land Suitability Analysis for Five Tropical Forage Legumes in Highland Agroecosystems Qamara, Cori; Yuzaria, Dwi; Madarisa, Fuad; Budiarsa, Anugrah Aditya
Jurnal Ilmu Ternak Universitas Padjadjaran Vol 25, No 3 (2025)
Publisher : Fakultas Peternakan, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jit.v25i3.66009

Abstract

In this study, GIS-based land suitability analysis is used to optimize the cultivation of forage for goat production in Limapuluh Kota Regency, West Sumatra.  We assessed five important forages—cassava, Calliandra calothyrsus, Gliricidia sepium, Sesbania grandiflora, and Leucaena leucocephala—by incorporating a multi-criteria evaluation (including slope, soil characteristics, and climate conditions).  Results show clear agroecological niches: cassava flourishes extensively, even on marginal lands, C. calothyrus and G. sepium need specific adaptations to soil and climate,  Sesbania grandiflora excels as a high-protein choice in various zones,  whereas Leucaena leucocephala requires strict geographic targeting.  Processing protocols (sun-drying, co-feeding) and species-specific rehabilitation were implemented to address critical constraints such as soil acidity, elevation, and anti-nutritional compounds (tannins, mimosine). The study creates a new suitability classification framework that allows for precise zoning of forage development. The main recommendations are to focus on Sesbania grandiflora in central valleys, cassava on slopes at risk of erosion, and Gliricidia sepium in lowland regions, while limiting Leucaena leucocephala to areas with optimal microclimates. This method strengthens the resilience of smallholders by cutting down feed expenses, boosting goat productivity, and promoting sustainable land use in accordance with SDGs 2 (Zero Hunger) and 13 (Climate Action). Policy integration includes spatial planning maps along with targeted subsidy schemes for acid-tolerant legumes.
Analisis Komparatif Metode FFT Dan Least Squares Dalam Penentuan Komponen Pasang Surut Di Perairan Indonesia Al-Ghifari, Najwan; Budiarsa, Anugrah Aditya; Ritonga, Irwan Ramadhan; Riza, Muhammad; Sihotang, Zetsaona; Mandang, Idris
Jurnal Laut Khatulistiwa Vol 9, No 1 (2026): February
Publisher : Dept. Marine Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/lkuntan.v9i1.103907

Abstract

This study evaluates the performance of Fast Fourier Transform (FFT) and Least Squares (LS) methods in tidal analysis across four strategic locations representing Indonesia's diverse tidal regimes: Belitung, Bontang, Melonguane, and Natuna. Eight principal tidal components (O1, K1, M2, S2, N2, K2, P1, Q1) were analyzed. The results demonstrate that the Least Squares method is significantly superior, achieving an RMSE reduction of 79.2% to 94.0% compared to FFT. While tidal classifications based on Formzahl numbers remained consistent across both methods—identifying diurnal types in Belitung and mixed-prevailing semidiurnal types elsewhere—the LS method provided more precise harmonic constants. These findings recommend the LS method for high-accuracy operational tidal modeling and sea-level prediction in Indonesian waters.
Pengaruh ENSO terhadap Curah Hujan Tahunan di Wilayah Urban Balikpapan Berdasarkan Oceanic Niño Indeks Periode 1995–2024 Valennur, Muhammad Audric; Hidayat, Rafli Akbar; Anargya, Daniswara Alief Aydin; Budiarsa, Anugrah Aditya; Al-ghifari, Najwan
Jurnal Laut Khatulistiwa Vol 9, No 1 (2026): February
Publisher : Dept. Marine Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/lkuntan.v9i1.104008

Abstract

Global climate variability, particularly the El Niño–Southern Oscillation (ENSO), influences rainfall patterns in tropical regions, including Indonesia. Balikpapan City, as a coastal urban area, is highly vulnerable to changes in rainfall, while studies linking the ENSO index to local-scale rainfall remain limited. This study aims to analyze the relationship between ENSO variability and annual rainfall in the urban area of Balikpapan. The data used included annual rainfall from the Sultan Aji Muhammad Sulaiman Sepinggan Class I BMKG Station and the Oceanic Niño Index (ONI) issued by the National Oceanic and Atmospheric Administration (NOAA) during the period 1995–2024. ENSO variability is represented by annual extreme ONI values and analyzed using descriptive statistics and Pearson's correlation. The results show that annual rainfall in Balikpapan City tends to decrease during the El Niño phase and increase during the La Niña phase, although this pattern is not always consistent from year to year. Pearson correlation analysis shows a weak relationship between ENSO and annual rainfall, with a coefficient of determination (R²) value of 0.0365. These findings indicate that ENSO plays a role as one of the factors controlling rainfall variability in Balikpapan City, but it is not the sole dominant factor, so the influence of regional and local climate processes also needs to be considered.