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All Journal JURNAL BUDIDAYA PERTANIAN Agroland: Jurnal Ilmu-ilmu Pertanian
Talakua, Silwanus
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Agriculture, Biological Sciences & Forestry

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Evaluasi Kesesuaian Lahan Berbasis SIG Untuk Tanaman Cengkih, Pisang, dan Ubi Kayu di DAS Wai Ela, Negeri Lima, Pulau Ambon Hatulely, Gresi; Haumahu, J P; Osok, Rafael M; Talakua, Silwanus
JURNAL BUDIDAYA PERTANIAN Vol 17 No 2 (2021): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp/2021.17.2.128

Abstract

The characteristics and quality of land resources are important things that must be considered in the planning, utilization and management of land for agricultural purposes. The purposes of this research were to describe land characteristics and quality, and to determine the suitability class, subclass, and limiting factors for clove (Zysygium armoticum), banana (Musa sp), and cassava ( Manihot esculenta Crant.) crops in Wai Ela Watershed. The method used in this study was a survey with land units as a fieldwork map which resulted from overlying four components, namely slope class, lithology formation, soil, and land uses. Field data collection was conducted following the observation lanes at 15 selected sample areas representing 72 land units. Data analysis was carried out by using a geographic information system (GIS), involving: (1) SRTM image analysis to produce topography class, (2) maps overlay to produce land units, and (3) attribute data processing to produce land suitability class. The study results showed that the land suitability for clove consisted of the suitable class of S2 (21.91 ha) and S3 (327.89 ha), and not-suitable, N (1069.85ha), with limiting factors being flooding, soil depth, and slope steepness. Land suitability for bananas consisted of the suitable class of S3 (501.70 ha), and not-suitable, N (686.99 ha) with limiting factors being flooding, erosion, and slope steepness; whereas land suitability for cassava consisted of the suitable class of S3 (501.70 ha) and not-suitable, N (917.96 ha), with limiting factors being flooding, slope steepness, and erosion.
Analysis of Physical Characteristics and Soil Degradation Due to Erosion and Rehabilitation Recommendation Based on GIS in Protected Forest Area of Mount Sirimau Tupanno, Carla E; Talakua, Silwanus; Soplanit, Rudy; Osok, Rafael M
JURNAL BUDIDAYA PERTANIAN Vol 19 No 1 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.1.58

Abstract

Forest areas are designated as protected forests if they function as a provider of clean water reserves, erosion control, city lungs or other functions. Disruption of forest land resources has an impact on changes in the physical properties of the soil and soil degradation due to erosion. Objectives of this study were: 1) to examine the relationship between soil physical properties, 2) to determine soil degradation due to erosion, 3) to examine the relationship between soil physical properties and the level of soil degradation due to erosion, 4) to determine recommendations for land rehabilitation. Research observations were made based on 15 sample areas representing 212 land units. All analyzes were carried out based on Geographic Information Systems (GIS). The physical properties of the soil studied included texture, structure, pore distribution, permeability, particle density and oven dry mass density; whereas soil degradation analysis was based on RUSLE: A=RKLSCP (Renard et al., 1997), and correction of the erosion model A=0.2547RKLSCP (Talakua S.M. and Osok, 2017. The rehabilitation recommendations analyzed were erosion tolerance, potential erosion and CP-maximum. Study results were: 1) The correlation between physical properties was significant (P-value = 0.000*-0.018*) with a positive correlation coefficient (0.163-0.999) and negative one (0.199-0.998); 2) The average erosion rate was: light 3.60 t/ha/year (1425.20 ha), moderate 32.03 t/ha/year (410.28 ha), heavy 108.95 t/ha/year (946 .2 ha), very heavy 426.83 t/ha/year (457.44 ha); 3) There was a significant correlation between the physical properties of the soil and the amount of erosion with a P-value = 0.000*–0.029* with a positive (0.152-0.161) and a negative (0.150-0.151) correlations; 4) Recommendation for rehabilitation are agroforestry patterns combined with tillage and planting of plants according to contour lines on slopes of 0–8%, planting grass in strips, planting low ground cover on high density plantation crops and maintaining secondary and primary forests.
Analisis  Tingkat Kerawanan Longsor Berbasis SIG dan Faktor Dominan Dengan Regresi Stepwise Sebagai Dasar Mitigasi di DAS Wai Heru Kota Ambon Anis, Normawati; Talakua, Silwanus; Osok, Rafael M.
Agroland: Jurnal Ilmu-ilmu Pertanian Vol 33 No 2 (2026): Agustus
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/agrolandnasional.v33i2.2986

Abstract

Penelitian ini meliputi DAS Wai Heru Kota Ambon seluas +764, 68 Ha. Tujuannya untuk menghasilkan data karakteristik lahan yang berkaitan dengan kerawanan Longsor, tingkat kerawanan longsor, analisis faktor dominan yang mempengaruhi kerawanan logsor serta upaya mitigasinya. Penelitian ini menggunakan metode pengumpulan data di lapangan antara lain pengamatan jenis tanah, kemiringan lereng, penggunaan lahan, dan pengambilan data curah hujan. Penetapan tingkat kerawanan longsor secara akademik dilakukan melalui analisis geospasial terhadap parameter-parameter kerawanan longsor dengan program ArcGIS10.8 serta metode regresi terbaik stepwise untuk penentuan fakot dominan terhadap kerawanan longsor. Hasil analisis  menunjukan tingkat kerawanan longsor berkisar dari kelas kerawanan longsor rendah ,sedang sampai tinggi. Sedangkan hasil analisis regresi stepwise menunjukkan faktor – faktor kerawanan longsor antara lain : kemiringan lereng, curah hujan, jenis tanah, geologi dan tutupan lahan, secara signifikan berpengaruh terhadap tingkat kerawanan longsor dengan faktor geologi sebagai faktor dominannya. Upaya mitigasi dapat dilakukan secara edukasi, vegetasi dan rekayasa teknis.
Co-Authors Anis, Normawati Hatulely, Gresi Haumahu, J P Osok, Rafael M Osok, Rafael M. Soplanit, Rudy Tupanno, Carla E