EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN CABAI RAWIT DI KECAMATAN WAGIR, KABUPATEN MALANG

Land characteristics are factors that affect crop productivity. Different conditions of land characteristics will cause differences in crop productivity. Evaluation of land suitability can be used as a basis in assessing land quality to determine the factors of land characteristics that cause differences in crop productivity. The purpose of this study was to determine actual land suitability for cayenne pepper, determine which land characteristic affect crop productivity, and modify land suitability based on actual productivity suitability classes. This study was conducted in Wagir District, Malang Regency with a survey method on 8 Land Map Units (LMU) with 42 observation points. Quantitative parameters observed in this study include soil texture, pH, CEC, C-Organic, base saturation, N-total, P-available, exchangeable K, Ca, Mg, Na, and productivity of cayenne pepper in the field. Data analysis was performed by correlation test and multiple regression with the stepwise method. The results showed the actual land suitability class of cayenne pepper in the study area was S3 and N. Modifications to the characteristics of the land that most influence the productivity of cayenne pepper in the field, namely the pH of the soil produce new criteria with classes S1: 6.0-7.6; S2: 5,7–6,0; S3: 4,6-5,7; and N: <4,6. The land suitability assessment using the modified criteria resulted in the S3 conformity class, which was similar to the percentage productivity class and the N conformity class that was similar to the percentage productivity class.

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EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN NANAS DI DAS MIKRO SUPITURUNG KECAMATAN PLOSOKLATEN KABUPATEN KEDIRI JAWA TIMUR

Jurnal Tanah dan Sumberdaya Lahan ◽

10.21776/ub.jtsl.2021.008.2.22 ◽

2021 ◽

Vol 8 (2) ◽

pp. 515-525

Author(s):

Sarah Nur Shabrina ◽

Mochtar Lutfi Rayes ◽

Christanti Agustina

Keyword(s):

Land Suitability ◽

Survey Method ◽

Boundary Line ◽

Potential Productivity ◽

Suitability Evaluation ◽

Land Suitability Evaluation ◽

Suitability Assessment ◽

Stepwise Method ◽

Land Suitability Assessment ◽

Line Analysis

Fruit plants in Kediri Regency are classified as having good economic potential, one of which is pineapple. Pineapple plants in Kediri Regency have differences in productivity in each sub-district. The results of interviews with local farmers indicated that the Supiturung Micro Watersheds in Plosoklaten District had low pineapple productivity and were not yet optimal. Therefore, this study aimed to determine the factors causing differences and less optimal productivity of pineapples in the Supiturung Micro Watersheds and analyze the land suitability assessment of pineapple plants in the region. This study used a survey method with a physiographic approach to 10 Land Map Units (LMU) and determined 20 observation points as representatives. Data analysis was performed through correlation and multiple regression tests with the stepwise method to determine the land characteristics that most significantly affected pineapple productivity. Modification of the suitability class and modification of the criteria was carried out utilizing boundary line analysis, with class boundaries according to FAO (1976), namely class S1 (80-100%), S2 (60-80%), S3 (40-60%), and N (<40%) of the potential productivity. The land suitability evaluation results of pineapple plants in the Supiturung Micro Watersheds were included in land suitability classes S2, S3, and N. Based on the stepwise method analysis, the texture is a significant characteristic affecting the productivity of pineapples (p <0.05) with a correlation coefficient value of 0.838. The modification of land suitability criteria with boundary line analysis resulted in changes in one land characteristic, namely soil texture S2, S3, and N. Initially, the rough class included in the N class was changed to S2 level along with the slightly rough level.

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KESESUAIAN LAHAN DAN PRODUKTIVITAS UBI CILEMBU SEBAGAI KOMODITAS UNGGULAN DI KABUPATEN SUMEDANG

ZIRAA'AH MAJALAH ILMIAH PERTANIAN ◽

10.31602/zmip.v44i3.2129 ◽

2019 ◽

Vol 44 (3) ◽

pp. 357

Author(s):

Mujiono Mujiono ◽

Kurniawati Sugiyo

Keyword(s):

Sweet Potato ◽

Crop Productivity ◽

Land Suitability ◽

Sweet Potatoes ◽

Suitability Assessment ◽

The North ◽

Land Suitability Assessment ◽

Relationship Of ◽

The Relationship ◽

Area Of Origin

This study aimed to determine the suitability of Cilembu sweet potato land. Land suitability assessment in this study was carried out by a method of matching between crop productivity and land characteristics as parameters with land suitability class criteria that have been prepared based on usage requirements or growing requirements of plants or other commodities evaluated. The results showed that 33% of the area in Sumedang district was physically very suitable for planting Cilembu sweet potato which covers the area of origin of Cilembu sweet potato as well as the surrounding area and areas in the north of the district. High yam productivity is found in the west of the district, including the area of origin of Cilembu sweet potatoes and their surroundings. The relationship of land suitability between Cilembu yam and productivity of Cilembu yam is shown by the alignment areas that are in harmony, (-), not suitable (+) and not suitable. The alignment areas that need attention are the aligned (-) and non-aligned (+) regions.

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Evaluasi Kesesuaian Lahan Tanaman Kacang Tanah (Arachis hipogeae L.) di Desa Werwaru Kecamatan Pulau Moa

JURNAL BUDIDAYA PERTANIAN ◽

10.30598/jbdp.2018.14.1.35 ◽

2019 ◽

Vol 14 (1) ◽

pp. 35-40

Author(s):

Marlin J Oraplawal ◽

Johanis P Haumahu ◽

Robby G Risamasu

Keyword(s):

Growth Period ◽

Land Suitability ◽

Limiting Factors ◽

Survey Method ◽

Quality Factors ◽

Land Area ◽

Suitability Assessment ◽

Effective Depth ◽

Land Suitability Assessment

This study was aimed to determine the limiting factors for peanut plants found in the field and establish land suitability class for peanuts in Werwaru Village, Moa Island Sub-District Western South Maluku District. The method used in this research was survey method. Distance observation was free survey, by using identification observation type (boring), and pit profile. Based on the actual land suitability assessment, it was known that in the research location there were several characteristic and quality factors of the land that became the limiting factors on the growth of peanut crops, i.e: rainfall factor during growth period (wa), effective depth (r), C-organic (nr), slope (s). Based on the land area improvement action for peanut crops were in the S2 and S3 classes. The recommended land units for peanut plants were: for class S2: L0a1D, L0a3A, L0a3B, L0a3C, L0a3D, L1a1D, L1a3B, L2a1D, L2a3B with area 1942,13 ha or 36.1 percent and S3: L0a2E, L1a2E, L2a2E covering an area of 219.12 ha or 4.1 percent. Keywords: evaluation of land suitability, peanuts, Werwaru Moa Island ABSTRAK Penelitian ini bertujuan untuk menentukan factor-faktor pembatas untuk tanaman kacang tanah yang terdapat di lapangan dan menetapkan kelas kesesuaian lahan untuk tanaman kacang tanah di desa Werwaru Kecamatan Pulau Moa Kabupaten Maluku Barat Daya. Metode yang digunakan dalam penelitian ini adalah metode survey. Jarak observasi yang digunakan adalah free survey, dengan menggunakan tipe pengamatan identifikasi (boring), dan profil pit. Berdasarkan hasil penilaiaan kesesuaian lahan aktual diketahui bahwa pada lokasi penelitian terdapat beberapa faktor karakteristik dan kualitas lahan yang menjadi faktor pembatas terhadap pertumbuhan tanaman kacang tanah yakni: faktor curah hujan pada masa pertumbuhan (wa), kedalaman efektif (r), C-organik (nr), Kemiringan lereng (s). Berdasarkan tindakan perbaikan satuan lahan yang direkomendasikan untuk tanaman kacang tanah yaitu pada kelas S2 dan kelas S3. Satuan lahan yang direkomendasikan untuk tanaman kacang tanah yakni: Untuk kelas S2: L0a1D, L0a3A, L0a3B, L0a3C, L0a3D, L1a1D, L1a3B, L2a1D, L2a3B dengan luas 1942,13 ha atau 36,1 persen dan S3: L0a2E, L1a2E, L2a2E dengan luas 219,12 ha atau 4,1 persen. Kata kunci: evaluasi kesesuaian lahan, kacang tanah, Werwaru Pulau Moa

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Mapping of Land Suitability for Rambutan (Nephelium lappaceum) in Community Agroforestry Land at Gunung Ambat Village and Simpang Kuta Buluh Village

Journal of Tropical Soils ◽

10.5400/jts.2020.v25i2.107-117 ◽

2020 ◽

Vol 25 (2) ◽

pp. 107

Author(s):

Rahmawaty Rahmawaty ◽

Ridwanti Batubara ◽

Abdul Rauf ◽

Sintike Frastika

Keyword(s):

Global Positioning System ◽

Root Zone ◽

Land Suitability ◽

Survey Method ◽

Limiting Factor ◽

Suitability Assessment ◽

Nephelium Lappaceum ◽

Global Positioning ◽

Land Suitability Assessment ◽

North Sumatra

Rambutan (Nephelium lappaceum) is Sapindaceae family, commonly found in agroforestry land, owned by the community in Langkat District, North Sumatra Province as One of Multy Purpose Tree Species. This study aimed to asses and map the distribution land suitability for N. lappaceum. This research was conducted in Gunung Ambat Village and Simpang Kuta Buluh Village, Sei Bingai Sub District, Langkat Regency using survey method. The soil samples data was collected in the field based on the land unit. Land suitability assessment was evaluated using matching method. To map the distribution of land suitability, the Geographic Information System (GIS) was used. Global Positioning System (GPS) also was used in this study to record the coordinate points of each soil sample from the field. The results indicate that the actual land suitability classes for N. lappaceum were dominated by moderately suitable (S2) (97.56%) in Gunung Ambat Village and moderately suitable (S2) (52.92%) in Simpang Kuta Buluh Village. The water availability (wa) and root zone medium (rc) were the dominant limiting factor in this area.

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Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices

Land ◽

10.3390/land10020223 ◽

2021 ◽

Vol 10 (2) ◽

pp. 223

Author(s):

Rubaiya Binte Mostafiz ◽

Ryozo Noguchi ◽

Tofael Ahamed

Keyword(s):

Remote Sensing ◽

Satellite Remote Sensing ◽

Agricultural Land ◽

Expert Knowledge ◽

Vegetation Indices ◽

Land Suitability ◽

Assessment System ◽

Yield Estimation ◽

Suitability Assessment ◽

Land Suitability Assessment

Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A multicriteria decision analysis was conducted by integrating weighted linear combinations and fuzzy multicriteria analyses in a GIS platform for suitability assessment using the following eight criteria: elevation, slope, and LST vegetation indices (SAVI, ARVI, SARVI, MSAVI, and OSAVI). The relative priorities of the indicators were identified using a fuzzy expert system. Furthermore, the results of the land suitability assessment were evaluated by ground truthed yield data. In addition, a yield estimation method was developed using indices representing influential factors. The analysis utilizing equal weights showed that 43% of the land (1832 km2) was highly suitable, 41% of the land (1747 km2) was moderately suitable, and 10% of the land (426 km2) was marginally suitable for improved yield productions. Alternatively, expert knowledge was also considered, along with references, when using the fuzzy membership function; as a result, 48% of the land (2045 km2) was identified as being highly suitable; 39% of the land (2045 km2) was identified as being moderately suitable, and 7% of the land (298 km2) was identified as being marginally suitable. Additionally, 6% (256 km2) of the land was described as not suitable by both methods. Moreover, the yield estimation using SAVI (R2 = 77.3%), ARVI (R2 = 68.9%), SARVI (R2 = 71.1%), MSAVI (R2 = 74.5%) and OSAVI (R2 = 81.2%) showed a good predictive ability. Furthermore, the combined model using these five indices reported the highest accuracy (R2 = 0.839); this model was then applied to develop yield prediction maps for the corresponding years (2017–2020). This research suggests that satellite remote sensing methods in GIS platforms are an effective and convenient way for agricultural land-use planners and land policy makers to select suitable cultivable land areas with potential for increased agricultural production.

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