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

2019 ◽  
Vol 14 (1) ◽  
pp. 35-40
Author(s):  
Marlin J Oraplawal ◽  
Johanis P Haumahu ◽  
Robby G Risamasu

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

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
RAHMAWATY RAHMAWATY ◽  
SINTIKE FRASTIKA ◽  
ABDUL RAUF ◽  
RIDWANTI BATUBARA ◽  
FITRAH SYAWAL HARAHAP

Abstract. Rahmawaty, Frastika S, Rauf A, Batubara R, Harahap FS. 2020. Land suitability assessment for Lansium domesticum cultivation on agroforestry land using matching method and geographic information system. Biodiversitas 21: 3683-3690. Lansium domesticum is one of the multipurpose tree species (MPTS) and is commonly found on agroforestry lands in Sumatra. This study aimed to evaluate the actual land suitability classes for L. domesticum and to map the potential land suitability for the species using matching method and geographic information system (GIS). The study was conducted in Sei Bingai Sub-district, Langkat District, North Sumatra, Indonesia. A survey was conducted to collect soil samples based on land units. Land unit information was obtained by overlaying soil map, land-use map, and slope map. Land suitability was evaluated based on the matching method and GIS was used to map the distribution of land suitability. The results showed that both the actual and potential land suitability classes based on matching approach for L. domesticum were moderately suitable (S2) which accounted for 88.95% of total land and marginally suitable (S3) which accounted for 11.05%. Availability of water (wa), erosion hazard (eh), root-zone medium (rc), oxygen availability (oa), and nutrient retention (nr) were the dominant limiting factors in this area. The most difficult constraints to manage were root-zone medium and water availability. The results of this study suggest that the development of L. domesticum in Sei Bingai is possible although it requires some land improvements to deal with the limiting factors.


2020 ◽  
Vol 4 (1) ◽  
pp. 15-20
Author(s):  
Leni Handayani ◽  
A Rauf ◽  
Rahmawaty Rahmawaty ◽  
T Supriana

A decrease in the area of soybean farming has an effect on reducing soybean production from year to year so that it has not been able to meet the needs of national soybean consumption. Land suitability assessment is an effort to be able to optimize land use. In the process of assessing land suitability manually, it is considered inaccurate. The purpose of this study was to determine the land suitability class for soybean plants. The land suitability classification system used is the FAO land suitability classification classified at the sub-class level. Land suitability evaluation uses a matching system, as well as comparing the characteristics of land with plant growing community formulated in the technical evaluation of land guidelines for agricultural commodities. In the matching process Leibig's minimum law is used to determine the limiting factors that will affect the suitability of the class and sub-class of the land. Requirements for growing plants become kiteria in conformity evaluation. The results showed that the limiting factors of land suitability for soybean plants that had to be improved were temperature, rainfall, soil texture, C-Organic, N-Total and P-Available soil. The limiting factor of temperature and soil texture cannot be improved so that the marginal fit class (S3) on actual land suitability remains marginal fit (S3) in terms of potential land suitability.


2020 ◽  
Vol 8 (1) ◽  
pp. 259-271
Author(s):  
Januardi Fransiskus Simanjuntak ◽  
Christanti Agustina ◽  
Mochtar Lutfi Rayes

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.


2021 ◽  
Vol 8 (2) ◽  
pp. 515-525
Author(s):  
Sarah Nur Shabrina ◽  
Mochtar Lutfi Rayes ◽  
Christanti Agustina

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.


2017 ◽  
Vol 13 (1) ◽  
pp. 9
Author(s):  
Vinda V Tentua ◽  
Husein Salampessy ◽  
Johanis P Haumahu

This study aimed to determine the land suitability for horticultural commodities based on physical condition data of the land, to determine the limiting factors in the field and to give recommendation to improve the land use for horticultural commodities. This research was conducted in Hative Besar Village, Teluk Ambon Sub District in September-October 2016. This research was divided into three phases: preparatory phase of research which included secondary data collection and digitizing land unit map, field research stage covering primary data collection or field checking using free survey techniques, as well as data analysis and reporting stages that will be revealed in maps and land suitability for horticultural commodities as well as recommendations for improvement of the limiting factors. The results showed that based on the actual land suitability assessment there were only five suitable plants is rambutan, gandaria, durian, duku and pineapple. Whereas based on the actual suitability of the selected land, the appropriate plants were durian, duku and pineapple. The results of the study also indicate that there were several limiting factors, namely the availability of water, the availability of oxygen, rooting media and erosion hazard that can be improved by applying soil and water conservation techniques.


2020 ◽  
Vol 25 (2) ◽  
pp. 107
Author(s):  
Rahmawaty Rahmawaty ◽  
Ridwanti Batubara ◽  
Abdul Rauf ◽  
Sintike Frastika

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.


2021 ◽  
Vol 4 (1) ◽  
pp. 17-22
Author(s):  
Albert Carles ◽  
Kanang Setyo Hindarto ◽  
Heru Widiyono ◽  
Mukhtasar Mukhtasar ◽  
Hermansyah Hermansyah

This study aims to identify the physical, chemical characteristics of the soil and determine the suitability of rice fields for new openings in Mukomuko. This research was conducted from September to October 2019, which consisted of fieldwork and laboratory analysis. This research uses a survey method, soil sampling is carried out by a composite method consisting of 5 soil samples. Composite soil sampling technique based on land unit work maps produced from the map of soil types Mukomuko district scale of 1: 100.000. The results showed that all samples had the same dominant limiting factors namely P2O5, K2O, and Base Saturation. Land suitability for lowland rice plants in Mukomuko District Af.1.2.1 (S3nr) land area with an area of 42.68 ha, Af.1.2.2 (S3nr) land area with an area of 56.65 ha, land unit Tf.2.1 (S3nr) with an area of 60.15 ha, and land unit Tf.3.1 (S3nr) with an area of 89.30 ha. 


2020 ◽  
Vol 21 (7) ◽  
Author(s):  
HERY KURNIAWAN ◽  
DANI PAMUNGKAS

Abstract. Kurniawan H, Pamungkas D. 2020. The limiting factors of land suitability for sandalwood (Santalum album) in Sumba Island, Indonesia. Biodiversitas 21: 3364-3372. The land suitability assessment for sandalwood is very important for the successful cultivation and development of sandalwood (Santalum album Linn.) in Sumba Island, East Nusa Tenggara Province, Indonesia. The map of land suitability classification for sandalwood is currently available. The land suitability assessment is determined based on designated indicators and predictors. It is important to identify the most influential measures in a particular area to determine the suitable treatment to be applied to the sandalwood plant, as well as to recognize the land suitability evaluation swiftly and efficiently. This study was aimed to determine the variables of indicators or verifiers that have the strongest relationship with the land suitability class for sandalwood. Regression method was used to develop the relationship model and to determine the level of the relationship through the coefficient of determination. The result shows that P2O5 content was the most influential factor to determine the land suitability class for sandalwood in Sumba Island.


Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 223
Author(s):  
Rubaiya Binte Mostafiz ◽  
Ryozo Noguchi ◽  
Tofael Ahamed

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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