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

2019 ◽  
Vol 44 (3) ◽  
pp. 357
Author(s):  
Mujiono Mujiono ◽  
Kurniawati Sugiyo

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.

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.


2020 ◽  
Vol 9 (2) ◽  
pp. 117-126
Author(s):  
Satria Jaya Priatna ◽  
Djak Rahman ◽  
Supriyadi Supriyadi

Priatna SJ, Rahman D, Supriyadi S. 2020. Land suitability assessment for some carbohydrate food crops at wetland area in Arisan Jaya. Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 9(2): 117-126.The nature condition and lack of knowledge about soil characteristics have become a limitation for crops cultivation and development in Arisan Jaya. This study aimed to determine the type of crops that has potential to be developed in site. The assessment was carried out in Arisan Jaya, Pemulutan Barat Sub-District, Ogan Ilir Regency, South Sumatera from April to August 2015. The study method is 1:30.000 semi-detailed survey. The location of the sample was determined by grid method with one sample for every 1.000 meters with 10 sample sites. A disturbed soil sample was taken as deep as 150 cm from the ground surface. Land characteristics data were matched with crops growth requirements based on the suitability classes set for wetland rice, dry land rice, corn, cassava and sweet potato. The distribution of soil properties was known by IDW (Inverse Distance Weighting) interpolation method, which was overlapped to determine the distribution of land suitability classes. Very acidic soil conditions was a major limiting factor for crops cultivation in general (the actual suitability class is Nf). Wetland rice was relatively more suitable to be cultivated than dryland rice in the site.  Corn and cassava could be planted as rotational crops before the rainy season or after rice season, although the productivity would not be optimal (S2 potential suitability class). Climatic conditions was another limiting factor for the development of sweet potato at the site (S3 potential suitability class).


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.


2019 ◽  
pp. 42-44
Author(s):  
I.V. GUSAROV ◽  
V.A. OSTAPENKO ◽  
T.V. NOVIKOVА

Впервые в мире создана популяция зубров на территории 60 градусов северной широты. В новых климатических условиях разведения и сохранения зубров определены и проанализированы факторы существования вида на севере Европейской части РФ. Выявлены признаки, динамика численности, которые являются составной частью системы, предназначенной для управления биоразнообразием. Интродукция, являясь процессом введения в экосистему нехарактерных для нее видов, может усиливать изменения биоценозов как положительно, так и отрицательно. Насколько быстро и успешно проходит процесс адаптации заселенного вида, и усматривается его влияние на окружающую среду зависит дальнейшее существование зубров и в целом биоразнообразия. В статье обсуждаются вопросы взаимоотношения зубров с другими видами копытных и хозяйственной деятельностью человека, а также дальнейшим использованием зубров в сельскохозяйственном производстве. Пластичность зубров, выявление изменений и их анализ при вселении видов в новые условия обитания необходимы не только для определения развития или деградации биоценозов и в целом экосистемы, но и прогноза социально-экономических последствий интродукции как одного из методов сохранения редких и исчезающих видов фауны.For the first time in the world, a bison population has been created in an area of 60 degrees north latitude. In the new climatic conditions of breeding and preservation of bison, the factors of the species existence in the north of the European part of the Russian Federation are identified and analyzed. The signs, dynamics of abundance, which are an integral part of the system designed to manage biodiversity are identified, since the preservation of biological diversity on the planet is one of the main problems of our time. Introduction, being the process of introducing non-typical species into an ecosystem, can enhance changes in biocenoses, both positively and negatively. The question posing sounds especially when it comes to such a large hoofed animal as the European bison. How quickly and successfully the process of adaptation of the universe takes place and its environmental impact is seen depends on the continued existence of bison and biodiversity in general. The article discusses the relationship of bison with other types of ungulates and human activities, as well as the further use of bison in agricultural production. How these issues will be resolved positively depends on the future of these animals. Thus, the plasticity of bison, the identification of changes and their analysis, with the introduction of species into new habitat conditions is necessary not only to determine the development or degradation of biocenoses and the ecosystem as a whole, but also to predict the socio-economic consequences due to the introduction as one of the methods of preserving rare and endangered species of fauna.


Author(s):  
Debi Angelina Br. Barus

This study aims to determine the relationship of work values with the Batak Toba ethnic. This research was conducted at the Mobile Brigade Unit of the North Sumatra Regional Police. The subjects in this study were 45 people. This study uses a quantitative description approach. The results of the study are to find that hamoraon, hagabeon and hasangapon (3H) are in line with the principle of the work value of Brimob members. 3H is the peak achievement of individual Toba Batak ethnic work value in the mobile brigade unit of the North Sumatra regional police. Keyword: Work value, Batak Toba Etnic   Penelitian ini bertujuan untuk mengetahui hubungan nilai kerja dengan etnis Batak Toba. Penelitian ini dilakukan di Satuan Brigade Mobile Kepolisian Daerah Sumatera Utara. Subjek dalam penelitian ini adalah 45 orang. Penelitian ini menggunakan pendekatan kuantitatif deskripsi. Hasil penelitian adalah menemukan bahwa hamoraon, hagabeon dan hasangapon (3H) sejalan dengan prinsip nilai kerja pada satuan anggota Brimob. 3H merupakan puncak pencapaian dari nilai kerja individu yang beretnis Batak Toba di satuan brigade mobile kepolisian daerah Sumatera Utara. Kata Kunci: Nilai kerja, Etnis Batak Toba


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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