scholarly journals Evaluasi Kesesuaian Lahan Komoditas Pangan Utama di Kecamatan Umbu Ratu Nggay Barat Kabupaten Sumba Tengah

2018 ◽  
Vol 38 (2) ◽  
pp. 172
Author(s):  
Marten Umbu Nganji ◽  
Bistok Hasiholan Simanjuntak ◽  
Suprihati Suprihati
Keyword(s):  
Sweet Potato ◽  
Land Suitability ◽  
Matching Method ◽  
Green Beans ◽  
Location Quotient ◽  
Overlay Method ◽  
Food Commodities

This research was conducted in West Umbu Ratu Nggay district of Central Sumba Region in January–March 2017. The method of analysis used was LQ (Location Quotient) method, matching method and overlay method. The results showed that the maim food commodities in West Umbu Ratu Nggay District were green beans with values of LQ 1,60; sweet potato with LQ 1,33, rice with LQ 1,16; and corn with LQ 1,03. Green beans suitability class is S2 (moderatelly suitable) with area 28.021,13 ha (99.69%) and N (not suitable) with area 87.91 ha (0.31%). Sweet potato commodity with land suitability is in class S1 (highly suitable) with area 90,41 ha (0.32%), S2 (moderatelly suitable) with of 27.930,73 ha (99.7%), and N (not suitable) with area 87,91 ha (0.31%). Commodity of rice with land suitability class S1 (highly suitable) with area of 1.322,43 ha (4.70%), S2 (moderatelly suitable) with area of 26.704,21 ha (95.00%), and N (not suitable) with area of 83,24 ha (0.30%). Corn commodity with land suitability class S2 (moderatelly suitable) with area of 8.21,13 ha (99.69%) and N (not suitable) with area of 87,91 ha (0.31%). ABSTRAKPenelitian ini dilakukan di Kecamatan Umbu Ratu Nggay Barat Kabupaten Sumba Tengah pada bulan Januari-Maret 2017. Metode analisis yang digunakan adalah metode LQ (Location Quotient), metode pencocokan dan metode overlay. Hasil analisis menunjukkan bahwa komoditas pangan unggulan di Kecamatan Umbu Ratu Nggay Barat secara berturut-turut adalah kacang hijau dengan nilai LQ 1,60, ubi jalar dengan nilai LQ 1,33, padi sawah dengan nilai LQ 1,03 dan jagung dengan Nilai LQ 1,03. Kelas kesesuaian lahan kacang hijau adalah S2 (cukup sesuai) dengan luas 28.021,13 ha (99,69%) dan  N (tidak sesuai) 87,91 ha (0,31%). Komodias ubi jalar  dengan kelas kesesuaian lahan S1 (sangat sesuai) dengan luas 90, 41 ha (0,32%), S2 (cukup sesuai) dengan luas 27.930,73 ha (99,37%), dan N (tidak sesuai) 87,91 ha (0,31%). Komoditas padi sawah dengan kelas kesesuaian lahan S1 (sangat sesuai) 1.322, 43 ha (4,70%). S2 (cukup sesuai) 26.704,21 ha (95,00%), dan N (tidak sesuai) 83,24 ha (0,30%). Komoditas jagung dengan kelas kesesuaian lahan S2 (cukup sesuai) 28.021,13 ha (99,69%) dan N (tidak sesuai) 87,91 ha (0,31%). 

scholarly journals Pemetaan Sektor Agribisnis Pangan Unggulan di Kabupaten Musi Rawas

2021 ◽  
Vol 21 (1) ◽  
pp. 1-8
Author(s):  
Zaini Amin ◽  
Andry Andry ◽  
Edy Humaidi
Keyword(s):  
Sweet Potato ◽  
Secondary Data ◽  
Animal Husbandry ◽  
The Other ◽  
Primary Data ◽  
Green Beans ◽  
Department Of Agriculture ◽  
Location Quotient ◽  
Method Of Calculation ◽  
Food Commodities

This study aims to map food commodities that are feasible to develop in Musi Rawas Regency. The method of calculation used to determine superior and non-superior commodities is the Location Quotient (LQ) method. The data used includes secondary data obtained from the Central Statistics Agency and the Department of Agriculture and Animal Husbandry of Musi Rawas Regency in 2019, as well as primary data from interviews with farmers. The results showed that of the eight food commodities, there were 6 which were superior commodities, namely lading rice, sweet potato, maize, peanuts, green beans, and soybeans, while the other two, namely lowland rice and cassava, were non-superior food commodities.

scholarly journals MENGKAJI PERILAKU HARGA KOMODITI PANGAN DI KOTA PALU MENGGUNAKAN METODE BACKPROPAGATION

2018 ◽  
Vol 15 (1) ◽  
pp. 58-68
Author(s):  
I N Peole ◽  
R Ratianingsih ◽  
D Lusiyanti
Keyword(s):  
Sweet Potato ◽  
Commodity Prices ◽  
Red Pepper ◽  
Green Beans ◽  
Yellow Corn ◽  
Backpropagation Method ◽  
Food Commodities ◽  
Hidden Layer ◽  
The Brain ◽  
Food Commodity

Artificial neural network is an information processing paradigm that is inspired by biological neural cell systems, like the brain, that processes information. The purpose of this research is to develop neural networks to predict the price of food commodities using backpropagation method. The research was conducted by using the rate of monthly price of food commodities in Palu from January 2011 - December 2015. The data is used to predict food commodity prices forduring 2016. The backpropagation networks consists of three layers. The first layer of input is constructedin the form of monthly prices of IR 64, ciherang, membramo, cimandi, superwin, sintanur, cisantana, sticky black, sticky white, yellow corn dry, white corn, soybeans, peanuts, green beans, cassava, sweet potato, onion, garlic, red pepper large, red pepper curls, cayenne pepper, cabbage round, potatoes, tomatoes, carrots, cauliflower, beans, onion, avocado, red apples, green apples, oranges, jackfruit, mango, pineapple, papaya, banana, banana horns, rambutan, bark, olive, durian, watermelon, and mangosteen from January – December that consist of 12 variables. One hidden layer consistof five neurons and the other one is the output, that is  the food commodity prices. The training process shows that on a maximum iterations on 500, constant learning rate 0,3 and 0,6 momentum, the predictions have 97.92% of level accuracy. The identification resultof food commodity prices behavior in Palu is predicted as follow: IR 64 Rp7.387, ciherang Rp8.182, membramo Rp8.150, cimandi Rp8.131, superwin Rp8.228, sintanur Rp8.660, cisantana Rp8.122, black sticky rice Rp21.383, white sticky rice Rp16.558, dry yellow corn Rp5.983, white corn Rp9.283, soybeans Rp14.600, peanuts Rp20.008, green beans Rp16.375, cassava Rp8.225, sweet potato Rp8. 542, red onion Rp28.550, garlic Rp21.208, red chili Rp27.308, curly red chili Rp23.650, cayenne Rp36.450, round cabbage Rp6.833, Rp12.067 potatoes, tomatoes Rp6.108, carrots 11.000, cauliflower Rp8.625, beans Rp10.333, scallion Rp25.242, avocado 11.000, red apple Rp29.023, green apple Rp31.067, orange Rp6.083, jackfruit Rp23.483, mango Rp11.187, pineapple Rp8.183, papaya Rp10.600, bananas Rp8.481, horn banana Rp2.683, rambutan Rp8.450, barking Rp5.625, tan Rp8.366, durian Rp19.208, watermelon Rp14.528 and mangosteen Rp18.067. It is predicted that the food commodity prices increased monthly.

scholarly journals Analysis of Land Suitability for the Development of Porang (Amarphopallus ancophillus ) Plants in Lewa Sub-Regency, East Sumba Regency

2022 ◽  
Vol 9 (1) ◽  
pp. 49-55
Author(s):  
Indrayani Rambu Apu ◽  
Uska Peku Jawang ◽  
Marten Umbu Nganji
Keyword(s):  
Plant Growth ◽  
Water Availability ◽  
Nutrient Retention ◽  
Land Suitability ◽  
Limiting Factors ◽  
Matching Method ◽  
Dry Land ◽  
Growth Requirements ◽  
Overlay Method ◽  
Erosion Hazards

Lewa sub-district is one of the sub-districts in East Sumba Regency, which has dry land that can be maximized for the development of porang plants and development purposes; information on the potential of porang plantations is needed. This study aimed to determine the biophysical characteristics of the land and the land suitability class of porang plants. The analytical method used was the matching method by comparing the land characteristics and plant growth requirements and the overlay method. The matching results show that the land characteristics in Lewa Subdistrict are class S1 (Very suitable), covering an area of 26.220,209 ha and Class S2 (quite suitable), covering an area of 3.608,523 ha. Limiting factors in this area are water availability (OA) such as drainage, nutrient retention (nr) such as CEC and pH, and erosion hazards (eh) such as slope.

scholarly journals KOMODITAS UNGGULAN TANAMAN PANGAN DI PULAU JAWA

Agro Ekonomi ◽  
2010 ◽  
Vol 17 (1) ◽  
Author(s):  
Agus Dwi Nugroho
Keyword(s):  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Decision Makers ◽  
Green Beans ◽  
Location Quotient ◽  
The West ◽  
Central Java ◽  
Key Sectors ◽  
Dynamic Location ◽  
Food Commodities

Existence of a region will depend heavily on the accuracy of decision-makers in determining the direction of regional development, especially relating to the development sector basis. Agricultural sector, particularly food crops is one of the key sectors in the island of Java. The purpose of this study was to determine pre-eminent food commodities each province on the Java. The method used in this research is descriptive analysis. Type of data used in Indonesiathan in 2006-2008. The analysis used in this study is the Location Quotient (LQ) and Dynamic Location Quotient (DLQ). Pre eminent crops in Bnaten province that have two of rice and peanuts. Pre eminent crops in the West Java rice and weet potatoes. DKI has one pre-eminent  crops that is rice. Central java has four pre eminent crops corn, green beans, peanuts and soybeans. Pre eminent crops in the DIY is peanuts and cassava. East java provincehas four pre eminent, crops corn, green neams, peanuts and soybeans. 

scholarly journals KOMODITAS POTENSIAL TANAMAN PALAWIJA DI KABUPATEN BLORA PROVINSI JAWA TENGAH

2019 ◽  
Vol 5 (2) ◽  
pp. 368
Author(s):  
Agus Yuniawan Isyanto ◽  
Sudrajat Sudrajat ◽  
Muhamad Nurdin Yusuf ◽  
Ane Novianty ◽  
Beniidzar M. Andrie ◽  
...  
Keyword(s):  
Economic Development ◽  
Data Analysis ◽  
Sweet Potato ◽  
Location Quotient ◽  
Central Java ◽  
Basic Commodity ◽  
Central Java Province

Identification of potential commodities needs to be done in the context of the economic development of a region. This research was carried out with the aim of identifying potential commodities of secondary crops in Blora District, Central Java Province. Data analysis was carried out using the Location Quotient (LQ) method. The results showed that corn was a base commodity for Randublatung, Kradenan, Sambong, Jiken, Bogorejo, Jepon, Banjarejo, and Tunjungan Subdistricts and Blora City. Soybean is a base commodity for Jati, Kedungtuban, Japah and Kunduran Subdistricts. Peanuts are the base commodity for Kedungtuban, Cepu, Japah and Todanan Subdistricts. Mung beans are a basic commodity for Jati, Cepu, Sambong, Japah, Ngawen and Kunduran Subdistricts. Sweet potato is a base commodity for Kradenan, Sambong, Tunjungan and Ngawen Subdistricts, and Blora City. Cassava is a commodity base for the Kradenan, Sambong, Jiken, Banjarejo, Japah and Ngawen Districts

scholarly journals EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN MANGGIS DAN POTENSI PENGEMBANGANNYA DI KECAMATAN PAUH KOTA PADANG

2021 ◽  
Vol 8 (2) ◽  
pp. 317-326
Author(s):  
Dyah Puspita Sari ◽  
Ranti Novia ◽  
J Juniarti
Keyword(s):  
Nutrient Retention ◽  
Land Suitability ◽  
Soil Science ◽  
Limiting Factors ◽  
Survey Method ◽  
Soil Conditions ◽  
Science Laboratory ◽  
Matching Method ◽  
Land Unit ◽  
Plantation Development

Pauh District was chosen as mangosteen plantation development centre in Padang City. This development should be based on the land suitability so that the mangosteen plant are able to grow according to the climate and soil conditions. This research was conducted in Pauh District, Padang City and Soil Science Laboratory Andalas University. This study used a survey method that consisted of preparation, pre-survey, the main surveiy, laboratory analysis, and data processing. Evaluation of land suitability was done with matching method which compare the characteristics of land suitability for mangosteen growth. The results of research showed that land suitability for mangosteen was classified into S3 (marginally suitable) with subclass S3nr for land unit SL1, SL2, SL3, SL4, SL7, SL8, SL9, SL11, SL15; subclass S3eh for land unit SL14; subclass S3nr,eh for land unit SL5 and SL10. Land unit SL6, SL12, SL13, and SL16 were classified into S2 (moderately suitable) with subclass S2wa,nr for land unit SL6 and SL16; subclass S2wa,rc,nr,eh for land unit SL12; subclass S2wa,rc,nr for land unit SL13. The limiting factors was common to each land unit were nutrient retention (nr) and erosion (eh). There are 3 villages (Lambung Bukit, Limau Manis, and South Limau Manis) in Pauh District which have the greatest potential to be developed as mangosteen plantation development areas with total area was 5,862.42 ha.

scholarly journals KOMODITAS UNGGULAN SUBSEKTOR TANAMAN PANGAN BERBASIS POTENSI WILAYAH KERUANGAN DI PROVINSI BALI

2019 ◽  
Vol 7 (1) ◽  
pp. 76
Author(s):  
Evendi - Akhmad ◽  
Made - Antara
Keyword(s):  
Agricultural Sector ◽  
Agricultural Land ◽  
Regional Growth ◽  
Food Crops ◽  
Food Crop ◽  
Location Quotient ◽  
Agricultural Business ◽  
Food Commodities ◽  
Seed Crops ◽  
The City

ABSTRACT Food crop commodities in Bali are quite potential, so making these commodities quite crucial in various discussions. When viewed from the results of the 2013 Agriculture Census in Bali there were 408,233 agricultural business households and 53 percent of them were food crop business households. Bali's GRDP according to business fields, food crops subsector contributed 14.57 percent of the 2016 GDP contribution to the agricultural sector. The development of tourism and population growth are thought to be the cause of the conversion of agricultural land to non-agriculture. Therefore, a scientific study is needed to map the potential of the food crop subsector in Bali. The objectives of this study are: (1) to identify what are the main competitive seed crops, (2) to analyze the growth of food crops according to districts / cities, (3) to analyze the potential of the main commodity areas of Bali's food crops. This research was conducted in Bali Province. The selection of research locations using the purposive sampling method is based on the consideration that food crops are the most sought-after commodities by Balinese farmers. The data used in this study is the data on commodity production of the Bali Province food crops sub-sector according to districts / cities in the 5-year time series (2011-2015). The analytical tool used is Location Quotient (LQ), Shift Share, Superimpose and analysis of potential spatial areas. The results of the study show that all regencies / municipalities have comparative superior food crops except the city of Denpasar. Increased regional growth of food crops occurred in three districts / cities, namely Jembrana, Gianyar and Denpasar City. All districts / cities have food crops that experience proportional rapid growth, high competitiveness commodities and commodities that are progressing in net growth. All regencies have superior crops of food commodities, both those which are superior (comparative or competitive superior) and highly superior (comparative and competitive) commodities. Meanwhile, Denpasar City only has superior food crops (competitively superior).

Determination of Lead and Cadmium in Foods by Anodic Stripping Voltammetry: II. Collaborative Study

1982 ◽  
Vol 65 (4) ◽  
pp. 978-986
Author(s):  
Stephen G Capar ◽  
Raymond J Gajan ◽  
Elizabeth Madzsar ◽  
Richard H Albert ◽  
Marion Sanders ◽  
...  
Keyword(s):  
Anodic Stripping Voltammetry ◽  
Collaborative Study ◽  
Stripping Voltammetry ◽  
Green Beans ◽  
Formula Milk ◽  
Lead And Cadmium ◽  
Anodic Stripping ◽  
Food Commodities ◽  
Cadmium And Lead ◽  
High Level

Abstract A dry ash anodic stripping voltammetric method for determining lead and cadmium in foods was collaboratively studied by 20 laboratories. The food commodities studied were strained green beans, beef (baby food), fish (mackerel), infant formula (milk base), apple juice, and cereal (wheat farina). Each collaborator analyzed 3 commodities, each consisting of 2 duplicate lead and cadmium fortification levels, for a total of 4 samples for each commodity. The low fortification levels ranged from 0.03 to 0.08 ppm for cadmium and from 0.05 to 0.15 ppm for lead. The high fortification levels ranged from 0.12 to 0.28 ppm for cadmium and from 0.24 to 0.45 ppm for lead. Each commodity was analyzed by 10 collaborators. The average overall reproducibilities of the low level fortifications were 247c for lead and 21% for cadmium; for the high level fortifications, average overall reproducibilities were 18% for lead and 16% for cadmium. The average accuracies of the collaborative results as measured by comparison to reference values were 96 and 97% for cadmium and lead, respectively. This method has been adopted official first action.

scholarly journals Identifikasi Potensi Komoditas Unggulan Sektor Peranian Tanaman Pangan. Jurnal Ilmiah Pertanian

2019 ◽  
Vol 1 (2) ◽  
pp. 163-174
Author(s):  
Eka Handayani ◽  
Khairul Saleh ◽  
Ellen Panggabean
Keyword(s):  
Factor Analysis ◽  
Sweet Potato ◽  
Analytical Method ◽  
Food Crops ◽  
Base Region ◽  
Location Quotient ◽  
Specialty Crops ◽  
Peanut Production ◽  
High Production ◽  
High Production Level

The aim in this study were (i) determine the base region commodity crops in Deli Serdang, (ii) determine differences in the level of competitiveness of commodity crops in Deli Serdang, (iii) determine specialty crops in the district of Deli Serdang, (iv) knowing localization (deployment) crops in Deli Serdang, (v) to determine the trend of food crops in Deli Serdang. The analytical method used is: (a) analysis of location quotient (LQ), (b) Shift Share analysis, (c) the analysis of the coefficient of specialization, (d) analysis of localization, (e) the analysis of the trend.  Characteristics deployment commodity crops in Deli Serdang regency does not lead to the principle of specialization and localization. Patterns of production on food crops in Deli Serdang district tends to spread in many regions or districts and no commodity specialization in each district. Results of factor analysis trend commodity crops such as rice, cassava, and maize has a high production level each year, but the commodity sweet potato and peanut production is likely to decline.

scholarly journals ANALISIS KETIMPANGAN WILAYAH DAN ARAHAN PENGEMBANGAN WILAYAH DI KABUPATEN BURU PROVINSI MALUKU

2018 ◽  
Vol 20 (4) ◽  
pp. 472
Author(s):  
Rifyan Ruman ◽  
Setia Hadi ◽  
Baba Barus
Keyword(s):  
Data Analysis ◽  
Agricultural Development ◽  
Health Facilities ◽  
Analysis Method ◽  
Sweet Potatoes ◽  
Green Beans ◽  
Location Quotient ◽  
Land Capability ◽  
Education And Health ◽  
Data Analysis Method

The purpose of this study was to determine the class-leading commodity and land capability and potential of land that can be used for agricultural development in Buru. Data analysis method used was overlying maps, Location Quotient (LQ) and Shift Share Analysis (SSA) to determine the main commodity. The result is elaborated as follow inequality in Buru can be seen from inadequate infrastructure especially the condition of road, education and health facilities. Based on analysis of LQ and SSA in the Buru Regency, Commodities priorities in this region are sweet potatoes, peanuts, green beans, peppers, onion, tomato, spinach, kale, squash, eggplant, beans, avocado, mango, jackfruit, durian, orange, papaya, banana, cashew, and clove. The potential cultivate land for each sub-districts as Namlea (22390.73 ha), District Waeapo (68615.62 ha), District of Waplau (22173.26 ha), District Batabual (7920.27 ha) and District Air Buaya (10985.77 ha) that can be utilized for the development of agriculture-based according to the vision of Buru and in accordance with the commodity that exist in each district.

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