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.

ANALISIS PENGEMBANGAN WILAYAH PETERNAKAN SAPI POTONG DI KABUPATEN SUBANG

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Ferdi Fathurohman
Keyword(s):  
Beef Cattle ◽  
Animal Health ◽  
Secondary Data ◽  
Animal Husbandry ◽  
Primary Data ◽  
Cattle Population ◽  
Location Quotient ◽  
Potential Region ◽  
Population Total ◽  
Independent Variable

This research aims to analyze the development potential of the regions of beef cattle and the factors that influence the development of beef cattle in the Regency of Subang. Research carried out by analyzing the primary data from a breeder and secondary data are sourced from the Department of animal husbandry and animal health District of Subang, food security and animal husbandry Office of West Java province and the Central Bureau of statistics the Regency of Subang. The data are analyzed in a descriptive and statistical. Analysis of the potential of the region using the parameters of location quotient (LQ) and factors development of beef cattle were analyzed by linear regression model, with multiple dependent factor (Y) beef cattle Population and the independent variable (X) from the a row is beef cattle population total population of Subang, County, and sales of beef cattle out of the Kabupaten Subang. Keywords: Potential, Region, Beef Cattle

scholarly journals ANALISIS SEKTOR PROGRESIF DAN KOMODITI BASIS PERTANIAN DI KABUPATEN BOLAANG MONGONDOW, PROVINSI SULAWESI UTARA

2020 ◽  
Vol 16 (2) ◽  
pp. 161
Author(s):  
Siswono Rahmat Yunus ◽  
Nurdin Lanuhu ◽  
Pipi Dian Sari
Keyword(s):  
Growth Rate ◽  
Competitive Advantage ◽  
Secondary Data ◽  
Primary Data ◽  
Agricultural Commodities ◽  
Agricultural Commodity ◽  
Economic Sectors ◽  
Green Beans ◽  
Location Quotient ◽  
North Sulawesi

AbstractThis study aims to: 1) Identify the economic sectors included in the progressive sector in Bolaang Mongondow Regency; 2) Identify agricultural commodities that are commodity-based agriculture in Bolaang Mongondow Regency. This study uses primary data from the Department of Agriculture and Plantation Agency and secondary data in the form of data on Gross Regional Domestic Product (GRDP) of Bolaang Mongondow Regency and North Sulawesi Province in 2013-2017 and agricultural commodity data of Bolaang Mongondow Regency and North Sulawesi Province in 2012-2016. The data was analyzed using the Location Quotient and Shift Share methods. The results of the study concluded that: 1) There are 5 economic sectors which are the base sectors namely the Agriculture, Forestry and Fisheries sector; Mining and Excavation sector; the Electricity and Gas Procurement sector, the Real Estate sector and the Education Services sector. However, only the Mining and Excavation sector has a progressive growth rate and has a competitive advantage. As for the Agriculture sector itself, it has a growth rate that is not progressive and lacks competitive advantage; 2) There are 15 agricultural commodities which are the base commodities in Bolaang Mongondow Regency, namely green beans, soybeans, corn, rice, candlenut, coffee, cocoa, pineapple, mango, mangosteen, spinach, long beans, kale, eggplant and potatoes. As for now the commodities that are the government's main focus are soybeans, corn, rice, cocoa, pineapple and potatoes. Keywords: Progressive Sector; Base Commodity; Location Quotient; Shift Share.

scholarly journals PERANAN PEMERINTAH DALAM PEMBERDAYAAN USAHATANI HOLTIKULTURA DI KABUPATEN BIAK NUMFOR

2017 ◽  
Vol 13 (3A) ◽  
pp. 227
Author(s):  
David J. J. D. Sabarofek ◽  
Lyndon R. J. Pangemanan ◽  
Mex L. Sondakh
Keyword(s):  
Secondary Data ◽  
Animal Husbandry ◽  
Primary Data ◽  
Research Approach ◽  
Technological Advancement ◽  
Department Of Agriculture ◽  
Service Unit ◽  
Bargaining Position ◽  
Disease Attack ◽  
The Village

The purpose of this study is to determine: (1) how the role of the Department of Agriculture in Empowering Horticulture Farmers in Biak Numfor District, (2) constraints faced by farmers in horticulture farming in Dofyo Wafor Village, North Biak District, Biak Numfor District, Papua Province. This research was conducted for 3 months starting from March until May 2017. This research uses qualitative research approach. Primary data were collected by interviews and field observations. Respondents were selected by purposive sampling method as many as 30 respondents selected from 3 farmer groups in the village of Dofyo Wafor. Secondary data collection is obtained from the literature derived from related agencies such as: Animal Husbandry and Food Crop Farming Biak Numfor District. Central Bureau of Statistics of Biak Numfor Regency. Technical Service Unit of Agricultural Extension Institute of Biak Utara District and Dofyo Wafor Village Office. Data analysis used is qualitative analysis. The research found that (1) Government in empowering horticulture farm in Biak Numfor Regency. Particularly in Dofyo Wafor Village, through the Livestock and Food Crops Office of Biak Numfor District has empowered farmers, empowerment carried out in the form of counseling, seed breeder supervisors, providing superior seed support, irrigation irrigation facilities, technological advancement, assistance in land management, and assistance in farmer institutions; (2) The existing obstacles are pest and disease attack on agricultural crops, limited knowledge, skills and capital of farmers, and also the bargaining position of agricultural products that are still low.

scholarly journals Hierarchy Analysis, Leading Commodities and Community Participation in Agropolitan Areas in Trenggalek Regency, East Java Province

HABITAT ◽  
2021 ◽  
Vol 32 (2) ◽  
pp. 63-73
Author(s):  
Angga Putra ◽  
Budi Setiawan ◽  
Suhartini Suhartini
Keyword(s):  
Community Participation ◽  
Public Perception ◽  
Secondary Data ◽  
Primary Data ◽  
Green Beans ◽  
Location Quotient ◽  
Extrinsic Factors ◽  
Chi Square ◽  
Intrinsic Factors ◽  
Plantation Crops

The agropolitan area in Trenggalek Regency is one of the regional development programs that began in 2006.The objectives of this study are 1) Determining the hierarchical structure of growth and service centers in an agropolitan area, 2) Determining superior commodities that can be developed in an agropolitan area, 3) Knowing perceptions and levels of community participation as well as the factors that influence it in an effort to increase active community participation as the main actor in agropolitan area development. The research location was determined purposively. This study uses two types of data, namely primary data and secondary data. The analytical methods used in this research are 1) scalogram analysis, 2) Location Quotient / LQ analysis, 3) non-parametric chi-square statistical analysis. Based on the schalogram analysis of villages in the agropolitan area in Trenggalek Regency, it is obtained a hierarchy of regions in the agropolitan area in Trenggalek Regency, so that Tasikmadu, Pule, Jombok and Sumurup Villages are the centers of growth and service centers while the development areas of Karanggandu Village, Prigi, Watulimo, Sawahan, Watuagung, Sidomulyo, Tanggaran, and Dompyong are agropolitan areas. While other development areas, namely the Dukuh, Slawe, Gemaharjo, Pakel, Ngembel, Puyung, Joho, Kembangan, Pakel, Masaran, Sengon, Srabah, Surenlor and Botoputih development areas are hinterland areas. Based on the results of the LQ analysis, the agropolitan area in Trenggalek Regency has 34 (thirteen) commodities that have an LQ value of more than 1: leaves, potatoes, mustard greens, long beans, large chilies, bird's eye chilies, green beans and chayote, c) Fruit crop subsectors: avocado, star fruit, duku, durian, guava, water guava, orange siem, large orange, mangosteen, jackfruit, papaya, rambutan, salak, sapodilla and soursop, d) Sub-sector of plantation crops: Patchouli, sugarcane, cocoa, cloves, coffee, vanilla and cottonwood. The level of public perception towards agropolitan programs is relatively poor. The level of community participation in agropolitan programs is relatively low. The intrinsic factors that have a real influence on the level of participation are income and land area, while the extrinsic factors are socialization, assistance, openness of government, program suitability and benefits. Increasing community participation can be done by improving the factors that have a real influence.

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 ANALISIS KEUNTUNGAN USAHA PUPUK ORGANIK DI PERUSAHAN CV. ARGONIAGA MANDIRI KECAMATAN BINTAUNA

ZOOTEC ◽  
2015 ◽  
Vol 35 (2) ◽  
pp. 335
Author(s):  
Rivaldi Lantapa ◽  
M. A.V Manese ◽  
E. Wantasen ◽  
F. N.S Oroh
Keyword(s):  
Function Method ◽  
Organic Fertilizer ◽  
Secondary Data ◽  
Animal Husbandry ◽  
Government Agency ◽  
Primary Data ◽  
Profit Function ◽  
Department Of Agriculture ◽  
Total Cost ◽  
Profit Analysis

PROFIT ANALYSIS OF ORGANIC FERTILIZER BUSINESS IN CV AGRONIAGA MANDIRI SUB-DISTRICT BINTAUNA. The purpose of this study was to determine the company profits per year. This research was done at CV Agroniaga Mandiri as the only company that produces organic fertilizer in the Bintauna Sub-district, North Bolaang Mongondow Regency.  Data collected consist of primary data and secondary data. The primary data were collected by interview with questions list or quetionnaire, while secondary data were obtained from government  agency that related with this research such as Department of Agriculture and Animal Husbandry of North Bolaang Mongondow. Data were analyzed with profit function method. The results showed that the total cost of production, revenue and profit of organic fertilizer business that obtained by CV Agroniaga Mandiri sequentially Rp. 259, 294,100 / year, Rp.405,000,000/year and Rp.145,705,900/year. Key words: Profit, organic fertilizer

scholarly journals Determination of Leading Commodities and Its Development Area in Sigi District Central Sulawesi

2021 ◽  
Vol 316 ◽  
pp. 02011
Author(s):  
Heni SP Rahayu ◽  
Saidah ◽  
Risna ◽  
Muchtar ◽  
Syafruddin
Keyword(s):  
Group Discussion ◽  
Secondary Data ◽  
Primary Data ◽  
Green Beans ◽  
Location Quotient ◽  
Area Model ◽  
Potential Development ◽  
Development Area ◽  
Central Sulawesi

The development of leading commodities in a region must be based on its potential and development opportunities. Various benchmarks can be used as a basis for determining the leading commodities includes Location Quotient (LQ). The study aims to determine the potential leading commodities and its development area in Sigi District. The research was conducted in November 2020-Februari 2021. The data collected were primary and secondary data, which secondary data was in the form of harvested areas time series of agricultural commodities in the 2013-2018 periods. Moreover, primary data was collected through Focus Group Discussion and interview using questionnaire. The leading commodities were analyzed using the LQ while the area development of leading commodities was determined by Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). Criteria for TOPSIS included agroecosystems, water availability, infrastructure, human resource, and support-systems. Based on Location Quotient, the annual commodities of corn, groundnut, green beans, cassava, shallot, Chinese cabbage, tomato and perennial commodities namely clove, nutmeg, coffee, candlenut, cocoa, and vanilla were classified as leading commodities in Sigi District. The potential development area model for shallot is Oloboju Village, Biromaru Sub-District while the potential development area model for corn is Pesaku Village, Dolo Barat Sub-District.

“A Study on the Influence of Rewards on Job Satisfaction With Special Reference to Education Industry in Oman”

2019 ◽  
Vol 118 (1) ◽  
pp. 114-124
Author(s):  
Mrs Nithya Sambamoorthy ◽  
Mr Subhash Kodiyil Raman ◽  
Mr Bhraguram Thayyil
Keyword(s):  
Job Satisfaction ◽  
Special Reference ◽  
Secondary Data ◽  
The Other ◽  
Primary Data ◽  
Other Hand ◽  
Education Industry ◽  
College Of Technology ◽  
Main Factors ◽  
Structured Questionnaire

This research is an examination and a study on the influence of rewards on job satisfaction of lecturers at Shinas College of Technology (ShCT). In academic industry, rewards are one of the factors that affecting job satisfaction of the employees and this will lead to affect their performance in their jobs. So, when rewards are more the job satisfaction will be high and when rewards are less the job satisfaction will be less. On the other hand, the age will not affect the job satisfaction. Previous research reveals that Job satisfaction is very important to success the industry and the rewards are the main factors which affect job satisfaction. The main purpose of this study is to know the influence of rewards in job satisfaction among the lecturers in ShCT. Moreover, this research attempts to identify how much rewards affect the job satisfaction in ShCT.  For this study used two types of data which are: primary data and secondary data. The sources of primary data is the response from lecturers at ShCT. It is collected through structured questionnaire and distributed such to 60 respondents. Secondary data, collected from internet, books, journals, articles etc.

scholarly journals ANALISIS SEKTOR BASIS DAN SUBSEKTOR PERTANIAN BASIS TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN KEEROM, PROVINSI PAPUA

2017 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Usman Usman
Keyword(s):  
Economic Growth ◽  
Agricultural Development ◽  
Development Program ◽  
Secondary Data ◽  
Animal Husbandry ◽  
Position Change ◽  
Location Quotient ◽  
Location Factor ◽  
Agriculture Sector ◽  
Dynamic Location

Agricultural  development  program  in  Indonesia  is  the  part  of  economic development.  Papua  Province  in  the  economic  sector,  the  agriculture  sector  is  the very important role in supporting economic growth in the region.This study aims to analyze  the  basic  sector  and  basic  sub-sector  of  agriculture,  analyze  the  position sector  and  the  agriculture  sector  in  the  future,  and  the  determinants  of  changes  in positions on regional economic growth based on the calculation of the GDP Keerom district  and  Papua  province  in  2008-2011.The  study  used  secondary  data  over  a period of four years. The analysis  method used is Location Quotient (LQ), Dynamic Location  Quotient  (DLQ),  and  Total  Shift  Share  (TSS).  The  analysis  LQ  show  that agriculture  sector  is  the  basic  sector  in  the  economy  Keerom.While  the  agriculture sector  as  the  sub-sector  basis  (leading  sector) is plantation,  animal  husbandry,  and forestry.The combined method of LQ and DLQ, show that agriculture sector is still the sector basis in the future.The results of the analysis TSS is known that the deciding factor  position  change  on  plantations  and  fishing  sub-sector  is  the  location  factor, while the determining factor position change on the livestock sector is the factor of of economic structure.

scholarly journals Analisis Ketidakpastian dalam Memanfaatkan Lahan Pertanian di Desa Sukasari Kaler Kecamatan Argapura Majalengka

2018 ◽  
Vol 32 (1) ◽  
pp. 84
Author(s):  
Sudrajat Sudrajat
Keyword(s):  
Land Use ◽  
Data Analysis ◽  
Agricultural Land ◽  
Secondary Data ◽  
The Other ◽  
Primary Data ◽  
Agricultural Land Use ◽  
Crop Failure ◽  
Scale Method ◽  
Other Hand

Abstrak Petani dalam memanfaatkan lahan pertanian selalu berhadapan dengan ketidakpastian. Di sisi lain petani juga harus mempertimbangkan berbagai jenis komoditi yang akan diusahakan agar tidak gagal panen. Berdasarkan hal tersebut maka penelitian ini dilakukan dengan tujuan: (1) mengindentifikasi jenis ketidakpastian yang sering dihadapi petani  dalam  memanfaatkan lahan pertanian; dan  (2) menganalisis pengaruh ketidakpastian terhadap pertimbangan petani dalam menentukan jenis komoditi yang akan diusahakan. Data yang dikumpulkan terdiri dari data primer dan data sekunder. Data primer diperoleh dari hasil wawancara dengan petani, sedangkan data sekunder dari beberapa instansi terkait. Pengukuran ketidakpastian dilakukan menggunakan metode skala likerts. Analisis data di lakukan secara deskriptif kualitatif. Hasil penelitian menemukan adanya keragaman jenis  ketidakpastian yang selalu dihadapi petani dalam pemanfaatan lahan pertanian dan ketidakpastian tersebut  telah dijadikan dasar oleh petani untuk mempertimbangan jenis komoditi yang akan diusahakan.Abstract Farmers in utilizing agricultural land always faced with uncertainty. On the other hand, farmers should also consider various types of commodities which will be endeavored that no crop failure.  Based on the above, the research is conducted with the objectives: (1) to identify the kinds of uncertainties often faced by farmers in utilizing agricultural land for farming activities; (2) to analyzes the influence of uncertainty on the consideration of farmers in determining the type of commodity to be cultivated. The data collected consist of primary data and secondary data. Primary data was obtained from interview with farmer while secondary data from several related institutions. Measurement of uncertainty is done using likerts scale method. Data analysis is done descriptively qualitative. The results of the study found that the diversity of types of uncertainty often faced by farmers in agricultural land use and the uncertainty has been used as a basis by farmers to consider the types of commodities to be cultivated.

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