scholarly journals Kontribusi Sektor Pertanian terhadap Produk Domestik Regional Bruto (PDRB) di Kabupaten Tabalong

2020 ◽  
Vol 9 (2) ◽  
pp. 756-762
Author(s):  
Azwar Saihani ◽  
Lina Heldayani
Keyword(s):  
Analytical Method ◽  
Rapid Growth ◽  
Agricultural Sector ◽  
Slow Growth ◽  
The Other ◽  
Food Crops ◽  
Location Quotient ◽  
Contribution Analysis ◽  
Constant Prices

       This study aims to determine the basis and non-basis, the contribution and growth of each agricultural subsector to the GRDP in Tabalong Regency from 2013 to 2017. The analytical method used is the Location Quotient analysis, contributions, and shift-share. The data used are Tabalong Regency GRDP data from 2013 to 2017 based on constant prices. The time of the study starts from June 2018 until August 2019. The results of the study based on the Location Quotient analysis show that the subsector that is the base subsector is the plantation subsector while the other subsectors such as food crops, horticulture, and fisheries are the non-basis subsector in Tabalong Regency. The results of the Contribution analysis show that of the five agricultural subsectors in Tabalong District, the highest contribution to the agricultural sector was the plantation subsector in the last five years by 47.87%. The results of the Shift Share analysis show the growth of each agricultural sub-sector in the economy of the Tabalong district is different as seen from the proportional growth of the food crops, livestock and fisheries sub-sectors experiencing rapid growth while the horticulture and plantation sub-sectors experienced slow growth. which is not competitive or less competitive with other regions in South Kalimantan Province.This study aims to determine the basis and non-basis, the contribution and growth of each agricultural subsector to the GRDP in Tabalong Regency from 2013 to 2017. The analytical method used is the Location Quotient analysis, contributions, and shift-share. The data used are Tabalong Regency GRDP data from 2013 to 2017 based on constant prices. The time of the study starts from June 2018 until August 2019. The results of the study based on the Location Quotient analysis show that the subsector that is the base subsector is the plantation subsector while the other subsectors such as food crops, horticulture, and fisheries are the non-basis subsector in Tabalong Regency. The results of the Contribution analysis show that of the five agricultural subsectors in Tabalong District, the highest contribution to the agricultural sector was the plantation subsector in the last five years by 47.87%. The results of the Shift Share analysis show the growth of each agricultural sub-sector in the economy of the Tabalong district is different as seen from the proportional growth of the food crops, livestock and fisheries sub-sectors experiencing rapid growth while the horticulture and plantation sub-sectors experienced slow growth. which is not competitive or less competitive with other regions in South Kalimantan Province.

scholarly journals Peran Sektor Pertanian terhadap Perekonomian Kabupaten Hulu Sungai Utara

2020 ◽  
Vol 10 (1) ◽  
pp. 18-25
Author(s):  
Azwar Saihani ◽  
Purna Kusumayana ◽  
Laila Mayang Sari
Keyword(s):  
Analytical Method ◽  
Rapid Growth ◽  
Agricultural Sector ◽  
Slow Growth ◽  
Secondary Data ◽  
Government Agencies ◽  
Food Crop ◽  
Third Place ◽  
The Third ◽  
The Past

This study aims to determine the contribution, position, growth, and basis and non basis of each agricultural subsector to the GRDP in the economy of Hulu Sungai Utara Regency from 2013-2017.  The data used is secondary data originating from the Central Bureau of Statistics and related government agencies.  The analytical method used is contribution analysis, typology of class, shift share and LQ.  The results showed that of the five agricultural sub-sectors in North Hulu Sungai Regency the highest contribution to the agricultural sector was the food crop subsector in the past five years at 61.07%.  The position of the five agricultural sub-sectors is in the third place, which means that the five subsectors are potential or can still develop.  The growth of each agricultural sub-sector in the economy of Hulu Sungai Utara Regency varies from the proportional growth of the food, livestock and fisheries sub-sectors to rapid growth while the horticulture and plantation subsectors experienced slow growth. The five agricultural sub-sectors are not competitive or lack competitiveness with other regions in South Kalimantan Province.  The subsector which is the subsector of the base is the food, livestock and fisheries subsector while the horticulture and plantation subsector is the non-base sub-sector in North Hulu Sungai Regency.

Peranan Sektor Pertanian dalam Perekonomian Kabupaten Manokwari

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Secondary Data ◽  
Least Square ◽  
Food Crops ◽  
Literature Study ◽  
Location Quotient ◽  
Ordinary Least Square ◽  
Plantation Crops ◽  
Vegetables And Fruits

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>

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).

Deep Learning Applications in Agriculture

2021 ◽  
pp. 325-345
Author(s):  
Hari Kishan Kondaveeti ◽  
Gonugunta Priyatham Brahma ◽  
Dandhibhotla Vijaya Sahithi
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Deep Learning ◽  
Rapid Growth ◽  
Agricultural Sector ◽  
The Other ◽  
Learning Methods ◽  
Agriculture Sector ◽  
Learning Techniques ◽  
Recent Trends

Deep learning (DL), a part of machine learning (ML), comprises a contemporary technique for processing the images and analyzing the big data with promising outcomes. Deep learning methods are successfully being used in various sectors to gain better results. Agriculture sector is one of the sectors that could be benefitted from the deep learning techniques since the current agriculture techniques cannot keep up with the rapid growth in population. In this chapter, the recent trends in the applications of deep learning techniques in the agricultural sector and the survey of the research efforts that employ deep learning techniques are going to be discussed. Also, the models that are implemented are going to be analyzed and compared with the other existing models.

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 Contribution of Agricultural Sector and Sub Sectors on Indonesian Economy

2016 ◽  
Vol 18 (3) ◽  
pp. 150 ◽  
Author(s):  
Refa’ul Khairiyakh ◽  
Irham Irham ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Agricultural Sector ◽  
Linear Trend ◽  
Research Use ◽  
Food Crops ◽  
Food Crop ◽  
Location Quotient ◽  
Linear Trend Analysis ◽  
Increasing Trend ◽  
Dynamic Location

This research aimed to analyze trend of agricultural GDP and agricultural contribution in Indonesia, and identify the role of agricultural sector and sub sectors in provinces of Indonesia. Source of data this research use linear trend analysis to analyze trend agricultural Gross Domestic Product (GDP) and agricultural contribution. Location Quotient (LQ), Dynamic Location Quotient (DLQ), and combination LQ and DLQ is used to identify the role of agricultural sector and sub sectors. The analysis found that agricultural GDP in Indonesia has increasing trend while agricultural contribution has decreasing trend. Agricultural sector is basic sector in 29 provinces in Indonesia. Farm food crop is leading sub sector in 6 provinces, farm non food crops is leading sub sector in 14 provinces, livestock is leading sub sector in 3 provinces, forestry is leading sub sector in 1 provinces, fishery is leading sub sector in 5 provinces.

scholarly journals Pemanfaatan SIG untuk Pemetaan Kawasan Produksi Komoditas Unggulan Tanaman Pangan di Kabupaten Pacitan

2020 ◽  
Vol 4 (3) ◽  
pp. 154-171
Author(s):  
Agung Jauhari
Keyword(s):  
Rural Areas ◽  
Agricultural Sector ◽  
Hot Spot ◽  
Development Planning ◽  
Policy Formulation ◽  
Food Crops ◽  
Food Crop ◽  
Location Quotient ◽  
Growth Ratio ◽  
Production Area

GIS Utilization for Mapping the Leading Food Crops Commodities Production Area in Pacitan Regency Nowadays, the regional development planning concept focuses on the development of remote and rural areas. The agricultural sector, particularly food crops, cannot be separated from the development of rural areas. Development of leading food crop commodities based on production can be accelerated using Geographic Information System (GIS). The objectives of this research are to identify leading food crop commodities in Pacitan Regency and to map their production areas. Analyses of Sectoral Contribution Index, Growth Ratio Model, Dynamic Location Quotient (DLQ), Supply-Demand Ratio, and Composite Index were conducted to identify the leading food crop commodities. Meanwhile, the production area of those food crops were determined by utilizing Hot Spot (Getis Ord Gi*) analysis on village unit. The results show that cassava, corn, and rice are leading food crop commodities in Pacitan Regency. Hot Spot analysis results show that there are two clusters of leading food crop commodity development: the Northeast and Northwest of Pacitan Regency. Northeast around Bandar District, is the center production of cassava, corn, and rice. Meanwhile, Northwest around Punung District, is the location of rice production. This research is expected to contribute to policy formulation to determine leading food crop commodities and developing agropolitan area in Pacitan Regency.

scholarly journals PERANAN SEKTOR PERTANIAN TERHADAP PEREKONOMIAN DI KABUPATEN MINAHASA SELATAN

2016 ◽  
Vol 12 (2A) ◽  
pp. 239
Author(s):  
Julio P.D. Ratag ◽  
Gene H.M. Kapantow ◽  
Caroline B.D. Pakasi
Keyword(s):  
Agricultural Sector ◽  
Secondary Data ◽  
The Other ◽  
Food Plants ◽  
Domestic Product ◽  
Location Quotient ◽  
Position Analysis ◽  
North Sulawesi ◽  
The One

The aim of this research is to known the role of agricultural sector in South Minahasa Regency. The role was measured by sector position analysis and is the agriculture subsector was the base sector or nonbase by seeing the contribution of the agricultural sectorto the farming of Gross Regional Domestic Product in South Minahasa Regency. The data that has been used in this research was the secondary data by the Central Statistic Board of North Sulawesi Province, also the Agricultural and Livestock Service of South Minahasa Regency. The result of this research shows that the agricultural sector was the biggest contributor in the forming of GDRP in South Minahasa Regency. By using location quotient (LQ) analysis, the agricultural sector was one of the base sectors in the other sectors of econonomics, while agriculture subsector which was the base subsector is the one-season horticulture plants subsector. Based on the result of Dinamic Location Quotient (DLQ) analysis, the agricultural sector was predicted still be the base sector of South Minahasa Regency for five years ahead. Furthemore, the prediction of the agricultural subsector that have the potention of becoming the base subsector in the future is food plants subsector, one-sesion horticulture plants subsector, a-year horticultural subsector etcetera, a-year plantation subsector, livestock subsector, the service of agricultural subsector and hunting, and the fisheries subsector.

ANALISIS EKONOMI DAN SEKTOR UNGGULAN UNTUK PENGEMBANGAN HALMAHERA TENGAH

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Djarwadi Djarwadi ◽  
Sunartono Sunartono
Keyword(s):  
Economic Growth ◽  
Analytical Method ◽  
Spatial Planning ◽  
Agricultural Sector ◽  
Domestic Product ◽  
Location Quotient ◽  
Services Sector

This study is conducted in 2008, is one part of the Spatial Planning of CentralHalmahera years 2009-2019. The analytical method used is the shift share and the location quotient. The data analyzed is the Gross Regional Domestic Product from Central Halmahera regency and North Maluku province. Shift share analysis results show that the economy of Central Halmahera grows faster that of the province of North Maluku. However economic growth was shifted from mining and quarrying sector to the agricultural sector. While the leading sector in Central Halmahera regency as still in the mining and quarrying sector, agricultural sector, and commerce and services sector.

scholarly journals ANALISIS KOMODITAS UNGGULAN TANAMAN PANGAN DAN HORTIKULTURA DI KABUPATEN MEMPAWAH

2016 ◽  
Vol 5 (1) ◽  
pp. 39
Author(s):  
ADE IRMAYADI ◽  
ERLINDA YURISINTHAE ◽  
ADI SUYATNO
Keyword(s):  
Food Security ◽  
Agricultural Sector ◽  
Economic Life ◽  
Domestic Product ◽  
Food Crops ◽  
Ratio Model ◽  
Location Quotient ◽  
Growth Ratio ◽  
The People ◽  
Dynamic Location

Mempawah Regency Government has a mission to improving the economy that oriented to the community. The goal is to develop the economy through food security (agriculture commodity crops, horticulture, livestock, fisheries and biodiversity) and reinforced by forests management and plantations to improve the welfare of farmers. Mempawah regency is one of the regencys that the economic life of the people still depend on agribusiness system, particularly the agricultural sector. Based on the (Gross Regional Domestic Product) GRDP value of Mempawah Regencys years 2008 to 2012 the agricultural sector, especially the food crops subsector has the highest contribution to Mempawah Regency’s GRDP compared to other subsectors. The goal of this study is to analyze which subsector that became the basis of agricultural sector in the Mempawah Regency and the leading commodity of food crops and horticulture. This study uses three analysis tools i.e Dynamic Location Quotient Analysis to analyze what is the basis of the agricultural sector in the Mempawah Regency. Shift-Share Analysis and Growth Ratio Model Analysis to analyze any commodity which is the leading commodities of food crops and horticulture. The results from this study is, subsectors which are the basis of the agricultural sector in the Mempawah Regency is the food crops, forestry, and fishery subsector. The leading commodity in the Mempawah Regency of food crops are rice, the leading commodities of vegetables are cucumbers and kangkung, and the leading commodity of fruits are bananas.Keywords : Basis, Leading Sector, Food Crops Subsector and Horticulture

Sign in / Sign up

Export Citation Format

Share Document