scholarly journals IDENTIFICATION OF AGRICULTURAL SECTOR LEADING COMMODITIES IN MAGELANG DISTRICT

2020 ◽  
Vol 4 (2) ◽  
pp. 247-255
Author(s):  
Danta Paramartha ◽  
Mukson Mukson ◽  
Budi Adi Kristanto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Growth Patterns ◽  
Series Data ◽  
Agricultural Commodity ◽  
Sweet Potatoes ◽  
Location Quotient ◽  
Fast Growing ◽  
Central Java

Determination of leading commodities is needed to know the potential and prospective commodities that can be developed in an area. Leading commodities are expected to provide greater revenue compared to other commodities. This study aims to determine the leading agricultural subsector that has the potential to be developed as a driver of the economy in Magelang District. and analyze the trends in the growth patterns of subsector and leading agricultural commodities in the district. The method used in this study is descriptive method. The data used is time series data, namely secondary data from the GRDP of Magelang and Central Java Provinces in 2013-2017 and data on the amount of agricultural commodity production over a 7-year period (2011-2017). Data analysis tools used are Analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology Analysis.The results of the study shows that, horticultural plants, livestock, forestry and natural resources are base / leading subsectors of agricultural sector in Magelang District. The pattern and structure of the growth of the food crop subsector is among those that are rapidly developing, while the horticulture and livestock are among the advanced but depressed subsectors and the most advanced and fast growing food crops are sweet potatoes. On the other hand, the fast-growing group of horticultural commodities of vegetables are cabbage, cayenne pepper, tomatoes, cauliflower, cucumber, scallion, and carrots, whereas horticultural commodities in advanced and fast-growing fruit groups are rambutan and salak. In addition, the rapidly growing livestock commodities are cows, buffaloes, pigs, native chickens, and ducks. Finally the advanced but depressed commodities are goats and broilers.

scholarly journals ANALYSIS OF SUPERIOR CROPS LOCATION IN EAST JAVA, INDONESIA

2021 ◽  
Vol 21 (1) ◽  
pp. 51-58
Author(s):  
Hanifatus Sahro ◽  
S Chen ◽  
S Sujarwo
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Growth Patterns ◽  
Regional Economic Growth ◽  
Series Data ◽  
Green Beans ◽  
Location Quotient ◽  
Regional Economic

Regional development is an important aspect in improving the regional economy, and its relationship with the national economy. East Java Province is one of the regions with the most potential agricultural sector and is the highest national granary area in Indonesia. Maximizing the potential of the resources owned by East Java will accelerate the development process and increase the regional and national economy. For the economic growth,this study aims to examine the crops performance to estimate the pattern of regional economic growth in East Java. The time series data of East Java Central Bureau of Statistics from2008 to 2017 are adopted. The location quotient analysis and shift-share analysis with three indicators, namely regional economic growth, proportional shift growth, and differential shift, are used.The results showed that crops such as corn, green beans, peanuts, soybeans, rice, sweet potatoes, and cassava in 29 districts and 9 cities of East Java have crucial performance and economic growth patterns. As the results, to consider and identify priority policy plans to accelerate regional economic development and growth are suggested.

scholarly journals KAJIAN BASIS DAN PRIORITAS DALAM SEKTOR PERTANIAN BAGI PEMBANGUNAN WILAYAH PESISIR BENGKULU

2014 ◽  
Vol 13 (1) ◽  
pp. 44-50
Author(s):  
Melli Suryanty ◽  
. Sriyoto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Development Planning ◽  
Series Data ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Year 2000 ◽  
Agriculture Development ◽  
Share Value

The objectives of this research were to identify agriculture subsectors that can be the sector basis for the region development, and give information about priority scale of agriculture subsectors development in Bengkulu region development planning. This research used the secondary data gained from time series data from year 2000-2011. Analysis methods used in this research were sector contribution, location quotient, and shift share analysis. The results of the research showed that fishery subsector gave significant contribution for Bengkulu City PDRB. Fishery subsector became the basis and main priority of the agriculture development in year 2000-2011. This was shown from the biggest contribution value, location quotient value was greater than 1, and positive shift share value. The main priority of agriculture sector development is fishery, livestock, food plant, and estate subsector.    Keywords: Basic sector, agricultural sector, regional development.

scholarly journals ANALISIS POTENSI SEKTOR BASIS DAN NON BASIS KOTA SABANG TAHUN 2013-2019

2020 ◽  
Vol 6 (1) ◽  
pp. 89-104
Author(s):  
Ferry Setiawan
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Quadrant Analysis ◽  
Location Quotient ◽  
Strong Growth ◽  
Aceh Province ◽  
Dynamic Location ◽  
Index Value ◽  
Regional Product

The success of a region in improving its economy can be measured by the growth of  Gross Domestic Regional Product (GDRP) from various existing sectors. This Gross Domestic Regional Product (GDRP) growth occurs if the region has a leading sector or a basic sector whose growth rate is relatively fast and has strong competitiveness and a non-basic sector that has the opportunity to become a basic sector if the local government is able to condition the opportunities that exist into an optimal result. This study uses secondary data obtained from the Central Statistics Agency (BPS) of Aceh Province in the form of time series data for 7 years, namely the 2013-2019 period. This research was conducted to identify the basic and non-basic sectors in the economic structure of the City of Sabang for the period 2013 - 2019 using the LQ (location quotient) analysis method, the Dynamic Location Quotient (DLQ) method, Shift Share Analysis, and quadrant analysis. 10 basic sectors with the highest average index value SLQ ≥ 1 and 7 sectors which are non-basic sectors with index numbers <1. In the quadrant analysis from the results of the existing Shift-Share calculations, there are 3 sectors in Quadrant I with fast and strong growth,3 sectors in Quadrant II with slow and strong growth, and 11 sectors in Quadrant III with fast growth but have weak competitiveness

scholarly journals Kluster Tanaman Pangan Unggulan di Provinsi Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 55-68
Author(s):  
Choiroel Woestho ◽  
Milda Handayani ◽  
Adi Wibowo Noor Fikri
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Food Plants ◽  
Series Data ◽  
Food Crops ◽  
Food Crop ◽  
Land Area ◽  
Location Quotient ◽  
Central Java ◽  
Central Java Province

The food crop sector has an important role for regions in Indonesia. Food plants can be a determinant for an area in meeting the needs of the people in that area. In addition, the food crop sector, if developed, can become revenue for the region. This study aims to analyze the leading food plants in 35 districts / cities in Central Java Province. By using the location quotient (LQ) method and the Regional Specialization Index. The data used is time series data from 2014 to 2019 in 35 districts / cities in Central Java Province for food crops based on land area and production. The results obtained for the average LQ value of food crops based on land area, there are only 12 districts / cities which are the basis for superior food crops with Wonogiri Regency at the top. Meanwhile, based on the average LQ value based on production, only 11 districts / cities are the basis for superior food crops with Semarang Regency being the top. For the specialization index based on both land area and production, there is no Regency / City that specializes in Central Java Province.   Keywords: Foodcrop Sector, Location Quotient, Specialization Index, Central Java   Abstrak   Sektor tanaman pangan mempunyai peranan penting bagi daerah di Indonesia. Tanaman pangan dapat menjadi penentu bagi suatu daerah dalam memenuhi kebutuhan masyarakat yang ada di daerah tersebut. Selain itu, sektor tanaman pangan jika dikembangkan dapat menjadi pendapatan bagi daerah. Penelitian ini bertujuan untuk menganalisis tanaman pangan unggulan yang ada di 35 Kabupaten/Kota pada Provinsi Jawa Tengah. Dengan menggunakan metode location quotient (LQ) dan Indeks Spesialisasi Regional. Data yang digunakan adalah data time series selama tahun 2014 hingga tahun 2019 pada 35 Kabupaten/Kota di Provinsi Jawa Tengah untuk tanaman pangan berdasarkan luas lahan dan produksi. Hasil yang diperoleh untuk nilai rata – rata LQ tanaman pangan berdasarkan luas lahan, hanya terdapat 12 Kabupaten/Kota yang menjadi basis bagi tanaman pangan unggulan dengan Kabupaten Wonogiri berada di urutan teratas. Sementara berdasarkan nilai rata – rata LQ berdasarkan produksi, hanya 11 Kabupaten/Kota yang menjadi basis tanaman pangan unggulan dengan Kabupaten Semarang menjadi urutan teratas. Untuk indeks spesialisasi baik berdasarkan luas lahan dan produksi, tidak ada Kabupaten/Kota yang mempunyai spesialisasi terhadap Provinsi Jawa Tengah.   Kata kunci: Tanaman Pangan, Indeks Lokalisasi, Indeks Spesialisasi, Jawa Tengah

scholarly journals Analisis Potensi Ekspor Hasil Pertanian Tanaman Pangan di Kabupaten Pati

2018 ◽  
Vol 6 (1) ◽  
pp. 62-68
Author(s):  
Magdalena Sitindaon
Keyword(s):  
Analytical Method ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Agricultural Products ◽  
Agricultural Crops ◽  
Agricultural Systems ◽  
Agricultural Commodity ◽  
Green Beans ◽  
Location Quotient ◽  
Central Java

Kabupaten Pati merupakan salah satu daerah di Jawa Tengah yang memiliki potensi besar dalam bidang pertanian. Slogan Pati Bumi Mina Tani sangat tepat diberikan untuk daerah ini mengingat banyaknya komoditi pertaniannya yang menjadi andalan seperti misalnya padi, ketela pohon, pisang, kacang hijau, semangka, tebu, kelapa kopyor, kopi, cengkeh, perikanan laut dan masih banyak lagi. Bahkan tidak sedikit dari komoditi tersebut yang berkualitas ekspor. Penelitian ini bertujuan untuk mengetahui bagaimana pertumbuhan tanaman pangan di Kabupaten Pati dan menganalisis potensi ekspor hasil pertanian tanaman pangan yang ada di Kabupaten Pati. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari Badan Pusat statistik (BPS) Provinsi Jawa Tengah dan Kabupaten Pati, Dinas Perindustrian dan Perdagangan, jurnal serta literature yang berkaitan dengan penelitian ini. Metode analisis yang digunakan yaitu Analisis Deskriptif, laju pertumbuhan dan Analisis Location Quotient (LQ).Hasil penelitian ini menunjukkan bahwa komoditi pertanian tanaman pangan di Kabupaten Pati yang berpotensi ekspor yaitu tanaman ubi kayu dan kacang hijau. Saran yang dapat diberikan dari penelitian ini adalah Pemerintah Kabupaten Pati sebaiknya memberi perhatian secara khusus dalam pengembangan sistem pertanian dalam memproduksi komoditi yang memiliki potensi  untuk diekspor sehingga dapat meningkatkan pendapatan daerah dan masyarakat dan mencari pasar untuk memasarkan hasil-hasil pertanian Kabupaten Pati.  Pati regency is one area in Central Java, which has great potential in agriculture. Pati slogan Earth Mina Tani very appropriate given for this area considering the number of agricultural commodities are a mainstay such as rice, cassava, bananas, green beans, watermelon, sugarcane, coconut kopyor, coffee, cloves, sea fishing and much more. Not even a hint of the quality commodity exports. This study aims to find out how to grow food in Pati Regency and analyze the potential export of agricultural crops in Pati regency. The data used in this research is secondary data obtained from the Central Bureau of statistics (BPS) and the District of Central Java Pati, Department of Industry and Trade, journals and literature associated with the study. The analytical method used is descriptive analysis, the rate of growth and Analysis of Location Quotient (LQ) The results of this study indicate that agricultural commodity crops in Pati regency are potential export of cassava and green beans. Advice can be given from this research is Pati regency government should give special attention to the development of agricultural systems in producing commodities that have the potential to be exported so that it can increase the income of the area and the community and looking for markets to sell agricultural products Pati regency.

Analysis of Revenue Inequality and Development of Leading Economic Sectors of District and City in Banten Province, Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Bima Mulia ◽  
Mohamad Arief Setiawan ◽  
Kalfin Kalfin
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Time Data ◽  
Economic Sectors ◽  
Location Quotient ◽  
Interregional Inequality ◽  
Dynamic Location ◽  
Underdeveloped Region

The imbalance of inter-regional economic development is a common phenomenon that occurs in the process of economic development of a region. This interregional inequality was originally caused by differences in natural resource content and differences in demographic conditions in each region. As a result of these differences, the ability of an area to increase economic growth and encourage the development process also becomes different. Therefore, it is not surprising that in every region there is usually a relatively developed region and a relatively underdeveloped region. This study aims to analyze how big the level of income inequality that occurs between regencies/cities in Banten Province. Identifying the base sector in each district/city in Banten Province, and predicting the base sector in the future in each Regency/City of Banten Province. Data used in this study is secondary data in the form of time series data to see Developments and changes that occur over a period of time. Data analysis used in this research is Location Quotient (LQ), Dynamic Location Quotient (DLQ), Williamson and Thiel Index. The results of this study are inequality that occurred in Banten is measured by using Williamson Index included in the category of Medium Inequality. On the measurement of Thiel Entropy Index, inequality in Lebak Regency is the lowest and Kota Cilegon has the highest imbalance in Banten Province.

scholarly journals Pengaruh Upah Minimum Kabupaten/Kota (UMK) dan Pembangunan Manusia Berbasis Maqashid Syariah terhadap Jumlah Kemiskinan di Kabupaten Grobogan Jawa Tengah

IQTISHODUNA ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 39-58
Author(s):  
Ria Safitri ◽  
Jadzil Baihaqi ◽  
S. Supriyadi
Keyword(s):  
Human Development ◽  
Minimum Wage ◽  
Time Series Data ◽  
Basic Needs ◽  
Secondary Data ◽  
Poverty Measurement ◽  
Series Data ◽  
Data Types ◽  
Central Java ◽  
Central Statistics

This study aims to determine the effect of City Minimum Wage and human development based on maqashid shari'a on the amount of poverty in Grobogan, Central Java. This study uses a quantitative approach with secondary data types obtained from the Central Statistics Agency (BPS) and the Office of the Ministry of Religion Grobogan Regency. This research method uses multiple regression analysis techniques with time-series data from 2011 to 2017. Data analysis in this study uses Eviews 7 software. The results showed that the city minimum wage had a negative effect on the amount of poverty in Grobogan Regency. Whereas human development based on maqashid shari'a has a negative and not significant effect on the amount of poverty in Grobogan Regency. Human development based on maqashid shari'a has a negative and insignificant effect due to poverty measurement used by the Central Statistics Agency (BPS) using the concept of ability to meet basic needs (basic need approach). With this approach, poverty is seen as an inability from the economic side to meet the basic needs of food and non-food which are measured in terms of expenditure and income, so that other components cannot be directly linked to poverty.

scholarly journals Pengaruh Infrastruktur terhadap Pertumbuhan Ekonomi di Provinsi Jawa Tengah

2020 ◽  
Vol 5 (02) ◽  
pp. 169-179
Author(s):  
Saadatul Kamilla ◽  
Dinar Melani Hutajulu
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Series Data ◽  
Economic Activities ◽  
The Road ◽  
Central Java ◽  
Independent Variable ◽  
Basic Infrastructure

ABSTRACT One of the most important aspects in economic development is infrastructure. Adequate and equitable infrastructure in all regions of a country will facilitate economic performer in accessing and carrying out economic activities. A good economic activities will create economic growth. The main purpose of this research is to know the effect of infrastructure on economic growth. The study was conducted in Central Java province using secondary data from 2006-2018. The independent variable of this study is the basic infrastructure including roads, electricity and water. While the dependent variable is the GRDP. The model used is multiple linear regression model using time series data. The results of this study indicate that the road infrastructure variable is significant to  influence on economic growth. The variable infrastructure of electricity shows significant results and have a positive effect on economic growth. Variable infrastructure of water shows the results are insignificant on economic growth. Keywords: economic growth, road, electricity, water

scholarly journals Study komperasi struktur ekonomi Negara ASEAN

2020 ◽  
Vol 9 (1) ◽  
pp. 37-50
Author(s):  
Syaparuddin Syaparuddin ◽  
Selamet Rahmadi ◽  
Yusnita Yusnita
Keyword(s):  
Service Sector ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Economic Structure ◽  
Industrial Sector ◽  
The Philippines ◽  
Series Data ◽  
Brunei Darussalam ◽  
Asean Countries

This study aims to analyze: 1) changes in the economic structure of ASEAN countries; 2) comparison of the economic structure of ASEAN countries. The data used in this research is secondary data which includes 2000-2016 time-series data and 10 countries cross-sections. Based on the results of the analysis, it shows that changes in the economic structure of ASEAN countries from 2000 to 2016 fluctuated each year. It can be seen from the GDP data on the average contribution of sectors based on business fields and based on shifting sub-sectors, namely the agricultural sector, the industrial sector, and the service sector. From the economic structure of ASEAN countries apart from (Singapore) for the agricultural sector, the largest contribution was Myanmar 40.55%, and the lowest contribution was Brunei Darussalam 0.89%. For the industrial sector, the largest contribution was Brunei Darussalam 66.79%, and the lowest contribution was Myanmar 23.22%. The service sector with the largest contribution was the Philippines at 54.91%, and the lowest contribution was Brunei Darussalam 32.31%. Keywords: Leading sector, Shift-share, Economic Structure, GDP

scholarly journals ANALISIS SEKTOR-SEKTOR PEMBENTUK PDRB DAN PENENTUAN SEKTOR UNGGULAN DI WILAYAH KABUPATEN KEBUMEN

1970 ◽  
Vol 13 (1) ◽  
Author(s):  
Emma Dwi Ratnasari
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Location Quotient ◽  
Business Services ◽  
Growth Ratio ◽  
Services Sector ◽  
Central Java ◽  
Agriculture Industry ◽  
Typology Analysis

This study aims to analyze the forming of GRDP sectors in Kebumen, and determine which sectors are priorities to be developed in order to encourage economic growth Kebumen. The research uses descriptive analytical method, the data used are secondary data in the form of time series of GDP Kebumen and Central Java Province with the observation year 2005 to 2009. The analysis used is the analysis of LQ (Location Quotient), shift share, Typology Klassen, Model Growth Ratio (MRP), and Overlay. Results Analysis of Location Quotient (LQ) shows the basic sector in Kebumen is Mining and Quarrying sector, Agricultural sector, services sector and financial sector, Rental and Service, no visible shift of economic structure, where the primary sector is still a focus for regional income, Overlay analysis produced 5 seed sector, the Mining and Quarrying Sector, Agricultural Sector, Industry Sector, Finance, Ownership, and Corporate Services and Services, Klassen Typology analysis showed that the Mining and Quarrying sector and the services sector is a sector advanced and rapidly growing sector, Agriculture and Financial sectors, Renting and Business Services is an advanced but depressed sector, Manufacturing sector is a potential sectors / could still be developed, the analysis of the leading sectors that need to be developed namely Services sector. Based on the analysis in this study, several suggestions can be presented as follows: Kebumen district must give priority to the services sector with a competitive advantage as well as specialization without having to neglect other sectors. Need to develop co-operation of Agriculture, Industry and Services are intensive and sustainable.

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