scholarly journals Spatial Analysis Of Buffalo Development In Brebes Regency

2020 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Nanang Nur Rozaq ◽  
Mochamad Sugiharto
Keyword(s):  
Data Analysis ◽  
Spatial Analysis ◽  
Correlation Analysis ◽  
Rice Plant ◽  
Secondary Data ◽  
Spatial Dimension ◽  
Secondary Data Analysis ◽  
Analysis Method ◽  
Location Quotient ◽  
The Relationship

The study on spatial dimension of buffalo development in Brebes is intended to (1) analyze the regional shifting patterns of buffalo development within a period of 5 years (2012-2016) and (2) to identify the relationship between the number of farmland areas and the population of buffalo in Brebes Regency. This research employs a secondary data analysis method by utilizing the available data analyzed using a spatial analysis. Location Quotient (LQ) analysis is conducted to analyze the regional shifting patterns of buffalo followed with a product moment correlation analysis to identify the relationship between the number of farmland areas and the population of buffalo livestock. The results show that the buffalo population is related to the number of ​​rice plant areas (P <0.05) as well as that of the peanut plant areas (P <0.01). For the last 5 years (2012-2016), there is no regional shifting pattern in the center for buffalo development in Brebes Regency. The centralization of buffalo develoment in Brebes Regency is located in Salem, Bumiayu, Sirampog, Tonjong, Larangan and Songgom sub-district

scholarly journals Analisis produk tanaman pangan dan hortikultura serta strategi pengembangannya di Kabupaten Kerinci

2021 ◽  
Vol 16 (3) ◽  
pp. 589-600
Author(s):  
Riza Fetra ◽  
Erfit Erfit ◽  
Zamzami Zamzami
Keyword(s):  
Data Analysis ◽  
Development Strategy ◽  
Chinese Cabbage ◽  
Swot Analysis ◽  
Secondary Data ◽  
Analysis Method ◽  
Sweet Potatoes ◽  
Location Quotient ◽  
The Future ◽  
Dynamic Location

The data used is secondary data in the 2015-2019 period. The data analysis method uses Location Quotient (LQ) analysis, Dynamic Location Question (DLQ), and SWOT analysis. The purpose of this study is to determine whether the commodity understudy is included in the base sector or non-base sector by using Location Quotient (LQ) analysis, Dynamic Location Question (DLQ), and its development strategy in Kerinci Regency using SWOT analysis. It was found that the commodities of shallots, chilies, potatoes, cabbage, Chinese cabbage, sweet potatoes, and tomatoes were included in the base commodities using the LQ method. In contrast, with the DLQ method, all the commodities studied would be the basis in the future.  

scholarly journals Personalized religiosity and political activism among Serbian citizens

2020 ◽  
Vol 10 (2) ◽  
pp. 49-67
Author(s):  
Andrijana Maksimović
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Political Participation ◽  
Empirical Research ◽  
Secondary Data ◽  
Political Activism ◽  
Secondary Data Analysis ◽  
Life Force ◽  
The Relationship

This paper uses the data collected by the empirical research of personalized religiosity and political activism, as well as the secondary data analysis of European Value Study - EVS. Personalized religiosity is defined through the following aspects: the belief in a divine being / spirit / life force; inner spirituality; interest in the sacred / supernatural; finding solace in faith; prayer and / or meditation. In operational terms, political activism consists of five variables: sign petitions and join boycotts, participate in legal demonstrations, join unofficial strikes, occupy business facilities or factories. The aim of the paper is to investigate the relationship between a so-called personalized. secular religiosity and political activism as a form of political participation among Serbian citizens. Using regression analysis, we found that personalized religiosity is a positive but not statistically significant predictor of political activism.

Demonstrating Nursing Excellence Through Equality: The Relationship Between Magnet® Status and Organizational LGBTQ Client Services and Support

2019 ◽  
Vol 31 (2) ◽  
pp. 209-215
Author(s):  
Christopher W. Blackwell
Keyword(s):  
Health Care ◽  
Human Rights ◽  
Data Analysis ◽  
Nursing Care ◽  
Health Care Organizations ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Magnet Recognition ◽  
The Relationship ◽  
Health Care Treatment

Introduction: Human Rights Campaign annually scores health care treatment of lesbian, gay, bisexual, transgender, and queer (LGBTQ) employees and clients among four measured dimensions in its Healthcare Equality Index (HEI). The purpose of this study was to determine if the score organizations earned on the 2018 HEI dimension measuring LGBTQ client services and support correlated with organizations’ American Nurses Credentialing Center Magnet® recognition status, a distinction of nursing excellence. Method: Using a secondary data analysis approach, data obtained from Human Rights Campaign that specifically rated LGBTQ client services and support in 2018 HEI participating organizations ( n = 626) were compared with the most recent inventory of American Nurses Credentialing Center Magnet health care organizations ( n = 477). Results: LGBTQ client services and support HEI scores positively correlated with Magnet status ( p = .0002). Discussion: Provision of LGBTQ client services and Magnet recognition is strongly related to higher quality nursing care, suggesting organizations earning Magnet recognition provide more equitable services to its LGBTQ clients.

Analisis Hubungan Inflasi, PDRB, dan PAD terhadap PMA di Kabupaten Semarang

2018 ◽  
Vol 1 (2) ◽  
pp. 100-105
Author(s):  
Dina Febriana Pangestuti
Keyword(s):  
Data Analysis ◽  
Correlation Analysis ◽  
Foreign Investment ◽  
Significant Relationship ◽  
Analytical Method ◽  
Secondary Data ◽  
Quantitative Approach ◽  
Central Java ◽  
The Relationship ◽  
Central Java Province

This study aims to determine the relationship between Inflation, GDP, and PAD with foreign investment in Semarang regency. The data used in this study is secondary data obtained from the Central Bureau of Statistics of Central Java Province. The analytical method used is descriptive with quantitative approach using correlation analysis to know the relationship between Inflation, PDRB, and PAD with foreign investment in Semarang regency. Based on the results of data analysis shows that there is a significant relationship between GDP and foreign investment in Semarang regency. However, in Inflation and PAD variables there is no significant relationship with foreign investment in Semarang regency. Penelitian ini bertujuan untuk mengetahui hubungan antara Inflasi, PDB, dan PAD dengan investasi asing di Kabupaten Semarang. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari Badan Pusat Statistik Provinsi Jawa Tengah. Metode analisis yang digunakan adalah deskriptif dengan pendekatan kuantitatif menggunakan analisis korelasi untuk mengetahui hubungan antara Inflasi, PDRB, dan PAD dengan investasi asing di Kabupaten Semarang. Berdasarkan hasil analisis data menunjukkan bahwa ada hubungan yang signifikan antara PDB dan investasi asing di Kabupaten Semarang. Namun, pada variabel Inflasi dan PAD tidak ada hubungan yang signifikan dengan investasi asing di Kabupaten Semarang.

scholarly journals KONTRIBUSI SEKTOR PERIKANAN DALAM PEREKONOMIAN KABUPATEN MALUKU TENGAH

2018 ◽  
Vol 19 (1) ◽  
pp. 57-71
Author(s):  
Meitha M Kaihatu
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Analysis Data ◽  
Secondary Data Analysis ◽  
Domestic Product ◽  
Economic Sector ◽  
Location Quotient ◽  
Left Behind ◽  
Fisheries Resources ◽  
Constant Prices

Maluku Tengah District have the potential fisheries resources. But the contribution of fishery against Gross Regional Domestic Product (GRDP) only of 6.20%. In general, this research aims to identify and analyze the contribution of fisheries sector in the economy of the Maluku Tengah district, knowing the level of the base, and analyze the fishery economic typology. The methods used are secondary data analysis. Data analysis is an analysis of Shift Share analysis, Location Quotient (LQ), and analysis of the Klassen Typology. The calculation of the value of the contribution, the value of LQ, typology of economic sector of fisheries in Maluku Tengah district obtained the results that the contribution of fishery on the basis of prevailing prices and constant prices put the fishery on the order/rank fifth and sixth in the achieving of GRDP, the sector of fisheries in Maluku Tengah district is not a sector basis with patterns and economic structures that are growing but are at a condition relative's left behind. There are five sub-districts that became a priority and need to be developed/improved, among others: Banda, Tehoru, Salahutu, Leihitu, and Seram Utara.   Kabupaten Maluku Tengah memiliki potensi sumberdaya perikanan yang cukup besar. Namun sumbangan sektor perikanan terhadap Produk Domestik Regional Bruto (PDRB) hanya sebesar 6,20%. Secara umum penelitian ini bertujuan untuk mengidentifikasi dan menganalisis kontribusi sektor perikanan dalam perekonomian wilayah Kabupaten Maluku Tengah, mengetahui tingkat basis, menganalisis tipologi ekonomi sektor perikanan.Metode yang digunakan adalah analisis data sekunder. Analisis data yang digunakan adalah analisis Shift Share, analisis Location Quotient (LQ), dan Analisis Tipologi Klassen. Perhitungan nilai kontribusi, nilai LQ, tipologi ekonomi sektor perikanan di Kabupaten Maluku Tengah diperoleh hasil bahwa kontribusi sektor perikanan atas dasar harga berlaku dan harga konstan menempatkan sektor perikanan pada urutan/peringkat kelima dan keenam dalam pembentukan PDRB, sektor perikanan di Kabupaten Maluku Tengah bukan merupakan sektor basis dengan pola dan struktur ekonomi yang sedang bertumbuh namun berada pada kondisi relatif tertinggal. Terdapat lima kecamatan yang menjadi prioritas dan perlu dikembangkan/ditingkatkan antara lain: Banda, Tehoru, Salahutu, Leihitu, dan Seram Utara.

Descriptive spatial analysis of the cholera epidemic 2008–2009 in Harare, Zimbabwe: a secondary data analysis

2011 ◽  
Vol 105 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Miguel Ángel Luque Fernández ◽  
Peter R. Mason ◽  
Henry Gray ◽  
Ariane Bauernfeind ◽  
Jean François Fesselet ◽  
...  
Keyword(s):  
Data Analysis ◽  
Spatial Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Cholera Epidemic
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