Analisis Sektor Unggulan Aceh Bagian Timur

This study aims to analyze the leading sectors in the economy in Eastern Aceh. The data analysis method used is Location Quotient (LQ) analysis and Shift Share analysis. Based on the calculation of LQ, it is known that the leading sector of East Aceh Regency is the mining sector and the LQ excavation from 2010-2016 with an average of 1,68 (LQ>1). This is because the availability of mineral content in East Aceh Regency increases the regional economy. The leading sector of Langsa City is health services and social activities with an average LQ since 2010-2016 of 2,10 (LQ>1). The leading sector of Aceh Tamiang Regency is the mining sector and excavation with an average LQ from 2010-2016 of 1,77 (LQ>1). Based on the shift share analysis, it is explained that the highest sector providing an increase in Aceh's GDRP was in the agriculture, forestry and fisheries sectors, and it was in the East Aceh District and Aceh Tamiang District, while Langsa City was not included. The sector that contributes to the increase in Aceh's GDRP, in Langsa City the sector that provides the highest increase in Aceh's GDRP is the sector of large and retail trade, car and motorcycle repair.

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Penentuan Sektor Unggulan di Kabupaten Kepulauan Anambas

Jurnal Samudra Ekonomi dan Bisnis ◽

10.33059/jseb.v11i1.1790 ◽

2020 ◽

Vol 11 (1) ◽

pp. 95-110

Author(s):

Ruth Yuliani Hutabarat

Keyword(s):

Data Analysis ◽

Health Services ◽

Rapid Growth ◽

Social Activities ◽

Construction Sector ◽

Reference Area ◽

Analysis Method ◽

Location Quotient ◽

Real Estate Sector ◽

Typology Analysis

This paper aims to analyze the leading sectors of the economy in Kepulauan Anambas Regency. The data analysis method used is the Location Quotient (LQ), Shift-Share, and Klassen Typology, with the analysis area of Kepulauan Anambas Regency and the reference area of Kepulauan Riau Province. Based on LQ analysis, it is known that the leading sector of Kepulauan Anambas Regency is Agriculture, Forestry, and Fisheries sector, as well as Mining and Quarrying sector. Based on Shift-Share analysis, it is known that the Construction sector and Health Services and Social Activities sector are sectors with rapid growth, while the Agriculture, Forestry, and Fisheries sectors are stunted but growing sectors. Based on the Klassen Typology analysis, it is found that the Agriculture, Forestry and Fisheries Sector is the leading sector and has rapid growth. While the Mining and Quarrying sector is the leading sector but the growth is stunted. The Construction sector, Real Estate sector, and Health Services and Social Activities sector which are potential sectors and can still be developed.

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

Jurnal Tataloka ◽

10.14710/tataloka.20.4.472-485 ◽

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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BANK SPÓŁDZIELCZY (COOPERATIVE BANK) AS A GUARANTOR OF THE STABILISATION OF THE LOCAL FINANCIAL SYSTEM1

SCIENTIFIC BULLETIN OF POLISSIA ◽

10.25140/2410-9576-2019-1(17)-173-179 ◽

2019 ◽

pp. 173-179

Author(s):

Andrzej Pawlik

Keyword(s):

Data Analysis ◽

Banking Sector ◽

Statistical Data ◽

Local Development ◽

Banking System ◽

Analysis Method ◽

Statistical Data Analysis ◽

Data Analysis Method ◽

Strong Position ◽

Cooperative Banks

Urgency of the research. One of the most essential sources of supporting regional and local development is the banking system. Target setting. The study presented describes cooperative banking, represented by Bank Polskiej Spółdzielczości S.A. and Bank Spółdzielczy w Kielcach. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development. Actual scientific researches and issues analysis. The foundations for the modern cooperative banking sector were laid by cooperative financial organisations functioning more than 150 years ago [Pawlik, 2017, s. 152]. Its history is connected with difficulties faced in the period of partitions, work at the foundations after the end of World War I and Poland’s regaining its national independence. Uninvestigated parts of general matters defining. At present, cooperative banking functions as a result of the adoption by the Sejm of the Republic of Poland on 7 December 2000 of the act on the functioning of cooperative banks, their associations and associating banks, which ensured new legal conditions for the functioning of the sector2. The research objective. The article formulates the hypothesis that nowadays activities of cooperative banks will contribute to regional and local development. The statement of basic materials. One of the most essential sources of supporting regional and local development is the banking system. This system can guarantee the stabilisation of the local financial system. By supporting the development of regional and local entrepreneurship through loans, investment activities of the banks and financial and investment consulting, it will determine the identity of the region concerned. Conclusions. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development.

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PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

Jurnal Manajemen Bisnis Krisnadwipayana ◽

10.35137/jmbk.v6i2.187 ◽

2018 ◽

Vol 6 (2) ◽

Author(s):

Ismail Razak, SE., MS. ◽

Silviana Fadilla Prasevie

Keyword(s):

Data Analysis ◽

Linear Regression ◽

Service Quality ◽

Multiple Linear Regression ◽

Customer Value ◽

Sampling Method ◽

Analysis Method ◽

Simple Linear Regression ◽

Central Java ◽

Data Analysis Method

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers

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PENGARUH KUALITAS LAYANAN DAN CITRA PERUSAHAAN TERHADAP KEPUASAN NASABAH

Jurnal Manajemen Bisnis Krisnadwipayana ◽

10.35137/jmbk.v5i2.113 ◽

2017 ◽

Vol 5 (2) ◽

Author(s):

Ismail Razak, SE., MS. ◽

Elza Finnora

Keyword(s):

Data Analysis ◽

Linear Regression ◽

Multiple Linear Regression ◽

Sampling Method ◽

Services Quality ◽

Corporate Image ◽

Primary Data ◽

Analysis Method ◽

Simple Linear Regression ◽

Data Analysis Method

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.

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