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Analytical Hierarchy Process Approach on Regional Product Competitiveness in Magelang, Central Java Nuryadin, Didi; Sodik, Jamzani
KINERJA Vol 21, No 1 (2017): KINERJA
Publisher : Faculty of Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/kinerja.v21i1.1035

This study aims to identify and analyze the data and information to determine the local featured products through the aspects of value-added, market expansion and production technology. The location is the town of Magelang in which there are many small and medium industries with a wide range of their products. The analytical tools used include common analytical technique used to determine a featured product. They are scoring, value chain and Analytical Hierarchy Process (AHP). The result of the study shows that the main criteria for weighting the featured products are competitive advantage, stakeholders' acceptance and societal benefits. Through all three criteria, there are three main local featured products becoming the. They are getuk (the result of processed cassava), kerupuk tahu (tofu crackers) and ceriping ketela (cassava crackers). Furthermore, through a comparative analysis of the criteria, it can be concluded that the product getuk can be considered as the Regional Industry Core Competence based featured product from Magelang.Keywords: Analytical Hierarchy Proces, Regional Product, Competitiveness

AGLOMERASI DAN PERTUMBUHAN EKONOMI: PERAN KARAKTERISTIK REGIONAL DI INDONESIA Sodik, Jamzani; Iskandar, Dedi
Jurnal Ekonomi & Studi Pembangunan JESP Volume 8 Nomor 2, Oktober 2007
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

The aim of this study is to examine the effect of agglomeration of regional economic growth across 26 provinces in Indonesia. The provincial pooling data for the period of 1994-2003 are regressed using generalized least square (GLS) method. Factors affecting the economic growth are considered such as agglomeration, labor force, inflation rates, openness rate of the provinces, and human capital. The study suggests the influence of three variables on the regional economic growth: labor force, inflation rates and the openness rate of the provinces; whereas the remaining two (agglomeration and human capital) are likely to have no effect.

ANALISIS PENGARUH PERTUMBUHAN EKONOMI, KETIMPANGAN PENDAPATAN, DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP INDEKS KEBAHAGIAAN DI INDONESIA TAHUN 2014 DAN 2017 Sodik, Jamzani; Febriantikaningrum, Bella; Purwiyanta, Purwiyanta
Develop Vol. 5 No. 2 (2021)
Publisher : Universitas Dr. Soetomo

Penelitian ini bertujuan untuk: (1) menganalisis pengaruh pertumbuhan ekonomi terhadap indeks kebahagiaan, (2) menganalisis pengaruh kesenjangan pendapatan terhadap indeks kebahagiaan, (3) menganalisis pengaruh indeks pembangunan manusia (IPM) terhadap kebahagiaan. indeks di 33 provinsi tahun 2014 dan 34 provinsi pada tahun 2017 kemudian membandingkan hasil analisis pada kedua tahun tersebut. Penelitian ini menggunakan data sekunder; indeks kebahagiaan, pertumbuhan ekonomi, kesenjangan pendapatan, dan IPM yang bersumber dari Badan Pusat Statistik. Alat analisis yang digunakan adalah Ordinary Least Squares (OLS). Berdasarkan hasil analisis, pertumbuhan ekonomi tahun 2017, kesenjangan pendapatan tahun 2014 dan 2017 tidak berpengaruh signifikan terhadap indeks kebahagiaan. Sedangkan pertumbuhan ekonomi tahun 2014 dan IPM tahun 2014 dan 2017 berpengaruh positif dan signifikan terhadap indeks kebahagiaan.

DETERMINAN INVESTASI DI DAERAH: STUDI KASUS PROPINSI DI INDONESIA Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Volume 13 Issue 1, 2008: Indonesian Version
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v13i1.48

The main purpose of this research is to test the determinant of investment locations in 26 provinces in Indonesia between 1993-2003 using dynamics method of panel. Factors affecting to investment locations in Indonesia are indicator of market size which is growth rate PDRB (X1), infrastructure indicator i.e. number of electricity capacity (X2), indicator spatial which is deensity (X3), indicator manpower that is labour force (X4) and wages/UMP (X5), and last of economic indicators that is export/ level of chartered investment counsel openness (X6). The result concludes that all variables applied in stationary research has at data level (I0), equally all variables have owned degree of the same integration. Result of testing of panel co integration with approach of parametric indicates that Group rho-Statistic to have coefficient 8432 while Group PP-Statistic has coefficient co integration of 9193. The coefficient co integration by using Group ADF-Statistic is 2540. Probability each testing method indicates that variable applied by co integrating at level of significance at 5%. From total 7 testing panel, got result that all research variable of co integrating or on a long term research variable has direction of the same movementKeywords: investments, panel dynamic, unit root panel, and cointegration panel

Determinants of Local Investment: Case Study in Provinces in Indonesia Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Volume 13 Issue 1, 2008: English Version
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v13i1.487

The main purpose of this research is to test the determinants of local investment in 26 provinces in Indonesia since 1993-2003 using dynamic panel method. Factors affecting local investment in Indonesia are market size indicator which is growth rate PDRB (X1), infrastructure indicator i.e. number of electricity capacity (X2), indicator spatial which is deensity (X3), indicator manpower that is labour force (X4) and wages/UMP (X5), and last of economic indicators that is export/ level of chartered investment counsel openness (X6). The result concludes that all variables applied in stationary research has at data level (I0), equally all variables have owned degree of the same integration. Result of panel test cointegration using parametric approach indicates that Group rho-Statistic coefficient is 8432 while Group PP-Statistic coefficient co integration is 9193. The coefficient co integration by using Group ADF-Statistic is 2540. Probability of each testing method indicates that variable applied by cointegrating at level of significance at 5%. From total 7 testing panel, got result that all research variable of co integrating or on a long term research variable has direction of the same movementKeywords: investments, panel dynamic, unit root panel, and cointegration panel

Pengeluaran Pemerintah dan Pertumbuhan Ekonomi Regional: Studi Kasus Data Panel di Indonesia Jamzani Sodik
Economic Journal of Emerging Markets Volume 12 Issue 1, 2007
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v12i1.516

The aim of this study is to examine the affect of government expenditure on regional economic growth by using the data of 26 provinces for periods of 1993-2003, and by applying GLS method (General Least Square) with panel data. Factors that affect the regional economic growth are private investment (Ip), government investment (Ig), government consumption (Cg), and labor force (L), we also identify other factors that can influence the regional economic growth. This variable is the rate openness economic provinces (X-M).The results found the regional economic growth for periods 1993-2003 is influenced by government investments (Ig), government consumption (Cg), labor force (L) and rate openness economic province (X-M). However, private investments (Ip) do not affect to regional economic growth. Keywords: private investments, government investments, government consumption, regional economic growth, and panel data

Pertumbuhan Ekonomi Regional : Studi Kasus Analisis Konvergensi Antar Propinsi di Indonesia Jamzani Sodik
Economic Journal of Emerging Markets Volume 11 Issue 1, 2006
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v11i1.570

This paper examines the determinants of regional economic growth in Indonesia, and test for convergence PDRB per capita 26 province the period 1993 to 2003, using GLS method (General Least Square) for process polling data. Factor that affect the regional economic growth are initial level of PDRB riil per capita(X1), health(X2), education(X3), density(X3), and economic indicator: foreign direct investments (X4), rate openness economic province (X5), and inflation rate (X6).The results found regional economic growth for periods 1993-2003 are influenced by density(X3), rate openness economic province (X5), and inflation rate (X6). However health(X2), and education(X3) not affect to regional economic growth.We find also evidence of absolute convergence and conditional convergence, however sigma ( ) convergence fluktuatif for periods 1993-2003.Keywords : regional economic growth, convergence, and panel data

Investasi dan Pertumbuhan Ekonomi Regional (Studi Kasus pada 26 Propinsi di Indonesia, Pra dan Pasca Otonomi Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Vol. 10 No. 2 (2005)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v10i2.599

The aim of this study is to examine the affect of investment on regional economic growth 26 province pre and pasca authonomy for periods of 1998-2003 using GLS method (General Least Square) for process polling data. Factor that affect the regional economic growth are foreign direct investments (X1), direct domestic investmens (X2), we also identify other factors (as controlled variables) that can influence the regional economic growth. These variables are labor force (X3), inflation rate (X4), and rate openness economic pro¬vince (X5).The results found regional economic growth for periods 1998-2003 are influenced by foreign direct investments (X1), labor force (X3), and rate openness economic pro¬vince (X5). However direct domestic investments (X2), and inflation rate (X4) do not affect to regional economic growth. But for periods 1998-2000 (pre authonomy) foreign direct in¬vestments (X1), and rate openness economic province (X5) affect to regional economic growth. Periods 2000-2003 (pasca authonomy) inflation rate (X4) and rate openness eco¬nomic province (X5) affect to regional economic growth.Keywords: investment, foreign direct investments, direct domestic investments, regional eco¬nomic growth, pre authonomy, pasca authonomy, and panel data.

EDUCATION AND REGIONAL ECONOMIC GROWTH IN CENTRAL JAVA Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Volume 3 Issue 2, 2011
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/vol3iss2aa2327

There has been a long debate on the relationship betwen investment on human resources and economic growth. This paper examines the affect of investment and three level of education, namely elementary school, junior high school, and senior high school, on regional economic growth in Central Java. It estimates a General Least Square on a pool data of 35 districts from 2004 to 2008. The results suggest that regional economic growth is influenced by investments and the growth of junior high school attainment. However the growth of senior high school attainment and growth of elementary school attainment do not affect regional economic growth.Keywords: Investment, education, regional economic growth, panel dataJEL classification numbers: O15, O43

Analytical Hierarchy Process Approach on Regional Product Competitiveness in Magelang, Central Java Didi Nuryadin; Jamzani Sodik
KINERJA Vol. 21 No. 1 (2017): KINERJA
Publisher : Faculty of Business and Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/kinerja.v21i1.1035

This study aims to identify and analyze the data and information to determine the local featured products through the aspects of value-added, market expansion and production technology. The location is the town of Magelang in which there are many small and medium industries with a wide range of their products. The analytical tools used include common analytical technique used to determine a featured product. They are scoring, value chain and Analytical Hierarchy Process (AHP). The result of the study shows that the main criteria for weighting the featured products are competitive advantage, stakeholders' acceptance and societal benefits. Through all three criteria, there are three main local featured products becoming the. They are getuk (the result of processed cassava), kerupuk tahu (tofu crackers) and ceriping ketela (cassava crackers). Furthermore, through a comparative analysis of the criteria, it can be concluded that the product getuk can be considered as the Regional Industry Core Competence based featured product from Magelang.Keywords: Analytical Hierarchy Proces, Regional Product, Competitiveness

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