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Journal : Forum Geografi

Modelling of Community Recovery Level of Flood-Prone Area in Surakarta Rita Noviani; Pipit Wijayanti; Yasin Yusup
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5082

Abstract

This study aimed to develop community resilience velocity model after the disaster. The study is a descriptive analysis using household survey of the flood victims. Total sample of 100 households in ten villages on the banks of the Bengawan Solo River, and is an area prone to flooding. Processing for data is using descriptive statistical analysis, correlation and regression, analysis of variance and factor analysis. There is a close relationship between the power recovered by a factor of assets, knowledge and long flood events. The two main factors affecting the dominant public resilience is a characteristic of a society of social assets, knowledge and natural assets. The second factor is the economic and financial factors, and long floods. The Resulted model level resilience from the research is Y = 0.012 X1 + 0.118 X2 + 0.394 X3 + 0.079 X4 + 0.040 X5-.002 X6. which; Y is Power Restored (speed), Ownership Financial Assets (X1), Ownership of Assets Economics (X2 ), Natural Asset Ownership (X3), Social Asset Ownership (X4), Lama flooding (days) (X5), and Knowledge (X6). Further optimization of the acceleration of flood resilience of households to do with strengthening the ownership of assets, improving the capacity of communities and reduce the threat of flooding and duration of.
Kinerja Perekonomian Kawasan Andalan Joglosemar Tahun 1996-2006 Rita Noviani
Forum Geografi Vol 24, No 2 (2010): December 2010
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v24i2.5022

Abstract

This research of prime mover region in Joglosemar consists of 5 regencies and cities in DIY province and 16 regencies and cities in Central Java Province. Those twenty-one regencies are split into four clusters, the Jogja Cluster, Solo Cluster, Semarang Cluster and Corridor Cluster. The objective of this research is to know regional economic performance by looking at the regional division using Klassen’s typology. Main method of this research is case study, the data that was used are secondary data for 10 years in the form of the Gross Regional Domestic Product at Constant Prices 2000, Economic sectors, PDRB per capita and Population Data which was acquired from Kantor Badan Pusat Statistik (The Central Statistical Agency) and BAPPEDA (Regional Planning Board) DIY and Central Java. Data processing techniques are qualitative, descriptive and quantitative analysis. The quantitative technique is Klassen’s typology to know the performance of regional economy, and the qualitative techniques are used to know the true meaning behind the data by a deep interview. According to Klassen’s typology analysis, there are 4 spatial classes of regional economy; namely high growth and high income, high income but low growth, high growth but low income, and low growth and low income. So that the regional function as a prime mover can give a positive effect towards the development of surrounding area.