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All Journal Forum Geografi International Journal for Disaster and Development Interface
Choirul Amin
Faculty of Geography, Universitas Muhammadiyah Surakarta
Earth & Planetary Sciences Education Environmental Science Social Sciences

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Spatial Correlation Study of Covid-19 Incidents with Unemployment Rates in East Java Province Nicken Ayu Andhika Mayangsari; Choirul Amin
International Journal for Disaster and Development Interface Vol. 3 No. 1 (2023): April 2023
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v3i1.43

Abstract

The COVID-19 outbreak has hit many countries in the world, including Indonesia. The impact isextraordinary for the state order, one of which is in the economic sector. Starting from the problem ofthe economic crisis, so that in Indonesia there were also massive layof s as a result of the covid-19pandemic in which 90% of workers were laid of and 10% of workers were laid of . So this triggers anincrease in the unemployment rate in Indonesia. East Java Province also experienced an increase inthe unemployment rate in 2020. This study aims to analyze the spatial pattern of covid-19 andunemployment, as well as analyze the spatial correlation of covid-19 with unemployment in East JavaProvince using Moran Index analysis in the form of Univariate Moran's I and Bivariate Moran's I.The results of the analysis show that the spatial pattern of Covid-19 and unemployment in East JavaProvince are clustered. The results of the spatial correlation of covid-19 with unemployment show apositive value, which means that there is a spatial correlation between covid-19 and unemployment inthe city/regency of East Java Province. Where cities/districts that have a high number of COVID-19are surrounded by cities/districts with a high number of unemployed.
Exploring Typology of Residents Staying in Disaster-Prone Areas: A Case Study in Tambak Lorok, Semarang, Indonesia Choirul Amin; S Sukamdi; R Rijanta
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5817

Abstract

Studies about population immobility, especially immobility associated with climate change-related disaster, are very limited. As a consequence, the explanation of population immobility in disaster prone areas is still blurred. This study contributes in explaining population immobility by exploring the typology of residents who did not move from disaster-prone areas. The survey was conducted towards the residents of Kampung Tambak Lorok Semarang, which is prone to three disasters simultaneously i.e. sea level rise, land subsidence, and tidal inundation. The study sample was 235 heads of households selected using proportional sampling area technique. Data were collected using a questionnaire consisting of two parts: (1) demographic, social, and economic characteristics of people who did not move from disaster prone areas; and (2) staying intention in disaster prone areas. Data analysis used descriptive analysis by using table and graph of respondent characteristic and relation between respondent characteristic and staying intention in research area. Three (3) typologies have been identified, namely: Type-1 are residents who wishes to stay; Type-2 are residents who still have not decided whether to stay or move; and Type-3 are residents who do not want to stay/want to move. Each of these typologies is described by place of birth, age, length of stay, education, occupation, and income. The understanding of the typology of residents living in disaster prone areas is important as inputs for policy-makers, especially regarding the relocation of people from disaster prone areas to be effective. The results of this study also contribute empirical evidence to the migration theory debate at the micro level, namely that the staying intention is a key element in the 'black box' of immobile decision-making from disaster prone areas.
Co-Authors Nicken Ayu Andhika Mayangsari R. Rijanta Sukamdi