Among various issues on regional development planning in Indonesia, the vast coverage area and its regional diversity become one of main challenges. Regionalization is one of spatial techniques that can be used to facilitate regional development planning process. This study aims to analyze regionalization of Indonesia with a focus on Java Island by highlighting the main contemporary issues including poverty, COVID-19 pandemic, and gender. This paper draws the conditions of poverty, the cases of the COVID-19 pandemic and the needs of gender-based development in 119 regencies/cities on the island of Java using spatial distribution analysis. The results of the analysis show that the distribution of the percentage of the poor and the poverty line in Java forms a clustered pattern. This also happened in the case of COVID-19 where the high concentration of cases was around DKI Jakarta and DI Yogyakarta. As for the gender aspect, there is a tendency for a scattered pattern for the value of the gender development index, although there are some areas with high values (H-H quadrant) and low values (L-L quadrant). In general, the use of regional analysis may facilitate the identification of spatial phenomena, their distribution and the patterns formed, therefore it can be used for determining suitable regional policies.Keywords: Java Island, Regionalization, Poverty, COVID-19 Pandemic, Gender
The provision of public service facilities in settlement and regional environments is the right of the community to support a decent life and livelihood also to improve the quality of life. Therefore, the availability of health facilities must be considered so that every Indonesian can obtain their right to health services. This study aims to analyze the availability of health service facilities and the service function of health facilities in Yogyakarta Special Province. As a differentiator with previous research, the researcher conducted a analyze comprehensively by combining analysis of the centrality index and the service function to determine the hierarchy of health service centers. The location of this research is in the Yogyakarta Special Province with the smallest area analysis unit is the sub-district. The results showed that the availability of low order goods health service facilities was generally fulfilled in all sub-districts of Yogyakarta Special Province. Cities are still areas of high concentration of health services, this is reinforced by the highest centrality index and hierarchy of health facilities in Yogyakarta City.
Green Open Spaces (GOS) have a variety of ecosystem services which can be utilized by society. This study aims to identify criteria for determining ecosystem services in GOS, to study the conditions and distributions of potential ecosystem services in the Urban Area of Yogyakarta (UAY)'s GOS, and optimize the existing ecosystem services in GOS. The research's locations include GOS in UAY consisting of urban forests, city parks, riverbanks, and greenbelts, for a total of twelve research locations. The identification of the criteria for GOS was accomplished with the expert opinion and comparative methods resulting in weight values. The field data and expert assessments were analyzed through a scoring analysis to quantify the level of ecosystem services in each research location. This data was further analyzed by examining the area allotments within the existing regulatory framework to the determine the conditions of GOS with optimal ecosystem services. The results of the study show that each of the sixteen examined criteria plays a role in ecosystem services. The values of ecosystem services of GOS in UAY show different values for each type of GOS. In general, the ecosystem services in urban forests are rated favourably in each category, while city parks and riverbanks moderate ratings, and greenbelts have the lowest average performance of any GOS. Based on the results, optimizing ecosystem services in UAY's GOS can be accomplished by strengthening their performance in each criterion with the most attention paid to each GOS's allotment type.
This study aims to identify the dynamics of regional development and find a new growth center in Kulonprogo Regency which is based on rural areas. By using a quantitative analysis of regional development indicators, the results showed that out of 88 villages in Kulonprogo Regency, 19.4% had high and very high potential for regional development, supported by the availability of facilities and infrastructure, and also a high and very high centrality value, around 21.6%. These villages have the potential to be an embryo growth center with potential criteria high (17%) and very high (6.8%). The Chi-Square test and Pearson correlation show a close relationship between the factors that form the center of growth, such as population density and growth, level of regional development, availability of infrastructure, and the value of centrality. Four main urban centers (PUP) were selected, namely the villages of Pengasih, Wates, Giripeni, and Bendungan. The Center for Alternative Growth (PPA), namely Brosot, Sentolo, Jati Srono, Gerbosari villages. The rest will support the Alternative Growth Center, Airport Area, Aerocity, and rural hinterlands.Keywords: Regional development level, Growth center, Rural
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