• Energy Research

Gender Development Index (GDI) is the index introduced by UNDP to measure the quality of human resources with respect of gender aspect. The objective of this research is to identify the influence of health, education, and economy to the women as well its distribution to map the areas prioritized for gender inequality alleviation. The methodology of this research employs quantitative descriptive analysis, spatial comparative analysis, and temporal comparative analysis. The result shows that the gender equality achieved by Central Kalimantan was GDI far below the national average, hence there needs to be efforts to push gender equality in main priority districts, such as Katingan, Murung Raya, and Barito Utara. The influence of health factor, represented by Life Expectancy Rate is more significant compared to other factors such as education and economy. The raise of total health facilities impact to the decreased of women mortality rate as the key for good women contribute into Gender Development Index.

Abstract Development is a strategy to improve the welfare and quality of life. UNDP concept explained that economic and human development has interrelated relation. Meanwhile, economic development in a region often face inequality and may cause another impact to disparity on human development. This study has the objective to measure and explain the inequality on economic development and understanding its spatial-temporal correlation with human development by the time 2011-2015. The methods that use in this study are Williamson Index (WI), Location Quotient (LQ), Klassen Typology, and Pearson Correlation. The result shows there is inequality on economic development with WI 0.95 in 2011 and decreased in 2015 with WI 0.77. Inequality on economic development influenced by the different economic structure within regencies/municipals. In the context of temporal and spatial data, economic development has a strong correlation with human development in province level and regency level. The government should improve economics, health, and education infrastructure in allregion as an attempt to realize the equality and sustainability development in Banten Province.

Infrastructure plays an important role in the tourism sector as a provider of facilities to provide facilities to tourist sites. The study area is in the Donorejo village, Central Java. Donorejo village has one of the most famous caves in Central Java, namely Goa Seplawan. The study was conducted with in-depth interviews with local residents and tourist visitors, as well as measurements and direct examination of the paths that are on site. Quality assessment of road conditions is carried out qualitatively. The assessment is based on the experience and standardization of each respondent which is then re-matched with the results of the study at the location and the Road Condition Index Matrix (RCI). There are three main paths to Seplawan Cave, namely through Hamlet Rejosari, Denansri, and Katerban. The main road passes through Hamlet Rejosari in good condition, but very steep. On the other hand, Denansri and Katerban hamlets have poor conditions. Road improvements have increasing the number of visitors to Goa Seplawan. In 2018 there were 9, 889 and in 2019 became 13, 882. This number shows that road construction has an impact on increasing the number of visitors at tourism sites in the Donorejo village.

Abstract Landuse change is a serious phenomenon which faced by some of the suburban areas. Sleman Regency is one of regencies that is located in suburban area or outskirts of Special Region of Yogyakarta. The imbalanced between the need or the demand and the availability of land in Special Region of Yogyakarta, trigger a city expansion to the surrounding areas, especially in Sleman Regency. The purpose of this research is to study and to examine the impact of landuse change towards to the paddy productivity in Sleman Regency. The landuse analysis was performed by comparing the RBI map of Sleman Regency in 2007 and the RBI map of Sleman Regency in 2017. The result of the research showed us that during 2007-2017 period, the decreasing areas were fields by 0.93%, shrubs by 0.12%, and rice fields by 47.5%. Landuse that experienced increase in area were buildings by 2.89%, plantations by 12.62%, and settlements by 34.26%. The decreasing area of paddy fields did not significantly reduce the productivity of the rice. Rice production from 2007-2017 period is stable and tends to be increase. That is because the area of harvested land from 2007-2017 has also increase due to the agriculture diverification program in Sleman Regency. This research shows us the projection of paddy productivity until 10 years later from 2017.

Abstract Gross Domestic Product (GDP) is one of the important factors to determine the economic conditions of an area in a certain period. This study uses GDP according to the business field based on constant prices in 2010. The purpose of this study, first is to determine trends of GDP and the percentage of the poverty population. Second, is to find out the relationship between GDP to poverty in East Kalimantan. The method used in this study is spatial method to find out the distribution and temporal trends. For determine the relationship, this research used simple regression calculations. The results of the study show that: (1) From 2013 to 2017 the tendency of GDP in East Kalimantan Province was increasing and the most dominant GDP contributor sector was the mining sector. (2) The trend in the percentage of the poverty population in East Kalimantan Province from 2013 to 2017 is fluctuating. (3) Simple regression calculations indicate that there is a relationship between GDP and poverty in Bontang City, Kutai Barat Regency, and Penajam Paser Utara Regency.

Abstract Landuse change in Jakarta Province is one of the popular issue due to urban problems. As a capital city, Jakarta has small agriculture area and large non agriculture area. The objectives of this study are to know the landuse change trend, to know the types of landuse that change overtime, and to know the factors that cause landuse change specifically in socio- demographic condition in Jakarta. This study used secondary data from Badan Pusat Statistik or Statistic Board Center of Jakarta to derive population and landuse data. The analysis of this study used a spatial approach and by calculating land resources balancing. From this study, we find that landuse change was increased in Jakarta overtime, especially in foods crops, horticulture, and forestry area, which vary over the districts. Major socio-demographic factors that cause landuse change is high population density in Jakarta.

Jakarta is located in the North West area of West Java Province which geographically positioned on 106°33'00"-107°00'00"BT and 5°48'30"-6°24'00"LS. Land subsidence has occured in several types of landuse such as trade, industrial and settlement area of the urban area of Jakarta. The land subsidence disaster is one of the consequences of building and road construction in Jakarta. This is caused by massive groundwater utilization and failure in landuse planning. This study aim to analyze the population density and settlement pattern in the urban area of Jakarta which the occurence of land subsidence has been detected. It is important to understand landuse and settlement planning processes in the area which land subsidence occured. Detection of land subsidence distribution become a necessary parameter in landuse planning. While the land subsidence area detected using Differential Synthetic Aperture Radar (DInSAR) method. The result shows the area which land subsidence occured has a very high population density and clustered and linear settlement pattern. This area is mainly used as industrial, trade, and settlement.

The population of Jakarta Special Province continues to grow, most significantly after the 1960s, causing an increase of population density. The expanding population has been stimulating the development of the province, reflecting the rising demand of the population including land. Eventually, it influences the urbanization process and affects the dynamic of land utilization in Jakarta. This research is aimed to understand the correlation between urbanization phenomena and landuse change in Jakarta Special Province. The research implements the utilization of statistics, topographic map, and remote sensing data as well. The satellite image (Sentinel-2 Imagery) was used to determine urban area and non urban area which then describes the land urbanization level. During 3 years, Jakarta has experienced landuse change especially in residential area, green open space, and industrial area. In 2017, the urban area covered 76.89 percent of Jakarta’s land and the coverage increased into 78.35 percent in 2019. Land urbanization level raised from 77.16 percent into 78.03 percent which means that roughly 77 percent to 78 percent of land in Jakarta has been urbanized.