Land Degradation and Landslide in Indonesia

Land degradation is one of the causes of lack of success of agricultural activities in Indonesia because of a decline in land productivity continuously and ultimately reduce the level of income / welfare of farmers. Land degradation can occur either on dry land or in wetlands, so prevention and / or rehabilitation of degraded land is very important that the agricultural area can be used on an ongoing basis. Land degradation is the loss or reduction of utility or potential use of land, loss of or changes in land features that are not hindered replaced. According to FAO (1993), soil degradation is a process that describes the phenomenon which lower the capacity of soil to support life. Land degradation is a process of decline of soil productivity, temporary or permanent, so that eventually the land can lead to a certain critical level (Dent, 1993). The process includes various forms of land degradation levels

Mapping of Spatial Distribution and Spatial Autocorrelation Patterns of Poverty in All Regencies/Cities in Indonesia

Abstract Poverty alleviation programs in Indonesia are the same and uniform in all regions. Of course this ignores the characteristics and causes of poverty that vary in each region. The uniformity of poverty alleviation programs affects the slow pace of decline in the poor population. Spatial influence on poverty can be identified by spatial autocorrelation; there is a relationship of poverty in one region with other regions that are closed together. This study was aimed to analyzing poverty spatial distribution in all regencies/cities in Indonesia; analyzing the spatial distribution patterns of poverty in all regencies/cities in Indonesia; and knowing local spatial autocorrelation of poverty in all regencies/cities in Indonesia. The research methods used are Moran Index analysis, Moran’s scatterplot analysis, and Local Indicators of Spatial Autocorrelation (LISA) analysis. The analysis results show that the highest average of poor population percentage was in Papua and the lowest one was in Kalimantan. The results of analysis of Moran Index showed that the spatial distribution pattern of poverty in regencies/cities in Indonesia was clustered, it was called by poverty pocket. Pockets of poverty that occured do not correspond to government administrative boundaries, therefore poverty alleviation needs an integrative approach.  In addition, this study also results that not all regencies/cities have significant spatial autocorrelation. This means that not all poverty conditions in a regencies/cities have a relationship with other regencies/cities. The fact that there are heterogeneity of poverty characteristics like this shows that poverty alleviation programs must vary in each regency/city.   Keywords: City, LISA, Moran, Povety, Regency, Spatial          &nbsp

Pengembangan Komoditas Manggis di Kabupaten Bogor berbasis Potensi Produksi, Ketersediaan dan Kesesuaian Lahan

Bogor Regency is one of the largest production areas of mangosteen in West Java. However, its mangosteen production fluctuated and tended to decline from 2016 to 2020 because of productive plant reduction. Meanwhile, this regency has a large area of non-productive land. The arrangement and development of new farms are required based on the potential of the existing ground. This study aimed to identify potential areas for mangosteen development based on harvesting area, production value, land availability, and suitability requirements. This research used the LQ, DLQ, Z-score, and geographic information system analysis using ArcGIS 10.8 based on overlay and limiting factors. Ranking regions are determined by the TOPSIS method. The results of the LQ-DLQ analysis explained that eight districts with superior and prospective categories existed. The results of the Z-score analysis show that the Klapanunggal and Babakan Madang sub-districts have lower productivity. At the same time, the types of land used for mangosteen are primarily dry land agriculture and production forests. Land suitability for mangosteen consists of land class S2 (quite suitable) with an area of 6,056.9 ha and class S3 (suitable marginal) with an area of 54,925 ha. The priority areas for developing mangosteen exports are Cigudeg, Leuwisadeng, Leuwiliang, Jasinga, Sukamakmur, Nanggung, Klapanunggal, and Babakan Madang. The western part of Bogor has more significant potential than the eastern one

Sebaran Dan Keragaman Spasial Faktor-Faktor Yang Mempengaruhi Kemiskinan Di Kabupaten Tegal (Distribusi Dan Faktor Penyebab Kemiskinan Di Kabupaten Tegal)

Poverty is one of the crucial social problems in Tegal Regency, Central Java Province. Specific solutions are needed in a particular area to effectively combat poverty. The purpose of this study is to identify the spatial distribution and pattern of poverty in Tegal Regency using Spatial Autocorrelation analysis (Moran’s Global Index & Local Indicator of Spatial Autocorrelation/LISA) and to determine the spatial diversity of factors that influence poverty in Tegal Regency using Geographically Weighted Regression analysis. The research results show the clustered spatial distribution and pattern of poverty in Tegal Regency, and there are various specific influences from each factor that affects poverty in each village/subdistrict in Tegal Regency. Keywords: Spatial Autocorrelations, Global Moran Index, LIS

Analisis Faktor-Faktor yang Mempengaruhi Urban Sprawl di Kawasan Cekungan Bandung

Bandung Metropolitan Area is the second largest metropolitan area in Indonesia. Bandung Metropolitan Area also represents the type of metropolitan in Asia which has massive urbanization characteristic that caused by increasing economic growth. This research aims to analyze the spatial diversity of the factors influencing urban sprawl in Bandung Metropolitan Area. The data used in this study were secondary data consisting of Landsat satellite imagery and facilities data obtained from the Central Statistics Agency (BPS) in the year of 2003 and 2014. The methodology used in this study was Geograpically Weighted Regression (GWR) analysis. The results showed that each variables has a different influence on each locations. Population density variable has a positive effect on the percentage of built up area. Whereas the variable of distance to Bandung City, the percentage of paddy field area, the percentage of forest area, and the distance to the toll road has a negative effect on the percentage of built up area. While the effect of the District Development Index variable toward the percentage of built up area varies in each research location

Analisis Urban Sprawl sebagai Rekomendasi Pengendalian Pemanfaatan Ruang untuk Pengembangan Lahan Pertanian di Kabupaten Karawang: Urban Sprawl Analysis as a Recommendation of Spatial Utilization Control for Agricultural Land Development in Karawang Regency

The increasing conversion of agricultural land to non-agricultural land is the central issue in Karawang Regency. It is caused by the increasing population, urbanization, industrialization, urban expansion, and its position in the Jakarta Bandung Mega Urban Region (JBMUR) corridor. The increasing need for space in urban areas encourages the development to the city’s outskirts (urban sprawl). Urban sprawl is the biggest challenge in Karawang Regency’s spatial planning. The purpose of this study is to identify the spatial pattern of urban sprawl conditions formed from 2009 until 2018 and projecting urban sprawl in 2018 until 2031 as a recommendation for controlling space use for agricultural land development. The method used is urban sprawl analysis with related research, Moran index autocorrelation analysis and Local Indicator of Spatial Association (LISA), analysis of land use alignment and spatial patterns of spatial plan, and overlays. The results of this study indicate that the spatial distribution of urban sprawl occurs along the Cikampek, Telukjambe Barat, Telukjambe Timur, Pangkalan, and Tegalwaru toll roads. The urban sprawl that occurred in 2009 until 2018 has the type of leapfrog development. There was a change to the kind of urban sprawl to kind of ribbon development and an increase in the urban sprawl of 67.14 km2 in the projected urban sprawl in 2018 until 2031. Land use with conformity is much broader than land use that is not aligned with spatial planning. Therefore, first priority recommendation for agricultural land development still dominates in Karawang Regency

Pola Sebaran Permukiman Kumuh di Kabupaten Tangerang dan Keragaman Spasial Faktor yang Mempengaruhinya: Distribution Pattern of Slums in Tangerang Regency and Spatial Diversity Factors that Affect

Rapid development and high population density are among the factors that cause slum settlements Tangerang Regency. Factors that cause slum settlements in Tangerang Regency have not been identified specifically and the handling of slum settlements are still seen to be uniform between regions. The purpose of this research is to identify the pattern of distribution of slum settlements in Tangerang Regency and the spatial diversity of factors that influence it. Methods used to identify the distribution pattern of slums are Moran's Index, Moran's Scatterplot, and Local Indicator Spatial Autocorrelation. Meanwhile, to understand the spatial diversity of the factors that affect slum settlements, multiple regression analysis was performed using forward stepwise regression, followed by Geographically Weighted Regression (GWR) analysis. Results shows that the pattern of spatial distribution of slum settlements in 2016 and 2018 was concentrated in the northern and southern areas of Tangerang Regency. The distribution pattern of slums shows a centered movement towards the district border with the surrounding areas, namely DKI Jakarta, Tangerang City, and South Tangerang City. The relationship between the Village Development Index and the Land Value Zone has a fairly weak positive correlation, the relationship between the Kelurahan Development Index and the percentage of slum area does not have a significant correlation, while the Land Value Zone with the percentage of slum area has a weak positive correlation. Slum settlements in Tangerang Regency are influenced by physical and non-physical factors including the number of slum location points, the percentage of residential buildings that do not have a building permit, and the percentage of areas affected by inundation. The results of the GWR analysis show that each factor that has a significant influence on slum settlements in Tangerang Regency has a different influence locally in each observed area

Keragaman Spasial Faktor-faktor Penentu Harga Jual Rumah di Kota Depok

Pembangunan kawasan perumahan menjadi primadona di Kota Depok mengingat letaknya yang strategis sebagai kota satelit Jakarta dengan fasilitas yang relatif memadai. Sebagai dampaknya, terjadi lonjakan penduduk yang terus meningkat. Hal ini kemudian berujung pada peningkatan harga jual rumah yang tidak terkendali dengan wajar. Penelitian ini bertujuan untuk mengungkap faktor-faktor penentu harga jual rumah dan memberikan arahan spasial terkait pengendalian harga jual rumah di Kota Depok. Metode regresi Ordinary Least Square (OLS) dan Geographically Weighted Regression (GWR) digunakan untuk menjawab tujuan tersebut. Hasil analisis regresi OLS mengungkapkan bahwa dimensi struktural dan atribut lokasi fasilitas memberikan pengaruh yang signifikan terhadap penentuan harga jual rumah. Selain itu, hasil analisis GWR mengungkapkan bahwa atribut lokasi fasilitas berupa jarak ke Central Business District (CBD) Jakarta dinilai dapat berperan efektif sebagai instrumen pengendali harga jual rumah demi pemanfaatan ruang berkelanjutan di Kota Depok

THE DYNAMICS OF LAND COVER CHANGE AND LEVEL OF SUSTAINABILITY DEVELOPMENT IN DEPOK CITY

The massive development of Depok City has had an impact on improving the economic level but has also caused a decline in environmental sustainability and quality. This research aims to determine trends in land cover change and predictions for the future as well as the level of sustainability of development in Depok City. Land cover change trends in Depok City were carried out using the overlay method in ArcGIS software using land cover data for 2000, 2009, and 2019. Land cover changes were predicted until 2039 using the Land Change Modeler (LCM) analysis method with a business-as-usual scenario (BAU). Meanwhile, sustainability status is analyzed using the Rapfish Multidimensional Scaling (MDS) method using data/attributes from economic, social, and environmental dimensions. The research results show that changes in land cover in Depok City from 2000 - 2019 were dominated by agriculture to residential areas. Some open land is expected to experience a significant decline by 2039, while residential areas will continue to increase. The results of the MDS Rapfish analysis show that sub-districts in Depok City have different sustainability statuses, both in economic, social, and environmental dimensions