Optimizing Land Use in Lumajang Regency

Land use in Lumajang Regency is dominated by agricultural land. However, over time there was a conversion of agricultural land into residential land as a result of an increase in population. The purpose of this study was to determine the pattern and area of optimal land-use allocation increase economic value in Lumajang Regency. The method used in this study was linear programming with the simplex method. The maximum farming income obtained from optimizing land use is Rp710,306,800,000.00. The optimal land-use area for paddy fields is 42,686.71 ha, the protected forest is 12,652 ha, and residential land is 18,284 ha. The optimal proportion of land use is 58% rice fields, 17% protected forests, and 25% settlements. The optimal paddy field area has decreased by 6,003.26 ha from the land area in 2018 because there are paddy fields that do not match their characteristics. The largest area of rice field reduction in Candipuro District is 2,138.51 ha. Meanwhile, the direction for the allocation of residential land has increased settlement land from 2018 with an area of 1,114.1 ha. The development of residential land is allocated to land that has been planned for settlement in the Spatial Planning (RTRW), potential land that has a slope value of 0 - 25%, and areas with low population density. The largest additional area of residential land in Pronojiwo District is 300 ha.

Estimation Method of the Consolidation Potential of Rural Residential Land considering Farmers’ Willingness

The work of rural residential land consolidation is related to several aspects, such as optimization of the structure of rural layout and improvement of the ecological environment in rural areas. Therefore, the work of rural residential land consolidation must be carried out rationally and effectively on the basis of scientific estimation of the real potential of rural residential land consolidation. However, according to the existing estimation method of the consolidation potential of rural residential land, it ignores the willingness of farmers who are closely related to it and cannot meet the current requirements of rural residential consolidation. Under the background of rural revitalization and based on the new requirements of standardizing rural land improvement work, this study organically combines rural residential land consolidation and the protection of farmers’ land rights and interest from the perspective of farmers’ wishes. The research uses a multimethod integrated approach (the per-capita construction land standard method, per-household construction land standard method, and town system planning method) to measure theoretical potential of the rural residential land consolidation and constructs a correction index system in two dimensions: natural conditions and economic feasibility. And then, this study further optimizes the correction index system from the perspective of farmers’ willingness. Finally, the feasibility of the estimation method is verified by a case. The research will initiate new ideas for estimating land consolidation potential in residential areas and provide references for the work and the special plan of rural residential land consolidation in various localities.

Analisis Kondisi Lingkungan pada Kejadian Leptospirosis di Kabupaten Banyumas dengan Pendekatan Spasial

Leptospirosis is still becoming a public health problem in Indonesia. Banyumas was oneof the highest cases in Central Java by 2019 so it could be potentially endemic. GIS (GeographicInformation System) is used to determine spatial patt erns related to the environment. This researchaimed to know the distribution and spatial grouping of leptospirosis in Banyumas 2019. The type ofthis research is an observational study with a cross-sectional spatial analysis design to observe thespreading and grouping patt ern. The subjects of this study were 140 leptospirosis cases in Banyumas2019. House coordinate was collected by using GPS (Global Positioning System). The data collectionis done for a month. Data Analyzes was performed through ArcGIS 10.2, and SaTScan 9.7. Thedistribution of leptospirosis in Banyumas was spread over 14 districts, 45% cases in Cilongok, 25,71%cases were >56 years old, 62,1% cases were male, 40% cases were farmers. The results of the spatialanalysis showed 77.14% cases in residential land use areas, 70% cases with moderate populationdensity (5.00-1.249 people/km²), 62.85% cases in 0-199 altitude, 63.57% cases with low rainfall 500meters, and signifi cant grouping patt ern with p-value = 0.009 primary which is located in Cilongokand Ajibarang. Leptospirosis spread over in residential land use areas, moderate population density,low altitude, low rainfall, no history of fl ooding, a radius of river 500 meters, and occurs clusteringin Cilongok and Ajibarang. The location intervention of leptospirosis prevention and control can beprioritized in these areas.

Does Immigration Depreciate Residential Land Prices? Case of Tokyo

This study investigates the effects of immigration on residential land prices in urban Tokyo. A rapid increase in immigrants in Tokyo raises the concern that immigration may depreciate land prices because of the negative image emerging from the perception that some immigrants might create disharmony in society. However, our analysis denies this possibility; for every 1% increase in immigrant ratio (i.e., the proportion of immigrants in the total population), the residential land prices increase by 12%. Although the literature explains that a negative immigration effect occurs when the analysis uses small geographic units, the results suggest that even a positive effect can occur under small geographic units. The implications of the current results are complicated. While the concern of immigration-induced land price depreciation is unfounded, this raises another concern—that of asset inequality between land owners and tenants.

ANALISIS DAYA DUKUNG DAN DAYA TAMPUNG LAHAN PERMUKIMAN KOTA DENPASAR

Denpasar City is the capital city of Bali Province which has a rapid population growth rate every year. Along with the rapid population growth, this has an impact on meeting the needs of housing and other regional service facilities. The increasing number of population automatically causes an increase in the need for housing. Analysis of residential land supporting capacity and supply capability needed to preserve the environment. This research was conducted with a quantitative approach which describes and describes the results in the form of numbers or nominal values by explaining clearly either with the help of pictures, tables, or graphs. The quantitative data described are the population, land area and land capability area to support and accommodate housing as a place to live in Denpasar City. Based on the results of the analysis using the overlapping method and scoring using a GIS application. Denpasar City potential land to be developed as a residential area after being adjusted to the settlement plan in the Denpasar City Spatial Plan is available for 454,73 hectares of the total area of Denpasar City of 12,521 hectares or about 3.63% of land in Denpasar city. The capacity of Denpasar City houses is able to accommodate around 44.736 housing units and 178.943 residents. There are 2 sub-districts that are not able to accommodate the population in 2030, namely South Denpasar and North Denpasar. However, cumulatively, Denpasar City is still able to accommodate population growth in 2030 in obtaining residential land. Keywords: Supporting Capacity and Supply Capability; Residential Land; Denpasar City.

Reconstruction of Residential Land Cover and Spatial Analysis of Population in Bursa Region (Turkey) in the Mid-Nineteenth Century

The historic reconstruction of residential land cover is of significance to uncover the human-environment relationship and its changing dynamics. Taking into account the historical census data and cadastral maps of seven villages, this study generated residential land cover maps for the Bursa Region in the 1850s using a model based on natural constraints, land zoning, socio-economic factors and residential suitability. Two different historical reconstructions were generated; one based on a high density residential model and another based on a low density model. The simulated landcover information was used as an ancillary data to redistribute aggregated census counts to fine scale raster cells. Two different statistical models were developed; one based on probability maps and the other applying regression models including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models. The regression models were validated with historical census data of the 1840s. From regression models, socio-economic and physical characteristics, accessibility and natural amenities showed significant impacts on the distribution of population. Model validation analysis revealed that GWR is more accurate than OLS models. The generated residential land cover and gridded population datasets can provide a basis for the historical study of population and land use.