Crime Modeling using Spatial Regression Approach

Ahmar, Ansari Saleh; Adiatma,; Aidid, Muhammad Kasim

doi:10.1088/1742-6596/954/1/012013

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…(1) at α = 5%. According to [8] and [15], this indicates the significance of spatial dependence of minimum wage in East Java. Therefore, the next step is to build SAR and SEM regression model.…”

Section: Resultsmentioning

confidence: 95%

“…  Several assumptions are ideally not violated [8], that is: 1. There was no multicollinearity or dependency, which was statistically significant between the predictors.…”

Section: Carrying Out Classical Regressionmentioning

confidence: 99%

“…Modeling with spatial regression, among others, is applied in criminology cases [8], human resources quality [9], even pollution [10]. Most study found that the spatial model can correct and improve the accuracy of classical linear regression modeling.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Regression Models on Factors Influencing Regional Minimum Wages

Putera

2020

Numerical: J.Mat and Pend.Mat

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Regional minimum wages might well represent the economic development of a region. The most likely spotlight province regarding the wage determination issue is East Java. This work is intended to obtain the best regression model on factors influencing East Java's regencies/cities' minimum wages in terms of spatial approach. The methods are Spatial Autoregressive (SAR) and Spatial Error Model (SEM). This study aims to obtain the best spatial model based on the factors influencing the regional minimum wage in districts/cities in East Java and the mapping. The data source is secondary data from Statistics Indonesia (BPS) of East Java. It consists of several variables, namely the Regional Minimum Wage, Total Working Population, Gross Regional Domestic Product, Total Population, and percentage of Population with a minimum education of senior high school. It shows that two significant factors are the number of working civilians and the percentage of high school-college graduates, affecting regional minimum wages. It proves that minimum wages among regions in East Java are spatially correlated with a closed area. Spatial regressions are the better ones than classic ones since they have higher R-sq and satisfy assumptions. Meanwhile, the selected model is SAR rather than SEM as it has a smaller AIC and explains variation better in minimum regional wages. It is indicated that some regions need more care due to small regional wages.

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Section: Resultsmentioning

confidence: 95%

“…  Several assumptions are ideally not violated [8], that is: 1. There was no multicollinearity or dependency, which was statistically significant between the predictors.…”

Section: Carrying Out Classical Regressionmentioning

confidence: 99%

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Spatial Regression Models on Factors Influencing Regional Minimum Wages

Putera

2020

Numerical: J.Mat and Pend.Mat

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“…Table 1 shows the boundaries of the segments and the extent of the segment region. The spatial analysis [23], [24] was conducted on the land cover parameters (weight 30%), vegetation (20% weight), flooding (20% weight), and the land use (30% weight). While the other parameters are not analyzed spatially because the criteria obtained generally show the similarity criteria, such as rainfall.…”

Section: Methodsmentioning

confidence: 99%

Kampung Pulo Environmental Planning Observed from Biophysical Aspects as Adaptation of Flood in Jakarta

Sari¹,

Sugiana²,

Ramadhonah³

et al. 2018

IJET

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Urbanization triggers an increase in urban land conversion. Along with the increasing population and the increasing needs of the shelter, people tend to use the remaining space such as riverbanks and river bodies which are not intended for residential buildings. This has a negative impact on the environmental and river ecosystems, as well as causing the changes in the function of rivers in urban areas, one of it is Ciliwung River which runs through Kampung Pulo. The government seeks to deal with the environmental damage on the riverbank through a revitalization program. This research was conducted to find out the impact of revitalization process by observing biophysical condition of river before and after eviction of people that live in the Ciliwung riverbank and provide a landscape plan of Kampung Pulo segment. Using secondary data of rainfall, land use, land cover and flooded area. The mapping with ArcGIS 10.1 shows there decrease in the area of flood puddle in Kampung Pulo.

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