MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR
Criminal acts are actions that violate the law and can arise from various factors such as emotions, psychological pressure, and others. Crime rate is a number that indicate the level of crime vulnerability in a certain area at a certain time. Higher crime rates correspond to increased vulnerability...
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Universitas Pattimura
2024-05-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12133 |
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| author | Muhammad Althof Juniar Azzahra Fania Diana Ulya Rico Ramadhan Nur Chamidah |
| author_facet | Muhammad Althof Juniar Azzahra Fania Diana Ulya Rico Ramadhan Nur Chamidah |
| author_sort | Muhammad Althof Juniar |
| collection | DOAJ |
| description | Criminal acts are actions that violate the law and can arise from various factors such as emotions, psychological pressure, and others. Crime rate is a number that indicate the level of crime vulnerability in a certain area at a certain time. Higher crime rates correspond to increased vulnerability in an area, and vice versa. Among various forms of criminal acts, the number of criminal acts and narcotics crimes in Indonesia tends to increase in 2020 and 2021. The aim of the research is to identify the characteristics of crime rate data based on the number of decency and narcotics incidents in Indonesia using a nonparametric regression approach. This research uses a nonparametric regression method spline truncated and linear regression as comparison. It was found that West Papua Province has the highest crime rate, based on a comparison between linear regression model and truncated spline nonparametric regression model, it can be concluded that the best model is the truncated spline nonparametric regression model with a Generalized Cross Validation (GCV) of 2468.487 and a coefficient of determination of 0 .7389091, indicating that approximately 73% of the variability of the dependent variable can be explained by the independent variables included in the model. |
| format | Article |
| id | doaj-art-1d785bb2a0b0482891af8ac4f24258f0 |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-1d785bb2a0b0482891af8ac4f24258f02025-08-20T04:00:48ZengUniversitas PattimuraBarekeng1978-72272615-30172024-05-011821201121610.30598/barekengvol18iss2pp1201-121612133MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATORMuhammad Althof Juniar0Azzahra Fania1Diana Ulya2Rico Ramadhan3Nur Chamidah4Statistics Study Program, Faculty Science and Technology, Airlangga University, IndonesiaStatistics Study Program, Faculty Science and Technology, Airlangga University, IndonesiaStatistics Study Program, Faculty Science and Technology, Airlangga University, IndonesiaStatistics Study Program, Faculty Science and Technology, Airlangga University, IndonesiaDepartment of Mathematics, Faculty Science and Technology, Airlangga University, IndonesiaCriminal acts are actions that violate the law and can arise from various factors such as emotions, psychological pressure, and others. Crime rate is a number that indicate the level of crime vulnerability in a certain area at a certain time. Higher crime rates correspond to increased vulnerability in an area, and vice versa. Among various forms of criminal acts, the number of criminal acts and narcotics crimes in Indonesia tends to increase in 2020 and 2021. The aim of the research is to identify the characteristics of crime rate data based on the number of decency and narcotics incidents in Indonesia using a nonparametric regression approach. This research uses a nonparametric regression method spline truncated and linear regression as comparison. It was found that West Papua Province has the highest crime rate, based on a comparison between linear regression model and truncated spline nonparametric regression model, it can be concluded that the best model is the truncated spline nonparametric regression model with a Generalized Cross Validation (GCV) of 2468.487 and a coefficient of determination of 0 .7389091, indicating that approximately 73% of the variability of the dependent variable can be explained by the independent variables included in the model.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12133crime rateestimator spline truncateddecencynarcotics |
| spellingShingle | Muhammad Althof Juniar Azzahra Fania Diana Ulya Rico Ramadhan Nur Chamidah MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR Barekeng crime rate estimator spline truncated decency narcotics |
| title | MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR |
| title_full | MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR |
| title_fullStr | MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR |
| title_full_unstemmed | MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR |
| title_short | MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR |
| title_sort | modelling crime rates in indonesia using truncated spline estimator |
| topic | crime rate estimator spline truncated decency narcotics |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12133 |
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