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Helma Helma
Lecturers of Matematics DepartmentUniversitas Negeri Padang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Pengelompokkan Sembilan Kabupaten/Kota di Provinsi Sumatera Barat Berdasarkan Tingkat Kriminalitas dengan Menggunakan Analisis Gerombol Chairina Wirdiastuti; Helma Helma
Journal of Mathematics UNP Vol 4, No 2 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.123 KB) | DOI: 10.24036/unpjomath.v4i2.6296

Abstract

Abstract Crime is an act that violates the law. Sumatra Barat Province have a high criminal. Criminals can make big problem for criminal victims, such as death, disability, material losses and others. The increase of crime is caused by several problem such as economic, social, conflict and etc. Crime is an element that explains the quality of sociaty and the law of a region. For that, it is necessary to know the groups of regencies/cities in the Province of Sumatera Barat based on crime rates so that the government can evaluate crime and improve some policies towards a region that has high crime. Data was obtained from the Central Agency on Statistics which showed the number of cases that occurred in regencies/cities in Sumatra Barat Province. Using cluster analysis with hirarchical method, it was concluded that regencies/cities in Sumatra  Barat province were divided into three groups where group one consist of Solok Regency, group two consist of Tanah Datar Regency, Padang Pariaman Regency, Lima Puluh Kota Regency, Solok Selatan Regency, Dharmasraya Regency, Pariaman City, and Sawahlunto City and group three consists of Bukittingi City.KeywordsCrime, Cluster Analysis,  Hierarchical Method
Metode Ordinary Kriging Menggunakan Semivariogram Isotropik dalam Menghitung Curah Hujan Kota Padang Anshari Luthfi Maulana Achiar; Helma Helma
Journal of Mathematics UNP Vol 4, No 1 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.74 KB) | DOI: 10.24036/unpjomath.v4i1.6263

Abstract

Abstract Kriging is a geostatistical method to predict a spacial object with unknown value based on another spacial object with known value. Kriging becomes semivariogram model to achieve optimum prediction by using the influence of spacial correlation. Counting rate of rainfall in forecast was one of the special problem in geostatistic. During its measurement, Meteorological Climatological Geophysical Agency (BMKG) was having financial and post obstacles that some districts did not have the rainfall observation center. That condition blocks kriging method in counting the rate on that area. One of the Kriging method used was ordinary kriging conducted for stationary data without outlier to produce a BLUE (Best Linier Unbiased Estimator) prediction. The aim of this research is to predict Padang city rate of rainfall on June 2018 within each district and subsdistrict. Keywords Kriging, Semivariogram, Rainfall.
Co-Authors Anshari Luthfi Maulana Achiar Chairina Wirdiastuti