Deteksi Pencilan Spasial pada Data Kandungan Klorida di Sungai Mahakam Wilayah Samarinda Kalimantan Timur

Muhammad Jainudin (Laboratorium Statistika Terapan FMIPA Universitas Mulawarman)
Memi Nor Hayati (Laboratorium Statistika Terapan FMIPA Universitas Mulawarman)
Ika Purnamasari (Laboratorium Statistika Ekonomi dan Bisnis FMIPA Universitas Mulawarman)

Eksponensial
Vol 10 No 2 (2019): Jurnal Eksponensial

Spatial data is data presented in the geographical position of an object, relating to the location in the space of the earth. In spatial data often have conditions that are not reasonable because the existence of outlier. Outlier referred to are spatial outlier that are defined as local instability or spatial objects that describe relatively extreme non-spatial attributes or differ significantly from other objects. The existence of outlier can have an impact on the results of model parameter estimates for example, which causes the estimation results to be biased. One method of outlier detection is spatial statistic Z test. This research aims to detect outlier chloride level data in seven locations on the Mahakam River of Samarinda area using spatial statistic Z test method. Based on the calculations with a significance level of 5% from the seven locations, there is one location which is outlier at the location IPA Tirta Kencana value equal to Zhit is 1.997.