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Using K-Means Clustering to Cluster Provinces in Indonesia
| Content Provider | Scilit |
|---|---|
| Author | Ahmar, Ansari Saleh Napitupulu, Darmawan Rahim, Robbi Hidayat, Rahmat Sonatha, Yance Azmi, Meri |
| Copyright Year | 2018 |
| Description | Journal: Journal of Physics: Conference Series K-Means Clustering (KMC) is a technique used in performing data groupings. The data classification procedure is based on the degree of membership of each member. The purpose of this study is to group the existing Provinces in Indonesia based on Population Density, School Participation Rate, Human Development Index, and Open Unemployment Rate using K-Means Clustering. The result reveals 5 large clusters in each center in South Sumatra, Lampung, DKI Jakarta, Central Java, and West Kalimantan. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1028/1/012006/pdf http://iopscience.iop.org/article/10.1088/1742-6596/1028/1/012006/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1028/1/012006 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1028 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-06-13 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Social Sciences, Interdisciplinary Using K Means Clustering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |