Wibowo, Azyyati Nur Syarafina (2019) CLUSTERING UNTUK PENCARIAN TIPE RUMAH YANG COCOK BAGI CALON KONSUMEN BARU MENGGUNAKAN METODE K-MEANS CLUSTERING (STUDI KASUS PT. MAXIMA JAYA PERKASA). Skripsi thesis, UNIVERSITAS BHAYANGKARA SURABAYA.
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Abstract
For some Indonesian communities, Housing is one needs secondary, soin an election housing proper must be based on consumer advocacy. With the company PT .MaximaJaya Perkasa who pioneered in2012 wherea sale of the company data increase very rapidly every year. It can be done by using the method mining data available for analysis K-means Clustering. K-means clustering is one method is a grouping of (clustering) data non hirerarki (sekatan) trying partitioning existing data into the form of two or more group. This method partitioning data into a group so that data characteristic sat be incorporated into one the same group and the data characteristics different in group into other groups. The research useddata as salary,age,status,price ofhomeand installment. The result of this research by twice testing using data 12 training and 100 data training plus1data tes and the accuracy of data obtained 83% and error by 17%.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | K-means Clustering, Home, RealEstate,Euclidean,Salary, Price of Home, Installment KPR |
| Subjects: | Technology > Informations and Technology |
| Divisions: | Faculty of Engineering > Bachelor of Informations Technology |
| Depositing User: | Perpus Ubhara Surabaya |
| Date Deposited: | 30 Sep 2020 04:29 |
| Last Modified: | 30 Sep 2020 04:30 |
| URI: | http://eprints.ubhara.ac.id/id/eprint/594 |
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