@thesis{thesis,
		author={Wibowo  Azyyati Nur Syarafina},
		title ={CLUSTERING UNTUK PENCARIAN TIPE RUMAH YANG COCOK BAGI CALON KONSUMEN BARU MENGGUNAKAN METODE K-MEANS CLUSTERING (STUDI KASUS PT. MAXIMA JAYA PERKASA)},
		year={2019},
		url={http://eprints.ubhara.ac.id/594/},
		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%.}
		}