@thesis{thesis,
		author={Asri  Yessy and Palupiningsih  Pritasari and REVIANSYAH  RISJAD MUHAMMAD},
		title ={KLASTERISASI TINGKAT INDIKATOR DIMENSI DASAR MANUSIA MENGGUNAKAN ALGORITMA K-MEANS (STUDI KASUS PROVINSI BANTEN DAN PROVINSI DKI JAKARTA)},
		year={2018},
		url={http://156.67.221.169/4522/},
		abstract={Indonesia has an inequality in human development, education provides the
highest inequality. Loss that occurs in the education dimension reaches 20,8
percent. In the dimensions of decent living standards reaches 17,3 percent, and
in the health dimension 16,5 percent. Most volunteers and the society take
responsive action after getting information from the media or from the local
communities. Therefore, this study aims to find out which areas have problems
on indicators of basic human dimensions in a certain year. Regions will be
grouped into three cluster groups, regions with low values, regions with moderate
values, and regions with high values. K-Means is an algorithm used to classify
regions. The results of this study are, knowing the areas that have the lowest,
medium, and highest values based on indicators of basic human dimensions in
2013 to 2017. Pandeglang and Serang Regencies are the lowest indicators such
as life expectancy with a center point of 62,928 in 2013 and up to 64,03 in 2017,
mean years of school is 6,299 to 6,666, per capita expenditure is 8411,72 to
9065,33. The cities of South Jakarta, East Jakarta, and Central Jakarta, areas
that are at the highest indicators such as life expectancy with a center point of
72,938 to 73,107, expected years of school is 12,673 to 13,438, mean years of
school is 10,469 to 10,851, and per capita expenditure with a center point of
17942,57 up to 18856,4.}
		}