Bulletin of Information System Research
Vol 2 No 2 (2024): April 2024

Normalisasi Data Kependudukan Dengan Model Min Max Dan Algoritma K-Means Untuk Pengelompokkan Tingkat Ekonomi Masyarakat

Wenny, Wenny (Unknown)



Article Info

Publish Date
29 Apr 2024

Abstract

Desidential data at Disdukcapil Deli Serdang has only been used for administrative purposes such as making certificates, ID cards, family cards, and others. Meanwhile, the data should be able to increase its usefulness functions such as classifying the economic level of the Deli Serdang Regency community. So far, many people feel disadvantaged because the distribution of government assistance to low-level economic communities is often misdirected, there are people who should get assistance but instead cannot, but there are people who are less deserving of assistance who can get assistance, this can be influenced by various factors such as kinship, closeness or other things. techniques are needed in classifying the economic level of the Deli Serdang Regency community based on certain criteria. The K-Means algorithm is one of the algorithms in data mining to classify certain data, for that it is very suitable to use the K-Means algorithm in classifying the economic level of the community.

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Journal Info

Abbrev

bios

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

Bidang Kajian dari jurnal Bulletin of Information System Research (BIOS), pada bidang ilmu komputer diantaranya, yaitu: Sistem Pendukung Keputusan Kecerdasan Buatan Data Mining Sistem Informasi Manajemen Informatika Sistem Pakar Big Data Text ...