MEMBANGUN ATURAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PERTIMBANGAN MEMBUAT ATURAN KEPENDUDUKAN

Widyatama Repository

MEMBANGUN ATURAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PERTIMBANGAN MEMBUAT ATURAN KEPENDUDUKAN

Show full item record

Title: MEMBANGUN ATURAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PERTIMBANGAN MEMBUAT ATURAN KEPENDUDUKAN
Author: Sulianta, Feri
Abstract: Data mining approach is used as a technique to obtain important information that can be used as supporting material in a decision . in this study, the association method is implemented to obtain relationship existing on population data , especially to get the relationship patterns of crime events related to characteristics of the population. In this case , invalid data and missing values must be handled carefully before building association rules. Apriori algorithm is applied to this method, since the algorithm is proven to generate rules with high degree of accuracy in establishing the pattern of connectivity between attributes . Association rules will be used as a basis for making policy related to the population problem .
URI: http://repository.widyatama.ac.id/xmlui/handle/123456789/7863
Date: 2016-05-28


Files in this item

Files Size Format View
COVER.pdf 57.98Kb PDF View/Open
KATA PENGANTAR.pdf 196.3Kb PDF View/Open
HALAMAN REDAKSI.pdf 58.09Kb PDF View/Open
KOMITE SELISIK 2016.pdf 61.42Kb PDF View/Open
DAFTAR ISI.pdf 223.3Kb PDF View/Open
PAPER FERI SULIANTA.pdf 265.4Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record