PENERAPAN DATA MINING UNTUK MENGETAHUI LAJU PERTUMBUHAN INDUSTRI DI DINAS PERINDUSTRIAN PROVINSI SUMATERA SELATAN MENGGUNAKAN METODE NAÏVE BAYES

AGUSMAN, FENDRA and Ermatita, Ermatita (2018) PENERAPAN DATA MINING UNTUK MENGETAHUI LAJU PERTUMBUHAN INDUSTRI DI DINAS PERINDUSTRIAN PROVINSI SUMATERA SELATAN MENGGUNAKAN METODE NAÏVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Industry is one of the economic driving force in the region, in South Sumatra own famous industry ie food industry for pempek and handicraft industry for songket. So the need for a data collection of various industries undertaken by Dinas Perindustrian South Sumatra Province. But the problems that are still faced is too much data to be in though because the data covers 17 districts / cities and also in the processing has not been able to see the growth of industries in various regions. With the application of data mining using naïve bayes method, industry data can be classified based on investment value to see its growth.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Industry, Growth, Classification, Naïve Bayes
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Mrs Sri Astuti
Date Deposited: 12 Sep 2019 01:34
Last Modified: 12 Sep 2019 01:34
URI: http://repository.unsri.ac.id/id/eprint/7145

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