Skripsi

PENGUJIAN ALGORITMA K-MEANS DALAM KL ASTERISASI DATA PERSEDIAAN OBAT DI KLINIK SAHABAT MANDIRI

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Penilaian

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Sahabat Mandiri Clinic has a goal, namely to improve the quality of health services for the general public. However, the current problem is that the current drug layout arrangement is not grouped by category of level of behavior in sales, but is only arranged in alphabetical order. In this case, a grouping of drug layouts will be carried out based on the category of level of sales behavior so that the clinic, especially the pharmacy department, is more effective and efficient in serving the community. The need for a supporting methodology in this case Data Mining in particular will be clustering and use the k-Means algorithm. From the drug inventory data, three tests have been carried out, namely data one year, data six months, and data three months. The results of tests that have been carried out using the k-Means algorithm show the smallest and best Davies Bouldin Index values are located at k = 5 and there is no significant difference in the results of the time periods one year, six months, and three months. Keywords: Data Mining, k-Means Algorithm, Davies Bouldin Index, Clustering

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002542	T50971	T509712021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T509712021

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xiv, 87 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.015 107

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Informasi
Prinsip Matematika dalam Ilmu Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

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