Skripsi

PREDIKSI DALAM PENGIRIMAN STOK PRODUK PADA PT.PUPUK SRIWIDJAJA MENGGUNAKAN METODE REGRESI LINIER

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Penilaian

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Agriculture in Indonesia, which is an agricultural country, is used as a major sector in the national economy. Fertilizer itself is a material used to provide nutrients for plants. Production results in the right time and quantity is something that farmers expect. Predictive data mining is needed as a solution to the needs required by PT. Pupuk Sriwidjaja Palembang, to make it easier to determine the amount of stock that will be sent to each region. Linear regression is a method that is quite popular as one of the methods used in predictive time-series have a better level of accuracy and precision than other methods. By using the linear regression method, a correlation will be generated regarding the factors that affect the change in the number of product shipments stock. The data mining process is carried out using the Cross-Industry Standard Process for Data Mining (CRISP-DM) method then be implemented into a web-based system using the PHP programming language.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007002033	T39802	T398022020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T398022020

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Uniersitas Srwijaya., 2020

Collation

xvi, 64 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.120 7

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Sistem informasi

Specific Detail Info

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Statement of Responsibility

NO

Other version/related

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