Skripsi

PENERAPAN DATA MINING UNTUK MEMPREDIKSI HARGA BAHAN BAKU PUPUK NPK MENGGUNAKAN DATA TIME SERIES

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Penilaian

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In the short term, tensions in the fertilizer market will increase agricultural production costs and affect farm profits. Especially for those focusing on the field of fertilizer production where the price of raw materials continuously fluctuates in a stochastic or uncertain way from time to time. This study aims to minimize expenses and prepare for the future by knowing when is the right time to buy raw materials for NPK fertilizer. The data used in this study was obtained from the internet using the Web Scraping method taken from the Indexmundi website in the form of Raw Material Prices, namely KCL, Phosphate, Urea which are the main raw materials for NPK Fertilizer. All of the data has a period of 25 years which includes Time Series data. This study uses data mining techniques with the CRISP DM method which is divided into six phases, namely business understanding, data understanding, data preparation, modeling, evaluation, and application. (deployment). For the selection of the best parameters in forecasting itself using the SARIMA method because the data shows a pattern that occurs repeatedly every year. The results of this study will later obtain predictions of raw material prices for the future period. Keywords: Forecasting, Data Mining, SARIMA, CRISP-DM Method, Time Series, Python

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002132	T54391	T543912021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T543912021

Publisher

Inderalaya : Fakultas Ilmu komputer, Prodi Sitem Informasi., 2021

Collation

xv, 63 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Pemerosesan Data-Sistem Informasi
Prodi Sitem Informasi

Specific Detail Info

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Statement of Responsibility

MURZ

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