Prediksi Harga Cabai dengan Menggunakan pemodelan Time Series ARIMA

  • Fikri Nur Hadiansyah Telkom University
https://doi.org/10.21108/INDOJC.2017.2.1.144
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Abstract

Pada penelitian kali ini harga cabai diprediksi dengan menggunakan pemodelan time series ARIMA sehingga dapat diprediksi kemungkinan-kemungkinan terjadinya peningkatan harga cabai. Data akan dianalisis untuk ditentukan model ARIMA mana saja yang memungkinkan untuk dimodelkan sehingga akan didapatkan model yang efisien untuk pemodelan harga cabai ini. Hasil dari penelitian ini adalah sebuah model yang paling efisien untuk memprediksi kapan harga cabai mengalami peningkatan sehinnga para konsumen dapat melakukan pencegahan kelangkaan mendapat cabai.

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Author Biography

Fikri Nur Hadiansyah, Telkom University
Mahasiswa s1 universitas telkom jurusan Ilmu Komputasi

References

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Published
2017-09-14
How to Cite
Nur Hadiansyah, F. (2017). Prediksi Harga Cabai dengan Menggunakan pemodelan Time Series ARIMA. Indonesia Journal on Computing (Indo-JC), 2(1), 71-78. https://doi.org/10.21108/INDOJC.2017.2.1.144
Issue
Vol. 2 No. 1 (2017): Maret, 2017
Section
Computer Science

Copyright (c) 2017 Fikri Nur Hadiansyah

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