Xplore: Journal of Statistics
Vol. 10 No. 1 (2021)

Pemodelan Pola Produktivitas Cabai Rawit di Kabupaten Magelang

Yohanes Purnama (Department of Statistics, IPB University, Indonesia)
Farit M Affendi (Department of Statistics, IPB University, Indonesia)
Agus M Soleh (Department of Statistics, IPB University, Indonesia)



Article Info

Publish Date
31 Jan 2021

Abstract

The objective of this study was to determine the best model that describe the pattern of cayenne pepper productivity in Magelang Regency. This study uses primary data which was obtained from the results of a survey of cayenne pepper production by the General Director of Horticulture on several sample plots in Magelang District, Central Java Province in 2018. The process of data analysis was divided into two parts: grouping the sample plots based on the similarity in productivity pattern and then fitting models in each group. The models used to fit data were Logistic Growth Model, Monomolecular Growth Model, Exponential Growth Model, Polynomial Model and Linear B-Spline Model. The best model was determined based on R2 and MAPE. The results showed that the pattern of cayenne pepper productivity in Magelang District had eight different characteristics. Characteristics of each groups were illustrated by the similarity of their productivity pattern. The best model in each group was B-Spline Linear Model.

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Journal Info

Abbrev

xplore

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Mathematics

Description

Xplore: Journal of Statistics diterbitkan berkala 3 (tiga) kali dalam setahun yang memuat tulisan ilmiah yang berhubungan dengan bidang statistika. Artikel yang dimuat berupa hasil penelitian atau kajian pustaka dalam bidang statistika dan atau penerapannya. ISSN: 2302-5751 Mulai Desember 2018, ...