ANALISIS PENGARUH LUAS PANEN DAN PRODUKTIVITAS UBI KAYU DI KABUPATEN KEBUMEN DENGAN MENGGUNAKAN REGRESI LINIER BERGANDA

  • Umi Muslimah Department of Mathematics, Jenderal Soedirman University
  • Agus Sugandha Department of Mathematics, Jenderal Soedirman University

Abstract

Cassava  are one of the staple foods in place of rice. However, today almost no one consumes cassava  as a staple food substitute for rice. Indonesia is ranked third as the world's largest producer of cassava. Therefore, to maintain the value of yam production, the author will look for linear regression models as well as the best models with factors that are harvest area and productivity. Productivity is defined as the result of a comparison between the area of harvest and production. To search for regression models use multiple linear regression methods, while the best models use stepwise methods. Based on existing data, the best model is obtained with negative interception and influenced by productivity and the extent of the yam harvest.

Published
2021-12-07
How to Cite
MUSLIMAH, Umi; SUGANDHA, Agus. ANALISIS PENGARUH LUAS PANEN DAN PRODUKTIVITAS UBI KAYU DI KABUPATEN KEBUMEN DENGAN MENGGUNAKAN REGRESI LINIER BERGANDA. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 13, n. 2, p. 127-140, dec. 2021. ISSN 2550-0422. Available at: <http://jos.unsoed.ac.id/index.php/jmp/article/view/5011>. Date accessed: 08 feb. 2023. doi: https://doi.org/10.20884/1.jmp.2021.13.2.5011.

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