PENGGUNAAN MODEL ANALISIS REGRESI DALAM PENDUGAAN LUAS LAHAN DAN TEBU TERGILING BERBASIS GULA DI PT. MADUBARU PG/PS MADUKISMO, YOGYAKARTA

THE USE OF REGRESSION ANALYSIS MODELS IN ESTIMATING LAND AREA AND SUGAR-BASED MILLED SUGARCANE AT PT. MADUBARU PG/PS MADUKISMO, YOGYAKARTA

Authors

  • Hyunda Putri Kusumawardani Institut Pertanian (Intan) Yogyakarta
  • Raden Sugiarto Institut Pertanian (Intan) Yogyakarta
  • Yulius Kiswanto Institut Pertanian (Intan) Yogyakarta

Keywords:

prediction, land area, sugarcane, prediksi, luas lahan, tebu giling, gula, analisis regresi, sugar, regression analysis

Abstract

This study aims to develop a mathematical equation model with the application of sigmaplot to obtain an equation model used in estimating land area, the amount of sugarcane and raw sap produced in 2022. This research was conducted from December 2022 to January 2023 at PT. Madubaru PG/PS Madukismo, Tirtonirmolo, Kasian, Bantul.

This research method uses quantitative data analysis with variables of land area, amount of sugarcane milled, raw sap, and sugar. The 2021 data obtained will be statistically analyzed using the Sigmaplot 12.0 program with 2-dimensional linear regression analysis methods and multiple linear with 3D equation categories until the model is obtained and the 2022 data is used as model proof.

The results obtained, from the four models that have been made can be used as an equation model to estimate land area, sugarcane and sap in the following year and have good to very good forecasting abilities. This is evidenced by the results of valid validity tests and prediction error tests (MAPE) are on good to very good criteria.

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Published

2025-02-01

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Vol. 53 No. 1 (2025): Bulletin Agro Industri

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