Multi-predictor Local Polynomial Regression for Predicting the Acidity Level of Avomango (Gadung Klonal 21)

Millatul Ulya, Nur Chamidah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

There are many studies on nondestructive evaluation using Near Infra-Red (NIR) Spectroscopy to determine the quality parameters of mangoes. The predictor variables used for predicting the mango quality parameters in the form of spectra values are generated from NIR spectroscopy. One parameter of the qualities of fruits is the fruit acidity. In general, the lower acidity of mangoes is the riper of the mangoes. Prediction of the acidity level of avomango by using one predictor still produces a high MAPE value of more than 40 percent, so that multi-predictor variables are needed to improve the prediction performance. This study aims to predict the acidity of Avomango (Gadung Klonal 21) by using the multi-predictor local polynomial regression approach and compare it with multiple polynomial regression. This study uses 100 divided samples into two parts, 80 in-sample data, and 20 out-sample data. The results showed that the multi-predictor local polynomial regression model gave highly prediction results for predicting acidity level of Avomango (Gadung Klonal 21) with MAPE value of 6.23 percent that is better than the MAPE value of MPR parametric approach of 10.79 percent.

Original languageEnglish
Title of host publicationInternational Conference on Mathematics, Computational Sciences and Statistics 2020
EditorsCicik Alfiniyah, Fatmawati, Windarto
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735440739
DOIs
Publication statusPublished - 26 Feb 2021
EventInternational Conference on Mathematics, Computational Sciences and Statistics 2020, ICoMCoS 2020 - Surabaya, Indonesia
Duration: 29 Sept 2020 → …

Publication series

NameAIP Conference Proceedings
Volume2329
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference on Mathematics, Computational Sciences and Statistics 2020, ICoMCoS 2020
Country/TerritoryIndonesia
CitySurabaya
Period29/09/20 → …

Fingerprint

Dive into the research topics of 'Multi-predictor Local Polynomial Regression for Predicting the Acidity Level of Avomango (Gadung Klonal 21)'. Together they form a unique fingerprint.

Cite this