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All Journal PALAPA: Jurnal Studi Keislaman dan Ilmu Pendidikan Nusantara Science and Technology Proceedings
Yuliana Susanti, Yuliana
Program Studi Agroteknologi
Religion Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Journal : Nusantara Science and Technology Proceedings

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The Factors Affecting Soybean Production in Indonesia Using Robust Regression with Least Median of Squares (LMS) Estimation Ratri, Aninda Puspa; Susanti, Yuliana; Slamet, Isnandar
Nusantara Science and Technology Proceedings Join Proceeding "Basic and Applied Science Conference (BASC) 2021 & 1st Education Research and Appli
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.1110

Abstract

Soybean is a product with a source of protein that improves the nutrition of Indonesians. The demand for soybeans is increasing, but the domestic production is not sufficient, so that the soybean production in Indonesia must be increased. This study aims to determine the influential factors on soybean production in Indonesia. The data of soybean production in Indonesia had outliers. Outliers cause the residual is not normally distributed so that the assumption of normality is violated. This problem was solved using robust regression. The estimation used was the Least Median of Squares because this estimation has a quite large breakdown point value. The results of the study show that the soybean production in Indonesia was influenced by the field area, the number of soybean seeds, and rainfall. The most influential factor on soybean production is the number of soybean seeds, field area, and rainfall. The attempts that must be conducted by the government to increase soybean production are by having socialization about soybean cultivation and ensuring the availability of soybean seeds in Indonesia.
Modeling of Rice Production in Indonesia Using Robust Regression with The Method of Moments (MM) Estimation Nugrahani , Isnaini Dyah; Susanti, Yuliana; Qona’ah, Niswatul
Nusantara Science and Technology Proceedings Join Proceeding "Basic and Applied Science Conference (BASC) 2021 & 1st Education Research and Appli
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.1111

Abstract

Indonesia is an agricultural country with the majority of the people making rice which is then processed product of rice as a staple food. However, in the last few years, rice production in Indonesia has decreased. Rice production data with influencing factors, namely, rice harvest area, land area affected by plant pests (OPT), rainfall, the population in Indonesia have outliers and have residuals that are not normally distributed so that regression analysis with the least-squares method cannot be used to estimate the amount of rice production. A robust regression model with Method of Moments (MM) estimation is used to solve outlier problems and violations of normality assumptions. This study aims to determine the robust MM estimation regression model to estimate rice production in Indonesia and determine the factors that significantly influence. The robust regression model of MM estimation on rice production in Indonesia shows that the increase in the amount of harvested area , the land area is exposed to plant pests (OPT) and the population will increase the amount of rice production, while the rainfall will reduce the amount of rice production with a high level of confidence. The variable harvested land area and the population has a significant effect on the amount of rice production. Based on the results obtained, it is hoped that there will be policies that consider factors that influence rice production to increase the amount of rice production in Indonesia.
Co-Authors Isnandar Slamet, Isnandar Nugrahani , Isnaini Dyah Qona’ah, Niswatul Ratri, Aninda Puspa Rina Febrinova, Rina