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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Mathematics UNP
Khatimah, Havifah Husnatul
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Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics

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Analisis Regresi Linear Berganda dalam Menentukan Pengaruh Kinerja Keuangan terhadap Harga Saham Perusahaan LQ-45 di Bursa Efek Indonesia Khatimah, Havifah Husnatul; Helma, Helma
Journal of Mathematics UNP Vol 9, No 2 (2024): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v9i2.12910

Abstract

The stock price is the value formed by the negotiation between sellers and buyers on the stock exchange. Uncertainty in forecasting stock prices is a problem for investors because stock prices are always fluctuating. One of the internal factors affecting stock prices is financial performance. The aim of this research is to create a multiple linear regression model of the factors influencing stock prices and to identify the factors that significantly affect stock prices in LQ-45 companies on the Indonesia Stock Exchange. The analysis used is multiple linear regression analysis. The multiple linear regression model that describes the factors influencing stock prices in LQ-45 companies on the Indonesia Stock Exchange is: ???? = 7.391 + 0.01004 ????1+ 0.000901 ????2 + 0.01351 ????4.Based on the research, it was found that the factors significantly affecting stock prices in LQ-45 companies on the Indonesia Stock Exchange are Price to Earnings Ratio (x1), Earnings per Share (x2 ), and Return on Equity (x4 ) with an error rate of 5%.Keywords: Multiple Linear Regression, Stock Price, Financial Performance
PEMODELAN PERTAMBAHAN TINGGI BADAN BALITA STUNTING MENGGUNAKAN METODE REGRESI TOBIT KUANTIL BAYESIAN BOOTSTRAP Khatimah, Havifah Husnatul; Yanuar, Ferra; Devianto, Dodi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.927

Abstract

The purpose of this study was to analyze the model of height increase in stunted toddlers in West Sumatra Province and the factors that influence it using the Bayesian tobit quantile regression method. Then the parameters of the resulting model will be tested for accuracy using the Bootstrap method. The data used in this study are secondary data in the form of data on the height of stunted toddlers in West Sumatra Province obtained from the West Sumatra Health Office in August 2021 and February 2022 for 1755 toddlers. After analyzing the data on the height increase in stunted toddlers using the Bayesian tobit quantile regression method, it was found that the model at quantile 0.50 was the best model because it produced smaller MAD and RMSE values ​​than other quantiles. Furthermore, the parameter estimation of the Bayesian tobit quantile regression model has produced an acceptable estimated value because it is within the Bootstrap confidence interval. The significant factors influencing the height increase in stunted toddlers in West Sumatra Province are exclusive breastfeeding and immunization.
Co-Authors Devianto, Dodi Helma Helma Yanuar, Ferra