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All Journal Fokus Ekonomi MATHunesa: Jurnal Ilmiah Matematika
Fitria, Arini
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Economics, Econometrics & Finance Mathematics

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THE EFFECT OF OPERATIONAL RISK, WORKING CAPITAL TURNOVER, LIQUIDITY, LEVERAGE RATIO ON PROFITABILITY IN MANUFACTURING COMPANIES LISTED ON THE IDX Fitria, Arini; Masitoh, Endang; Kurniati, Sari
Fokus Ekonomi : Jurnal Ilmiah Ekonomi Vol 19, No 1: June 2024
Publisher : STIE Pelita Nusantara Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34152/fe.19.1.85-94

Abstract

The purpose of this research is to analyze the factors that influence the profitability of a manufacturing company listed on the IDX for the 2019-2021 period. Sampling in this study using purposive sampling. There were 81 companies that were used as samples in this study which had met the sampling criteria. The data analysis technique uses multiple linear analysis. The results of this study indicate that operational risk and working capital turnover have no effect on profitability. While liquidity and leverage ratio affect profitability.
PENGARUH LUAS PANEN DAN PRODUKTIVITAS PADI TERHADAP PRODUKSI PADI DI PROVINSI KEPULAUAN BANGKA BELITUNG TAHUN 2018-2024 Khoirun Laili Nur Amaliah; Raldo, Alfio; Fitria, Arini; Fathir, Bagastama Iqbalil; Kustiawan, Elyas; Akbar, Ridho
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 1 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n1.p477-484

Abstract

Food security is one of the important issues in national development. In Indonesia, rice plays a role as the main commodity providing rice for the Indonesian people. Rice production in the Bangka Belitung Islands Province has shown a positive trend over the past few years. This study aims to analyze the effect of harvested area and productivity on rice production in the Bangka Belitung Islands Province. The data used are panel data of districts/cities in the Bangka Belitung Islands Province with a monthly period. The analysis method used is panel data regression with the help of EViews software. Based on the results of the Chow, Hausman, and Lagrange (LM) multiplier tests, the best model obtained is a random effects model with an estimated result of . The coefficient of determination (R²) value of 0.925579 indicates that 92.56% of the variation in rice production can be explained by harvested area and productivity, while the remaining 7.44% is explained by other variables outside the model. These results confirm that harvested area and productivity play an important role in increasing rice production in Bangka Belitung and can be a reference for local governments in formulating policies to improve food security. Keywords: Harvested Area, Rice Production, Productivity, Random Effect, Panel Data Regression.
Co-Authors Endang Masitoh, Endang Fathir, Bagastama Iqbalil Khoirun Laili Nur Amaliah Kurniati, Sari Kustiawan, Elyas Raldo, Alfio Ridho Akbar