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Puji Muniarty
Management Program, Bima School of Economics, Bima City
Decision Sciences, Operations Research & Management Social Sciences

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Effect of Economic Growth on Poverty in Bima City Anggun Aisatun Zahroh; Puji Muniarty; Julaiha Julaiha
Ilomata International Journal of Management Vol 1 No 2 (2020): April 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.29 KB) | DOI: 10.52728/ijjm.v1i2.52

Abstract

Natural disasters and inflation that occurred in the city of Bima caused economic growth to slow down and cause the impact of social inequality that causes poverty. This study aims to analyze the effect of independent variables on the dependent variable. The independent variable in this study is economic growth while the dependent variable is poverty in the City of Bima for the period 2012-2018. The sample in this study is economic growth in the form of GDRP data based on constant prices and poverty over the past 7 years, from 2012 to 2018. The data used in this study are in the form of a list of tables on economic growth in the form of GDRP based on constant prices and poverty during 7 years obtained from the Central Statistics Agency office in Bima City. The data used are secondary data and the method used is simple linear regression analysis, simple correlation coefficient, simple linear determination and t test (2 parties) using SPSS Version 21.0 to obtain a comprehensive picture of the relationship between one variable with another variable. The results showed that economic growth had no effect and was not significant on poverty in the Bima city.
Bankruptcy Prediction Analysis Using the Altman Z-Score Method at PT Aneka Tambang (Persero) Tbk Iis Fitriani; Puji Muniarty
Ilomata International Journal of Management Vol 1 No 2 (2020): April 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.368 KB) | DOI: 10.52728/ijjm.v1i2.86

Abstract

This study aims to determine the prediction of bankruptcy in Aneka Tambang (Persero) Tbk for the period 2011 to 2018. Z-score is the independent variable (X) measuring by five ratios: working capital to total assets, retained earnings to total assets, earnings before interest and tax to total assets, the market value of equity to total liabilities, and sales to total assets. The background of this research is the government's ban on the export of raw minerals, which resulted in Aneka Tambang (Persero) Tbk no longer making overseas sales of nickel ore, which made the company's profit decline. This research method uses descriptive research with a quantitative approach, the source of the data used is secondary data based on financial reports published on the Indonesia Stock Exchange and the official website www.antam.com. The population used is the financial statement data for ten years, namely from 2009 to 2018, while the sample using for eight years, namely from 2011 to 2018. The data collection technique carried out using documentation and literature study techniques. Data analysis techniques were carried out by discriminant analysis using the Altman Z-Score method and one sample t-test analysis. The Altman Z-Score uses five variables that represent liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4, and X5. The formula Z-Score Z = 0.717 X1 + 0.847 X2 + 3.107 X3 + 0.420 X4 + 0.998 X5. With criteria, Z> 2.99 categorized as a good company. Z between 1.23 to 2.99 categorized as a company in the grey area or area of ​​financial difficulty. Z <1.23 is categorized as a potentially bankrupt company.
Debt to Equity Ratio (DER), Earning Per Share (EPS) Analysis of Company Value at PT Indosat, Tbk Desi Ratnasari; Puji Muniarty
Ilomata International Journal of Management Vol 1 No 3 (2020): July 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.791 KB) | DOI: 10.52728/ijjm.v1i3.118

Abstract

This study aims to analyze the effect of independent variables on the dependent variable. The independent variables are Debt to Equity Ratio (DER) and Earning Per Share (EPS) while the dependent variable is the Company Value at PT Indosat, Tbk for the period 2004-2018. The sample in this study over the past 15 years, namely from the period 2004-2018. The data used in this study is to use the company's financial statement data published on the Indonesia Stock Exchange (IDX) website and the company's official website. The data used are secondary data and the method used is regression analysis that is Time series data with the help of SPSS version 20.0 to get a picture of the relationship between one variable and another. The results showed that DER has no effect and no significant effect on firm value, EPS has no effect and no significant effect on firm value, DER and EPS simultaneously have no effect and no significant effect on firm value. The influence of DER and EPS on Company Value is 36.4% while the remaining 63.6% is influenced by other factors not included in the research model.
Influence of Inflation on Poverty in Bima City Junaidin Junaidin; Puji Muniarty
Ilomata International Journal of Management Vol 1 No 3 (2020): July 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.966 KB) | DOI: 10.52728/ijjm.v1i3.119

Abstract

Inflation and poverty are important indicators in the economy, the pace and growth are always strived to be low and stable so as not to cause macroeconomic diseases which will later have an impact on instability on the economy. This study aims to analyze the effect of independent variables on the dependent variable. The independent variable in this study is inflation while the dependent variable is poverty in the City of Bima in the period 2013-2018. The sample in this study is in the form of inflation and poverty data for the past 6 years, namely from 2013 to 2018. The data used in this study are in the form of a list of tables regarding inflation and poverty for 6 years obtained from the Office of the Statistics Indonesia (BPS) office in Bima City. The data used are secondary data and the method used is simple linear regression analysis, simple correlation coefficient, simple linear determination and t-test (2 parties) using SPSS Version 20.0 to get a comprehensive picture of the relationship between one variable with another variable. The results showed that inflation had no effect and was not significant on poverty in Bima City.
Effect of Economic Growth on Poverty in Bima City Anggun Aisatun Zahroh; Puji Muniarty; Julaiha Julaiha
Ilomata International Journal of Management Vol 1 No 2 (2020): April 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52728/ijjm.v1i2.52

Abstract

Natural disasters and inflation that occurred in the city of Bima caused economic growth to slow down and cause the impact of social inequality that causes poverty. This study aims to analyze the effect of independent variables on the dependent variable. The independent variable in this study is economic growth while the dependent variable is poverty in the City of Bima for the period 2012-2018. The sample in this study is economic growth in the form of GDRP data based on constant prices and poverty over the past 7 years, from 2012 to 2018. The data used in this study are in the form of a list of tables on economic growth in the form of GDRP based on constant prices and poverty during 7 years obtained from the Central Statistics Agency office in Bima City. The data used are secondary data and the method used is simple linear regression analysis, simple correlation coefficient, simple linear determination and t test (2 parties) using SPSS Version 21.0 to obtain a comprehensive picture of the relationship between one variable with another variable. The results showed that economic growth had no effect and was not significant on poverty in the Bima city.
Bankruptcy Prediction Analysis Using the Altman Z-Score Method at PT Aneka Tambang (Persero) Tbk Iis Fitriani; Puji Muniarty
Ilomata International Journal of Management Vol 1 No 2 (2020): April 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52728/ijjm.v1i2.86

Abstract

This study aims to determine the prediction of bankruptcy in Aneka Tambang (Persero) Tbk for the period 2011 to 2018. Z-score is the independent variable (X) measuring by five ratios: working capital to total assets, retained earnings to total assets, earnings before interest and tax to total assets, the market value of equity to total liabilities, and sales to total assets. The background of this research is the government's ban on the export of raw minerals, which resulted in Aneka Tambang (Persero) Tbk no longer making overseas sales of nickel ore, which made the company's profit decline. This research method uses descriptive research with a quantitative approach, the source of the data used is secondary data based on financial reports published on the Indonesia Stock Exchange and the official website www.antam.com. The population used is the financial statement data for ten years, namely from 2009 to 2018, while the sample using for eight years, namely from 2011 to 2018. The data collection technique carried out using documentation and literature study techniques. Data analysis techniques were carried out by discriminant analysis using the Altman Z-Score method and one sample t-test analysis. The Altman Z-Score uses five variables that represent liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4, and X5. The formula Z-Score Z = 0.717 X1 + 0.847 X2 + 3.107 X3 + 0.420 X4 + 0.998 X5. With criteria, Z> 2.99 categorized as a good company. Z between 1.23 to 2.99 categorized as a company in the grey area or area of ​​financial difficulty. Z <1.23 is categorized as a potentially bankrupt company.
Debt to Equity Ratio (DER), Earning Per Share (EPS) Analysis of Company Value at PT Indosat, Tbk Desi Ratnasari; Puji Muniarty
Ilomata International Journal of Management Vol 1 No 3 (2020): July 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52728/ijjm.v1i3.118

Abstract

This study aims to analyze the effect of independent variables on the dependent variable. The independent variables are Debt to Equity Ratio (DER) and Earning Per Share (EPS) while the dependent variable is the Company Value at PT Indosat, Tbk for the period 2004-2018. The sample in this study over the past 15 years, namely from the period 2004-2018. The data used in this study is to use the company's financial statement data published on the Indonesia Stock Exchange (IDX) website and the company's official website. The data used are secondary data and the method used is regression analysis that is Time series data with the help of SPSS version 20.0 to get a picture of the relationship between one variable and another. The results showed that DER has no effect and no significant effect on firm value, EPS has no effect and no significant effect on firm value, DER and EPS simultaneously have no effect and no significant effect on firm value. The influence of DER and EPS on Company Value is 36.4% while the remaining 63.6% is influenced by other factors not included in the research model.
Influence of Inflation on Poverty in Bima City Junaidin Junaidin; Puji Muniarty
Ilomata International Journal of Management Vol 1 No 3 (2020): July 2020
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52728/ijjm.v1i3.119

Abstract

Inflation and poverty are important indicators in the economy, the pace and growth are always strived to be low and stable so as not to cause macroeconomic diseases which will later have an impact on instability on the economy. This study aims to analyze the effect of independent variables on the dependent variable. The independent variable in this study is inflation while the dependent variable is poverty in the City of Bima in the period 2013-2018. The sample in this study is in the form of inflation and poverty data for the past 6 years, namely from 2013 to 2018. The data used in this study are in the form of a list of tables regarding inflation and poverty for 6 years obtained from the Office of the Statistics Indonesia (BPS) office in Bima City. The data used are secondary data and the method used is simple linear regression analysis, simple correlation coefficient, simple linear determination and t-test (2 parties) using SPSS Version 20.0 to get a comprehensive picture of the relationship between one variable with another variable. The results showed that inflation had no effect and was not significant on poverty in Bima City.
Co-Authors Anggun Aisatun Zahroh Desi Ratnasari Iis Fitriani Julaiha Julaiha Junaidin Junaidin