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THE EFFECT OF CORRUPTION ON POVERTY IN INDONESIA Nawatmi, Sri; Setiawan, Mulyo Budi; Maskur, Ali; Nusantara, Agung
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8, No 4 (2024): IJEBAR, VOL. 08 ISSUE 04, DECEMBER 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i4.15620

Abstract

A The purpose of this study is to determine the impact of corruption on poverty in Indonesia. The type of data taken is secondary data, time series 2007 - 2022. Corruption data, namely CPI, is sourced from Transparency International, while poverty data, HDI and TPT are sourced from BPS. The analysis technique used is multiple linear regression analysis using the classical OLS method. The results showed that corruption has a negative effect on poverty. This result is in accordance with the proposed hypothesis that increasing corruption (CPI declines) causes poverty to increase. The second variable, HDI, also has a negative effect on poverty, while TPT has a positive effect on poverty in Indonesia. The three variables have the ability to explain poverty by 94.4%.
THE EFFECT OF CORRUPTION ON POVERTY IN INDONESIA Nawatmi, Sri; Setiawan, Mulyo Budi; Maskur, Ali; Nusantara, Agung
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8 No 4 (2024): IJEBAR, VOL. 08 ISSUE 04, DECEMBER 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i4.15620

Abstract

A The purpose of this study is to determine the impact of corruption on poverty in Indonesia. The type of data taken is secondary data, time series 2007 - 2022. Corruption data, namely CPI, is sourced from Transparency International, while poverty data, HDI and TPT are sourced from BPS. The analysis technique used is multiple linear regression analysis using the classical OLS method. The results showed that corruption has a negative effect on poverty. This result is in accordance with the proposed hypothesis that increasing corruption (CPI declines) causes poverty to increase. The second variable, HDI, also has a negative effect on poverty, while TPT has a positive effect on poverty in Indonesia. The three variables have the ability to explain poverty by 94.4%.
The Influence of Oil Prices, Gold Prices, and Inflation on the Indonesian Sharia Stock Index 2021-2025 Nawatmi, Sri Nawatmi; Nusantara, Agung; Maskur, Ali; Setiawan, Mulyo Budi
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6439

Abstract

As is known, the stock price index always fluctuates. Fluctuations are sometimes high, sometimes low, and sometimes it is difficult to predict the rise and fall of the stock index. Therefore, the purpose of this study is to determine how the variables of world oil prices, world gold prices and inflation affect the Indonesian sharia stock index (ISSI). The type of data is secondary data. The data taken is time-series data, the time period January 2021 - February 2025. The dependent variable is ISSI, while the independent variables are world oil prices, world gold prices and inflation. Data sources come from BPS (Central Statistics Agency), BI (Bank Indonesia) and investing.com. The analysis method used is the OLS (Ordinary Least Square) method with multiple linear regression techniques. Before analyzing, classical assumption detection was carried out starting from the detection of normality, multicollinearity, heteroscedasticity and autocorrelation. The estimation results show that the world oil price variable does not affect the movement of the ISSI, while the world gold price and inflation have a positive effect on the Indonesian sharia stock index.