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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.
PENGARUH INFLUENCER MARKETING, ELECTRONIC WORD OF MOUTH DAN SOCIAL MEDIA MARKETING TERHADAP KEPUTUSAN PEMBELIAN (Studi Kasus Pada Pembelian Produk Erigo Di Kota Semarang) Darmawan, Aldi Taufik; Setiawan, Mulyo Budi
Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Vol 7 No 1 (2024): Article Research Volume 7 Number 1, January 2024
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v7i1.1412

Abstract

Tujuan dari penelitian ini adalah untuk menganalisis pengaruh influencer marketing, electronic word of mouth dan Social Media Marketing terhadap Keputusan Pembelian produk Erigo di Kota Semarang. Sampel dalam penelitian ini adalah 95 pelanggan yang membeli produk Erigo di Kota Semarang. Teknik pengambilan sampel dalam penelitian ini adalah purposive sampling. Alat analisis yang digunakan adalah analisis regresi linier berganda. Hasil analisis dapat disimpulkan bahwa: influencer marketing berpengaruh positif terhadap keputusan pembelian. electronic word of mouth berpengaruh positif terhadap keputusan pembelian. sosial media marketing mempunyai pengaruh positif terhadap keputusan pembelian.
Income Inequality – Empirical Study of 34 Provinces in Indonesia Setiawan, Mulyo Budi; Nawatmi, Sri; Nusantara, Agung
Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Vol 7 No 2 (2024): Artikel Periode Research Juli 2024
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v7i2.1677

Abstract

This research aims to find out what variables determine income inequality in 34 provinces in Indonesia 2018 - 2021. The method used in this research is pooling data or panel data. There are 3 models available in panel data, namely the PLS (pooled Least Square) model, FEM (Fixed Effect Model) and REM (Random Effect Model). Before analyzing, the first step is to determine the best model from the 3 models. The Chow test results show that the best model between PLS and FEM is FEM. To determine which model should be chosen between FEM and REM, the Hausman test is used, and the better model is FEM. Therefore, in this study FEM was used to estimate income inequality in 34 provinces in Indonesia. The estimation results show that of the 3 independent variables used in the estimation, only the HDI variable (human development index) influences income inequality in 34 provinces in Indonesia with a negative sign. Other variables, GRDP per capita and open unemployment rate do not affect income inequality.
Test of Different Effectiveness of Candirejo Tourist Village Cooperative Asset Management Ottavia, Niendi Devie; Setiawan, Mulyo Budi
Jurnal Ekonomi Vol. 13 No. 02 (2024): Jurnal Ekonomi, Edition April - June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to examine differences in asset management variables consisting of asset management effectiveness, asset grouping effectiveness, and asset use effectiveness in the Candirejo Tourism Village Cooperative before and after implementing digitalization of asset management through the Information and Asset System (SiASET) in the Candirejo Tourism Village Cooperative. This type of quantitative research originates from qualitative data which is converted into numbers or scored. This research explains the relationship between differences between variables. This research used a sample of 10 respondents from members of the Candirejo Tourism Village Cooperative through an interview system. Through the Paired Sample T-Test Dependent Test stage using Excel software as a supporting tool in data analysis. The results of the research show that there are differences between asset management variables consisting of asset management effectiveness, asset grouping effectiveness, and effective use of assets of the Candirejo Tourism Village Cooperative, before and after implementing digitalization of asset management through the Information and Asset System (SiASET) in the Tourism Village Cooperative Candirejo.