Publication Search

Kemiskinan masih menjadi permasalahan yang dihadapi oleh Provinsi Jawa Timur. Kondisi ini dipengaruhi oleh berbagai faktor, diantaranya Indeks Pembangunan Manusia (IPM) dan Tingkat Pengangguran Terbuka (TPT). Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder berbentuk deret waktu (time series) periode 2010–2024 yang diperoleh dari Badan Pusat Statistik (BPS) Provinsi Jawa Timur. Teknik analisis yang digunakan adalah regresi linier berganda dengan bantuan program EViews. Hasil penelitian menunjukkan bahwa secara parsial IPM memiliki pengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Timur, sedangkan TPT berpengaruh positif namun tidak signifikan. Secara simultan, IPM dan TPT berpengaruh signifikan terhadap tingkat kemiskinan di Provinsi Jawa Timur. Temuan ini menunjukkan bahwa peningkatan kualitas pembangunan manusia melalui aspek pendidikan, kesehatan, dan standar hidup yang layak dapat menjadi salah satu strategi dalam menurunkan tingkat kemiskinan di Provinsi Jawa Timur.

Penelitian ini bertujuan untuk menganalisis pengaruh struktur modal terhadap nilai perusahaan, menganalisis pengaruh profitabilitas terhadap nilai perusahaan, serta menganalisis pengaruh likuiditas terhadap nilai perusahaan pada perusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2022–2024. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan asosiatif. Populasi penelitian mencakup seluruh iverusahaan manufaktur sektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia periode 2022–2024 yang berjumlah 83 perusahaan. Sampel penelitian sebanyak 48 perusahaan yang dipilih melalui iverusa purposive sampling berdasarkan kriteria iv erusahaan yang terdaftar secara berturut-turut selama periode penelitian, mempublikasikan laporan keuangan secara lengkap, tidak mengalami kerugian selama periode penelitian, serta memiliki data yang sesuai dengan variabel penelitian. Jenis data yang digunakan adalah data sekunder yang bersumber dari laporan keuangan tahunan perusahaan yang dipublikasikan melalui situs resmi Bursa Efek Indonesia. Teknik pengumpulan data dilakukan melalui metode dokumentasi dengan mengakses dan mencatat data keuangan yang relevan. Analisis data menggunakan analisis regresi data panel dengan bantuan aplikasi Eviews melalui uji pemilihan model yang meliputi uji Chow, uji Hausman, dan uji Lagrange Multiplier untuk menentukan model yang paling sesuai. Hasil penelitian menunjukkan bahwa struktur modal yang diproksikan dengan Debt to Equity Ratio (DER) berpengaruh terhadap nilai perusahaan, yang menunjukkan bahwa komposisi penggunaan utang dan ekuitas dalam pendanaan perusahaan dapat memengaruhi persepsi investor terhadap kinerja dan prospek perusahaan. Profitabilitas yang diproksikan dengan Net Profit Margin (NPM) juga berpengaruh terhadap nilai perusahaan, yang mengindikasikan bahwa semakin tinggi kemampuan iverusahaan dalam menghasilkan laba maka semakin tinggi pula nilai perusahaan karena meningkatnya kepercayaan investor terhadap kinerja perusahaan. Sementara itu, likuiditas yang diproksikan dengan Current Ratio (CR) tidak berpengaruh signifikan terhadap nilai perusahaan, yang menunjukkan bahwa kemampuan perusahaan dalam memenuhi kewajiban jangka pendek belum tentu menjadi pertimbangan utama bagi investor dalam menilai perusahaan pada sektor makanan dan minuman.

Investment decisions in pharmaceutical manufacturing companies listed on the Indonesia Stock Exchange (IDX) are influenced by fundamental analysis and stock price fluctuations. Stock prices reflect market perceptions shaped by profitability, liquidity, and capital structure. This study examines the effects of Return on Assets (ROA), Current Ratio (CR), and Debt-to-Equity Ratio (DER) on stock prices, both partially and simultaneously. Using a quantitative approach, the study analyzes secondary data from audited financial statements and stock prices of 12 pharmaceutical companies during 2022–2024, totaling 36 observations. Panel data regression with EViews 12 is applied. Results show that ROA and DER have positive and significant effects on stock prices, while CR has a negative but insignificant effect. Simultaneously, all three variables significantly influence stock prices, with an adjusted R² of 73%, indicating strong explanatory power. Profitability (ROA) is the most influential factor, followed by capital structure (DER), while liquidity (CR) shows no significant impact.

Public companies must maintain sustainability, as it is related to their value. A company's value can be measured by its share price; a higher market price indicates a company's financial performance and investment returns for investors. A phenomenon has been observed in the consumer non-cyclical sector, which experienced declines and fluctuations in value from 2020 to 2024. This phenomenon indicates that falling share prices lead to a decline in company value. This study aims to analyze the influence of Corporate Social Responsibility, Tax Avoidance, and Dividend Policy on Company Value in companies in the Consumer Non-Cyclical sector listed on the Indonesia Stock Exchange during the 2020-2024 period. The study sample consisted of 10 companies with 50 data observations selected using a purposive sampling technique. Data analysis was conducted using panel data regression with the help of EViews 12 software. The results of the study indicate that (1) Corporate Social Responsibility, Tax Avoidance, and Dividend Policy as a whole have an effect on Company Value, (2) Corporate Social Responsibility partially has no effect on Company Value, (3) Tax Avoidance partially has no effect on Company Value, (4) Dividend Policy partially has no effect on Company Value. These findings prove that Corporate Social Responsibility, Tax Avoidance, and Dividend Policy together are able to influence company value, even though each variable does not have an effect on company value.

This study aims to determine the effect of financial performance, capital structure, and company size on company value in healthcare companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. This study uses an associative quantitative approach with secondary data obtained from the company's financial statements. The sample was determined using purposive sampling, resulting in 9 healthcare companies with 45 observations. Data analysis was performed using EViews 12. Panel data regression analysis was applied using the Random Effect Model (REM), selected based on the Chow test, the Hausman test, and the Lagrange multiplier test. Furthermore, classical assumption testing and hypothesis testing were carried out. The test results show that partially Financial Performance has a significant positive effect on Company Value with a calculated T value of 2.137061 > T table 2.01954 with a prob value of 0.0386 < 0.05, Capital Structure does not have a significant effect on Company Value with a calculated T value of 0.4770233 < T table 2.01954 with a prob value of 0.6407 > 0.05, Company Size has a significant positive effect on Company Value with a calculated T value of 2.134309 > T table 2.01954 with a prob value of 0.0388 < 0.05. Simultaneously, the three independent variables have a significant positive effect on Company Value with an Fcount value of 3.059588 > Ftable 2.83 with a prob value of 0.038758 < 0.05, with a contribution of 12.31% while the remaining 87.69% is influenced by other factors outside this study.

This study aims to determine the effect of corruption and external debt on poverty in Indonesia during the period 2003–2022, both simultaneously and partially. The data used in this study are secondary data obtained from the World Bank (WB) and Transparency International (TI). The analysis was conducted using the multiple linear regression method with the assistance of EViews 13 software. The results show that, simultaneously, corruption and external debt variables influence the level of poverty in Indonesia. Partially, both variables have a negative and significant effect on poverty during the study period. This means that the lower the level of corruption and the better the management of external debt, the lower the poverty rate in Indonesia tends to be. Overall, the findings indicate that reducing the level of corruption and improving external debt management are important steps in poverty alleviation efforts in Indonesia.

The purpose of this study was to determine and analyze the effect of wage levels, economic growth, and the Human Development Index (HDI) on income inequality through labor absorption in the Districts/Cities of Jambi Province from 2020-2024. The research method used is a quantitative descriptive analysis using panel data regression with the Fixed Effect Model approach.  The analysis method used Eviews 12. The results showed of that partially, income inequality in the Districts/Cities of Jambi Province is significant positive influenced by the wage level variable, while economic growth does not have a significant effect on income inequality. In addition, the Human Development Index (HDI) has a significant negative effect on income inequality. This implies that wage increases are actually followed by in income inequality. Meanwhile, economic growth has not been able to provide a broad income redistribution effect. Conversely, improving the quality of human development proves to be the most effective factor, as it is capable of significant reducing inequalirt levels. Simultaneously, the results show that the variables of wage levels, economic growth, and the Human Development Index (HDI) collectively have a significant influence on income inequality in Districts/Cities of Jambi Province.

This study aims to analyze the influence of interest rates, exchange rates, and coffee production on the value of coffee exports in South Sulawesi. The background of this study is based on the condition of South Sulawesi coffee exports which have experienced significant fluctuations in recent years despite coffee production tending to increase. This study uses a quantitative approach with time series data for the period 2009-2023 sourced from the World Bank, International Monetary Fund and the Directorate General of Plantations, the Food Crops, Horticulture and Plantation Service of South Sulawesi Province. Data analysis was conducted using multiple linear regression through the EViews 12 application with the classical assumption test as a model prerequisite. The results show that partially interest rates have a significant effect on coffee exports, while exchange rates and coffee production do not have a significant effect. Simultaneously, the three independent variables do not have a significant effect on the value of coffee exports. This finding indicates that external factors, especially interest rates, are more dominant in determining the performance of South Sulawesi coffee exports than internal factors of production and exchange rates.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

The Indonesian Civil Servants Cooperative (KPRI) plays an important role in enhancing member welfare and supporting the national economy. Nevertheless, increases in business volume and own capital do not necessarily translate into higher profitability, while the number of members an essential characteristic of cooperatives is also assumed to influence financial performance. This study aims to examine the effect of business volume and own capital on cooperative profitability, with the number of members acting as a mediating variable. A quantitative approach was employed using secondary data derived from the financial statements of KPRI in Bogor City during the 2020–2024 period. Purposive sampling was applied, resulting in 12 cooperatives with a total of 60 observations. Panel data regression analysis was conducted using EViews software, and mediation effects were tested using the Sobel test. The results indicate that business volume has a positive and significant effect on cooperative profitability, whereas own capital does not show a significant influence. The number of members has a negative and significant effect on profitability. Furthermore, the Sobel test confirms that the number of members does not mediate the relationship between business volume or own capital and cooperative profitability. These findings suggest that enhancing business activities and improving the quality of member participation are more critical for increasing cooperative profitability than merely expanding capital or membership size.

Tax Management refers to a company’s efforts to manage its tax obligations efficiently and legally in order to optimize net income. This study aims to examine the effect of Fixed Asset Intensity and Leverage on Tax Management, with Profitability as a moderating variable, in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. This research is conducted because tax management practices are considered to potentially influence corporate profitability and financial performance. The study is grounded in Agency Theory and employs a quantitative approach. The sample was selected using purposive sampling, resulting in 28 companies observed over four years, with a total of 112 secondary data observations obtained from annual reports or financial statements. Data analysis was performed using EViews 13 with a Moderated Regression Analysis (MRA) approach. The findings indicate that: (1) Fixed Asset Intensity has no significant effect on Tax Management; (2) Leverage has a significant negative effect on Tax Management; (3) Profitability does not moderate the relationship between Fixed Asset Intensity and Tax Management; and (4) Profitability strengthens the effect of Leverage on Tax Management.

The primary focus of this research is to evaluate the influence of Good Corporate Governance (GCG), profitability levels, and entity scale on the market value of coal mining companies listed on the Indonesia Stock Exchange (IDX) between 2021 and 2023. This study adopts a quantitative design by utilizing secondary data from the official IDX website, where 8 companies were selected as samples from a total population of 34 coal sub-sector companies through purposive sampling techniques. Data processing was carried out through panel data regression analysis using Eviews 12 software. The research data indicates that, independently, the implementation of good corporate governance and the level of profit acquisition do not contribute significantly to determining the value of the entity. Conversely, company size is proven to have a significant negative impact. Simultaneous testing confirms that these three independent variables collectively have a significant effect on company value. These findings indicate the need for strategies that consider factors beyond good corporate governance and profitability in efforts to increase company value, such as operational efficiency and proper asset management.

The relatively high volatility of Robusta coffee prices creates uncertainty for farmers, business actors, and policymakers in making economic decisions. This study aims to analyze the price movement patterns of Robusta coffee, determine the most appropriate Autoregressive Integrated Moving Average (ARIMA) model, and conduct short- to medium-term price forecasting for Robusta coffee. The data used consist of monthly Robusta coffee price data from January 2023 to September 2025, sourced from the World Bank Commodity Price Data. The analytical method employed is ARIMA using EViews software, beginning with stationarity testing using the Augmented Dickey-Fuller (ADF) test, model identification through ACF and PACF, parameter estimation, and residual diagnostic testing. The results show that Robusta coffee price data are non-stationary at the level but become stationary at the first difference, indicating integration of order one I(1). Based on model identification and diagnostic testing, the ARIMA (0,1,0) model is found to be the most appropriate and satisfies the white noise assumption. Forecasting results indicate that Robusta coffee prices are projected to remain relatively stable with a moderate upward trend through December 2026. These findings are expected to serve as a reference for decision-making by farmers, business actors, and the government in responding to Robusta coffee price dynamics.

This study aims to determine and analyze the effect of Corporate Social Responsibility, Green Accounting, Intellectual Capital, and Firm Size on Financial Performance with Good Corporate Governance as a moderating variable. This study was conducted on mining companies listed on the Indonesia Stock Exchange (IDX) for a five-year period, namely 2020–2024. The study population consisted of 34 mining companies, with the sampling method using purposive sampling, resulting in 33 companies as research samples. The information used was derived from secondary sources, namely annual reports and sustainability reports.  Multiple linear regression and Moderated Regression Analysis (MRA) were used to analyze the data, with the assistance of EViews software. The results showed that Corporate Social Responsibility had a positive and significant effect on Financial Performance. Green Accounting and Intellectual Capital also had a positive and significant effect on Corporate Social Responsibility. Meanwhile, Firm Size had a positive but insignificant effect on Financial Performance. The results of the moderation test indicate that Good Corporate Governance is unable to moderate the influence of CSR, Green Accounting, Intellectual Capital, or Firm Size on Financial Performance. This finding suggests that increasing social responsibility, implementing green accounting, and managing intellectual capital can improve the financial performance of mining companies, but their effectiveness has not been strengthened by corporate governance mechanisms.