Publication Search

This study examines the factors influencing Indonesia’s motor vehicle exports to nine developing countries using the gravity model approach with long-term and short-term panel data. The variables analyzed include the Gross Domestic Product (GDP) of partner countries, exchange rates, economic distance, and trade cooperation agreements. The data are analyzed using the Error Correction Model (ECM) to capture short-term dynamics and long-term relationships. The long-term results show that partner countries’ GDP has a significant positive effect on Indonesia’s vehicle exports, indicating that economic growth in partner countries increases demand for Indonesian automotive products. Conversely, exchange rates and economic distance have significant negative effects, suggesting that depreciation of partner currencies and economic disparities reduce export volumes. Trade cooperation agreements do not have a significant impact in the long term. In the short term, changes in GDP continue to have a significant positive effect, while exchange rates maintain a significant negative impact on exports. Economic distance and trade agreements are not significant in the short term. The significant and negative error correction term (ECT) confirms the existence of an adjustment mechanism toward long-term equilibrium. This study highlights the importance of partner countries’ economic growth and exchange rate stability in supporting Indonesia’s vehicle exports to developing countries, as well as the need to address structural barriers to improve long-term competitiveness.

This study aims to analyze the effect of inflation, Gross Regional Domestic Product (GRDP), and the Provincial Minimum Wage (PMW) on the poverty line in 10 provinces in Indonesia. The research employs a quantitative approach using panel data regression analysis. The data utilized in this study consist of panel data covering a 10-year period, from 2015 to 2024, obtained from the Provincial Offices of Statistics and Statistics Indonesia (Badan Pusat Statistik/BPS). To examine the relationship between variables across regions and over time, the fixed effect model is applied in the analysis. The results of the analysis indicate that inflation and GRDP do not have a statistically significant effect on the poverty line in the 10 provinces examined. These findings suggest that although inflation and GRDP are important macroeconomic indicators, their variations during the study period were not sufficient to directly influence changes in the poverty line across the provinces. In contrast, the Provincial Minimum Wage (PMW) is found to have a significant effect on the poverty line. This result implies that increases in the minimum wage play a crucial role in improving household purchasing power, which can contribute to reducing poverty levels. Overall, the findings highlight the importance of wage policy as an effective instrument for poverty alleviation at the provincial level. While broader economic growth and price stability remain important, policies related to minimum wage determination appear to have a more direct and measurable impact on poverty conditions. Therefore, policymakers are encouraged to consider wage policies alongside other macroeconomic strategies to achieve more effective poverty reduction outcomes.

This study aims to analyze the effect of the Current Ratio (CR), Return on Assets (ROA), and Debt to Equity Ratio (DER) on Company Value in banking companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. The research uses a quantitative approach with secondary data obtained from 27 out of 46 banking companies selected through purposive sampling. Data analysis was conducted using panel data regression with Eviews 10, supported by several classical assumption tests including normality, multicollinearity, and heteroscedasticity tests. Further analyses include multiple linear regression, t-tests, F-tests, and the Adjusted R² to evaluate the overall model fit. The partial test results show that the Current Ratio has a significant positive effect on Company Value, indicating that higher liquidity strengthens market perception of firm performance. Meanwhile, Return on Assets does not show a significant effect, suggesting that profitability alone is not a determining factor for firm valuation in the banking sector during the observed period. The Debt to Equity Ratio demonstrates a significant positive effect, implying that investors consider leverage an important indicator in assessing banking performance. Simultaneously, all three variables significantly influence Company Value. These findings highlight the importance of liquidity and leverage in shaping investor appraisal of banking companies in Indonesia.

Indonesia ranks second as the world’s largest fishery-producing country. However, this potential contrasts with the relatively small and stagnant contribution of fishery exports to the GDP each year when compared to other export commodities in the agricultural sector. This study aims to determine the export competitiveness of fisheries and the effect of Indonesia’s GDP, the GDP of destination countries, Indonesia’s population growth rate, the population growth rate of destination countries, and economic distance simultaneously and partially on the value of Indonesia’s fishery exports to 20 destination countries. This research uses panel data, consisting of cross-section and time series data for the period 2018–2022. The data analysis technique employs panel data regression with the assistance of the Eviews-12 analysis tool. The results show that Indonesia’s GDP, the GDP of destination countries, Indonesia’s population growth rate, the population growth rate of destination countries, and economic distance simultaneously have an effect on Indonesia’s fishery exports. The population growth rate of destination countries has no effect on fishery exports, while economic distance has a significant negative effect on Indonesia’s fishery exports.

This study aims to analyze the effect of welfare inequality on poverty levels on the island of Sumatra. Welfare inequality is measured using the Gini Index, while poverty levels are measured by the percentage of the poor population at the provincial level. This study uses a quantitative method with a panel data approach covering ten provinces on the island of Sumatra during the period 2020–2024. The analytical techniques used include panel data regression with fixed and random effects models, as well as classical assumption testing to ensure model validity. The results show that welfare inequality has a positive and significant effect on poverty levels, meaning that increasing inequality in income distribution tends to increase the number of poor people. This finding indicates that uneven economic growth can worsen the welfare of the community, especially low-income groups. Therefore, more inclusive and sustainable development policies are needed, particularly in increasing equitable access to education, health services, and productive employment opportunities to reduce inequality and poverty levels on the island of Sumatra.

Coffe is one of Indonesia’s leading commodities, known for its diverse flavors and aromas. Traditionally, coffee quality assessment is conducted manually through cupping tests performed by expert panelists. However, this method is subjective and requires considerable time and cost. This study aims to implement an Artificial Neural Network (ANN) using the backpropagation algorithm to classify coffee types based on sensory parameters such as flavor, aroma, acidity level, and body. Simulated data were generated from five common Indonesian coffee varieties: Arabica Gayo, Robusta Lampung, Arabica Toraja, Liberica Jambi, and Excelsa. The results show that the ANN-based classification system with a 4-8-1 architecture achieved an accuracy rate of 93% after 500 training epochs, with a final error value of 0.07. The implementation of this method provides an efficient and objective technological alternative to assist the coffee industry in maintaining product quality and automatically identifying coffee types.    

This study, entitled "A nalysis of Population Density, Economic Growth Rate, and the Number of Motorized Vehicles on Environmental Quality in Indonesia," aims to analyze: 1) the development of environmental quality in Indonesia; 2) the influence of population density, economic growth rate, and the number of motorized vehicles on environmental quality in Indonesia. This study employed a quantitative method, utilizing secondary data from 2019-2023, sourced from the Central Statistics Agency (BPS), the Ministry of Environment and Forestry (KLHK), and other sources. Panel data analysis tools, classical assumption tests, and hypothesis testing were used. Panel data regression results indicate that, partially, population density has a significant negative effect, economic growth rate has a negative and significant effect, while four-wheeled and two-wheeled motorized vehicles have a positive and significant effect on environmental quality in Indonesia. Meanwhile, collectively, population density, economic growth rate, and the number of motorized vehicles significantly influence environmental quality in Indonesia.

Poverty remains a central issue in regional development, particularly in areas with pronounced economic disparities such as South Sumatra Province. This study aims to examine the effect of Gross Regional Domestic Product (GRDP) on the poverty rate across regencies and cities in South Sumatra during the period 2020–2024. A quantitative research approach was employed using panel data regression analysis, supported by descriptive statistics and classical assumption tests. The empirical findings indicate that GRDP has a negative and statistically significant effect on poverty, suggesting that an increase in regional economic capacity contributes to reducing poverty levels. However, the relatively small coefficient signifies that economic growth has not been fully inclusive and is influenced by the structural characteristics of each region. The Fixed Effect Model was identified as the most appropriate specification, highlighting the existence of heterogeneity across districts that shapes the relationship between GRDP and poverty. These results underscore the need for development strategies that not only promote economic growth but also ensure an equitable distribution of its benefits through the reinforcement of labor-intensive sectors, enhancement of human capital, and strengthening of local economic structures. The study provides valuable insights for regional policymakers in designing more effective and sustainable poverty alleviation strategies.

This study aims to examine the organoleptic storage life of kecicang chili sauce using vacuum storage. The research design is experimental, involving 3 trained panelists, all of whom are lecturers from the Culinary Arts Vocational Education Study Program. The data collection method used in this study was observation through organoleptic testing using a 5-point Likert scale, namely 5) Very Good, 4) Good, 3) Fairly Good, 2) Not Very Good, 1) Very Poor. Data analysis used quantitative descriptive methods. The results of this study indicate that: 1) Processing affects the quality of kecicang chili sauce, using a technique that involves grinding the ingredients using a chopper, cooking at a temperature of ±70°C, and then vacuum packing. The organoleptic test results showed that vacuum storage was able to maintain the sensory properties of the sambal, as assessed from the aspects of colour, distinctive kecicang aroma, kecicang texture, solid dough texture, and distinctive kecicang taste, which were rated “fairly good” based on colour, aroma, texture, and taste. Vacuum-sealed sambal maintained its best quality until day 3rd, with no signs of leaking. The most significant changes occurred in the flavor and aroma, rendering it unfit for consumption. The sambal packaging, which showed no signs of leaking, maintained its sensory quality until day 5.

This study aims to analyze the effect of financial performance, proxied by profitability (ROA) and liquidity (CR), on firm value measured by Tobin’s Q, with capital structure (DER) as a mediating variable. The research sample consists of 18 startup companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The method employed is panel data regression analysis, with the best model selected through the Chow Test, Hausman Test, and Lagrange Multiplier Test. The findings indicate that profitability and liquidity have a significant effect on capital structure. However, profitability, liquidity, and capital structure are not proven to have a direct effect on firm value. Furthermore, capital structure does not serve as a mediating variable. These results suggest that traditional financial metrics are not the main factors in assessing startup valuation in the Indonesian capital market. Other aspects, such as growth prospects and innovation, appear to play a more dominant role in determining firm value

The Indonesian Naval Academy (AAL) as a military educational institution requires a large electricity supply to support its operational activities, including in the Sapudi Building of the Engineering Department. This study aims to design a solar energy system to supply the electricity needs for lighting in the building. The method used is Research and Development (R&D) with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Data collection was conducted through direct observation of building conditions, electrical equipment, and solar radiation intensity data in Surabaya. The research results show that the total electricity requirement for lighting in the Sapudi Building is 4.686 kW with a total of 143 lights (96 neon lights and 47 light bulbs). Based on calculations with an average solar radiation of 5.00 kWh/m²/day, the designed system requires 41 units of Solar PV Lesso HPM 550W panel type with 21.3% efficiency and 9 units of Panasonic LC-P12100NA batteries with a capacity of 100Ah arranged in 3 series and 3 parallel configurations. This study proves that the utilization of solar energy can be an efficient and sustainable alternative solution to reduce dependence on conventional electricity in the AAL environment, while supporting the implementation of renewable energy in Indonesian military institutions.

This study aims to develop sweet potatoes (Ipomoea batatas) as an alternative raw material for producing Gnocchi pasta by processing them into flour and formulating pasta based on local food ingredients. This innovation is intended to increase the added value of sweet potatoes and support food diversification in the community. The research employed a Research and Development (R&D) approach through stages of identifying potentials, collecting data, designing products, validating designs, revising designs, testing products, developing the final product, and conducting limited production. The study was carried out over three months at the Culinary Arts Laboratory of Universitas Negeri Manado. The results show that the sweet potato flour produced through peeling, slicing, heat processing, drying, milling, and sieving generated high-quality flour with a natural purple color and fine texture suitable for Gnocchi production. The formulated Gnocchi made from sweet potato flour exhibited color, aroma, taste, and texture characteristics that were well-received by panelists. Nutritional analysis conducted by the Industrial Research and Standardization Center of Manado revealed that sweet potato Gnocchi contains 55 g of moisture, 28 g of carbohydrates, 6 g of sugar, 3 g of dietary fiber, 2.5 g of protein, 1.2 g of total fat, and 200–300 mg of natural anthocyanins per 100 g. These components indicate that the product has the potential to be developed as a functional food. This study concludes that sweet potatoes have great potential to be developed as raw material for modern pasta products such as Gnocchi due to their favorable physical and chemical properties. In addition, the utilization of local ingredients supports national food diversification efforts, the development of creative culinary industries, and business opportunities for ready-to-cook and ready-to-eat food products.

Poverty is a complex and multidimensional problem. It can be characterized as a condition in which there is a lack of aspects related to the quality of life. North Sumatra Province is known as one of the richest provinces in Indonesia with abundant natural resources and agricultural products such as petroleum, natural gas, palm oil, rubber, and forest products used as industrial materials. However, it still ranks among the provinces with the highest poverty rates in Indonesia. This study aims to analyze the effect of unemployment rate, economic growth, and Human Development Index (HDI) on poverty in 14 districts/cities of North Sumatra Province during the 2016–2023 period. The analytical method used is panel data regression with the Fixed Effect Model (FEM) approach. The results of this study indicate that simultaneously, the three independent variables have a significant effect on poverty. Partially, unemployment has a positive and significant effect, while economic growth and HDI have no significant effect on poverty.

This study analyzes the effect of operating costs, production costs, and sales volume on net profit in pharmaceutical companies listed on the Indonesia Stock Exchange (IDX) for the period 2021-2024. Using a quantitative method with panel data regression analysis, this study took a sample of 11 companies and secondary data from financial reports. The results of the hypothesis test show that operating costs, production costs, and sales volume partially have a positive and significant effect on net profit. These findings are consistent with existing literature and indicate that efficient cost management and increased sales volume are crucial factors in maximizing profitability in the pharmaceutical sector. Furthermore, this research is also relevant to Agency Theory, which suggests that management, as agents, must manage costs and sales transparently to align their interests with those of shareholders, ultimately leading to the sustainable increase of company value. This study contributes to understanding key factors driving financial performance in the industry.

Taxes are a primary source of government revenue and play a crucial role in economic development. However, tax avoidance practices are still widely practiced by companies, including in the mining sector, which has significant potential to generate state revenue. This study aims to examine the influence of financial distress, corporate governance (independent commissioners and audit committees), and institutional ownership on tax avoidance in mining companies listed on the Indonesia Stock Exchange for the 2020–2023 period. The study population consisted of 83 companies, and through purposive sampling, 61 companies were selected, with a total of 244 observations. The analysis used panel data regression with the help of Eviews 25. The results indicate that financial distress and institutional ownership have a positive effect on tax avoidance, while independent commissioners and audit committees have a negative effect on tax avoidance. These findings suggest that a company's financial condition and ownership structure play a significant role in determining tax avoidance policies.

This study aims to analyze the relationship between managerial ownership, institutional ownership, audit committee, and research and development (R&D) expenses on Intellectual Capital Disclosure (ICD) in healthcare sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. Intellectual Capital Disclosure is essential as it reflects a company’s ability to manage knowledge, innovation, and human resources that serve as its competitive advantage. This research employs a quantitative approach using the total sampling method, where all healthcare sector companies that meet the criteria are included as samples. Secondary data were obtained from annual reports and analyzed using panel data regression with the assistance of Stata 19 software. Model selection was conducted through Chow, Hausman, and Lagrange Multiplier (LM) tests, with the results indicating that the Random Effect Model (REM) was the most appropriate model to use. The results show that managerial ownership, institutional ownership, and audit committee have negative and insignificant relationships with Intellectual Capital Disclosure. In contrast, research and development activities have a positive and significant relationship with Intellectual Capital Disclosure.

This study aims to identify: 1) The effect of halal certification on the perceptions of students of the Islamic Economics program at IAIN Pontianak regarding Pro-Israel products. 2) The effect of the product on the perceptions of students of the Islamic Economics program at IAIN Pontianak regarding Pro-Israel products. 3) The effect of religiosity on the perceptions of students of the Islamic Economics program at IAIN Pontianak regarding Pro-Israel products. The method used in this research employs a quantitative method. Data collection was conducted through the distribution of questionnaires to respondents. The data analysis used is panel data, and the hypothesis testing uses the coefficient of determination (R2), partial (t-test). The data used by the researcher is primary data that is then processed into secondary data, which includes halal certification, products, religiosity, and student perceptions. Data testing was also conducted with the help of SPSS 25 and Eviews 12 applications. The results of this study show: 1) The halal certification variable has a significant partial effect on student perceptions, as indicated by a t-statistic value of 1.6157 and a probability (p) of 0.0190. 2) The product variable has a significant partial effect on student perceptions, as indicated by a t-statistic value of 0.481082 and a probability value of 0.0314 < 0.05. 3) The religious variable has a significant partial effect on student perceptions, as indicated by a t-statistic value of 6.9607 and a probability of 0.000 < 0.05.

This study investigates the impact of Environmental, Social, and Governance (ESG) Risk Ratings on stock prices of companies listed in the ESG Leaders Index on the Indonesia Stock Exchange during the period 2020–2023. Using the Ohlson (1995) valuation model as the theoretical framework, the research examines the value relevance of financial information—proxied by Book Value per Share (BVPS) and Earnings per Share (EPS)—and non-financial information in the form of ESG risk ratings. The study employs purposive sampling, resulting in an unbalanced panel dataset of 120 firm-year observations. Panel regression analysis with the Random Effect Model (REM) is applied, supported by classical assumption tests and sensitivity analysis. The findings reveal that BVPS has a positive and significant effect on stock prices, highlighting its role as a stable and value-relevant measure for investors. By contrast, EPS shows a positive but insignificant relationship, confirming the declining relevance of earnings in the Indonesian market. Moreover, ESG Risk Ratings exhibit a negative but statistically insignificant effect, suggesting that while firms with higher ESG risks tend to be valued lower, sustainability considerations are not yet consistently incorporated into equity valuation by Indonesian investors. These results imply that financial fundamentals, particularly BVPS, remain the dominant factor in stock price determination, whereas ESG information has not yet achieved value relevance in the Indonesian context. The study underscores the need for stronger regulatory enforcement, standardized ESG disclosure, and greater investor awareness to enhance the integration of sustainability risks into capital market decision-making.

The purpose of this research is to examine and ascertain how capital structure and growth affect company value in FBM KLCI businesses listed on Bursa Malaysia between 2019 and 2023, dividend policy being used as a moderating factor.  The study's sample consists of 16 FBM KLCI firms that were listed on Bursa Malaysia between 2019 and 2023.  The secondary data utilized was gathered from Bursa Malaysia's website and financial statement documentation studies.  Descriptive analysis, panel data regression analysis, MRA, traditional assumption testing, and hypothesis testing are among the data analysis methods used.  Eviews Version 13 was used to process the data for this investigation.  According to the study's findings, for the 2019–2023 timeframe, capital structure significantly and favorably affects company value in FBM KLCI businesses listed on Bursa Malaysia.  In these businesses, growth has no bearing on firm value.  In FBM KLCI businesses listed on Bursa Malaysia for the 2019–2023 timeframe, both the correlation between capital structure and company value and the effect of growth on firm value are unaffected by dividend policy.

The financial sector plays an important role in promoting Indonesia's economic recovery. This study was conducted to determine the effect of credit to priority sectors on economic growth on the island of Sumatera. The data analysis technique used is dynamic panel data regression analysis with the system-GMM approach. The results of this study indicate that credit for the agricultural, forestry, and fishery sectors; manufacturing sector; the accommodation and food and drink provision sector can increase economic growth on the island of Sumatera, while the construction sector credit; wholesale and retail trade sector; and the transportation and warehousing sectors have a negative influence on economic growth. This shows that the credit of the banking sector has a positive and negative influence on economic growth on the island of Sumatera. Therefore, banks and the government are expected to increase financial literacy to the community and improve internet facilities, especially in rural areas.