Publication Search

This article examines the role of context and underlying assumptions in the formulation of econometric models for economic policy analysis. While econometric models are widely employed to support policy decisions, their construction is often treated as a purely technical process, overlooking the contextual factors that shape variable selection, model specification, and interpretation of results. This study explores how institutional settings, policy objectives, and behavioral considerations influence the assumptions embedded in econometric modeling. By drawing on policy documents, academic literature, and illustrative cases from applied economic research, the article highlights how implicit assumptions may affect the validity and relevance of econometric outcomes. The analysis emphasizes that econometric models are not value-neutral tools but are shaped by theoretical choices and contextual judgments made during their formulation. Understanding these dimensions is crucial to avoid misinterpretation of empirical findings and to enhance the usefulness of econometric analysis in policymaking. The study contributes to the methodological discussion in applied econometrics by encouraging greater transparency and reflexivity in model construction, particularly in the context of economic policy evaluation.      

The increasing consumption of packaged food products in Indonesia reflects modern lifestyle changes but simultaneously raises public health concerns related to high calorie, sugar, and fat intake. Nutritional information presented on food labels consists of multiple interrelated variables, making it difficult to identify dominant nutritional factors that characterize packaged food products. This study aims to apply Principal Component Analysis (PCA) to reduce the dimensionality of nutritional data and to map the nutritional characteristics of packaged food products in Indonesia. The research employs a quantitative exploratory approach using secondary data obtained from nutrition facts labels of 1,651 packaged food products. Seven nutritional variables were initially analyzed, namely total energy, protein, total fat, total carbohydrates, sugar, sodium, and dietary fiber. Data preprocessing included data cleaning, Z-score standardization, and iterative variable selection based on the Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s Test of Sphericity to ensure sampling adequacy and sufficient correlation among variables. Variables with low sampling adequacy and perfect multicollinearity were eliminated, resulting in five variables retained for the final PCA model. Principal components were extracted using the eigenvalue greater than one criterion and confirmed through a scree plot, followed by Varimax rotation to enhance interpretability. The results indicate the formation of two principal components explaining approximately 69.7% of the total variance. The first component represents energy density and macronutrient richness, while the second component reflects carbohydrate-related characteristics, particularly the contrasting pattern between sugar and dietary fiber. Biplot visualization further illustrates product distribution based on these components. The findings demonstrate that PCA effectively simplifies complex nutritional information and provides a clear nutritional mapping of packaged food products, offering practical insights for consumers, producers, and policymakers in supporting healthier food choices in Indonesia.

This study explores the impact of work–life balance on job performance among Generation Z employees in Jakarta, with job satisfaction as a mediating variable and family-supportive supervisor behavior as a moderating variable. Generation Z, the largest segment of Indonesia's workforce, values flexibility and supportive leadership, but their job performance often shows inconsistency. Previous studies have yielded mixed results on the relationships between work–life balance, job satisfaction, and job performance, with limited empirical evidence on the role of family-supportive supervisor behavior, particularly in Indonesia. Using a quantitative approach, data were collected from 385 Generation Z employees in Jakarta through purposive sampling. Structural Equation Modeling (SEM) with SmartPLS 4.0 was used for data analysis. Results indicate that work–life balance positively influences both job satisfaction and job performance. Additionally, job satisfaction partially mediates the relationship between work–life balance and job performance, suggesting that a better work–life balance enhances job satisfaction, which in turn improves performance. The study also shows that family-supportive supervisor behavior significantly strengthens the positive effect of work–life balance on job performance. These findings contribute to the literature by clarifying how work–life balance affects job performance among Generation Z employees and highlighting the importance of supportive leadership.

Aceh Tamiang Regency is an area with a high risk of annual flooding. This emergency condition often triggers a surge in environment-related diseases such as skin diseases, respiratory infections, and diarrhea. The success of managing health crises heavily depends on pharmaceutical logistics management, especially the availability of essential medicines and ease of access for refugees at evacuation points. This study aims to analyze the extent of medicine availability at community health centers and health posts, as well as to evaluate the barriers to medicine accessibility for flood victims in Aceh Tamiang Regency. This study uses a qualitative/quantitative descriptive method (choose one) with a case study approach. Primary data were collected through in-depth interviews with pharmaceutical logistics officers and surveys of flood survivors. Secondary data were obtained from the drug stock reports of the Aceh Tamiang District Health Office. Analysis was conducted on variables such as drug types, stock amounts (Buffer Stock), and distribution channels during the emergency response period. The results of the study indicate that the availability of drugs in the initial disaster phase tends to be (state the prediction, e.g., sufficient/limited). However, accessibility is often hindered by damaged road infrastructure and uneven distribution to remote posts. There is an urgent need to strengthen the logistics early warning system so that the types of medicines available match the disease patterns that emerge after floods. Although medicine stocks are generally available in central pharmacy warehouses, geographical constraints and distribution coordination are the main factors hindering accessibility. It is recommended that local governments map out alternative distribution routes and provide disaster-specific buffer stock of medicines at the sub-district level.

The majority of Kebomas District's residents are connected to working hours during government office hours (Monday through Friday), which creates access obstacles in administering public services due to the high population density and busy community life. In response to these time constraints, the SOS MAS (Service On Saturday in Kebomas District) invention was introduced, which offers services on Saturdays. However, the implementation of this innovation still faces challenges in the form of a low social integration rate and a restricted range of public services that have the potential to sway public opinion. The goal of this research is to assess how the SOS MAS innovation affects community happiness in Kebomas District. A quantitative technique with an associative approach is used in this research. Through an unintentional sampling method, questionnaires were given to 86 individuals in order to gather primary data. With the aid of SPSS, the determinant coefficient and a simple linear regression test were used to analyze the data. The study's findings reveal that the SOS MAS invention has a favorable and substantial influence on community happiness. The regression coefficient of 0.969 and a significance level of 0.000 <0.05 support this. The innovation variable accounted for 59.7% of public happiness, while the remaining 40.3% was impacted by variables not included in the study model, according to the coefficient of determination (R2) test. This result supports the notion that the efficacy of service innovation outside of working hours is a major element in boosting happiness for individuals with limited time. The SOS MAS innovation has been shown to greatly improve public satisfaction. Agencies are encouraged to improve their communication and outreach efforts as well as create SOS MAS innovations that maximize the advantages of innovations that meet community needs.

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.

Employee performance is a key factor in determining organizational success in achieving its strategic objectives. Various management studies indicate that employee performance is not solely influenced by individual factors, but is also significantly affected by organizational factors, particularly organizational planning and organizational structure. Effective organizational planning provides a clear direction and strategic framework that guides employees in performing their tasks, while an appropriate organizational structure facilitates coordination, clarifies authority, and supports the efficient execution of work. This study aims to analyze the influence of organizational planning and organizational structure on employee performance through a systematic literature review approach. The research method employed is a systematic literature review by examining relevant national and international journal articles published within the last ten years. Data were collected from reputable academic databases to ensure the credibility and relevance of the sources. The selected studies were analyzed qualitatively to identify patterns, relationships, and key findings related to the research variables. The results of the literature review indicate that systematic and well-formulated organizational planning contributes positively to improving goal clarity, work coordination, and employee motivation. Furthermore, an organizational structure that is aligned with organizational strategies plays an important role in clarifying task distribution, authority lines, and overall work effectiveness. The findings also reveal that organizational planning and organizational structure are interrelated and mutually reinforcing in shaping employee performance. This study concludes that the integration of organizational planning and organizational structure is a crucial factor in enhancing sustainable employee performance. The results of this study are expected to provide both theoretical contributions to organizational management studies and practical references for organizations in designing effective management systems.  

Drug abuse is a serious global public health problem, with the prevalence in Indonesia reaching 1.73% or about 3.33 million people in 2023, mainly among those aged 15–24 years. Understanding the psychological determinants of this behavior is crucial to enhance prevention and rehabilitation efforts. Objective: To analyze determinants of drug abuse behavior based on the Health Belief Model (HBM) through a literature review of studies published between 2015 and 2025. Methods: A literature review of 8 academic articles from Google Scholar and PubMed, limited to open‑access Indonesian- and English‑language journals examining HBM constructs related to drug abuse and rehabilitation participation. Results: HBM variables were generally associated with drug abuse behavior and rehabilitation adherence, with self‑efficacy emerging as the most consistent determinant, followed by perceived susceptibility and perceived severity. Perceived barriers, especially complex administrative procedures, distance, costs, and stigma, were identified as major obstacles to engaging in rehabilitation. Conclusion: The HBM is useful for mapping determinants of drug abuse behavior and highlights the need to strengthen self‑efficacy, risk perceptions, and barrier reduction within health promotion and community‑based rehabilitation programs.

Nickel has become a strategic mineral in the global industrial value chain, particularly for stainless steel production and electric vehicle battery manufacturing. As one of the world’s largest nickel producers, Indonesia has implemented a downstream industrialization policy aimed at increasing value added and strengthening export performance. This study analyzes the effects of international nickel prices, destination countries’ GDP per capita, exchange rates, and the downstreaming policy on the value of Indonesia’s nickel exports (HS 75) over the period 2010–2023. The study employs a quantitative approach using panel data regression with secondary data covering five major export destination countries, namely China, Japan, South Korea, Thailand, and Singapore. Based on the Chow and Hausman tests, the Fixed Effects Model is selected as the most appropriate estimation technique, indicating the presence of country-specific heterogeneity among importing countries. The results show that destination countries’ GDP per capita and international nickel prices have a positive and statistically significant effect on Indonesia’s nickel export value. The downstreaming policy dummy variable also exhibits a positive and significant impact, suggesting that the nickel ore export ban implemented since 2020 has effectively shifted export composition toward higher value-added processed nickel products. In contrast, exchange rates are found to have no significant effect on export performance. Overall, the findings provide empirical evidence supporting the effectiveness of Indonesia’s downstream industrialization policy and highlight the importance of global demand conditions in driving the performance of processed nickel exports.

Corporate financial performance is an important factor in maintaining business sustainability amid increasingly intense competition. One of the commonly used indicators of financial performance is Return on Assets (ROA), which reflects a company’s ability to generate profits through the efficient use of its assets. Corporate profitability is influenced by various internal factors, including capital structure and liquidity. This study aims to analyze the effect of Debt to Equity Ratio (DER) and Current Ratio (CR) on Return on Assets (ROA). This research employs a quantitative approach using secondary data obtained from corporate financial statements. The research sample consists of 36 observations selected through purposive sampling. Data analysis techniques include descriptive statistical analysis and multiple linear regression analysis using SPSS software. The results show that, partially, the Debt to Equity Ratio does not have a significant effect on Return on Assets, while the Current Ratio has a positive and significant effect on Return on Assets. Simultaneously, Debt to Equity Ratio and Current Ratio have a significant effect on Return on Assets, with Current Ratio being the most dominant variable. The findings indicate that effective liquidity management plays a crucial role in improving corporate profitability. The implications of this study are expected to provide useful insights for corporate management in making financial decisions, particularly related to liquidity management and capital structure.

Leaf springs serve as vehicle weight supports and vibration dampers from uneven roads. Reducing vehicle weight can support fuel consumption reduction. The use of composite materials allows for a reduction in leaf spring weight without reducing load capacity and stiffness. The purpose of this study was to find the composition of composite leaf springs with a polyurethane matrix that were resistant to tensile and flexural tests using e-glass, epoxy, and polyurethane materials. This study used an experimental method, in which specimens were tested using a tensile and flexural testing machine. The variations included polyurethane matrices of 10%, 20%, and 30%. The data was statistically analyzed using Excel to determine the significant effect of the variables. The results showed the effect of polyurethane variation on the composite. The tensile test showed that the greatest tensile stress was on the 30% polyurethane specimen at 1.574 N/mm² and the smallest was on the 10% specimen at 7.007 N/mm². In the flexural test, the greatest effect on flexural strength was observed in the 30% specimen at 14.36 MPa and the smallest in the 10% specimen at 25.82 MPa. Without the addition of polyurethane, the tensile stress was 39.678 N/mm² and the flexural strength was 157.09 MPa. Conclusion: The addition of polyurethane reduces the mechanical strength of composite leaf spring material without polyurethane addition.

Mr. Ujang Cracker Factory, located in Pakiskembar Village, Pakis District, Malang Regency, is one of the UMKM that produces crackers. Most of the machines used in cracker processing at Mr. Ujang Cracker Factory still use a simple mechanical system. One of these machines is a cracker molding machine, where the speed is still adjusted manually by replacing the pulley. This study aims to recondition the cracker molding machine by adding a control panel in the form of a VSD inverter with the aim of facilitating the speed control process in operating the cracker molding machine. This study was conducted by analyzing the consistency of the influence of frequency and pulley diameter variations on the speed of the electric motor and mechanical movements in the cracker molding machine. The results of the study show that the frequency of the VSD inverter and the pulley diameter have a significant effect on the entire mechanism of the cracker printing machine. Based on the standard deviation value, the consistency of the pressing movement speed was obtained at a frequency of 40 Hz with a pulley diameter of 2 inches. From this study, it can be concluded that the overall frequency of the VSD inverter is the main parameter in determining the speed and stability of the cracker printing machine. Meanwhile, the variation in pulley diameter only serves as an additional mechanical adjustment to increase or decrease the output speed from the electric motor to the mechanical movement of the cracker printing machine.

This study aims to: (1) Describe and analyze the influence of memorization of the Qur'an on the emotional intelligence of students at the Integrated Islamic Private Middle School of Al-Furqan Tebas Islamic Boarding School, Sambas Regency, (2) Describe and analyze the influence of memorization of the Qur'an on the spiritual intelligence of students at the Integrated Islamic Private Middle School of Al-Furqan Tebas Islamic Boarding School, Sambas Regency. This study is a descriptive quantitative study with a causal associative research type (cause and effect). In this study, there are 3 variables, namely the first variable is memorization of the Qur'an, the second variable is emotional intelligence and the third variable is students' spiritual intelligence. The population with research subjects are 40 students of class VIII of the Integrated Islamic Private Middle School of Al-Furqan Tebas Islamic Boarding School. Data collection using the questionnaire method. Instrument validity test using the product moment analysis technique, while reliability test using the alpha coefficient. The data analysis technique used multiple regression analysis. Prior to data analysis, a normality test was conducted. The results of the study indicate that: (1) There is a positive and significant effect of Quran memorization on emotional intelligence, with a magnitude of 0.388 (38.8%), with the remainder influenced by other factors. (2) There is a positive and significant effect of Quran memorization on spiritual intelligence, with a magnitude of 0.376 (37.6%), with the remainder influenced by other factors.

This research aims to examine the influence of store atmosphere, brand awareness, and lifestyle on purchasing decisions at Kobapa Store in Delitua District. This study uses a quantitative research method with a questionnaire research design. The subject of this research is the products of Kobapa Store, and the object of the study is consumers who purchase products at Kobapa Store, totaling 97 respondents. Data collection techniques include observation, questionnaires, and documentation. Data analysis techniques involve validity tests, reliability tests, and classical assumption tests. The data analysis method used is multiple linear regression with the assistance of SPSS 25 software. The t-test results show that store atmosphere has a positive effect on purchasing decisions. Brand awareness has a positive effect on purchasing decisions. Lifestyle also influences purchasing decisions. The F-test results indicate that store atmosphere, brand awareness, and lifestyle simultaneously affect purchasing decisions at Kobapa Store in Delitua District, with an F calculated value of 4.141 > F table value of 2.700, and a significance value of 0.008 < 0.05. The adjusted coefficient of determination (R Square) is 0.338, meaning that 33.8% of the dependent variable can be explained by the independent variables, while the remaining 66.2% is explained by other variables outside the ones studied.

The rapid growth of digital marketplaces has fundamentally transformed consumer decision-making processes by intensifying price transparency, product comparability, and information exposure. In highly competitive marketplace environments, consumers are frequently confronted with numerous product alternatives and dynamic pricing structures, which shape how they evaluate options and ultimately decide to purchase. This study examines the effects of product variety and price perception on consumers’ purchase decisions in the context of ROSCA tumbler products sold on the Shopee marketplace. Using a quantitative explanatory approach, this research employs a survey-based design to analyze the relationships among variables and to estimate their relative effects through multiple linear regression analysis. Data were collected from 100 respondents who had previously purchased ROSCA tumblers on Shopee, selected using purposive sampling based on predefined criteria. The research instrument consisted of 15 Likert-scale items measuring product variety, price perception, and purchase decision. Data analysis included descriptive statistics, instrument validity and reliability testing, regression assumption diagnostics, and hypothesis testing using both partial (t-test) and simultaneous (F-test) procedures. The findings reveal that product variety has a positive and significant effect on purchase decisions, indicating that consumers are more likely to finalize purchases when they perceive product options as sufficiently diverse, relevant, and comparable. Price perception also exerts a positive and significant influence and demonstrates a stronger relative effect compared to product variety. This result underscores the central role of perceived price fairness, competitiveness, and value-for-money in shaping purchase decisions within transparent and highly competitive marketplace settings. Simultaneously, product variety and price perception explain a substantial proportion of variance in purchase decisions, highlighting their combined importance as key marketing stimuli. These findings contribute to the literature on digital consumer behavior by providing empirical evidence from a specific marketplace–product context and offer practical implications for sellers and brand managers in optimizing assortment design and pricing strategies to enhance conversion rates in online marketplaces

This study aims to determine the effect of price and service quality on customer satisfaction of members of the Merah Putih Candiroto Village Cooperative, Kendal District, Kendal Regency. This study uses a quantitative approach, associative research type, with a sample of members of the Merah Putih Candiroto Village Cooperative, Kendal. The sampling method was carried out using a saturated sampling technique. The total sample in this study was 137 respondents. The variables in this study were independent variables: price and service quality, and the dependent variable: customer satisfaction of members of the Merah Putih Candiroto Village Cooperative, Kendal. Testing in this study used instrument testing, classical assumption testing, and hypothesis testing with multiple regression tests using SPSS Version 25. The results of this study indicate that partially the price has a positive and significant effect on customer satisfaction of members of the Merah Putih Village Cooperative, Candiroto, Kendal with a t-count of 3.418 greater than the t-table of 0.1678 and a significant value of 0.001 smaller than the significance level of 0.05. And the quality of service partially has a positive and significant effect on customer satisfaction of members of the Merah Putih  Village Cooperative, Candiroto, Kendal with a t-count of 3.643 greater than the t-table of 0.1678 and a significant value of 0.000 smaller than the significance level of 0.05. Price and service quality simultaneously have a positive and significant effect on customer satisfaction of members of the Merah Putih Village Cooperative, Candiroto, Kendal, with F count of 715.041 greater than F table of 0.1678 with a significance of 0.000 smaller than the significance level of 0.05. The Adjusted R square result of 0.913 indicates that 91.3% of customer satisfaction of members of the Merah Putih Village Cooperative, Candiroto, Kendal, is influenced by price and service quality whose influence was tested in this study, while the remaining 8.7% is influenced by other variables not examined in this study.

Leaf springs serve as vehicle weight supports and vibration dampers from uneven roads. Reducing vehicle weight can support fuel consumption reduction. The use of composite materials allows for a reduction in leaf spring weight without reducing load capacity and stiffness. The purpose of this study was to find the composition of composite leaf springs with a polyurethane matrix that were resistant to tensile and flexural tests using e-glass, epoxy, and polyurethane materials. This study used an experimental method, in which specimens were tested using a tensile and flexural testing machine. The variations included polyurethane matrices of 10%, 20%, and 30%. The data was statistically analyzed using Excel to determine the significant effect of the variables. The results showed the effect of polyurethane variation on the composite. The tensile test showed that the greatest tensile stress was on the 30% polyurethane specimen at 1.574 N/mm² and the smallest was on the 10% specimen at 7.007 N/mm². In the flexural test, the greatest effect on flexural strength was observed in the 30% specimen at 14.36 MPa and the smallest in the 10% specimen at 25.82 MPa. Without the addition of polyurethane, the tensile stress was 39.678 N/mm² and the flexural strength was 157.09 MPa. Conclusion: The addition of polyurethane reduces the mechanical strength of composite leaf spring material without polyurethane addition.

This study aims to analyze the effect of workload on employee loyalty at the Class I TPI Immigration Office in Jambi, with performance allowance policies acting as a mediating variable. The research employed a quantitative approach involving 88 respondents selected from the total employee population. Data were collected through structured questionnaires and analyzed using statistical methods to examine both direct and indirect relationships among variables. The results indicate that employees generally perceive their workload as being at a moderate level; however, workload has a significant negative effect on employee loyalty. In contrast, performance allowance policies demonstrate a significant positive influence on loyalty. Furthermore, the findings reveal that performance allowance policies partially mediate the relationship between workload and employee loyalty, indicating their role in mitigating the negative impact of workload. These results suggest that effective performance allowance policies can enhance employee loyalty despite increasing workload demands. Therefore, organizations should balance workload management with fair and performance-based compensation policies to maintain employee loyalty.

General practitioners play a crucial role in the delivery of healthcare services in public hospitals, where limited organizational resources and high service demands often place significant pressure on medical personnel. These conditions may disturb work–life balance, increase the risk of burnout syndrome, and ultimately lead to higher turnover intention. This study aimed to analyze the effect of work–life balance on turnover intention, with burnout syndrome acting as an intervening variable among general practitioners at RSUD Balaraja. An observational analytic design with a cross-sectional approach was applied, involving all 40 general practitioners working in the emergency department and inpatient units through a total sampling technique. Data were collected using standardized instruments, namely the Work–Life Balance Scale, Maslach Burnout Inventory, and the Intention to Quit Questionnaire. Data analysis was conducted using Spearman correlation and Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results revealed a significant relationship between work–life balance and burnout syndrome, as well as between work–life balance and turnover intention. Burnout syndrome was also significantly associated with turnover intention. Further analysis showed that work–life balance had both direct and indirect effects on turnover intention, with burnout syndrome partially mediating this relationship. In conclusion, work–life balance and burnout syndrome are important determinants of turnover intention among general practitioners. Therefore, hospital management should prioritize strategies such as workload regulation, enhanced organizational support, and burnout prevention to retain medical staff and maintain the quality of healthcare services in public hospitals.

This study aims to develop an effective predictive model for identifying students at risk of academic dropout using the Decision Tree and Linear Regression algorithms. The data used are sourced from the public Kaggle dataset Students Dropout and Academic Success, which includes demographic, socioeconomic, and academic performance variables for each semester. The research method includes data preprocessing stages, such as data cleaning, label encoding for categorical variables, numeric feature normalization, and target class adjustment to focus on binary classification, namely Dropout and Graduate. The modeling process is carried out by comparing the performance of the two algorithms using evaluation metrics of accuracy, precision, and recall. The results show that the Decision Tree algorithm has superior performance compared to Linear Regression in mapping non-linear patterns in student data. Feature importance analysis revealed that the number of curricular units in the second semester and tuition payment status are the main predictors of dropout risk. These findings are expected to assist educational institutions in implementing early interventions to improve student academic success.