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The plantation sector is one of the main pillars in Indonesia’s international trade. Commodities such as palm oil, rubber, coffee, and cocoa serve as leading export products that contribute significantly to the country’s foreign exchange earnings. This study aims to analyze the role of plantation commodity exports in Indonesia’s international economic performance and to identify the challenges faced. The method used is a descriptive qualitative approach through literature review from various scientific sources. The results indicate that plantation exports contribute substantially to economic growth, employment generation, and the stability of the trade balance. However, several challenges persist, including global price fluctuations, sustainability issues, and international trade barriers. Therefore, strategic policies are required to enhance the competitiveness of Indonesia’s plantation commodities in the global market.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

The purpose of this study was to determine the direct effect of personality characteristics and intellectual abilities on employee performance in the digital era and competence, the effect of competence on performance, and the indirect effect of personality variables and intellectual abilities on employee performance in the digital era through competence as an intervening variable in BPSDM Jambi Province. The type of research used is quantitative research with primary and secondary data. Sampling used a simple random sampling technique so that 65 employees were selected as respondents. Data collection used a questionnaire and data analysis used Smart PLS. The results of the analysis showed that personality characteristics directly affect performance and competence with a significance value of P <0.05, intellectual abilities do not affect performance and competence with a significance value of P>0.05, and competence does not affect the performance of BPSDM Jambi Province employees in the digital era with a significance value of P>0.05. Furthermore, the direct effect shows that employee competence does not mediate the influence of personality characteristics and intellectual abilities on employee performance. This shows that personality characteristics and intellectual abilities do not affect performance through employee competence as an intervening variable.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.

This study examines the influence of work discipline, employee motivation, and work environment on employee performance at the Office of Women Empowerment, Child Protection, Population Control, and Family Planning (DP3AP2KB) of Batam City. The research applies a quantitative approach with an associative design to determine the relationship and influence among variables. Data were collected from all employees using a structured questionnaire that had been tested for validity and reliability to ensure the accuracy of the research instrument. The analysis technique used is multiple linear regression to evaluate both partial and simultaneous effects of the independent variables on employee performance. The findings indicate that work discipline, motivation, and work environment collectively contribute significantly to improving employee performance. Individually, each variable also shows a meaningful and positive effect, reflecting the importance of both internal and external factors in shaping employee outcomes and productivity. These results imply that strengthening discipline, enhancing employee motivation, and creating a supportive, comfortable, and conducive work environment are essential strategies for improving organizational performance and achieving institutional goals effectively. Therefore, organizations are encouraged to implement policies and programs that support employee development, maintain a positive work atmosphere, and improve overall work quality in a sustainable manner.

This study aims to examine the effect of job stress and organizational support on employee performance at Bank Pembangunan Daerah Jambi, Sengeti Branch. This research uses a quantitative method with a survey approach. The population in this study consisted of all employees of Bank Pembangunan Daerah Jambi Sengeti Branch totaling 33 employees. Data were collected through questionnaires using a Likert scale. Data analysis was conducted using multiple linear regression analysis preceded by instrument testing (validity and reliability) and classical assumption tests including normality, multicollinearity, and heteroscedasticity tests. The results show that job stress has a positive and significant effect on employee performance with a significance value of 0.009 (< 0.05). Organizational support also has a positive and significant effect on employee performance with a significance value of 0.003 (< 0.05). Simultaneously, job stress and organizational support significantly influence employee performance with a significance value of 0.024 (< 0.05). The coefficient of determination (R²) value of 0.821 indicates that 82.1% of the variation in employee performance can be explained by job stress and organizational support variables, while the remaining 17.9% is influenced by other variables outside this study.

Amid intense market competition, the profitability of manufacturing companies is not solely determined by sales volume but is highly dependent on the precision of financial management, particularly in managing the working capital cycle and operating cash flow circulation. This study aims to evaluate the relationship between Working Capital Turnover (X1) and Operating Cash Flow (X2) on Profitability (Y) in consumer goods industry companies listed on the Indonesia Stock Exchange during the 2022–2024 period. Using a quantitative approach and multiple linear regression analysis, this study processes 77 observations that have passed purposive sampling and outlier testing. The partial test results reveal contrasting findings: Working Capital Turnover (X1) does not have a significant effect on profitability, while Operating Cash Flow (X2) is proven to be a strong positive determinant. However, simultaneously, both variables have a significant influence on the financial performance of companies (Fhitung 24,008 > Ftabel 3,08), with operating cash flow acting as the dominant driving factor of profit. The implications of these findings emphasize that to maintain profit stability, management should prioritize the availability of cash generated from core operations, while investors should be more attentive to cash flow trends as an indicator of fundamental financial health before making investment decisions.

This study was conducted to evaluate the impact of financial performance, capital structure, and good corporate governance on entities. The approach used is quantitative with a causal associative method. The research observations utilize secondary data sourced from the financial statements of entities listed on the stock exchange during the 2020–2023 period. The research sample was determined using a purposive sampling technique based on predefined criteria, totaling 160 observations. The analytical method employed is multiple linear regression, preceded by classical assumption tests. The results reveal that financial performance and good corporate governance have a positive and significant effect on the quality of financial statements, while capital structure has a significant negative effect. Simultaneously, the three independent variables are proven to significantly affect the quality of financial statements, with a coefficient of determination of 68%. These findings support agency theory and signaling theory in explaining the financial reporting behavior of entities. The implications of this study indicate that improving financial performance and implementing good corporate governance can enhance the quality of financial statements. Furthermore, optimal management of capital structure is also necessary to reduce the risk of financial statement manipulation.

This study was conducted to examine the effect of compensation on employee performance through a literature review approach. The background of this research is based on the importance of compensation as a factor that contributes to improving employee work outcomes. Compensation is not only considered as remuneration for work performed, but also as an element that can encourage motivation and productivity. The study applied a descriptive method using a literature review approach. The data used were secondary data obtained from 20 national scientific journals published since 2020, discussing compensation and employee performance. Data collection was carried out through library research by selecting, classifying, and reviewing relevant literature sources. Furthermore, the data were analyzed descriptively by interpreting findings from previous studies. The results indicate that 19 out of 20 journals reported a positive and significant relationship between compensation and employee performance. Therefore, it can be concluded that compensation plays an essential role in enhancing employee performance, making an effective compensation system a crucial aspect of human resource management.

This study is motivated by the importance of economic growth as a key indicator of regional development performance and public welfare improvement. Economic growth reflects the ability of local governments to manage resources and implement effective fiscal policies. This research aims to analyze the development and the influence of Local Own-Source Revenue, General Allocation Fund, and Special Allocation Fund on the economic growth of regencies/cities in Jambi Province during the period 2020–2024. The study employs a quantitative approach combined with descriptive analysis. Secondary data are obtained from official publications of relevant institutions and analyzed using panel data regression with the Common Effect Model approach. The results indicate that Local Own-Source Revenue and the General Allocation Fund have a significant effect on economic growth, showing that the increase in regional revenue and fiscal transfers contributes to economic performance. Meanwhile, the Special Allocation Fund does not have a significant effect, indicating that its allocation may not be optimally utilized in stimulating regional economic activities. These findings imply that strengthening regional fiscal capacity and improving the effectiveness of fund allocation are essential to promote sustainable economic growth. The study also highlights the need for better policy coordination and efficient financial management at the regional level to reduce disparities and enhance development outcomes.  

This study aims to analyze the influence of incentives and physical work environment on employee performance with motivation as a mediating variable at the Denpasar City Cultural Office. This study uses a quantitative approach with a survey method. The research population was all employees of the Denpasar Cultural Office totaling 54 people, all of whom were sampled using saturated sampling techniques. Data were collected through a questionnaire with a Likert scale and analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results of the study showed that incentives had a positive and significant effect on employee performance, while the physical work environment did not have a significant effect on employee performance. In addition, motivation has a positive and significant effect on employee performance. Mediation testing showed that motivation was able to mediate the influence of incentives on employee performance, but was unable to mediate the influence of the physical work environment on employee performance. These findings indicate that improving employee performance is more effective through providing the right incentives and increasing work motivation compared to improving the physical work environment alone.

Sustainability accounting plays a very important role for companies, especially in managing the operational impacts on the environment and the surrounding community. Therefore, the implementation of sustainability accounting has a significant impact, particularly in the banking industry sector. This study aims to analyze the effects of implementing sustainability accounting in the banking sector, with Bank Mandiri as a case study. The method used in this research is a qualitative approach, focusing on the paradigm and analyzing the causes and effects of the implementation of sustainability accounting. The results show that the implementation of sustainability accounting affects the operations of Bank Mandiri, especially in efforts to reduce the negative impacts on the environment and society. One of the steps taken by Bank Mandiri is integrating sustainability principles into its operational strategy. Based on these findings, it is recommended that Bank Mandiri continue to strive to improve the company's environmental performance and expand sustainability programs that have a positive impact on society and the environment. In this way, the company can create long-term value not only for internal stakeholders but also for the broader community and the environment.

This study aims to analyze the influence of workforce agility, job satisfaction, and job engagement on employee adaptive performance at PT. MMT Buana Logistik. The dynamic logistics industry requires employees who have high adaptability to technological changes and operational demands. This type of research is quantitative causality with an explanatory approach. The population in this study were all employees of PT. MMT Buana Logistik, totaling 49 people, with the sampling technique used saturated sampling (census). Data were collected through questionnaires with a 5-point Likert scale. Data analysis techniques used included instrument testing (validity and reliability), testing of classical assumptions (normality, multicollinearity, and heteroscedasticity), and multiple linear regression analysis. Hypothesis testing was carried out through t-tests (partial), F-tests (simultaneous) and coefficient of determination (R2). The results showed that workforce agility, job satisfaction, and job engagement partially and simultaneously have a positive and significant influence on employee adaptive performance. These findings imply the importance of managing work flexibility, fulfilling employee satisfaction, and increasing work engagement to build adaptive human resources to support company competitiveness in the logistics industry.  

Strawberries are horticultural commodities that are highly susceptible to postharvest deterioration due to their high respiration rate, microbial activity, and oxidative degradation, resulting in a relatively short shelf life. This study aimed to evaluate the effectiveness of edible coatings in extending strawberry shelf life through a systematic literature review (SLR) approach. Literature was collected from several scientific databases using keywords related to edible coating, shelf life, and strawberry, covering publications from 2019–2026. From an initial 109 articles, a selection process based on inclusion and exclusion criteria resulted in 35 articles specifically discussing the application of edible coatings on strawberries. The synthesis results showed that all studies reported an extension of shelf life after edible coating application, although the effectiveness was influenced by the type of material, formulation, and storage conditions. Chitosan was the most widely used coating material due to its natural antimicrobial activity and excellent film-forming ability. The incorporation of bioactive compounds such as essential oils, plant extracts, and phenolic compounds was proven to enhance antifungal and antioxidant activities. In addition, nanotechnology-based systems demonstrated better preservation performance compared to conventional systems. However, methodological standardization and industrial-scale validation are still required to support commercial implementation.

This review article evaluates the physical characteristics and stability of Oil in Water (O/W) and Water in Oil (W/O) creams through a comparative literature study published between 2021 and 2026. The evaluation focuses on important parameters, including viscosity, spreadability, adhesion, pH, and accelerated stability testing. The findings reveal that O/W creams generally have lower viscosity and greater spreadability, making them more suitable for daily cosmetic and therapeutic applications due to their lighter texture and better aesthetic acceptance. In contrast, W/O creams demonstrate higher physical stability, stronger adhesion, and superior occlusive properties, which are beneficial for protecting sensitive active ingredients and maintaining skin hydration over longer periods. The differences in performance are strongly influenced by the optimization of emulsifier Hydrophilic-Lipophilic Balance (HLB) values and the ratio between oil and water phases. Both cream types show good biocompatibility with skin pH ranging from 4.5 to 6.5, indicating their safety and effectiveness for topical pharmaceutical and cosmetic formulations.

The implementation of Hospital Management Information Systems (HMIS) has become a strategic imperative to enhance operational efficiency amidst the ongoing global digital health transformation era. This study aims to analyze the determinants of successful HMIS implementation and its impact on service efficiency and patient outcome quality. Employing a narrative review approach with thematic synthesis of literature from PubMed, Scopus, and ScienceDirect databases between 2016-2026, the study evaluates the relationship between technology investment and organizational performance. The synthesis results indicate that while HMIS significantly reduces administrative burdens and medication errors, a "digital paradox" exists where technical efficiency may disrupt interpersonal interactions between healthcare providers and patients if systems are not user-centered. Key success factors include data interoperability (HL7/FHIR standards), human resource readiness, and governance policy support. This study concludes that a patient-centered efficiency model is the fundamental basis for ensuring technology investments yield sustainable added value within the healthcare delivery system.

This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

The objective of this study is to analyze the impact of work-related stress and the physical work environent on employeee perfornance at the Abdul Karim Medika Center Clinic. The reseearch method employed a quantittative aproach using a causal-associiative study design. The population consisted of 52 employees, while the selected sample conprised 46 employees chosen through simple random sampling. Data were collected through questionnaires, observations, and docunentation. It was found that work-related stress had a negative and significant impact on employee performance (R² = -0.340 and Sig. = 0.002 < 0.05). Meanwhile, the physical work environnent had a positive and significant impact on employee performance (R² = 0.528 and Sig. = 0.000 < 0.05). Concurrently, work stress and the physical work environment had a significant impact on employee perfornance (F calculated 30.621 and Sig. 0.000 < 0.05). The results of the coefficient of determination revealed that 68% of the variation in employee performance was explained by work stress and the physical work environment, while the remaining 32% was attributed to other factors.

This study aims to examine the level of regional financial independence and various financial ratios in assessing the performance of regency and city governments in the Special Region of Yogyakarta (DIY) for the 2019–2024 period. The method employed is a descriptive qualitative approach supported by quantitative data in the form of Budget Realization Reports (LRA). Performance measurement was conducted through several key indicators, including independence, effectiveness, efficiency, and growth ratios. The results indicate that the level of fiscal independence remains relatively low, characterized by a high dependency on transfer funds from the central government. On the other hand, the effectiveness ratio shows good achievement, as most regions were able to meet their revenue targets, particularly from Local Own-Source Revenue (PAD). However, the efficiency of expenditure management remains uneven across regions. Furthermore, the revenue growth ratio shows fluctuations influenced by economic conditions, including the impact of the pandemic. Overall, regional financial performance still needs to be improved, especially in strengthening fiscal independence and optimizing PAD potential.