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The COVID-19 pandemic has had a major impact on the sustainability of Micro, Small, and Medium Enterprises (MSMEs), including those in Lapadde Subdistrict, Parepare City. This study aims to identify the recovery strategies implemented by MSME actors during the 2022–2025 period, as well as the factors that support and hinder the recovery process. The research employed a descriptive qualitative method, with the study conducted in Lapadde Subdistrict on December 1, 2025. The sample consisted of five MSME actors selected through purposive sampling. Data were collected through interviews, observations, and documentation, and were then analyzed using data reduction, data presentation, and conclusion drawing techniques. The findings indicate that MSME actors have implemented recovery strategies such as product diversification, utilization of digital media, and cost efficiency, supported by local government programs. The main obstacles include limited capital and low digital literacy. Overall, MSME recovery is progressing positively but still requires continuous assistance and more equitable access to information to ensure sustainability.

This study aims to analyze the influence of work facilities, competence, and work conflict on employee productivity at UD Karya Pala Kediri, both partially and simultaneously. The research employed a quantitative approach with a causal associative design. The population consisted of 36 employees, all of whom were included as respondents using a saturated sampling technique. Data were collected through questionnaires using a five-point Likert scale and analyzed using validity, reliability, classical assumption tests, and multiple linear regression analysis. The results indicate that work facilities, competence, and work conflict have a positive and significant effect on work productivity, both partially and simultaneously, with a coefficient of determination (R²) value of 0.862. This means that 86.2% of the variation in work productivity is explained by these three variables, while the remaining 13.8% is influenced by other factors outside the research model. The findings highlight that improving employee productivity can be achieved through adequate work facilities, continuous competence development, and constructive conflict management within the workplace.

This study aims to analyze the influence of profitability as proxied by Return on Equity (ROE), solvency as proxied by Debt to Equity Ratio (DER), and liquidity as proxied by Current Ratio (CR) on firm value as proxied by Price to Book Value (PBV) in the Indonesian food and beverage sector. The study focuses on the 2019-2023 period, a timeframe uniquely defined by the economic disruption of the COVID-19 pandemic and its initial recovery phase. The research method employed is a quantitative approach using multiple linear regression analysis. The sample consists of 10 companies listed on the Indonesia Stock Exchange (IDX), selected through a purposive sampling technique, resulting in 50 firm-year observations. The results indicate that both partially and simultaneously, the variables of profitability, solvency, and liquidity have a significant positive influence on firm value. This finding suggests that during a period of systemic crisis, the capital market places a valuation premium on companies that can demonstrate holistic and comprehensive signals of financial health. The novelty of this research lies in its contextualization of the dynamic role of financial ratios as crucial signals amidst an unprecedented economic shock. This study provides an empirical explanation for why investors prioritized stability and resilience, thereby reconciling conflicting findings in prior literature regarding the impact of liquidity on firm value.

This study aims to analyze the influence of work-family conflict, job stress, and compensation on employee performance at PT Nusa Gas Pratiwi. A quantitative approach with a survey method was employed, and data were collected through questionnaires distributed to 35 permanent employees. The data were analyzed using multiple linear regression with SPSS software. The results indicate that work-family conflict, job stress, and compensation have a positive and significant effect on employee performance both partially and simultaneously. The coefficient of determination (R²) of 0.900 implies that these three variables explain 90% of employee performance variation, while 10% is influenced by other factors outside the model. These findings reinforce the Job Demand-Resource and Role Enrichment theories, suggesting that job stress and role conflict can become positive driving forces when balanced with fair compensation and organizational support. Therefore, maintaining equilibrium between psychological and economic factors is essential to enhance employee productivity and loyalty.

This study aims to analyze the prediction of financial distress using the Altman Z-Score, Springate, and Zmijewski methods at PT Sri Rejeki Isman Tbk in 2019-2023. This type of research is descriptive research with a quantitative approach. Using secondary data with documentation techniques and literature studies in the form of related company financial reports, books, articles, journals and other publications related to the research topic. The sampling technique was carried out using a purposive sampling method. The sample in this study was obtained using a purposive sampling technique and obtained as many as 5 financial reports from the company PT Sri Rejeki Isman Tbk for the period 2019-2023. The results of the study show that the results of calculations using the Altman Z-Score method indicate that in 2019-2023 PT Sri Rejeki Isman Tbk experienced fluctuations in the company consistently still in the category of bankruptcy, the Springate method shows that the company experienced a decline in its financial performance, and the Zmijewski method shows that companies that experience fluctuations in financial performance conditions, Although there are fluctuations in the X-Score value and improvements in certain years.

This research is motivated by significant fluctuations and a decline in profits for companies in the clothing and luxury goods subsector listed on the IDX for the period 2021-2023, indicating potential financial difficulties. This research aims to evaluate the company's condition using four prediction models, namely Altman-ZScore, Springate, Fulmer, and Taffler, and to determine the most suitable model for the sector. The method applied is quantitative comparative with a purposive sample of 11 companies, using financial statement data from 2021-2023 and analyzed using the formulas for each predictive model. The research findings indicate that the four models produce different predictions regarding the company's financial condition. Additionally, there are differences in the accuracy levels of the four models. The Springate and Taffler models achieved the highest accuracy rate of 85%, followed by Altman at 67% and Fulmer at 64%. The findings of this study confirm that the Springate model is the most reliable tool for early warning for companies and stakeholders, enabling faster preventive measures to prevent bankruptcy.

The purpose of this study is to identify the variables that affect profit growth.  Profit growth is the study's dependent variable, and premium income, claim payments, risk-based capital, and investment returns are its independent variables.  Information was gathered from insurance firms that were listed between 2019 and 2023 on the Indonesia Stock Exchange.  Ten businesses that satisfied specific requirements made up the study's sample.  To get a complete picture of the link between one variable and another, multiple linear regression analysis was employed as the study approach, with a 5% confidence level.  The factors Premium Income, Claim Payments, Risk-Based Capital, and Investment Returns all had a somewhat significant impact on Profit Growth, according to the partial test results. The factors Premium Income, Claim Payments, Risk-Based Capital, and Investment Returns all had a substantial impact on Profit Growth at the same time, according to the results of the simultaneous test.  It is anticipated that other businesses listed on the BEI will use the study's findings as a guide to focus more on financial ratios in order to boost their profits.

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.

This study models the inflation rate in Sumatra using Generalized Linear Models (GLM) with Gamma and Negative Binomial distributions. The data includes inflation rates, Consumer Price Index (CPI), poverty rates, and employment sectors from the 2019 BPS report. The results show that the Gamma model performs better in predicting inflation compared to the Negative Binomial model, with a lower AIC value and smaller residual deviance. The CPI variable significantly influences inflation, while other variables are not significant.

Social and economic welfare reflects the quality of life in a region and is influenced by local social, economic, and environmental factors. East Java, as the second most populous province in Indonesia, faces challenges in improving the welfare of its residents, particularly due to varying regional characteristics such as employment, education, and population demographics. To understand the patterns of interrelationships among factors affecting welfare, this study conducted a klaster analysis to group regions based on similar characteristics. The klaster analysis employed both hierarchical (complete linkage) and non-hierarchical (K-means) approaches to determine the optimal number of klasters. The results revealed that the level of diversity across regions in East Java tends to be homogeneous in social and economic aspects, with average values exceeding standard deviations. Assumption tests for the klaster analysis confirmed that the data met the assumptions of multivariate normal distribution and dependency.Through hierarchical (complete linkage) and non-hierarchical (K-means) klaster analysis, two main klasters were formed, dividing districts/cities in East Java based on welfare characteristics. Using the complete linkage method, 27 regions were grouped into klaster 1, and 11 regions into klaster 2, while K-means grouped 26 regions into klaster 1 and 12 regions into klaster 2. Out of the six variables used, one variable was found to be insignificant in influencing the klastering results. Based on the mapping results, the grouping aligns with similar criteria, where urban areas predominantly fall into one klaster, and the other klaster is dominated by rural areas.

This article aims to provide theoretical and practical insights into conflict management to support leaders and managers in managing conflict effectively in various contexts and provide a comprehensive understanding of conflict management through a literature review of the sources, symptoms, and causes of conflict. Conflict that occurs in an organization can hinder the achievement of desired goals, therefore conflict needs to be managed properly so that its impact can be minimized, organizational conflict can also be interpreted as a conflict that arises when the goal-oriented behavior of one group conflicts with or is threatened by the goals of another group. This study uses a literature study method to analyze various concepts of conflict management that have been put forward by experts. The results of the study show that conflict, whether in a positive, negative, or neutral sense, is an unavoidable phenomenon. The source of conflict can come from various factors that trigger differences and clashes between individuals, groups, or organizations. Conflict also occurs due to misunderstandings or incompatibilities between individuals or groups in an effort to achieve their goals, this is often referred to as a causal factor. The impact of conflict actually depends on its nature. On the one hand, well-managed conflict can improve the quality of decisions, encourage active involvement in discussions, and strengthen group cohesion. However, on the other hand, conflict can also drain members' energy, disrupt productivity, and cause hostility that hinders collaboration. Abstract and Keywords must be written in English, in italic style, and contain a brief description of the research background, objectives, methods, findings, and implications. The abstract is written in one paragraph with a single space (maximum 200 words), without any reference or formula.

One of the most important instruments in economics is the sharia market which offers alternative investment options in accordance with Islamic sharia principles. The purpose of this study is to explain the concept of the Indonesian sharia market, the mechanisms involved, and the potential and challenges faced during its development. The method used in this study is a literature study using qualitative descriptive analysis, namely analyzing various factors, laws, and current developments related to the sharia market. The findings of this study indicate that the Indonesian sharia market has experienced significant growth due to stricter regulations from the Financial Services Authority (OJK) and the National Sharia Council-Indonesian Ulema Council (DSN-MUI). However, there are still several problems in this market, such as the lack of public understanding of sharia principles and gaps in available sharia products. Nevertheless, the Indonesian sharia capital market has a lot of potential, including the ability to increase public awareness of sharia investment and the various investment products available.

The development of Micro, Small and Medium Enterprises (MSMEs) has a strategic role in improving community welfare, especially in rural areas. This research aims to analyze the strengths, weaknesses, opportunities and threats (SWOT) faced by coconut processing MSMEs in Gesikharjo Village, Palang District. Data was collected through in-depth interviews with MSME actors, field observations, and document analysis. The research results show that the main strengths of these MSMEs are the availability of local raw materials and community support. However, weaknesses such as technological and management limitations are still challenges. Opportunities such as increasing demand for processed coconut products in local and national markets provide bright prospects, although threats such as price competition and global market fluctuations still need to be watched out for. Research recommendations include strengthening the managerial capacity of MSME players, product innovation, and collaboration with the government and private sector to create a sustainable business ecosystem.

The purpose of this study was to determine and analyze the effect of work experience and workload on employee performance at PT. Astra Honda Motor Unaaha. The location of this study was conducted at the showroom of PT. Astra Honda Motor Unaaha, which is located in Tumpas Village, Unaaha District, Konawe Regency. In this study, all populations were sampled, namely 30 employees. To measure the effect of work experience and workload on employee performance, a measuring instrument in the form of a questionnaire was used, the answer categories for questions using the Likert Scale. Work experience and workload have a significant effect on employee performance, this means that the more work experience and balanced workload will increase employee performance, where the partial test of the work experience variable (X1) obtained a t significance of 0.001 smaller than 0.05, then partially the work experience variable (X1) has an effect on employee performance variables (Y). And the partial test on the workload variable (X2) obtained a t significance of 0.000, or a t significance of less than 0.05, so partially the workload variable (X2) has an effect on the employee performance variable (Y).

Cooperatives in carrying out their activities to achieve the set goals must carry out control. The control that is implemented must be able to provide benefits, in this case it is able to increase the effectiveness and efficiency of cooperative operations. This study aims to analyze the control of receivables in the Women's Cooperative in Sidomulyo Village, Purwoasri District, Kediri Regency, during the period 2019 to 2023. This study uses a descriptive quantitative approach. The data analyzed includes the cooperative's financial statements, which are collected through interviews, observations, and documentation. The analysis technique used is to calculate the Receivable Turnover (RTO) ratio, and the Average Collection Period (ACP). The results of this study show that the control of receivables in the Women's Cooperative can be said to be effective. In the Receivable Turnover (RTO) ratio from 2019 to 2023, the receivables turnover rate can be said to be effective. In the Average Collection Period (ACP) from 2019 to 2023, it can be said to be effective.

This study aims to analyze the effect of service quality at Puskesmas Pulorejo, Ngoro District on patient satisfaction. Variables that affect patient satisfaction at Puskesmas Pulorejo, Ngoro sub-district are room facilities, doctor services, nurse / officer services. This study uses associative quantitative research methods. Data collection techniques in this study using questionnaires, observation and documentation. This data was obtained by distributing questionnaires directly to patients visiting the Pulorejo puskesmas in Ngoro sub-district.  The population in this study were patients who sought treatment at the Pulorejo Health Center, Ngoro sub-district, sampling using purposive sampling. The analytical test tool in this study used SPSS with the analysis method of classical assumption test, multiple linear regression, hypothesis testing, and R2 determination coefficient test. In this study, it was stated that there was a positive and significant effect on patient satisfaction at the Pulorejo Health Center, the doctor's service variable had an effect on patient satisfaction, the nurse / officer service had a persial effect on patient satisfaction at the Pulorejo health center, and the variable room facilities, doctor services, and nurse / officer services had a positive and significant effect on patient satisfaction.

The purpose of this study was to determine the effect of service and attractiveness on the intention to visit tourist objects in Jombang district. The method used in this research is a quantitative method. The population in this study is unlimited while the sample is 105 respondents using a purposive sampling technique. The data were collected using the questionnaire method, which were then analyzed using multiple regression analysis using SPSS version 26. The results showed that partially the service variable had an influence on the interest in visiting religious tourism objects in Jombang district, while the partial attractiveness variable also there is an influence on interest in visiting religious tourism objects in Jombang district. Simultaneously, the service and attractiveness variables affect the interest in visiting religious tourism objects in Jombang district.

This study aims to analyze the financial performance of PT Gudang Garam Tbk during the period from 2019 to 2022, with a focus on the company's financial statements. The evaluation is conducted by understanding the assets and liabilities of the company, especially current assets, non-current assets, and net exposure. The significant increase in cash and cash equivalents reflects efficient liquidity management, while fluctuations in trade receivables and inventory highlight operational challenges. Sustained investments in fixed assets signify a commitment to long-term growth, although fluctuations in trade payables and short-term liabilities demand caution. The consistently positive net exposure provides insight into potential growth and financial stability. However, the decrease in net exposure in 2021 indicates the impact of changing dynamics in the cigarette industry. In conclusion, a comprehensive understanding of financial statements is crucial for identifying opportunities and risks, providing a foundation for informed strategic decision-making. Additionally, this research emphasizes the importance of a deep understanding of factors influencing financial performance. Focus on liquidity, fixed asset investment, and net exposure management provides a complete picture of the company's dynamics. In facing the changing dynamics of the cigarette industry, the company needs to maintain a balance between long-term growth and financial risk management. The results of this research can serve as a valuable guide for the company's strategic decision-making in the future.

According to the Central Statistics Agency for 2019-2021, the harvested area and area of ​​corn plants according to districts/cities, corn production comes from five districts, namely Bualemo district, Gorontalo district, Pohuwato district, Bone Bolango district, North Gorontalo district and Gorontalo city with a total of 377 432.00 ha in 2019, 304 945.00 ha in 2020, and 334 945.00 ha in 2021. By the end of 2022 it is predicted that 340,500 hectares or 27.38 percent of the entire Gorontalo land area will be planted with hybrid corn with a total harvest estimated at 1.61 million tons. This research uses qualitative methods, with primary data sources and secondary data. Corn productivity affects the net income of corn farmers apart from the selling price, where low productivity causes minimal harvest results, so the farmer's income is also low. Apart from that, fluctuations in corn prices are also an obstacle in increasing net income, when corn prices are high farmers get bigger profits. However, when the price of corn falls, farmers' income will also decrease. To increase the competitiveness of corn commodities in Gorontalo Province, it is necessary to invest in improving agricultural technology, opening wider market access, and providing greater government policy support. In this way, corn commodities in Gorontalo Province can become more competitive in both local and international markets.

The purpose of this research is to determine the determinants of choice variables for MSME companies in Cimahi when it comes to using e-commerce. In this study, the Theory of Planned Behavior (TPB) is used as a theoretical framework to construct research hypotheses. The earliest stages of the research began with the collection of primary data in the form of questionnaire responses from Cimahi chips SMEs, with a total of 148 respondents filling out the questionnaire. The acquired data will next be processed using various linear regression methods. According to the findings of the study, Cimahi chip SMEs have a favorable attitude toward e-commerce adoption. They also include the influence of social norms as a factor to consider when adopting e-commerce. Perceived behavioral control influences e-commerce adoption as well. Based on the findings of the research, footwear MSMEs that have not used e-commerce should analyze the benefits of e-commerce for business, while MSMEs that have used e-commerce can assess the benefits and restrictions of utilizing e-commerce. The government can also help MSMEs adopt e-commerce by giving training, constructing suitable infrastructure, and establishing applicable legislation.