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This quantitative study examines the impact of transactional leadership and reward systems on employees' extrinsic motivation at PT Konigs Multi Teknik, addressing earlier observations of low staff motivation. Utilizing a saturated sampling technique, the research involved the entire company population of 31 employees. Data collected through five-point Likert-scale questionnaires were analyzed via multiple linear regression using SPSS version 27, successfully satisfying all required classical assumption tests The partial test (t-test) results revealed that both transactional leadership and rewards exert a positive and significant influence on extrinsic motivation, with rewards standing out as the more dominant factor. Furthermore, the simultaneous test (F-test) confirmed that both variables jointly and significantly drive employee motivation, accounting for exactly 80.9 percent of its variance according to the adjusted R-square value. Ultimately, these findings suggest that companies must strategically combine consistent transactional leadership practices with a fair, transparent reward system to effectively boost overall motivation.

This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

The development of sustainability concepts in the banking sector has encouraged companies to implement Environmental, Social, and Governance (ESG) principles and develop Green Investment initiatives as part of their long-term business strategies. This study aims to examine the effect of ESG implementation and Green Investment on the firm value of banking companies listed on the Indonesia Stock Exchange during the 2022–2025 period. The research employed a quantitative approach using panel data regression analysis. Model selection was conducted through the Chow, Hausman, and Lagrange Multiplier tests, which indicated that the Random Effect Model (REM) was the most appropriate model for the analysis. The results reveal that ESG has a positive and significant effect on firm value, indicating that better implementation of Environmental, Social, and Governance practices enhances a company's value in the perception of investors and the market. Conversely, Green Investment has a negative and significant effect on firm value. This finding suggests that Green Investment is still perceived as a costly activity and has not yet generated direct economic benefits in the short term. Simultaneously, ESG and Green Investment significantly influence firm value, with the model explaining 35.1% of the variation in firm value. The findings imply that banking companies should continuously improve the quality of ESG implementation and optimize the management of Green Investments to create greater firm value and support long-term business sustainability.

This study examines how profitability affects company value among manufacturing firms included in the LQ45 index during the 2023–2025 period, with debt policy serving as a moderating variable. Increasing business competition encourages companies to improve their financial performance and market value to attract investors and maintain long-term sustainability. A quantitative research approach with a causal research design was employed to analyze the relationship between the variables. The study used secondary data obtained from audited annual financial statements published on the Indonesia Stock Exchange. Data analysis was conducted using Moderated Regression Analysis (MRA) with the assistance of SPSS version 26. The results indicate that profitability has a significant positive effect on firm value, suggesting that higher profitability enhances investor confidence and contributes to higher market valuations. Furthermore, debt policy significantly moderates the relationship between profitability and firm value by strengthening the influence of profitability. The coefficient of determination increased from below thirteen percent to more than sixty-three percent after including the moderating variable. These findings demonstrate that effective debt management combined with strong profitability contributes to higher firm value and supports sustainable corporate growth and long-term investor confidence.

The coffee shop industry has experienced substantial growth in recent years, creating intense competition that compels businesses to continuously enhance service performance in order to maintain customer satisfaction and market competitiveness. PT Jokopi Indonesia Group has encountered several service-related issues reflected in declining sales performance and recurring customer complaints, indicating the need for a comprehensive evaluation of service quality. This study aims to identify service attributes that fail to meet customer expectations and determine improvement priorities through the integration of the SERVQUAL and Kano methods. A quantitative approach was employed using questionnaire data collected from 50 customers who had prior experience with the company’s services. SERVQUAL was utilized to assess discrepancies between customer expectations and perceived service performance, while the Kano model was applied to classify attributes according to their contribution to customer satisfaction. The findings reveal that all evaluated attributes generated negative gap values, indicating that existing service performance has not yet reached the level expected by customers. The most critical gaps were identified in menu availability, air-conditioning and fan comfort, payment convenience, and straw availability. Kano classification further demonstrates that menu availability and thermal comfort facilities belong to the Must-Be category, meaning that failure to provide these attributes may trigger significant customer dissatisfaction. The integration of SERVQUAL and Kano highlights these attributes as the most urgent areas for improvement. The results provide managerial guidance for developing targeted service enhancement initiatives aimed at strengthening customer satisfaction, retention, and competitive advantage.

XYZ is a manufacturing company engaged in steel pipe production. In the production process of non-American Petroleum Institute (API) steel pipes, the company still experiences various types of waste, resulting in an inefficient production process. The identified wastes include defects, waiting, transportation, and non-value-added activities, which contribute to increased production time and reduced productivity. This study aims to analyze the major wastes occurring in the non-API steel pipe production process and propose improvements using the Lean Manufacturing approach. The methods employed in this study include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), Process Activity Mapping (PAM), and Failure Mode and Effect Analysis (FMEA). Data were collected through direct observation, interviews, and documentation of the production process. The results indicate that the dominant wastes affecting the production process are defects, waiting, and transportation. PAM analysis shows that non-value-added activities remain relatively high, leading to production time inefficiencies. Based on the FMEA results, the main causes of waste are machine conditions, work methods, and operator skills. Proposed improvements include periodic machine maintenance, production quality control, work method improvement, and the optimization of material flow.

This study aims to analyze the strategic role of relationship marketing in sustaining long-term customer value among customers in Yogyakarta. A quantitative approach with an explanatory research design was employed. Primary data were collected through questionnaires distributed to 160 respondents selected using purposive sampling. Respondents were at least 17 years old, had purchased or used the company’s products or services at least twice within the last six months, and had experience interacting with the company through direct or digital channels. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that relationship marketing has a positive and significant effect on customer trust and customer satisfaction, both of which positively influence customer loyalty. Customer loyalty, in turn, significantly affects long-term customer value. Relationship marketing also directly influences long-term customer value, although indirect effects through trust, satisfaction, and loyalty provide stronger explanations. These findings confirm that relationship marketing is a strategic approach for building valuable long-term relationships. The study contributes to relationship marketing, commitment-trust, and customer value theories while providing managerial implications for sustaining business performance in competitive markets.  

This study aims to analyze the effect of profitability and liquidity on firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2025 period. The study was motivated by inconsistencies in previous research results regarding the influence of profitability and liquidity on firm value. Profitability was measured using Return on Assets (ROA), liquidity was measured using Current Ratio (CR), while firm value was measured using Price to Book Value (PBV). This research employed a quantitative approach using secondary data obtained from company financial statements. The sampling technique used purposive sampling with a total sample of 9 manufacturing companies during the research period. The data analysis methods included descriptive statistical analysis, classical assumption tests, multiple linear regression analysis, coefficient of determination test (R²), partial test (t-test), and simultaneous test (F-test) using SPSS software. The results showed that company profitability tended to be stable although several companies experienced performance fluctuations, while liquidity levels showed considerable variation among companies. Based on the partial test results, profitability (ROA) did not have a significant effect on firm value with a significance value of 0.765 (>0.05), while liquidity (CR) had a significant negative effect on firm value with a significance value of 0.011 (<0.05). Simultaneously, profitability and liquidity had a significant effect on firm value with an F-test significance value of 0.020 (<0.05). The coefficient of determination (R²) value of 0.169 indicates that profitability and liquidity were able to explain 16.9% of the variation in firm value, while the remaining 83.1% was influenced by other factors outside the study. This research is expected to contribute to the development of financial management knowledge and serve as a consideration for investors and companies in decision-making.

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

This study aims to analyze the effect of personalized marketing on customer satisfaction and customer retention, as well as to explain the role of customer satisfaction as a mechanism linking marketing personalization to customers’ decision to remain with a brand. The background of this study is based on the increasing use of data-driven marketing strategies, product recommendations, personalized promotions, and digital communication tailored to customer preferences. In an increasingly competitive business environment, companies are required not only to attract new customers but also to retain existing customers through relevant, convenient, and valuable experiences. This study employed a quantitative explanatory approach, with the population consisting of customers who had received personalized marketing from a particular company or brand. The sampling technique used was purposive sampling, with the criteria that respondents had received personalized promotions and had made repeat purchases. The total sample consisted of 110 respondents. Data were collected using a structured questionnaire with a five-point Likert scale and analyzed using Partial Least Squares Structural Equation Modeling. The findings show that personalized marketing has a positive and significant effect on customer satisfaction. This indicates that promotions, recommendations, and marketing messages that are relevant to customer needs can create more positive customer experiences. Customer satisfaction is also found to have a positive and significant effect on customer retention, meaning that satisfied customers are more likely to make repeat purchases, continue using products or services, and avoid switching to competitors. In addition, personalized marketing has a direct effect on customer retention, although its effect becomes stronger when mediated by customer satisfaction. The implications of this study emphasize that companies need to develop personalization strategies that are not only data-driven but also relevant, ethical, non-intrusive, and oriented toward customer value. Therefore, personalized marketing can serve as an important strategy for improving customer satisfaction and maintaining long-term customer retention.

This study aims to examine the influence of capital intensity,  Return on Assets (ROA), liquidity, and company size on the Cash Effective Tax Rate (CETR) as a proxy for tax avoidance in energy sector companies listed on the Indonesia Stock Exchange for the 2020–2024 period. This study uses a quantitative approach with secondary data in the form of annual financial statements. The sample was determined using a purposive sampling technique and obtained 16 companies during five years of observation, resulting in 80 observation data. Data analysis was carried out using multiple linear regression with the help of SPSS 29 software. The analysis stage began with a classical assumption test, then continued with multiple linear regression analysis, as well as hypothesis testing. The results showed that partially capital intensity and ROA had a significant effect on CETR, while liquidity and company size had no significant effect on CETR. Simultaneously, all independent variables had a significant effect on CETR, with a determination coefficient value of 25%.

This study aims to formulate an information system strategic planning model for PT Athria Cipta Mandiri using the Ward and Peppard method. The research was conducted because the company still faces several problems in managing tender and construction project data, such as unintegrated systems between divisions, semi-digital administrative processes, repeated data input, the absence of a centralized database, and project reporting that has not been carried out in real time. This study uses a qualitative descriptive approach with data collection techniques through observation, interviews, and literature study. The analysis was conducted using Value Chain, PESTEL, SWOT, Critical Success Factor, McFarlan Strategic Grid, and application portfolio recommendations. The results show that PT Athria Cipta Mandiri needs an integrated information system for tender and project management, web-based project reporting and monitoring, a document management system, business intelligence dashboard, centralized cloud database, and stronger IT governance. The proposed strategy is expected to improve operational efficiency, data accuracy, inter-division coordination, and data-based managerial decision making.

Dijkstra's algorithm is one of the algorithms in graph theory that is used to solve the problem of the shortest path of a graph at each vertex that has a non-negative value. This algorithm was discovered by Edsger Wybe Dijkstra, a scientist from the Netherlands. The search for the shortest route for product delivery can be calculated through the application of the Dijkstra algorithm in the problem being faced. The problem of decision making for selecting the shortest route is still manual, so it experiences several obstacles, including the absence of a systematic and computerized system to assist the decision-making process in determining the route for shipping goods, the determination of shipping routes still depends on manual estimates so that the time taken between deliveries becomes inconsistent, the operational costs of shipping are relatively high because there is no optimal route determination system. Facing these problems, a system is needed that can minimize delays and increase effectiveness in shipping goods, namely determining the shortest route using the Dijkstra algorithm. This system works by finding various alternative routes for shipping goods at PT AMSA to address various structured and unstructured problems using data and models. To process this data and models, a method called the Dijkstra algorithm is required. Based on the description above, researchers will create a method for determining the shortest route for shipping goods at PT AMSA using the Dijkstra algorithm to facilitate the company's process of determining the shortest route.

This study is based on the increasingly rapid development of the knowledge-based economy, where human capital is now regarded as one of the important assets in creating a company’s competitive advantage, especially in the energy and oil and gas sectors in Indonesia. This study aims to determine the effect of human capital and labor intensity on corporate financial performance, which is proxied by Return on Assets (ROA) during the 2021–2024 period. The research method used is a quantitative approach with multiple linear regression analysis. The research data were obtained from sample companies selected using a purposive sampling technique. The results of the study show that human capital, proxied by Value Added Human Capital (VAHU), has a positive and significant effect on corporate financial performance. These findings indicate that good human resource management is capable of increasing the company’s profitability level. On the other hand, labor intensity is proven to have a negative and significant effect on financial performance. This indicates that a high level of company dependence on labor, without being balanced by operational efficiency, can reduce the company’s ability to generate profits. In addition, simultaneously both variables are able to explain 74.5% of the variation in Return on Assets (ROA), so it can be concluded that human capital and labor intensity have a considerable contribution to corporate financial performance. Based on these results, companies need to prioritize improving the quality and competence of the workforce rather than merely focusing on increasing the number of employees. This step is important to maintain the stability of corporate financial performance in the post-pandemic era. In addition, companies also need to effectively control labor costs so that a decline in net profit margins can be avoided.

This study aims to analyze the effect of capital structure and sales growth on firm value in industrial sector companies listed on the Indonesia Stock Exchange during the 2015–2024 period. This research uses a quantitative approach with secondary data obtained from company financial statements through the official website of the Indonesia Stock Exchange. The research sample consisted of 14 companies with a total of 140 observations selected using the purposive sampling method. The data analysis technique used was multiple linear regression analysis with the assistance of IBM SPSS version 31. The results showed that simultaneously capital structure and sales growth had a significant effect on firm value. Partially, capital structure had a positive and significant effect on firm value, indicating that a well-managed capital structure can increase company value. Meanwhile, sales growth did not have a significant effect on firm value. These findings indicate that investors tend to consider capital structure more than sales growth in assessing the value of companies in the industrial sector.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

This study aims to determine the effect of ESG Disclosure, Environmental Performance, and Environmental Costs on the Negative Net Profit Margin (NPM) of Energy Sector Companies Listed on the Indonesia Stock Exchange for the 2022-2024 Period. The data used in this study consists of secondary data obtained from annual reports and company sustainability reports. The analysis tool used is SPSS 31 software to view the results partially and simultaneously. The results show that ESG Disclosure does not affect Net Profit Margin (NPM). Likewise, environmental performance does not show a effect on Net Profit Margin (NPM). Meanwhile, environmental costs show an negative effect on Net Profit Margin (NPM). Simultaneously, ESG disclosure, environmental performance, and environmental costs have a negative effect on Net Profit Margin (NPM). The results show that when environmental costs are high, the Net Profit Margin (NPM) value decreases, and vice versa. Meanwhile, ESG disclosure and environmental performance do not have a significant impact on Net Profit Margin (NPM). This research contributes to company management and stakeholders in understanding the impact of environmental costs on profitability as reflected in the Net Profit Margin (NPM) return on assets ratio and provides insight in decision making.

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

This study aims to determine the effect of tax planning and capital structure on firm value, with firm size as a moderator. The population in this study is all non-cyclical consumer companies in the food and beverage subsector listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. The type of research used in this study is quantitative associative with secondary data. The research sample was determined using a purposive sampling technique. Based on this technique, 24 companies were obtained that met certain criteria. The panel data regression technique used in this study is the Random Effect Model. Testing of panel data regression and moderation regression uses the E=views 13 application. The results of this study indicate that tax planning partially has no effect on firm value, while capital structure does affect firm value. The results simultaneously show that tax planning and capital structure affect firm value. The results of this study also indicate that firm size weakens the relationship between tax planning and firm value, and firm size is also unable to moderate or weaken the relationship between capital structure and firm value.

This study aimed to analyze the influence of capital structure, liquidity, activity, and dividend policy affect firm value in the food and baverage manufacturing sub-sector listed on the Indonesia Stock Exchange during 2022-2024. The research uses secondary data drawn from financial reports. From a population of 99 listed companies for the 2022-2024 period, purposive sampling yielded 19 companies as the study sample. A quantive approach was applied, using multiple linear regression for analysis. Data processing and analysis were conducted with Microsoft Excel 2022 and IBM SPSS version 27. The findings indicate the capital structure has a positive and statistically significant effect on firm value. While liquidity, activity, and dividend policy show no significant effect.