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This study aims to analyze the implementation of efficiency, effectiveness, and consistency in the Standard Operating Procedure for goods procurement in the purchasing department of The Oberoi Beach Resort, Bali. This research employed a descriptive qualitative approach, with data collected through semi-structured interviews, observation, and documentation. The informants included parties directly involved in procurement activities, namely the Purchasing Manager, Purchasing Supervisor, Purchasing Staff, Receiving Staff, and user departments. Data were analyzed through data reduction, data display, and conclusion drawing and verification. The findings show that the goods procurement SOP has been implemented in a structured manner through Purchase Requisition submission, document approval, Purchase Order issuance, supplier ordering, and goods inspection by the receiving department. The SOP is effective in supporting hotel operational needs and relatively consistent because control stages are maintained even under urgent requests. However, efficiency has not been fully optimized because administrative and approval processes still rely on a manual paper-based system. Other barriers include inventory data input errors, supplier stock limitations, customs constraints, and weather-related distribution disruptions. This study recommends the implementation of e-procurement, stronger interdepartmental coordination, improved inventory data accuracy, and supplier diversification.

This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.

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.

This study examines the effects of Net Profit Margin, audit opinion, and firm size on audit delay among construction companies listed on the Indonesia Stock Exchange from 2019 to 2025. Audit delay is measured as the period between the fiscal year-end and the issuance date of the independent auditor’s report. Timely financial reporting is particularly important in the construction sector due to its complex long-term projects, progress-based revenue recognition, cost estimation, and high financial risks. Using a quantitative approach, the study analyzes secondary data from annual financial statements and independent auditor reports. The sample includes 14 construction companies observed over seven years, producing 98 observations. Panel data regression was conducted using EViews, with the Chow, Hausman, and Lagrange Multiplier tests identifying the Random Effect Model as the most appropriate estimation method. The findings show that Net Profit Margin does not significantly affect audit delay. In contrast, audit opinion and firm size have negative and significant effects, indicating that favorable audit opinions and larger company size are associated with shorter audit completion periods. Collectively, the three variables significantly influence audit delay, although they explain only 15.75% of its variation.

The increasing emphasis on sustainable business practices has encouraged companies to integrate environmental and social responsibilities into their strategic and financial decision-making processes. This study investigates the influence of Green Accounting on Firm Value and examines the moderating role of Corporate Social Responsibility (CSR) within the Triple Bottom Line framework. A quantitative research design was employed using panel data from 23 energy, mining, and infrastructure companies listed on the Indonesia Stock Exchange during the 2022–2024 period, resulting in 69 firm-year observations. Secondary data were collected from annual reports and sustainability reports and analyzed using descriptive statistics, classical assumption tests, and Moderated Regression Analysis (MRA). The findings indicate that Green Accounting does not have a significant direct effect on Firm Value, while CSR also shows no significant direct influence. Furthermore, CSR is unable to significantly moderate the relationship between Green Accounting and Firm Value. These results suggest that sustainability initiatives implemented by Indonesian companies have not yet generated measurable short-term financial benefits, although they may contribute to long-term corporate legitimacy, stakeholder trust, and sustainable competitiveness. The study provides practical implications for corporate managers, investors, and policymakers by emphasizing the importance of strengthening sustainability reporting quality and integrating environmental and social strategies into long-term corporate value creation.

Financial distress has become a critical issue for companies operating in highly competitive and capital-intensive industries, making effective corporate governance and the efficient utilization of intangible resources increasingly important for ensuring long-term financial sustainability. This study aims to examine the effect of Good Corporate Governance on Financial Distress and to investigate the mediating role of Intellectual Capital in this relationship. The research employs a quantitative explanatory approach using panel data from 23 energy and mining companies listed on the Indonesia Stock Exchange during the 2021–2024 period, resulting in 92 firm-year observations. Secondary data obtained from annual reports and financial statements were analyzed using descriptive statistics, classical assumption tests, panel regression analysis, and mediation analysis. The findings indicate that Good Corporate Governance has a significant negative effect on Financial Distress, suggesting that stronger governance practices improve financial stability and reduce the likelihood of financial difficulties. Intellectual Capital also demonstrates a significant negative effect on Financial Distress and partially mediates the relationship between Good Corporate Governance and Financial Distress. These findings imply that effective governance combined with the strategic management of intellectual resources enhances organizational resilience and supports sustainable corporate performance. The study contributes to the literature by integrating governance quality and intellectual capital into a single framework for explaining financial distress and provides practical insights for managers, investors, and policymakers in strengthening corporate sustainability.

Earnings management remains a major concern in the banking industry because it may reduce the credibility and reliability of financial reporting. At the same time, Corporate Social Responsibility (CSR) has increasingly been recognized as an important governance mechanism that enhances corporate transparency, accountability, and stakeholder trust. However, previous studies have reported inconsistent findings regarding the role of firm size in the relationship between CSR and earnings management. Therefore, this study aims to examine the effect of CSR on earnings management and investigate whether firm size acts as a mediating variable in Indonesian banking companies. This research employed a quantitative explanatory approach using panel data from 22 banking companies listed on the Indonesia Stock Exchange during the 2022–2024 period, resulting in 66 observations. Data were analyzed using panel data regression with the Fixed Effect Model and mediation analysis through the Sobel test using EViews 12. The findings indicate that CSR has a significant negative effect on earnings management and a significant positive effect on firm size. Furthermore, firm size partially mediates the relationship between CSR and earnings management, indicating that CSR reduces earnings management both directly and indirectly through organizational scale. These findings provide theoretical support for stakeholder and legitimacy theories and offer practical insights for managers and regulators in strengthening CSR implementation to improve financial reporting quality and corporate transparency.

This study compared the performance of SARIMA and Prophet models in forecasting daily close prices of three major Indonesian banking stocks: BBCA, BBRI, and BMRI, using data from January 2020 to March 2026. Data were retrieved via the yfinance library, preprocessed, and split into 80% training and 20% testing sets. SARIMA modeling followed the Box-Jenkins procedure, while Prophet was configured with a Lag-1 regressor, weekly and monthly seasonality, Indonesian public holidays, and log transformation. Model performance was evaluated using MAPE, MSE, and Dstat metrics. Results showed that SARIMA outperformed Prophet in MAPE and MSE across all six stock-variable combinations, with MAPE values ranging from 1.3368% to 1.9386% for SARIMA and 1.5992% to 2.2300% for Prophet. However, Prophet demonstrated marginally higher Dstat values in several series. Both models achieved "Very Good" forecasting accuracy. A web-based forecasting system was also developed using Streamlit to make the models accessible to investors.

The purpose of this study is to analyze the influence of Corporate Social Responsibility (CSR), Financial Distress, and Altman Z-Score on Dividend Decisions in automotive sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2025 period. This study is motivated by fluctuations in the Dividend Payout Ratio (DPR) in the automotive sector, which indicates changes in company dividend policy due to economic conditions, financial performance, and non-financial factors that influence management decision-making. The research method used is a quantitative approach with a causal associative research type to examine the relationship between the independent and dependent variables. The study population consists of automotive sector companies listed on the IDX, while the sample was determined using a purposive sampling technique based on certain criteria. Research data were obtained from annual reports and company financial statements for the 2020–2025 period. Data analysis was carried out using the Dividend Payout Ratio (DPR) as a proxy for dividend decisions and statistical testing to determine the effect of CSR, Financial Distress, and Altman Z-Score on company dividend, the data were processed using SPSS.

The stock market is a place to buy shares for profit. In Indonesia, energy stocks are highly unpredictable because global commodity prices change constantly. This study examines what affected energy stock returns in 2024, focusing on trading volume, price swings, company profits, and cash flow. Using financial reports and statistical analysis, all these factors were tested together and individually. The results show that combined, all these factors do affect stock returns. However, when looked at one by one, only the company's net profit truly matters to investors. On the other hand, busy trading, daily price swings, and cash flow have no impact at all. In fact, all the factors studied only account for 14% of stock return movements, while the remaining 86% is driven by other outside forces. In conclusion, for those looking to invest in energy stocks, the most important thing to watch is the company's ability to generate net profit, rather than just looking at how busy daily transactions are in the market.

This study aims to assess the financial performance of 11 non-financial companies that conducted acquisitions in 2025 and are listed on the Indonesia Stock Exchange (IDX). Using a quantitative descriptive-comparative approach with a case study design, six financial ratios were analyzed: Current Ratio (CR), Debt to Asset Ratio (DAR), Debt to Equity Ratio (DER), Total Asset Turnover (TATO), Return on Assets (ROA), and Return on Equity (ROE). Data were obtained from consolidated financial statements as of December 31, 2024 (pre-acquisition) and December 31, 2025 (post-acquisition). The results show that the impact of acquisitions varies across companies. No consistent or significant differences were found in the CR, DAR, DER, ROA, or ROE ratios between the two periods. Meanwhile, the TATO ratio tended to decrease after the acquisition, indicating that the newly consolidated assets have not yet operated optimally. These findings confirm that the short-term financial impact of an acquisition is heavily influenced by the transaction’s funding structure, the size of the acquired entity, and the industry sector. This study contributes to the financial accounting literature on corporate acquisition strategies in the Indonesian capital market.

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.

This qualitative literature review synthesizes contemporary research on how dual-class share structures shape agency costs, voting divergence, and corporate governance outcomes. The review finds that disproportionate voting rights increase managerial entrenchment risks and weaken shareholder oversight, thereby amplifying agency costs across diverse institutional settings. However, governance safeguards particularly time bound and event-based sunset clauses emerge as effective mechanisms for moderating the long-term risks of control disproportionality. While dual class firms may benefit from strategic insulation that fosters innovation and long-term value creation, the absence of sunset provisions is consistently associated with reduced firm valuation, diminished accountability, and persistent divergence between control and ownership. Overall, this synthesis highlights that dual-class structures are not universally harmful, but their sustainability depends on the presence of robust governance constraints designed to restore alignment over time.

The purpose of this study is to examine the impact of financial constraints on workforce management practices in agricultural companies listed on the Indonesia Stock Exchange between 2022 and 2025. Earnings management was measured using the DeAngelo Discretionary Accrual model, while financial distress was measured using the Altman Z-Score. A purposive sample yielded 32 observations, and the data were analyzed quantitatively using simple linear regression in SPSS. The analysis results showed that Financial Distress had no significant effect on Earnings Management, with a significance value of 0.718 (>0.05). The coefficient of determination (R²) of 0.004 indicates that only 0.4% of the variation in earnings management practices can be explained by financial distress, while the remaining 99.6% is influenced by factors outside this model. This finding suggests that the adoption of earnings management strategies in pharmaceutical companies is not primarily driven by financial distress. Therefore, it is recommended that future research include additional variables that could potentially influence earnings management.

This study aims to analyze demand patterns and determine the most accurate forecasting method for the Kawachi KL 6167 A+ Emergency Lamp product to support inventory control decision-making. The data used in this study consist of product demand over 12 periods, showing an increasing trend with slight fluctuations in certain periods. The forecasting methods applied in this research include the Linear Trend Method, Quadratic Trend Method, and Moving Average (MA), while forecasting accuracy was evaluated using Mean Squared Error (MSE). The results indicate that the linear trend method provides a more suitable forecasting model compared to the quadratic trend method. The MSE value of the linear method is 69.31, whereas the quadratic method produces an MSE of 81.50, indicating that the linear method is more accurate due to its lower forecasting error. In addition, a 3-period Moving Average (MA) method was applied to forecast demand from period 13 to period 24. The forecasting results show that demand tends to stabilize within the range of 276–277 units, with the forecast for period 24 reaching 276.66 units, rounded to 277 units. Based on the findings, it can be concluded that the demand pattern for the Kawachi KL 6167 A+ Emergency Lamp demonstrates a relatively stable upward trend, making the linear trend method the most appropriate forecasting approach for predicting future demand. These forecasting results are expected to serve as a reference for companies in optimizing inventory planning to minimize the risks of stock shortages and overstocking.

Tax avoidance practices remain a crucial issue due to their potential to erode state revenue and hinder national development financing. This study aims to analyze and evaluate the effect of fixed capital intensity, Environmental, Social, and Governance (ESG) performance, and political connections on tax avoidance practices. The research method used is quantitative with a panel data analysis approach under the selected Random Effect Model (REM) estimation. The research population covers all companies listed on the Indonesia Stock Exchange (IDX) for the 2023–2024 period. Through the purposive sampling method, a final sample of 259 companies was obtained, resulting in 518 observation data over two years. The partial empirical results demonstrate that fixed capital intensity has a significant negative effect on tax avoidance. Conversely, both ESG performance and political connections are proven to have a significant positive effect on tax avoidance. Simultaneously, the three independent variables significantly influence corporate tax avoidance actions, contributing an Adjusted R-squared value of 10.43%. The practical implication of this study emphasizes the urgent need for tax authorities to increase oversight on companies indicated to be utilizing ESG reporting as a greenwashing strategy or leveraging political protection to avoid taxes. For corporate management, these findings serve as an evaluation to align sustainability commitments with ethical fiscal compliance.

Bank stock price prediction is an important topic in the application of information technology because stock price movements are dynamic, sequential, and influenced by historical market patterns. This study aims to predict Indonesian banking stock prices using the Long Short-Term Memory method and evaluate the effect of Bayesian Optimization on model performance. The data used in this study consists of daily historical stock data of BBCA, BBNI, BBRI, BBTN, and BMRI from May 4, 2020, to May 4, 2026, obtained from Yahoo Finance. The input features include opening price, highest price, lowest price, closing price, and trading volume, while the prediction target is the stock closing price. The results show that the baseline model produced MAPE values ranging from 1.892% to 3.147%. The best baseline performance was obtained on BBCA with an R² value of 0.933, followed by BBTN with an R² value of 0.902. After optimization, performance improvement occurred on BBTN, with MAPE decreasing from 3.147% to 2.482% and R² increasing from 0.902 to 0.935. For BMRI, MAPE decreased from 2.385% to 2.206%, and R² increased from 0.687 to 0.743. This study concludes that Long Short-Term Memory can be used to predict Indonesian banking stock prices, while Bayesian Optimization can selectively improve model performance depending on the characteristics of each stock dataset.

This study examines the effect of Environmental, Social, and Governance (ESG) performance on firm value in the Consumer Staples and Consumer Discretionary sectors listed on the Indonesia Stock Exchange during 2021–2023. The study is motivated by inconsistent empirical findings regarding the relationship between ESG and firm value, as well as differences in sectoral characteristics that may influence ESG effectiveness. The objective of this study is to analyze the impact of ESG on firm value in both sectors and compare the differences between them. This research employs panel data analysis using samples of 23 Consumer Staples companies and 19 Consumer Discretionary companies over a three-year period, resulting in 69 and 57 observations respectively. The Fixed Effect Model was applied to the Consumer Staples sector based on the Hausman test result, while the Consumer Discretionary sector used the Random Effect Model. Firm value was measured using Tobin’s Q, ESG performance was proxied by Bloomberg ESG Score. The findings indicate that ESG has no significant effect on firm value in the Consumer Staples sector, while ESG has a significant negative effect in the Consumer Discretionary sector. These results suggest that the relevance of ESG depends on sector characteristics and market perceptions of ESG investment in Indonesia.

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.