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In the context of Indonesia's post-pandemic financial market dynamics, investment and financing decisions often face challenges of cash flow uncertainty and capital cost volatility, requiring a Profitability Index (PI) and Weighted Average Cost of Capital (WACC) perspective to ensure optimal resource allocation to maximize company value. This study aims to analyze the effectiveness of investment and financing decisions through the integration of PI and WACC based on a synthesis of the latest literature. A descriptive qualitative approach was used through a literature study with secondary data from financial journals and textbooks from 2021-2025, collected from Google Scholar and university repositories, then analyzed thematically with data reduction, presentation, and literature triangulation to interpret the PI, IRR, and WACC indicators. The results show that PI is consistently >1 (ratio of 1.15-1.45) and IRR > WACC (average of 10-12%), confirming the feasibility of 70% of manufacturing projects, while WACC of 9.8% from the optimal capital structure (debt ratio of 40-50%) supports an effective tax shield, despite being constrained by multiple IRRs, conflicting metric rankings, and BI interest rate fluctuations that increase implicit costs by up to 15%. It can be concluded that PI-WACC integration increases theoretical profitability by 12% through precise allocation, but is limited by the generalization of secondary data; a hybrid model with mixed-method validation is recommended for the non-manufacturing sector in emerging markets.

Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

This study examines how company size, asset growth, tangibility, leverage, and total asset turnover affect profitability in consumer manufacturing companies listed on the Indonesia Stock Exchange from 2019 to 2023, using secondary data collected via purposive sampling. The independent variables in this study include the natural logarithm of total assets, asset growth (this year’s total assets relative to the previous year), and tangibility (the fixed asset ratio to total assets). Leverage uses the debt-to-asset ratio, and total asset turnover uses the total asset turnover ratio, while the dependent variable of profitability uses return on assets. Of the 108 companies in the population, 19 that met the research sample criteria were selected, yielding 95 observations. Data analysis was conducted using multiple linear regression, accompanied by classical assumption tests and hypothesis testing through F-tests and t-tests. The findings of this study reveal that asset growth has a significant positive effect on profitability, while leverage shows a significant negative effect. However, firm size, tangibility, and total asset turnover do not exhibit significant relationships with profitability. This study contributes both theoretically and practically to understanding the internal determinants of financial performance in the consumer sector and serves as a reference for management.

This study aims to analyze inventory control of catfish seeds at ABC Company by comparing the conventional inventory method represented by the Economic Order Quantity (EOQ) approach and the Just In Time (JIT) system in order to improve cost efficiency. This research employed a descriptive quantitative approach using a case study design. Data were collected through direct observation, semi-structured interviews with company management, and documentation of inventory and cost records for the 2024 operational period. The analysis method involved calculating optimal order quantities, ordering frequency, delivery frequency, and total inventory costs using EOQ and JIT formulas, followed by a comparative cost efficiency analysis. The results show that the conventional method resulted in a total inventory cost of Rp 75,050,000 per year with high ordering frequency. In contrast, the implementation of the JIT system reduced inventory costs to Rp 18,762,500 per year, achieving a cost efficiency of 72%. These findings indicate that the JIT system is more cost-efficient than the conventional method; however, its implementation requires careful consideration of supplier capacity, logistics readiness, and biological risks associated with live inventory. This study contributes empirical evidence on the applicability of JIT in the aquaculture sector, which has different characteristics from manufacturing industries.

Economic growth is the process of increasing a country's production capacity to generate goods and services over a specific period, reflecting the income and well-being of its people. This research aims to analyse the influence of labor, exchange rates, and exports on the Gross Domestic Product (GDP) of the manufacturing sector in Indonesia during the period 2010-2024. The method used is multiple linear regression analysis with the Ordinary Least Square (OLS) approach, using secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia (BI). The research results indicate that all three independent variables, namely labor, exchange rate, and exports, have a positive and significant impact on the GDP of the manufacturing sector, both partially and simultaneously. The coefficient of determination (Adjusted R2) value of 0.9633 indicates that 96.33% of the variation in industrial sector GDP can be explained by these three variables, while 3.76% is influenced by factors outside the model. This research confirms that increased labour productivity, exchange rate stability, and export growth play an important role in strengthening the performance of the manufacturing sector in Indonesia. Therefore, policies focused on improving the quality of human resources, strengthening export competitiveness, and ensuring macroeconomic stability are needed to support the sustainable and globally competitive growth of the manufacturing sector.

This study examines the inconsistency of merger and acquisition (M&A) impacts on financial ratio performance across sectors and evaluation methods. This literature review synthesizes ten empirical studies published between 2022 and 2025, focusing on financial indicators before and after M&A transactions. The findings show that the effect of M&A on financial performance varies widely depending on the industry context, time horizon, and analytical technique used. Studies in the technology and telecommunication sectors demonstrate significant improvements in profitability and operational efficiency, while research involving manufacturing and non-financial firms commonly reports insignificant changes in key ratios such as current ratio, total asset turnover, return on assets, and return on equity. Methodological differences also influence the reported outcomes, where long-term observations and comparative statistical testing tend to reveal a more pronounced financial impact compared to short-term assessment. These results indicate that M&A does not uniformly drive financial improvement and its success depends on post-integration strategy, sector dynamics, and measurement design. This study highlights the necessity of standardized evaluation frameworks to ensure more reliable performance interpretation in future M&A research.

The financial sector plays an important role in promoting Indonesia's economic recovery. This study was conducted to determine the effect of credit to priority sectors on economic growth on the island of Sumatera. The data analysis technique used is dynamic panel data regression analysis with the system-GMM approach. The results of this study indicate that credit for the agricultural, forestry, and fishery sectors; manufacturing sector; the accommodation and food and drink provision sector can increase economic growth on the island of Sumatera, while the construction sector credit; wholesale and retail trade sector; and the transportation and warehousing sectors have a negative influence on economic growth. This shows that the credit of the banking sector has a positive and negative influence on economic growth on the island of Sumatera. Therefore, banks and the government are expected to increase financial literacy to the community and improve internet facilities, especially in rural areas.

This study examines the influence of financial factors on the capital structure of basic chemical manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The sample selection method used is purposive sampling, with specific criteria resulting in a sample of 51 companies and a total of 255 data points. After data processing, 80 outliers were identified, reducing the final sample to 175 company data points. This research adopts a quantitative approach, utilizing multiple linear regression analysis with SPSS version 25. The findings reveal that profitability, asset structure, company size, and business risk have a significant impact on capital structure. In contrast, sales growth and dividend policy do not show a significant contribution to capital structure. Based on these findings, it is recommended that companies in the basic chemical manufacturing sector focus on improving profitability, optimizing asset structure, and managing business risks effectively to strengthen their capital structure. Additionally, company size should be considered when making financing decisions. Since sales growth and dividend policy were not significant factors, firms might prioritize internal financial management and risk control over aggressive sales expansion or dividend adjustments when aiming to optimize their capital structure. Future research could explore other potential factors or use alternative methodologies to deepen understanding in this area.

This research aims to determine whether there is an effect of FDI, Domestic Investment, and Labor on the GRDP of the Manufacturing Industry Sector in Pekanbaru City. This study uses independent variables such as FDI, Domestic Investment, and Labor with the dependent variable being the GRDP of the Manufacturing Industry Sector in Pekanbaru City. The data used in this study consisted of 2012 to 2024. The method used in the analysis approach is descriptive quantitative, and tested with multiple linear regression using SPSS 26 software.The results of the study indicate that, based on simultaneous regression analysis, FDI, Domestic Investment, and Labor have a significant impact on the GRDP of the Manufacturing Sector in Pekanbaru City. Partially, the Domestic Investment and Labor variables have a positive and statistically significant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City, while the FDI variable has a positive and statistically insignificant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City

This study aims to analyze the role of company size as a moderator variable in the relationship between profitability and leverage and sales growth in manufacturing companies in the basic industry and chemical sectors listed on the Indonesia Stock Exchange (IDX) for the 2020–2023 period. The research method used is a quantitative approach with purposive sampling techniques, so that 56 sample data that meet the research criteria are obtained. Data analysis was carried out using Moderated Regression Analysis (MRA) with the help of SPSS software version 30. The results show that leverage does not have a significant effect on profitability, while sales growth is proven to have a significant effect on profitability. Furthermore, company size has not been shown to moderate the relationship between leverage and profitability, but it does play a significant role in moderating the relationship between sales growth and profitability. These findings support the Pecking Order theory, which emphasizes that companies with larger sizes tend to have wider access to funding so that they are able to strengthen the influence of sales growth on profitability. This research provides a theoretical contribution in enriching the literature on factors that affect profitability, as well as a practical contribution to company management in formulating more effective financial and growth strategies. Thus, the size of the company proves to be an important factor to consider in the analysis of financial performance, particularly in the context of the relationship between sales growth and profitability.

This study aims to analyze the effect of intellectual capital and profitability on firm value in manufacturing companies in the food and beverage sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2020-2023 period. Intellectual capital is measured using the Value Added Intellectual Coefficient (VAIC) method, which consists of three components: Value Added Capital Employed (VACA), Value Added Human Capital (VAHU), and Structural Capital Value Added (STVA). Meanwhile, profitability is proxied by Return on Assets (ROA). This study uses a quantitative approach with purposive sampling, resulting in 59 companies as research samples. After data screening and the removal of outliers, the number of observations analyzed was 138. The data were analyzed using multiple linear regression with SPSS software. The results of the study show that intellectual capital does not have a significant effect on firm value. This finding indicates that the management and disclosure of intellectual assets in food and beverage companies have not been able to improve investors' perception of the company’s market value. On the other hand, profitability has a positive and significant effect on firm value. This means that the higher the profitability, the higher the firm value, as reflected in investor confidence. This study emphasizes that conventional financial indicators remain the main focus of investors, while the role of intellectual capital has not yet been fully considered as a strategic resource that can directly enhance firm value.

This study investigates how transformational leadership, work motivation, and human resource (HR) human resources training influence employee performance across various industrial sectors in Indonesia. Improving employee performance is crucial for organizational success in an increasingly dynamic business environment. This study utilizes a quantitative survey method and involves 200 people from the manufacturing, service, and trade sectors. The data was analyzed using multiple linear regression after being collected through questionnaires. Research shows that human resource training, work motivation, and transformational leadership simultaneously and partially have a positive and significant effect on employee performance. The results indicate that organizations must enhance their inspiring leadership styles, boost employee morale through internal and external approaches, and implement sustainable training programs to improve their employees' skills. This study provides a theoretical basis for the advancement of human resource management science and offers practical benefits for human resource managers and practitioners in improving organizational efficiency.

The growth of the Islamic economy in Indonesia requires financing instruments that are not only in line with Islamic principles but also capable of driving the real sector productively. Istisna' contracts, which involve the sale of goods by order, offer a promising solution for financing construction projects, manufacturing, and micro-businesses. This study aims to explore the definition, role, and implementation of istisna' contracts in supporting the growth of the Islamic economy. Using a descriptive qualitative method based on literature review and normative-economic approaches, the study finds that istisna' contracts can enhance productivity, create employment opportunities, and support sustainable economic development. However, their implementation still faces challenges such as limited public understanding, financing risks, and a lack of education for business actors. Therefore, efforts to optimize the use of istisna' in Islamic financial institutions are essential

This study analyses the application of the Activity-Based Costing (ABC) system in the manufacturing sector with the main objective of improving the efficiency and effectiveness of company operations compared to conventional cost accounting approaches. The ABC method links costs with relevant activities, thus giving a more realistic cost allocation that assists firms in identifying their inefficient costs and improves the quality of managerial decisions. This research applies the SLR approach in identifying, evaluating, and summarizing findings from various studies on ABC implementation. The search process has been carried out through the Google Scholar database, while the period of search concern is 2019 - 2024. Therefore, from the initial outcome of 588 articles retrieved, only 31 articles with the inclusion requirements were selected to be analyzed in depth. The findings show that companies using the ABC method have superior financial performance and competitiveness compared to those using traditional methods. Although the implementation of ABC requires a significant initial investment, the long-term benefits in the form of efficiency and more optimal resource management contribute greatly to the sustainability of manufacturing companies in the global market.

Reciprocal tariff changes imposed by the United States on its trading partner countries including Indonesia, create changes in export and import tariffs in Indonesia which result in a significant impact on the Indonesian economy, which has an impact on export and import sectors such as oil and gas, then non-oil and gas which includes processing industries, agriculture, forestry, fisheries, mining as well as consumer goods, raw / auxiliary materials, and capital goods. This research aims to analyze the impact of exports and imports in the country of Indonesia due to the reciprocal tax rate policy implemented by the United States. This research uses a qualitative approach with the type of content analysis, which involves collecting data from news articles, research reports, and relevant academic publications. The results showed that the imposition of reciprocal tariffs imposed by the United States against Indonesia caused an increase in imports from 2017 to 2020 by 1.38% in the consumer goods sector. On the other hand, the export side decreased in the oil and gas sector from 2017 to 2020 by 2.37% which resulted in disruption of economic stability in the global supply chain that created inflation, and increased imports in Indonesia resulted in competing local product prices with imported products so that many Indonesian manufacturing companies reduced production and terminated employment. From this research, it is expected that Indonesia will be able to maximize the opportunities that exist from the changes and challenges of global trade.

Inventory management of raw materials is a crucial aspect in the manufacturing industry, particularly in the pharmaceutical sector, as it directly affects the continuity of the production process. This study aims to analyze the raw material inventory accounting system in inventory control at PT Bernofarm Pharmaceutical Company. The methods used include direct observation of operational processes and interviews with management to obtain relevant and accurate data. The results of the study show that PT Bernofarm has implemented an integrated accounting information system within an ERP framework, covering procedures for raw material requisition, issuance, return, and recording of production costs. Each procedure is systematically arranged with clear task separation and is fully computerized. This facilitates internal control and monitoring of raw material flow, while minimizing recording errors. With this effective system, the company is able to avoid both overstocking and stock shortages that could disrupt production. This study is expected to serve as a reference for improving the efficiency and accuracy of raw material inventory management in other pharmaceutical companies.

The abstract examines the impact of the US-China Trade War on the motivation for expansion within Sichuan's electronic manufacturing sector. The trade conflict has introduced significant challenges, including increased tariffs and supply chain disruptions, compelling local firms to reassess their strategies. In response, companies have intensified their focus on innovation and technological advancement to enhance competitiveness and reduce reliance on foreign technologies. This drive for self-sufficiency has led to increased investment in research and development, fostering new capabilities and market opportunities. Moreover, the trade war has shifted attention toward domestic markets, prompting firms to diversify their supply chains and explore alternative business avenues. Government support has further facilitated this expansion, providing resources and incentives that bolster growth. The findings suggest that the motivations for expansion are closely intertwined with the broader geopolitical landscape, shaping the future of Sichuan's electronic manufacturing industry, based on insights gathered from a sample of 380 Sichuan electronic manufacturer operators in the study.  

This study investigates the effect of environmental costs on the level of environmental information transparency in manufacturing companies in the basic materials subsector, while providing empirical evidence regarding the relationship. Environmental costs are calculated through the ratio of corporate social responsibility (CSR) burden to the organization's net profit. Meanwhile, the company's environmental performance is evaluated using the PROPER rating on an ordinal scale. The level of environmental coverage is measured comprehensively through the Clarkson index which covers various dimensions of existing reporting. A quantitative approach with multiple linear regression analysis is applied to test the relationship between variables. In selecting the sample, a purposive sampling technique was used by considering the completeness of the data and certain sector criteria, resulting in 35 companies as the final sample that met the analysis requirements. The results of the study revealed that an increase in environmental costs is directly proportional to a significant increase in environmental coverage. This indicates that company investment in environmental programs encourages more transparent reporting practices. In addition, environmental performance as reflected in the PROPER rating is also proven to have a positive and significant effect on the extent of environmental coverage.

This study aims to analyze the effect of gender diversity in the board of directors and the presence of an audit committee on the level of integrated reporting disclosure in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. The study uses companies' annual reports as secondary data and applies multiple linear regression for analysis. The results show that both gender diversity and the audit committee have a positive and significant effect on integrated reporting disclosure. These findings support agency theory, which posits that sound corporate governance enhances transparency and reporting accountability. This research contributes theoretically to the literature on integrated reporting and offers practical implications for companies in formulating more sustainable and informative reporting strategies.

The purpose of this study is to examine the structure of economic performance and identify superior clusters in districts/cities in order to develop a basis for formulating effective regional development strategies. The methodology used is quantitative with a descriptive approach that includes analysis of location quotient (LQ), shift share and class typology. Secondary data comes from official institutions such as the Central Statistics Agency (BPS). The results of the study indicate that Sidoarjo has an advantage in the manufacturing sector (LQ 1.85) and is included in the category of advanced and rapidly developing regions. Lamongan stands out in the agricultural and fisheries sectors with significant growth, although its contribution to GDP is low, it is classified as a rapidly developing region. Gresik has a large and solid commercial sector, but its growth is still lagging behind the national average. Pasuruan is included in the lagging category because its education services sector has not become the mainstay of the economy. The cluster approach has proven successful in identifying regional potential and formulating data-based development policies. Cross-sector collaboration and responsive and supportive government policies are key factors in developing superior clusters that can accelerate regional economic growth in an inclusive and sustainable manner.