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This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

This study aims to analyze the skills gap in the era of the Industrial Revolution 4.0 and the factors influencing it. The research employed a descriptive-analytical approach based on literature studies and the author’s analysis of the dynamics of formal education curricula and the development of industrial needs. The findings indicate that formal education curricula that are less adaptive to technological developments are the main factor causing the skills gap. In addition, the slow adaptation to technology in educational and industrial environments, as well as the unequal distribution of skills development across various regions in Indonesia, further widen the gap between graduates’ competencies and labor market demands. This condition affects the low readiness of the workforce in facing digital transformation and global competition. The study concludes that the skills gap is a strategic issue requiring serious attention from the government, educational institutions, and the industrial sector. Curriculum reform that is responsive to technological advancements, strengthening digital literacy, and ensuring equal access to training and skills development are essential steps to improve the competitiveness of Indonesian human resources. These efforts are expected to support poverty reduction, reduce social inequality, and achieve the long-term national development goals toward Indonesia Golden Vision 2045.

Developments in information technology have had a significant impact on business communication and negotiation processes in various industrial sectors. Technological advances such as email, video conferencing, instant messaging applications, cloud-based information systems, and other digital media have created new, faster, more efficient, and more documented communication models. This study uses a descriptive approach based on a literature review to analyze how information technology is transforming interaction patterns, strategies, and negotiation processes in the modern business environment. The results indicate that information technology plays a strategic role in increasing the effectiveness of business communication and accelerating the negotiation process. Advantages such as cost savings, time flexibility, global access, and automated documentation are the main reasons for the increasing use of digital media in the business world. However, digital negotiation also presents challenges such as the loss of non-verbal context, the risk of miscommunication, data security issues, and limitations in interpersonal relationships. The conclusion of this study confirms that successful negotiations in the digital era are greatly influenced by interpersonal communication skills, digital literacy, appropriate media selection, and the implementation of negotiation strategies that adapt to technological changes.

This study investigates the adoption of adaptive DevOps practices in embedded systems used in safety-critical industrial applications. Traditional DevOps models, which are primarily designed for cloud-based systems, face significant challenges when applied to embedded platforms due to hardware constraints, real-time performance requirements, and stringent safety standards. The research focuses on developing a tailored DevOps framework that integrates continuous integration/continuous delivery (CI or CD) pipelines, automation, real-time monitoring, and safety assurance processes to enhance system reliability, performance, and compliance with regulatory standards. The study uses a case study methodology, involving embedded system teams across multiple industrial sectors, to assess the impact of these adapted DevOps practices on system stability and operational efficiency. Key findings show that the adoption of adaptive DevOps practices led to significant improvements in system reliability, performance, and deployment stability. Continuous feedback mechanisms allowed for early issue detection and faster resolution, leading to enhanced system uptime and responsiveness. Additionally, the integration of safety assurance into the DevOps pipeline ensured that safety-critical systems complied with required safety integrity levels and certification standards. The study further explores the integration of DevOps with embedded safety-critical systems, highlighting the benefits of cross-domain collaboration, enhanced communication, and the ability to address the unique challenges of these platforms. The research also underscores the limitations of conventional DevOps models in embedded systems and presents practical implications for the wider adoption of DevOps in safety-critical industrial applications. Future research is recommended to refine DevOps frameworks for embedded systems, integrating emerging technologies like the Industrial Internet of Things (IIoT) and Digital Twins to further optimize performance, security, and predictive maintenance.

This study develops a computational-based system to identify individual potential through the analysis of signature patterns using Artificial Neural Networks (ANN) and the Backpropagation algorithm. The research aims to explore and examine the effectiveness of applying ANN in recognizing and identifying signature patterns that are assumed to be related to an individual’s potential. In the data processing stage, Principal Component Analysis (PCA) is employed as a dimensionality reduction and feature extraction technique to optimally obtain the main characteristics of signature images. The system performance evaluation is conducted using a total of 80 signature images, consisting of 60 training data and 20 testing data. This study analyzes two network architecture configurations, namely a model with one hidden layer and a model with two hidden layers. The experimental results show that both network configurations achieve the same accuracy level of 92.5%. These findings indicate that the use of Artificial Neural Networks with the Backpropagation algorithm is effective in producing high accuracy in the signature pattern recognition process. Furthermore, the developed system has broad potential applications in the field of personal identification, such as employee evaluation, selection systems, and other applications across various organizational and industrial sectors.

The ever-changing and rapidly developing fashion trends have created a consumer culture among global society, driven by social media and digital marketing. Excessive consumption of clothing not only fulfills personal needs but also becomes an indicator of social status. As a result, the textile industry has experienced rapid growth, contributing significantly to the economy, especially in countries such as Indonesia and Vietnam. However, textile production uses energy sources that are not environmentally friendly, producing greenhouse gas emissions that have negative impacts on the environment, such as global warming and climate change. Indonesia and Vietnam, as one of the developing countries that rely on industry as a profitable sector, act as the largest contributors of emissions in Southeast Asia. Indonesia and Vietnam face major challenges in reducing environmental impacts while maintaining economic growth. Efforts to reduce greenhouse gas emissions are an important priority for long-term sustainability. The implementation of clear, firm and targeted regulations plays an important role in enforcing rules that can protect the environment from perpetrators of destruction by the industrial sector.

The shift in economic structure from a reliance on traditional agriculture to modern industrialization has yielded various competitive advantages for a region. The presence of leading sectors at the local level is a strong indicator of increased added value and high productivity, fueled by a healthy competitive climate among business actors. This phenomenon is closely related to the characteristics of the industrial sector, which possesses very strong forward and backward linkages, making it a primary driver of national economic growth. Progress in the manufacturing sector is not merely a measure of economic success but also serves as a driver of fiscal stability through massive employment absorption and increased foreign exchange earnings. Industrial growth is considered highly strategic because it holds significant potential for future expansion through technological innovation and production efficiency. This condition makes industrial cluster development an instrument for driving sustainable economic growth in Indonesia, while simultaneously strengthening the competitiveness of local products in the global market through the integration of a more organized production system.

This study aims to understand the meaning of adaptive leadership in modern organizations facing transformations in work culture during the era of disruption. Using a phenomenological qualitative approach within the social constructivist paradigm, this research explores the lived experiences of leaders in interpreting change, uncertainty, and human values amid digitalization and organizational complexity. Data were collected through in-depth interviews and non-participant observation involving eight leaders from various industrial sectors in Indonesia and were analyzed using Colaizzi’s phenomenological analysis technique. The findings reveal that adaptive leadership is understood as a reflective and social process rooted in value awareness, empathy, and collective learning capacity. Adaptive leaders not only direct change but also facilitate learning and build trust through open communication and collaborative work cultures. Adaptive values such as flexibility, empathy, and moral reflection are key to shaping inclusive and sustainable organizational cultural transformation. Theoretically, this study extends the discourse on adaptive leadership within phenomenological and social contexts, while practically emphasizing the importance of value-based reflective leadership in navigating disruptive change.

Industrialization is an economic development process characterized by the growth of the industrial sector as a key driver of economic progress in Indonesia. Beyond its role in creating added value and enhancing national competitiveness, industrialization is closely interconnected with other strategic sectors, including agriculture, services, infrastructure, and employment. Strong linkages between industry and these sectors are essential to ensure that economic growth is inclusive and sustainable. This study aims to analyze industrialization strategies that integrate and strengthen relationships with other sectors in the development process. The research employs a literature review method using a qualitative descriptive approach. The data are derived from secondary sources, including scientific journals, research articles, policy reports, and official publications relevant to industrial and sectoral development. The findings indicate that industrialization strategies aligned with agriculture can increase productivity and value-added processing, while linkages with the service sector and infrastructure development can improve efficiency, distribution networks, and market access. Furthermore, integrated industrialization contributes significantly to employment creation and regional development, reducing economic disparities between areas. Therefore, the formulation of an industrialization strategy that is well-coordinated with other sectors is crucial to achieving balanced economic growth, strengthening structural transformation, and supporting sustainable development in Indonesia.

The principle of comparative advantage explains that every country or society, like individuals, can gain benefits from their trade activities by exporting goods or services in which they have a major comparative advantage and importing goods or services in which they do not. Based on the law of comparative advantage, even though a country may be less efficient (having an absolute disadvantage) compared to other countries in the production process, the structure of industrial performance can be seen through the analysis of industrial sector behavior analyzed through various strategies such as Price, Product, and promotion. The theory of comparative advantage related to the exchange of goods is relevant as long as the traded goods are still useful. In other words, Performance is defined as the result of activities influenced by the structure and behavior within the industrial sector, where these results are often measured by the size of a company's market share or profitability in an industry. In more detail, performance can also be reflected in the form of efficiency, development (including market expansion), job creation, employee welfare, and a sense of group pride.

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.

Indonesia has extraordinary resources and potential in developing renewable energy sources (RES), but various obstacles must be overcome in implementing RES. The purpose of this study is to analyze the gap in the application of RES. This gap includes energy knowledge, community participation, battery waste management, service quality, regulation, and legal policy. This study uses a mixed-methods approach, by conducting a structured questionnaire in quantitative data collection, while qualitative data collection through special interviews, focused group discussions, and conducting policy regulation analysis. The results show that 62% of people do not understand RES, 28% are involved in project planning, and 74% are unaware of SOP (standard operating procedures) regarding battery waste recycling. The results of the correlation analysis reveal a positive relationship between the level of knowledge and interest in RES (R = 0.56). Also, the developed community-based participation model includes initial involvement, transparency of information, and local incentives. These findings further strengthen the compatibility of the innovation diffusion theory, planned behavior theory, SERVQUAL, and the theory of public interest. This study will make a practical contribution through evidence-based strategies in increasing resilience, especially for policymakers and energy service providers. The impact of the policy aspects includes the need for large reforms, education, public campaigns, and the realization of battery waste management systems. This study also provides an opportunity for further study by expanding the geographical scope and related industrial sectors.

This study aims to determine the partial and simultaneous influence between the variables of labor force, the agricultural sector, economic growth, and the industrial sector on the open unemployment rate in Aceh Province in the 2014–2023 period. The research method uses a quantitative approach by utilizing secondary data obtained from related agencies. The results showed that the labor force variable (X1) had a significant influence on the open unemployment rate with a significance value of 0.000 < 0.05. The agricultural sector variable (X2) was also proven to have a significant effect with a significance value of 0.002 < 0.05. Furthermore, economic growth (X3) has a significant influence on open unemployment with a significance value of 0.004 < 0.05. The industrial sector variable (X4) also showed a significant influence on the open unemployment rate in Aceh Province with a significance value of 0.015 < 0.05. Overall, these results indicate that employment dynamics and regional economic structure play an important role in determining the open unemployment rate during the study period. These findings provide a basis for policymakers to formulate more effective economic development strategies in reducing unemployment in the future.

Carbonate rocks are one of the most important geological resources with a significant role in various industrial sectors, particularly as the main raw material in cement, lime, and construction industries. This study aims to review the characteristics, quality, and industrial potential of three major carbonate rock types—limestone, dolomite, and marble—based on relevant scientific literature. The research employed a literature review method using a qualitative-descriptive approach through analysis and synthesis of previous studies. Data were collected from scientific publications addressing the mineralogical, chemical, and physical aspects of carbonate rocks and their implications for industrial performance. The findings indicate that the quality of carbonate rocks is largely determined by mineral composition (calcite and dolomite), chemical purity (CaO and MgO), and the presence of impurities such as silica, alumina, and iron oxides. High-purity limestone rich in calcite is identified as the most efficient raw material for cement and lime industries due to its stable processing behavior and lower energy requirements. Conversely, dolomite with high magnesium content requires process adjustments to prevent excessive MgO formation during calcination. Marble, both in natural and waste powder form, shows promising potential as a supplementary material in sustainable cement production. Overall, this study emphasizes that understanding the mineralogical and chemical variations of carbonate rocks is essential for optimizing their processing strategies and promoting sustainable industrial utilization 

This study aims to systematically review various studies that discuss the role of entrepreneurship education in developing students’ entrepreneurial spirit at the Senior High School (SMA) and Vocational High School (SMK) levels. The method used is the Systematic Literature Review (SLR), guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The reviewed articles cover publications from 2019 to 2025. Based on the selection of 20 scientific articles, the findings indicate that entrepreneurship education plays an important role in enhancing students’ creativity, innovation, self-confidence, and independence. The most effective learning strategies include project-based learning, business simulations, and collaboration with the industrial sector. In addition, teachers play a crucial role as facilitators in fostering an entrepreneurial mindset. The challenges identified include limited resources, insufficient teacher training, and suboptimal school policy support. Overall, entrepreneurship education has been proven to make a significant contribution to shaping entrepreneurial character and preparing students to face the challenges of the workforce.

Green accounting procedures have been adopted by numerous companies in response to the growing global focus on environmental responsibility. Nonetheless, monetary instability is still a major obstacle that can reduce productivity in Indonesia's manufacturing sector. The purpose of this research is to analyze industrial businesses listed on the Indonesia Stock Exchange from 2019 to 2023 and see how green accounting, financial crisis, and earnings management affect financial performance. The population in this study consists of 68 industrial sector companies, with a sample of 7 companies selected through purposive sampling based on 4 criteria. We used EViews software and Moderated Regression Analysis (MRA) for a quantitative approach. First, financial distress has a significant impact on financial performance. Second, green accounting has a significant positive effect on financial performance. Third, earnings management does not moderate the relationship between financial distress and financial performance. Fourth, earnings management does not moderate the relationship between green accounting and financial performance. With an Adjusted R-Square value of 79.73%, the study model has a high level of explanatory power. It may be used to explain the majority of the variation in financial performance. This shows that the constructed model is applicable and fits the empirical data well. Transparent reporting and real sustainability initiatives are still vital for improving company results, according to these results, as profits management methods do not change the impact of environmental and financial variables, which are important drivers of performance.

This research aims to empirically analyze the influence of intellectual capital and green accounting on the Company's performance. The importance of intangible resource management and compliance with environmental responsibility in creating a competitive advantage and the sustainability of the company's operations, especially during post-pandemic industrial dynamics. The phenomenon of declining Return on Assets (ROA) in several industrial sector companies also encourages the need to evaluate the effectiveness of the managerial strategies implemented. This study uses a quantitative approach with multiple linear regression analysis techniques. Samples were selected from 21 industrial sector companies that consistently published annual and sustainability reports during the study period. Secondary data is obtained from financial statements, sustainability reports, and official sources such as the IDX. The results of this study are expected to provide empirical evidence regarding the extent of the strategic role of intellectual capital and green accounting practices in increasing company efficiency, profitability, and legitimacy.

Digital transformation has brought about major changes in leadership patterns, especially in the public sector. In this context, digital leadership is key for leaders to drive innovation and adaptation to technological developments. However, the success of digital leadership is also inseparable from democratic leadership values that emphasize participation, openness, and collaboration. The synergy between these two values is an important foundation for building an effective and humanistic leadership style in the digital age. This study aims to analyze the role of Dedi Mulyadi's digital leadership in developing digital talent through the 2025 Jabar Istimewa Digital Academy (JIDA) program in West Java. The approach used is qualitative with a literature study method, sourced from 14 scientific journals and three official news reports. The results of the study show that Dedi Mulyadi applies a visionary, adaptive, and collaborative digital leadership style. Democratic values are also evident through a participatory approach that involves the community, educational institutions, and the industrial sector in the implementation of the JIDA 2025 program. This program has proven to strengthen digital literacy, expand access to technology training, and improve the readiness of West Java's human resources in facing the challenges of the digital economy. Thus, digital leadership combined with democratic principles plays an important role in realizing inclusive, competitive, and sustainable human resource development in the era of digital transformation.

A crane is a mechanical device used to move loads from one location to another, with gantry cranes being one of the most commonly used types in the industrial sector, particularly at container terminals. While offering numerous benefits, the use of gantry cranes also presents several risks, such as potential structural failure of the crane, falling loads due to damage to hooks or ropes, and collisions with other objects. Additionally, lifting loads beyond the crane’s capacity can lead to equipment damage and even fatal accidents caused by electric shocks or adverse weather conditions like strong winds and rain. This study aims to identify and minimize workplace accident risks by applying the SWIFT (Structured What-If Technique) method. This method identifies hazards through the "what if" approach and evaluates risks using the Risk Rating Number (RRN), which measures the severity and likelihood of potential hazards. The results of this study show that ARTG and STS gantry cranes have 25% of hazards in the priority one category, while RTG has 20% of hazards in the same priority. From these findings, it can be concluded that risk mitigation should be focused on the ARTG and STS types, which show higher risk proportions. The recommendations from this study are to enhance safety procedures, provide continuous training for operators, and conduct regular crane maintenance to reduce the potential for accidents. By implementing these mitigation measures, it is hoped that workplace safety will be maintained and the risk of workplace accidents at the Semarang Container Terminal can be minimized.

The industrial sector plays a crucial role in driving Indonesia’s economic growth, yet it also faces challenges in optimizing capital structure and shareholder value. One key financial policy that reflects managerial decisions and investor perceptions is the dividend payout ratio, which may influence a firm’s cost of equity. This study aims to examine the effect of the dividend payout ratio on the cost of equity among industrial sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2023 period. The research problem arises from inconsistent empirical evidence regarding whether higher dividend payments reduce or increase the cost of equity. Using a quantitative approach, secondary data were collected from annual financial reports, and samples were selected through purposive sampling, yielding 162 valid observations. Linear regression analysis was performed using EViews 13 software. The findings reveal a negative and statistically significant relationship between the dividend payout ratio and the cost of equity. The study concludes that higher dividend payouts can lower firms’ cost of equity, supporting the signaling theory.