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Material handling is a form of transportation or conveyance carried out in an industrial company environment. This activity involves moving raw materials, semi-finished goods, or finished goods from the location of origin to a predetermined location. One of the material handling is Doors operation which is located in the furnace machine section which functions as a gate to release a billet that has been heated. In Material Handling, especially in doors operation, an automatic control system using a Programmable Logic Controller is needed. The type of PLC used is the Siemens S7-300 PLC. With the method of observation (observation) in the field of all the equipment that is done and with the literature study can be known material handling control system, especially doors operation. From the results of research on material handling doors operation, it can be seen that this control aims as a gate to release a billet either by remote control or direct control, so that billets that have been heated to a temperature of 1200 degrees can come out effectively and will go to several stands to be printed. All stages in material handling, especially doors operation, can be monitored on the CCTV screen and HMI (Human Machine Interface).

The method applied in this study is Systematic Literature Review (SLR) and this work examines the pertinent literature between 2020 and 2024. The sources included here were Scopus, Web of Science, Google Scholar while using the following keywords; digital communication and profitability. The findings indicate that firms that engage in anticipatory digital media communication receive higher customer interactions of between 10-30% and continued patronage and sales. Furthermore, AI and big data help organizations tailor their communication strategies, maximize CLV and minimize operation expenditures. However, the study also revealed that digital skills’ dearth and organizational reluctance to embrace digital technology are a thorn for firms, particularly MSMEs, regarding the appropriate execution of digital communication strategies. Based on the findings of this study, the conclusion is that enhanced digital communication can enhance the profitability of the company as long as adequate technological platform and increased digitization of company’s employees are in place. As for the suggestions for future research, they include examining the effects of data privacy legislation on Digital Communications Planning and analyzing how manufacturing and, especially, financial service industries can leverage Digital Technology to create a sustainable competitive advantage.

Eco enzyme is a biocatalyst obtained from a fermentation process involving microorganisms, and has the potential to be applied in various environmental and industrial fields. This research aims to determine the optimum conditions for the volume of eco enzyme, determine the most influential variables between time and pH used during the eco enzyme fermentation process and the chemical characteristics of the eco enzyme product which was fermented for three months. Optimization method using the Central Composite Design – Response Surface Methodology (RSM) method. The comparison made in eco enzyme fermentation is water: organic waste: molasses = 10: 3: 1 = 5000 ml: 1500 gr: 500 gr. Fermentation for 3 months resulted in optimum conditions for making eco enzyme found at a reaction time of 96.213 and a pH of 5.207, with a maximum % yield of 10.24. The most influential variable in this research is pH. FTIR test results show the strongest absorption in the -OH (hydroxyl) group with alcohol properties at a wavelength of 3307.99 cm⁻¹, with a low transmittance of 48.2%. This group has antimicrobial properties that support the growth of good bacteria and other microbes.

This study aims to analyze the effect of return on asset (ROA), current ratio (CR), and company size on the value of companies in the metal and similar industrial sub-sector listed on the Indonesia Stock Exchange during the 2021-2022 period. The research was motivated by the need to understand how financial indicators and company characteristics influence the overall market value of companies in this particular industry. The hypothesis of the study was formulated based on theoretical frameworks and previous empirical research findings. To conduct this study, a purposive sampling method was employed, which involved selecting companies based on certain predetermined criteria. A total of 58 companies from the metal and related sectors were included in the sample. Data for the study was gathered from annual financial reports and analyzed using multiple linear regression techniques to test the proposed hypotheses.The results indicate that company size does not have a significant effect on the company value, suggesting that factors such as financial performance may be more crucial in determining value than the size of the company itself. However, the study found that both return on assets (ROA) and current ratio (CR) have a significant positive impact on company value. These findings emphasize the importance of efficient asset management and liquidity in increasing a company’s market value. This study contributes to a deeper understanding of the financial factors that influence the value of companies in the metal and industrial sectors and provides insights for investors and management.

Digitalization in human resource management helps companies modernize HR functions and provides competitive advantages.At the same time, changes in work styles and demand for HR skills are also required.The aim of this research is to introduce the phenomenon of digitalization into the literature, investigate its current main benefits and risks, and analyze the impact of digitalization on the competencies and roles of human resources professionals.This qualitative study includes secondary data describing current levels of digital skills, based on more than 7 responses.respondents from six EU member states (Germany, Finland, UK, Portugal, Sweden and Slovakia.Contains analysis).Primary data analysis of HR social media skills collected in five European countries participating in the SHARPEN project is also presented here.This article also discusses recent trends in HR specialist skills.The results obtained indicate that HR professionals tend to be reluctant to adopt these technologies.The results of this survey highlight the importance of digitalization and the increasing need for digital skills for human resources in recent years.

This study evaluates the investment feasibility of UD Al-Mustofa, a tobacco business in Kendal, by considering aspects of production, storage capacity, waste management, and market expansion opportunities. UD Al-Mustofa is strategically located, ensuring high mobility, optimal production scale, and an effective waste management system, which includes recycling solid waste into organic fertilizer, processing liquid waste, and mitigating gas emissions by conducting tobacco drying in areas far from residential zones. Although the business has not yet obtained certification for international markets, financial analysis indicates that investment in this venture is viable. The calculations show a payback period of 2.01 years, significantly shorter than the projected 10-year investment lifespan. The Net Present Value (NPV) reaches IDR 489,345,567, indicating positive returns, with a profitability index of 0.854. The Internal Rate of Return (IRR) of 46% significantly exceeds Bank Indonesia’s interest rate of 5.75% in 2024, while the Average Rate of Return (ARR) of 78.8% is higher than the cost of capital. Based on these findings, UD Al-Mustofa has strong potential for further development, both in terms of production and market expansion..

Bio-inspired engineering is a rapidly growing field that applies principles found in nature to develop innovative solutions in structural engineering, materials science, and robotics. This paper explores biomimicry in various disciplines, such as self-cleaning surfaces inspired by lotus leaves, energy-efficient building designs modeled after termite mounds, and ultra-lightweight yet durable materials inspired by spider silk. The study highlights the role of computational modeling in replicating biological structures and discusses the challenges of translating natural efficiencies into engineered systems. Additionally, this research examines the environmental impact of bio-inspired materials and their potential to replace conventional, resource-intensive materials in industries such as construction, aerospace, and biomedical engineering.

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.

Structural transformation is an important process in the economic development of a country. In Indonesia, the plan to move the National Capital City (IKN) from Jakarta to Nusantara in East Kalimantan is one of the strategic steps in accelerating structural transformationThe methodology used in this study is a qualitative and quantitative approach. The results of the study show that the acceleration of structural transformation through the development of IKN has a significant impact on the formation of a new economic base and increasing Indonesia's competitiveness. The formation of a new economic base in IKN can be seen from the emergence of technology and innovation-based industrial clusters. The impact on national competitiveness can be seen from the increase in productivity and innovation capacityThe analysis of the acceleration of structural transformation through the development of the IKN shows a fundamental change in Indonesia's economic base. The development of IKN as a smart forest city accelerates structural transformation through three main mechanisms. The impact on the formation of a new economic base can be seen from the shift in the economic structure in the IKN area and its surroundings. Structural transformation is also reflected in changes in the composition of the workforce and investment patterns. The impact analysis on Indonesia's competitiveness shows a significant increase in several dimensions

This study aims to evaluate the efficiency of Batam’s regional investment policies, focusing on their effectiveness in fostering sustainable economic growth. Batam, one of Indonesia's fastest-growing cities, has experienced significant industrial development, making investment policies a crucial factor in ensuring continued economic progress. The research examines key aspects of these policies, including efforts to reduce bureaucracy in investment processes, create incentives that align with regional development goals, and enhance the monitoring of investment activities. By analyzing the current policies through a comprehensive evaluation framework, this study identifies challenges such as institutional dualism, legal uncertainties, and slow investment growth, which hinder the city's economic development. Additionally, it explores solutions for optimizing these policies to improve their efficiency, thereby contributing to sustainable growth and greater competitiveness for Batam. The findings of this study provide critical insights for policymakers seeking to enhance Batam's investment climate and overall economic performance.

This research aims to examine the management of environmental risks arising from the use of fossil energy and strategies for transitioning to green energy in the business sector. The main focus of the research is to analyze the managerial role in facing environmental regulatory challenges, as well as how leaders and managers can develop a culture of sustainability within the organization. This research uses a qualitative approach with in-depth interview techniques and document analysis on large companies in the industrial and manufacturing sectors that have adopted or are transitioning to green energy, in the period June-September 2024. The results show that companies that successfully reduce environmental risks have a clear and strong energy transition strategy, including investments in green technology and managerial training related to sustainability. The biggest challenges faced are government policy uncertainty and the high costs involved in green energy implementation. In addition, this study also highlights the important role of visionary leaders and competent managers in driving organizational culture change towards sustainability. The implication of this research is the importance of a proactive, innovative management approach and compliance with environmental regulations in the face of green energy transition.

This study investigates the influence of live streaming commerce and online customer reviews on impulsive buying behavior, with e-trust as an intervening variable, focusing on Somethinc cosmetics among Generation Z consumers. Utilizing a quantitative approach, the research gathered data from 100 respondents selected through purposive sampling in Palangka Raya City. The Partial Least Square - Structural Equation Model (PLS-SEM) was employed to analyze the relationships between variables. The findings reveal that live streaming commerce has a significant positive effect on both e-trust and impulsive buying, emphasizing its role as an interactive and engaging marketing tool. Online customer reviews also positively impact e-trust and impulsive buying, albeit with a weaker effect. However, the mediating role of e-trust between these factors and impulsive buying is not statistically significant, suggesting that Generation Z consumers prioritize interactive and social aspects over trust in their purchasing decisions. This study provides valuable insights for marketers aiming to enhance impulsive buying through digital marketing strategies. Future research is encouraged to explore these relationships across various industries and demographics to broaden the understanding of impulsive buying behavior.  

Stock returns are one of the indicators in investor investment decision making. Factors that influence stock returns are internal (fundamental) factors, namely ROA, DPR and EPS. The purpose of this study was to determine: the effect of Return On Asset (ROA) on Stock Returns, the effect of Dividend Payout Ratio (DPR) on Stock Returns, and the effect of Earnings Per Share (EPS) on Stock Returns in Industrial Sector companies listed on the Indonesia Stock Exchange in 2020-2022. The data analysis method used is multiple linear regression analysis. Findings: Return On Asset (ROA) has a positive and significant effect on Stock Returns, Dividend Payout Ratio (DPR) does not affect Stock Returns, and Earnings Per Share (EPS) does not affect Stock Returns. The implication of this study for investors is that they can use ROA as the main indicator in analyzing potential opportunities to gain profit from capital gains from stock returns before making investment decisions. The implication for management is to focus on strategies to optimize the use of assets to generate greater profits. Meanwhile, the implications for regulators and policy makers are to encourage transparency in financial reports and the preparation of capital market literacy programs.  

Indonesia is a country rich in natural resources, many plants can grow well in this country. Plants are very useful for humans, because plants are a source of food and medicine for humans. The development of the era makes herbal plants not only used as medicinal ingredients, but can also be used as food ingredients. Many herbal plants can be used for food ingredients, one of which is the binahong plant ( anredera cordifolia ). Binahong plants grow creeping and easy to grow anywhere . Usually found in people's yards for fences, besides that it can be consumed to increase body immunity by boiling and then drinking. All parts of the binahong plant can be used for medicine. Binahong leaves contain alkaloid compounds, flavonoids, polyphenols, saponins and antarquinones.

The purpose of this research was to determine the readiness and ability of teachers to face information and communication technology-based learning in the Industrial Revolution Era 4.0. The research method in this article is qualitative. The type is literature research, and the data analysis is descriptive analysis. Data obtained from library research. The data collection technique used by this researcher is a literature study. Data analysis techniques in this study use qualitative analysis techniques in a deductive way. Technology is developing exponentially, changing the way humans move, communicate, communicate and interact. Especially now that there is an era of the Industrial Revolution 4.0 known as the era of disruption. Education is one aspect affected by RI 4.0. Learning 4.0 requires a technological approach as a tool in the learning process. Teachers need to interconnect with subjects to gain relevant learning experiences. Teachers have only mastered basic applications commonly used daily, but are reluctant to learn to use new applications that can facilitate their work. Teachers in the digital era must have a mindset. In connection with that, teachers are required to be good at using technology in learning. The use of technology in learning is a necessity.

The digital era in the industrial revolution 4.0 has brought significant changes in various aspects of life, including education. With the presence of increasingly sophisticated digital technology and the widespread use of Artificial Intelligence (AI), the education system is currently faced with new challenges to adapt to the times. However, the emergence of AI also has a negative impact on education, especially in the context of Technology and Vocational Education, namely increasing plagiarism, excessive dependence, lack of skill development, and weakening of culture, norms, and interactions between students and lecturers. This study aims to analyze the moral and ethical role in the use of AI in Technology and Vocational Education. The literature review research method is used in this study with a qualitative approach. Secondary data collection was carried out with the help of Google Scholar web technology and the bibliometric processing application VOSViewer. The data analysis technique applies the Miles & Hubberman model which consists of: data collection, data reduction, data presentation, and conclusion drawn. The results of the study show that morals and ethics play a central role in the utilization of artificial intelligence (AI) in Technology and Vocational Education in the digital era of the Industrial Revolution 4.0. The study also recommends strategic steps to ensure the use of AI in Technology and Vocational Education remains ethical and effective.

This study attempts to examine the influence of three economic factors, namely capital, wage rate, and output value in the context of labor absorption in the industrial sector operating in Java. The study uses a quantitative approach method by utilizing secondary data sourced from BPS during the period 2018-2023, where panel data regression analysis with the Fixed Effect Model (FEM) approach is applied to test the relationship between variables. The results of the analysis indicate that the capital factor does not have a significant impact on the labor absorption process. Meanwhile, the wage level shows a correlation in the same direction as labor absorption, this influence is not proven to be significant when tested statistically. On the other hand, the output value shows a significant positive influence on labor absorption. These findings reveal how complex the interactions between economic factors are in the Java region, which have important implications for the development of employment policies and inclusive development strategies. A comprehensive approach is needed to support the sustainability of industrial growth and improve the quality of human resources in the future.

This research aims to determine the effect of Profitability and Leverage on Company Value in the Food and Beverage Industry listed on the Indonesian Stock Exchange in the Pre and Post Covid 19 Period. This research uses quantitative methods, with secondary data obtained from the annual financial reports of the food and beverage industry listed on the Indonesia Stock Exchange for the 2018-2022 period. The population and sample in this research are the top 5 food and beverage industry companies listed on the Indonesia Stock Exchange during the 2018 - 2022 period. The sampling technique used the purposive sampling method. The analysis methods are descriptive statistics, classical assumption testing, multiple linear regression testing and hypothesis testing. The research results show that the Profitability and Leverage variables do not have a partial positive effect on Company Value. Meanwhile, the Profitability and Leverage variables do not have a positive effect on Company Value simultaneously.

Talent management in the digital era is a complex phenomenon that requires a comprehensive approach in dealing with contemporary organizational transformation. This study aims to explore the dynamics of talent management through a systematic literature review of ten reputable scientific journals covering various organizational and industrial contexts. The research method uses the Systematic Literature Review (SLR) approach with content analysis and narrative synthesis techniques. The findings of the study reveal that talent management is no longer just an administrative function but a strategic strategy that determines the sustainability and competitiveness of organizations in the digital era. The results of the study identify four main dimensions in talent management in the digital era, namely: transformation of management approaches, technology adaptation, development of individual competencies, and the formation of a responsive organizational ecosystem. This research makes a theoretical contribution to produce a comprehensive conceptual framework of cutting-edge talent management practices. The practical implications show the need for a multidimensional approach that pays attention to the technological, psychological, and organizational aspects of managing human resources. This research offers a holistic perspective in understanding the complexity of talent management in the sustainable digital era.

Textile industries in Bangladesh are shifting towards a sustainable future, and as a result, many firms are implementing Green Supply chain Management (GSCM). This study aims to evaluate if practicing GSCM in different areas of industry positively impacts environmental, economic, and social performance. Regarding this issue, this paper observes the scopes, drivers, and barriers of practicing GSCM and reviews it. Therefore, the research investigates, through empirical analysis based on responses from 104 textile firms, the influence of GSCM practices on environmental, economic, and social performance. Results confirm that GSCM improves environmental sustainability by reducing emissions, waste, and resource use. It enhances economic performance through cost savings and efficiency gains and also offers several social advantages, improved worker satisfaction, and community engagement. The results bring to light the potential role that GSCM can play in making the textile industry sustainable, along with suggesting policy interventions and further research on longitudinal impacts and advanced technological integration.