Publication Search

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

The physiological changes that occur during pregnancy, both physically and mentally, may be rather uncomfortable, particularly in the second and third trimesters. Pregnant women often report back discomfort, muscular aches, trouble sleeping, excessive exhaustion, and irregular sleep patterns. Mothers' physical and mental health as well as the health of their unborn children may be significantly impacted by inadequate sleep quality during pregnancy. To enhance comfort and the quality of sleep during pregnancy, one non-pharmacological technique is to use an aromatherapy maternity pillow. An ergonomic and ecologically sustainable invention to enhance mother comfort during pregnancy was the goal of this research, which intended to produce a Pregnancy Pillow Therapy product with pineapple leaf fiber and aromatherapy. A descriptive research design using a prototype creation technique was used in this study. The stages of the research included problem identification, literature review, product design, material selection, prototype manufacturing, and product evaluation. Data were collected through literature studies and observations related to sleep discomfort in pregnancy, maternity pillow utilization, aromatherapy therapy, and pineapple leaf fiber characteristics. The developed product was designed ergonomically to support the back, abdomen, waist, and legs of pregnant women. The addition of aromatherapy was intended to provide a relaxing effect and improve sleep quality. The use of pineapple leaf fiber also supports environmentally friendly product innovation through agricultural waste utilization. The results indicate that Pregnancy Pillow Therapy has the potential to become a supportive product for improving comfort and sleep quality among pregnant women. Further studies are recommended to evaluate product effectiveness directly among pregnant women.

Economic growth in ASEAN countries has shown heterogeneous dynamics, particularly in the post-pandemic period. This study aims to analyze the effect of economic complexity, manufacturing value added, and foreign direct investment on economic growth in ASEAN-8 countries during 2015–2024. The study employs a quantitative explanatory approach using panel data regression analysis. The data were obtained from the World Development Indicators (World Bank) and Harvard Growth Lab. Based on the Chow and Hausman tests, the Fixed Effect Model (FEM) was selected as the best estimation model. The results indicate that economic complexity has a negative and significant effect on economic growth, suggesting that increasing economic sophistication does not automatically promote growth when industrial and institutional readiness remain limited. Meanwhile, the manufacturing sector has a positive but insignificant effect on economic growth. In contrast, foreign direct investment has a positive and significant effect on economic growth through capital accumulation and technology transfer. Simultaneously, all independent variables significantly affect economic growth in ASEAN-8 countries. These findings imply the importance of strengthening industrial capacity, institutional quality, and technological readiness to support sustainable economic growth in ASEAN countries.

Strategic management plays a crucial role in ensuring the operational sustainability and competitiveness of PT Karya Giri Palma, a manufacturing company specializing in springbed and furniture production. In an increasingly competitive market environment and amid ongoing production challenges, the company is required to implement well-structured and adaptive strategic management practices. This study employs a qualitative research approach to explore the implementation of strategic management within the organization and to identify obstacles that arise during its integration into daily operational activities. Data were collected through in-depth observations and interviews to obtain a comprehensive understanding of managerial practices and employee involvement. The findings reveal that the active participation of both management and employees in the formulation and implementation of strategies significantly contributes to improved employee motivation, higher productivity levels, and enhanced work quality. Strategic alignment between organizational goals and employee roles encourages a stronger sense of responsibility and commitment among employees. However, several challenges remain, particularly in cross-divisional coordination and the consistent execution of strategies at the operational level. Therefore, this study recommends strengthening interdepartmental communication, optimizing the use of management information systems, and enhancing human resource capabilities through continuous training. These findings may serve as a valuable reference for similar manufacturing companies seeking to optimize strategic management practices in order to achieve sustainable performance and long-term competitiveness.

Manufacturing accounts for about 28.9% of global final energy use, making inefficient operations a major source of cost and greenhouse gas emissions. This review synthesizes how artificial intelligence supports energy optimization within Industry 4.0-enabled manufacturing systems. It organizes methods into four families: machine learning for forecasting and anomaly detection, deep learning for nonlinear and temporal modelling, reinforcement learning for adaptive scheduling and real-time control, and metaheuristics for balancing energy, throughput, and quality objectives. Applications span plant-level demand prediction and peak management, shop-floor rescheduling under dynamic pricing, equipment-level optimization through predictive maintenance, and system-wide planning using digital twins and cyber-physical integration. Reported benefits include lower energy costs, reduced downtime, improved productivity, and progress toward decarbonization. However, large-scale deployment is constrained by poor data quality and interoperability across IIoT, MES, ERP, and EMS platforms, high implementation and computational costs, skills gaps, and weak governance and benchmarking standards. Emerging solutions include federated learning and edge AI for privacy-preserving, low-latency analytics, explainable AI to enhance trust and auditability, tighter smart-grid integration, and circular economy-driven optimization. The review concludes with practical priorities for reliable, transparent, and scalable AI-enabled energy management.

The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This research employs a qualitative approach with a case study design. Data were collected through participatory observation, semi-structured interviews, and document analysis, including Standard Operating Procedures (SOPs), sanitation checklists, and temperature control records. Data validity was strengthened through triangulation and member checking, while thematic analysis was used to identify key implementation patterns. The findings indicate that the implementation of personal hygiene, environmental sanitation, and Good Manufacturing Practices (GMP) has generally complied with most of the requirements of Good Processed Food Manufacturing Practices (CPPOB). The availability of sanitation facilities, periodic medical check-ups, equipment maintenance, and FIFO-based storage systems demonstrate management commitment to preventive risk control. However, inconsistencies in handwashing practices and minor construction details that do not fully meet hygienic design standards indicate areas requiring improvement. Overall, hygiene and sanitation implementation in the Pastry Division has been effective in supporting food safety. Strengthening behavioral compliance, continuous training, and facility optimization are recommended to achieve a more sustainable and comprehensive food safety management system.

This study examines the relationship between Corporate Social Responsibility (CSR) disclosure, environmental performance, and tax avoidance among food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the period 2021–2024. The research aims to determine whether CSR disclosure acts as a bridge linking environmental responsibility and fiscal behavior, and whether environmental performance moderates this relationship. Using a quantitative approach, data were collected from annual and sustainability reports, yielding 76 firm-year observations analyzed through multiple linear regression with moderating effects. The findings reveal that CSR disclosure has a significant negative effect on tax avoidance, while environmental performance also negatively affects tax avoidance and strengthens the impact of CSR disclosure. These results support the ethical alignment channel, suggesting that companies with strong environmental and social commitments tend to demonstrate higher fiscal responsibility. The implications of this study highlight the importance of integrating CSR and environmental strategies into corporate governance to promote transparency, ethical taxation, and sustainable business practices in Indonesia’s manufacturing sector.

Plastic waste has become one of the main environmental problems due to its nature, which is difficult to decompose naturally and can cause environmental pollution. One alternative waste treatment method that can be applied is to use a plastic melter to melt and recycle plastic waste into useful products. However, the design of plastic melters often lacks consideration of structural strength and safety aspects during the operation process. This study aims to design and engineer a plastic melter using the Finite Element Analysis (FEA) simulation approach to analyze structural resistance to thermal and mechanical loads that occur during the operation process. The research method was carried out through 3D design modeling of plastic melter components using Solidworks software, followed by analysis with FEA simulation on the main component, namely the melting tube. The parameters analyzed include the distribution of von Mises stress, the amount of displacement, and the safety factor. The analysis results show that the analyzed components experience von Mises stress distribution and displacement that are still below the material tolerance limits, with safety factor values above the recommended safety limits. Thus, the resulting plastic melter design is declared safe and can proceed to the manufacturing process. Therefore, the plastic melter design is safe, strong, and feasible to be realized as an effective and sustainable plastic waste processing technology solution.

This study investigates biomass-derived surface engineering of AISI 1020 steel for electromedical applications using galam wood charcoal and chicken bone waste as carburizing media. Surface modification is required to improve the mechanical performance of low-carbon steel, particularly in applications that demand high wear resistance and long-term durability. A pack carburizing approach was applied using various ratios of biomass-derived media at a treatment temperature of 800 °C for 2 hours. Chemical composition was analyzed using Optical Emission Spectroscopy (OES), surface hardness was evaluated using Micro Vickers hardness testing, and microstructural characteristics were observed using optical microscopy. The results show a significant increase in surface carbon content with increasing fractions of chicken bone powder, indicating its effectiveness as a carbon donor and diffusion promoter. The surface hardness increased from approximately 150 HV in the untreated condition to a maximum of about 860 HV in the treated specimen. Microstructural observations revealed the formation of a distinct carburized layer with increasing thickness and uniformity, consistent with enhanced carbon diffusion and surface strengthening. These findings demonstrate that biomass-derived surface engineering provides an effective and sustainable approach for improving the surface properties of low-carbon steel. The proposed method offers strong potential for environmentally friendly manufacturing of durable and reliable electromedical components.

Regional economic development requires understanding the structure and performance of economic sectors to create effective policies. PadangiCity, the capital of West SumatraiProvince, plays a strategic role in the regional economy. However, differences in sector contributions and growth indicate structural imbalances that need attention. This studyiaims to identify leading and potential economic sectors in Padang City to support sustainable development planning. The study uses Location Quotient (LQ), iDynamic Location Quotient (DLQ), and the Growth Ratio Model (GRM) to analyze secondary data on GrossiRegional Domestic Product (GRDP) at constant 2010 prices from 2020 to 2024, sourced from the CentraliBureau of Statistics of Padang City and West Sumatra Province. LQ results show that most sectors in Padang City are base sectors, especially business services, transportation and warehousing, ifinancial and insurance services, real estate, and wholesale and retail trade. DLQ analysis indicates that mining and quarrying, trade, transportation and warehousing, iinformation and communication, and health and social services have higher growth prospects than the reference region. GRM results show that trade, information andicommunication, real estate, health services, andiother services are leading sectors with good performance and growth potential. In contrast, agriculture, manufacturing, and construction are still lagging sectors. These findings highlight a structural shift in Padang City’s economy toward service-sector dominance and underline the need for sustainable, inclusive, and adaptive development policies to support long-term economic growth.

Strengthening the family economy through the development of productive household-based businesses is an important strategy in supporting sustainable rural community development. This approach is considered effective because it utilizes the potential of local resources and involves the active role of family members, especially housewives, in economic activities. One form of business that is relatively easy to implement is the production of hygienic laundry soap, considering the simple manufacturing process, affordable production costs, and has a relatively stable level of market need and demand. These conditions make this business an opportunity to be developed as a productive household economic activity. This study aims to analyze the implementation of home-based hygienic laundry soap production training and examine its impact on improving the skills and economic independence of housewives in Jambur Village, Padang Matinggi . The focus of the study is directed at the training process, the level of understanding of participants, and changes in attitudes and economic capabilities after participating in the activity. The approach used in this study is a descriptive qualitative method, which allows researchers to obtain an in-depth picture of the program implementation and participants' experiences. Data collection techniques are carried out through direct observation, interviews with participants and related parties, and documentation of activities to support research data. The research results show that the training on making hygienic laundry soap had a positive impact on improving the knowledge and skills of housewives in producing safe, hygienic, and marketable soap. Participants not only understood the production stages but also learned how to make soap independently. Furthermore, the training fostered entrepreneurial motivation and awareness of home-based business opportunities, thereby opening up opportunities to increase family income. Therefore, this training program significantly contributes to women's empowerment and strengthening family economies at the village level through the development of productive, home-based businesses.

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 determine the cost of coffee production as a basis for setting the selling price in the Sarah Jaya coffee business. Accurate calculation of production costs is essential because it directly affects pricing decisions and the level of profit generated by the business. The full costing method is used to determine the cost of production, as this method provides a more comprehensive and detailed calculation by including all cost components required in the production process, such as raw material costs, direct labor costs, and both fixed and variable manufacturing Overhead costs. Determining the cost of production using an appropriate method can significantly influence the determination of the selling price and ensure that the business achieves sustainable profitability. The application of the full costing method is expected to provide practical benefits for Small and Medium Enterprises (MSMEs), particularly in improving financial management and decision-making accuracy. The results of this study indicate that the calculation of the cost of production for the Sarah Jaya coffee business conducted by the business owner using the full costing method aligns well with the determination of the selling price and the profit generated. This is because the full costing method takes into account more detailed and comprehensive cost elements, resulting in a more realistic and reliable calculation of production costs.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

Increased production in the lubricant industry has become a significant issue because it generates production waste in the form of packaging, plastic, and paper waste as a direct consequence of manufacturing activities. Proper and systematic waste management is essential to reduce environmental impacts, comply with regulations, and support responsible and sustainable business practices. Lubricant production waste can damage the ecosystem and surrounding environment if not managed properly, so continuous innovation is needed to minimize environmental risks and reduce potential economic losses for the company. This study aims to analyze and implement effective waste management strategies using a combination of qualitative and quantitative approaches, including in-depth interviews with relevant stakeholders and analysis of secondary data obtained from company records. The waste management process begins with several waste reduction programs applied during the production stage to limit waste generation. Furthermore, the waste storage facility (TPS) available on the company’s premises, covering an area of 59 m², is capable of accommodating approximately 60% of the total waste that must be processed internally before further treatment or disposal.

This study investigates the relationship between corporate governance characteristics, financial structure, and Enterprise Risk Management (ERM) disclosure in Indonesian non-financial firms. Focusing on manufacturing companies listed on the Indonesia Stock Exchange in 2023, the analysis examines whether board size, the proportion of independent commissioners, and leverage influence the extent of ERM disclosure. Using a quantitative approach, multiple linear regression is applied to secondary data obtained from firms’ annual reports. The findings indicate that board size and the proportion of independent commissioners do not have a significant effect on ERM disclosure, while leverage exhibits a positive and significant relationship. This result suggests that firms with higher debt levels are more inclined to enhance risk disclosure as a mechanism to address information asymmetry and demonstrate accountability to investors and creditors. The study contributes to the ERM and corporate governance literature by providing evidence from an emerging market setting and highlighting the practical importance of financial structure in shaping risk transparency, offering relevant insights for corporate decision-makers and regulators to strengthen sustainable risk management practices.

The production sector at both the district and city levels is crucial for fostering structural change and boosting economic growth in specific areas. Still, many regions struggle with issues such as linking supply chains, readiness for technology, quality of labor, and efficient policies. This research intends to examine the strategies of the manufacturing sector at the district and city levels to enhance regional competitiveness and promote sustainable economic growth. The study utilizes a descriptive qualitative method based on a review of literature from academic journals, policy papers, and official statistics related to manufacturing progress. Results reveal that several important factors strongly affect regional manufacturing growth. These include the connection of local supply chains, industry strategies focused on the market, the implementation of digital and smart manufacturing methods, innovation encouraged by educational institutions and organizations, and the influence of local governments in developing an effective industrial policy atmosphere. Furthermore, creating designated industrial areas and managing operations efficiently significantly helps attract investments and boost the manufacturing output of regions. The research concludes that a cohesive and tailored manufacturing strategy for each region is vital for improving local productivity, generating jobs, and enhancing economic stability at both district and city scales.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

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 community service program aims to introduce ecoprint as an alternative environmentally friendly fashion product and encourage the development of alternative economy-based MSMEs at SD Negeri 040479 Perteguhen. The program was carried out in several stages, namely socialization of the concepts of sustainable fashion and alternative economy, training in ecoprint techniques using natural materials such as teak leaves, cassava leaves, and bougainvillea flowers, as well as assistance in production and product development. Participants in the activity consisted of teachers, parents, and members of the community around the school who were interested in the development of creative MSMEs. The results of the activity showed an increase in participants’ understanding of the impact of the fashion industry on the environment and the importance of using environmentally friendly materials. Participants also demonstrated improved skills in ecoprint product manufacturing, from fabric preparation and motif arrangement to color fixation. The resulting products, such as cloth bags, scarves, and tablecloths, are aesthetically pleasing, unique, and have the potential to be sold as valuable local products. In addition, this activity encouraged participants’ creativity in creating a variety of motifs and colors, as well as building awareness of the importance of sustainable innovation. From a socio-economic perspective, this activity opens up opportunities for the development of local MSMEs through the sustainable use of natural resources and the application of alternative economic principles. The formation of a creative community involving schools and the community demonstrates synergy in the development of environmentally-oriented businesses. This activity is expected to become a model for the development of creative MSMEs based on eco-friendly and local resources, while supporting the principles of sustainable development and responsible consumption and production.