The aim of this study is to test the influence of the board's gender diversity on firm value through sustainability report disclosure. The research also examines the effect of industry profile in moderating the board's gender diversity relationship with sustainability report disclosure and the moderation of sustainable investment practices in the relationship between sustainability report disclosure and firm value. The testing uses panel data regression to analyze 306 sample data from non-financial companies listed on the Indonesia Stock Exchange that comply with the sample selection criteria. The research findings prove that board gender diversity is able to increase firm value because investors view the presence of female board members as reflecting a good corporate governance mechanism. This research also proves that the presence of women board members reduces the level of sustainability report disclosure. The effect of board gender diversity on sustainability report disclosure is reduced in high-profile companies. High-profile companies experience strong pressure to make disclosures of activities in which environmental and social impacts are transparent. Conversely, this study cannot demonstrate a mediating role of sustainability report disclosure on the effect of board gender diversity on increasing firm value. The interaction effect of sustainable investment practices is also not significant in this study. The research findings provide an understanding of board gender diversity, sustainability report disclosure, and firm value within the multi-theoretical framework of agency theory, stakeholder theory, and social role theory.

The company seeks the role of internal function and external partnership to eliminate or reduce the waste generated and its impact on the environment. Internally, Top management needs to commit and actively increase the participation of employees in implementing total quality management and production waste management to enhance business performance. This study surveyed the companies engaged in the industry sector producing finished products while generating waste in the production process. Data collection is carried out using online questionnaires through Google Forms with data analysis using PLS software. One hundred and thirty-six (136) manufacturing companies located in East Java, Indonesia. The results of the data analysis indicated that top management commitment significantly influences firm performance, employee empowerment, and total quality management. Employee empowerment impacts total quality management and production waste management. Total quality management positively influences production waste management and firm performance. In addition, production waste management significantly impacts the firm performance. In addition, top management commitment indirectly affects firm performance through the mediating role of total quality management. However, the mediating effect of production waste management is insignificant in translating top management commitments to firm performance. The result provides a theoretical contribution to developing green supply chain practices and sustainability. Furthermore, the practical contribution provides insight for top management companies that production waste management can improve performance with high management commitment and employee empowerment.

This study aims to investigate and scrutinize the financial performance, represented by the Return on Asset (ROA), considering the mediating roles of Corporate Social Responsibility (CSR) and Sustainable Development Goals (SDGs). The sample selection method used purposive sampling, which used several criteria with the research object being the Mining industry listed on the Indonesia Stock Exchange and the National Center for Sustainability Reporting (NCSR) in 2020-2021. The data were sourced from secondary materials derived from several mining companies. The research employed Structural Equation Modeling (SEM) for data analysis. The results of the study indicate that: (1) CSR has a significant positive effect on SDGs; (2) SDGs have a significant positive effect on financial performance; (3) CSR has a significant positive effect on financial performance; and (4) SDGs can mediate CSR and financial performance. Companies should consider enhancing their CSR disclosure, as it is positively related to SDG achievement and financial performance. Moreover, regulatory bodies may encourage firms to adopt SDGs as part of their CSR initiatives, which could lead to both societal and economic benefits.

Financial system stability is not only supported by the banking sector, but also the role of insurance companies that operate efficiently. The study aims to analyze the efficiency performance of general insurance companies using two stages of data envelopment analysis during the 2017 – 2018 period. The first stage of efficiency measurement using a non-parametric data envelopment analysis (DEA) approach shows the efficiency level of general insurance companies experiencing a positive trend. The performance of general insurance companies in 2018 was more efficient than in 2017 based on the value of technical efficiency (CRS) and the value of pure technical efficiency (VRS). This means that in general there has been an increase in the efficiency of general insurance companies in Indonesia from 2017 to 2018. Testing the efficiency determinants in the second stage using the Tobit regression model found that the cost ratio is the only factor that significantly influences the efficiency level of general insurance companies in Indonesia. Meanwhile, company ownership and investment adequacy ratio have no significant effect on the efficiency level of general insurance companies in Indonesia. The results of the study provide recommendations to the management of general insurance companies that efficiency performance has not reached the maximum, and to improve it, it is necessary to control costs without disturbing routine operations and development activities.

Calculation plate floor concrete, using a static load which is a gravity load consisting of a live load and a dead load, with various of boundary conditions, floor slabs are orthotropic plate, and rarely account for dynamic loads due to vertical seismic loads, with other boundary conditions, such as Clamped, simply supported, ES (Elastic Support), ER (Elastic Restraint), and ESR (Elastic Support and Restraint). Analytical solution based on the Modified Bolotin Method to analyze floor slab under Vertical Peak Ground Acceleration (PGAv), the natural frequency solution based on auxiliary Levy’s type problems. Dynamic vertical seismic loads using multiline, first line at 0 < t < 0.5 is linear equation, second line at 0.05 < t t 0.6 is linear equation, vertical seismic load with two conditions far fault and near fault, multi-line equation are depending on (PGAv/g). A numerical example is given, for various boundary conditions, and far fault, translational stiffness (kx, ky) and rotational stiffness (cx ,cy), from the results of plate calculations due to dynamic vertical seismic loads with 5 types of edge support, ES (elastic support) is the best result.

Higher education institutions, like any business institution, should satisfy their clients (students) for them to survive in the higher education service business market. As a service business, higher education institutions also need to follow marketing principles in their attempt to attract potential students. We investigated the effect of marketing mix dimension on internal and external marketing in universities. The research used primary data from a questionnaire survey of 526 students in West Java Province, Indonesia, and then drew conclusions by a structural equation model (SEM) analysis. The research findings revealed that place, product, price and promotion have a positive effect on external marketing. Whereas physical evidence, people and processes have positive, significant effects on internal marketing. There was also positive, significant correlation between external marketing and internal marketing. The research findings were hopefully beneficial for higher education management, to be made as guidance in implementing their marketing strategy. Higher education leaders may apply the external marketing policy to attract potential student interest and the internal marketing policy to improve the quality of their service and internal marketing. The study delivered a broader picture of the application of marketing mix model on universities. In addition, the discussion presented the implication of the offered theory and practice, the research limitation, and the direction of future researchers.

Forecasting is an integral approach due to its ability to make informed act decisions and develop data-driven strategies. It's also used to make decisions related to current circumstances and predictions on future conditions. An integral part has been developed using visibility analysis for COVID-19 Outbreak, a lesson from Indonesia. The author identified that its topic has limited attention, especially in assessing the forecasting models. The issue comes from predicted results that are questionable or cannot be trusted without applying the visibility analysis in the forecasting model. The visibility analysis is required to assess the model's ability to forecast future events. In conjunction with the issue, this paper introduces the analysis of visibility error with the different concepts during model development for the transmission prevention measures in making the decision. This study applied a statistical approach to assess the visibility error of forecasting performance in determining how long periods of forecasting and deciding for transmission prevention measures COVID-19 pandemics. Also, we developed the visibility error of time-variant using inductive logic. The result indicated that the number of data required to perform forecasting work on the basis of forecasting model specifications. In conclusion, this study has been completed to develop the statistical formula for identifying the largest time horizon in forecasting model N = V + 2. Also, this developed model can assist the stakeholder in forecasting the number of transmission prevention and making the decision in case of COVID-19 pandemic.

Science and technological developments in the material field have been currently dedicated to a super strong material potential based on nanotechnology. The super strong material can be created from the mixture of epoxy-resin polymer and SiO₂ (silicon dioxide) nanoparticles. Polymers exist as a nanoparticle adhesive due to nano-SiO₂, which possesses a high amorphic level, resulting in a stronger, more flexible, and stiffer combination than the current super strong material. The advantages of nanocomposite polymer using epoxy- resin and nano-SiO₂ produce strong and light products with an easier production process, utilizing local materials that can improve the following material quality. This study used four material variations, namely P30, P35, P40, and P45, combined with nanoparticles at 0%, 1%, 2%, 3%, and 4%. Based on the results, the highest compressive strength level was found on the PNK 40 EH2:1N1 mixture at 53.18 MPa with 1627 kg/m3 weight density. From the X-Ray Diffraction (XRD) test results, the following mixture had the lowest amorphic phase, while Fourier Transform Infra-Red (FTIR) test results showed that the following mixture absorbed more hydrogen elements, and Scanning Electron Microscope (SEM) observation on the following material mixture had more organized particle distribution.

The purpose of this research is to develop a conceptual model to explain the relationship between the uniqueness of higher education, student experience and university image. Structural Equation Modeling (SEM) is an analytical technique used to test the model. Data collection is conducted on 268 active students from 49 private universities in Java West. Research findings report the uniqueness of tertiary institutions influences student experience; uniqueness of tertiary institutions influences the image of the University. Moreover, experience of students influences the image of the University.

This study aims to obtain the results of employee performance appraisal through a decision support system (DSS) on situational leadership with work motivation as a connecting variable to employee performance. The use of this type of quantitative research with the number of respondents with a saturated sample technique will make this research more relevant and objective in showing the re-sults. Data analysis using smart PLS 3.0 which resulted in the finding that the decision support sys-tem (DSS) in situational leadership had not been able to contribute to improve employee perfor-mance. It can be concluded that the role of technology in semi structured decision making must be based on sufficient data to help improve employee motivation and performance. In fact, leadership is still used to make unstructured decisions without paying attention to the data stored in the perfor-mance system. Performance indicators are not well-paid attention so that the value generated from this study shows negative results.