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.

With the prevalence of Covid 19, collaborative learning (CL) with the guide of advanced digital learning innovation has become progressively dominant in an assortment of instructional settings making the role of the lecturer more demanding in managing the classroom. In any case, notwith-standing a solid hypothetical and exploration premise, CL has been scrutinized for being excessively applied to all learning circumstances and student types but largely ignored management aspects that lecturers lack guidance and support in dealing with learner behavior. This study investigates the im-pacts of extroversion/ introversion character qualities and collectivism/individualism convictions on students’ collaborative learning preferences. The empirical data consisting of 170 valid datasets were collected from undergraduate students after attending computer-supported collaborative learn-ing of Edmodo and Google Meet. The relationship among construct was assessed with Structural Equation Modeling (SEM). The assessment of information demonstrated that student perceptions of computer-supported collaborative learning have a positive association with students' personality and cultural beliefs. This finding brings the implication that although collaborative learning through a digital platform is compulsory during the pandemic, extroversion/introversion on students' attitudes and students' cultural beliefs should be considered to ensure the effectiveness of instructions.

During the last few years, the growth of mobile data service users has increased, followed by stag-nant usage and even tends to decline. The challenge that mobile telecommunications operators face is increasing revenue in a situation of intense competition in the mature telecommunications industry market. It takes customers systematically, through ordering, behavior based on the suitability of technology that functions to meet user’s needs. Thus, Mobile Network Operator (MNO) provides user satisfaction scores, thereby increasing use and loyalty to the MNO it has chosen. This study aims to cyclically analyze the decision to choose an operator in shaping evaluation use behavior to create loyalty and continued use. In this study, quantitative data was carried out through a survey of 250 respondents and data analysis using Structural Equation Modelling (SEM). The findings in this study are: (1) The decision to choose MNO affects usage behavior and vice versa (2) The decision to choose MNO influences user evaluation and vice versa; (3) Usage behavior influences user eval-uation. The results of this study can enrich the literature with theoretical contributions related to the concept of behavior in organizations, especially the telecommunications industry. Besides, it can as-sist mobile operators in designing usage behavior.

This research starts from a phenomenon that indicates that the competitive advantage of Small and Medium Enterprises (SMEs) in increasingly fierce business competition has not yet achieved in Sukabumi, Indonesia. This is indicated by the inefficiency of production costs felt by SMEs which are not capable of creating competitive prices and the difficulty of making unique products. The purpose of this study is to determine the magnitude of the influence of dimensional strategic plan-ning on the competitive advantage of SMEs. The results of the analysis and discussion are expected to find a concept regarding SME strategic planning. This study uses a quantitative approach, with an explanatory survey design that explains and describes the level of influence of strategic planning on the competitive advantage of SMEs in Sukabumi Regency, Indonesia. By using data analysis of Structural Equation Modeling (SEM), the results of the study indicate that there is a significant in-fluence of strategic planning on the competitive advantage of SMEs in Sukabumi, Indonesia. Strate-gic planning which consists of three dimensions, namely: the desires of external stakeholder, the company's internal encouragement, and the company's database, significantly influences the compet-itive advantage of SMEs. Of the three dimensions of strategic planning, the dimensions of external stakeholder have the highest influence, while the company's database have the lowest effect. These results practically imply for SMEs to increase the consideration of company database in preparing the SME strategic planning.