The purpose of this study was to estimate and analyze the effect of dividend policy, profitabil-ity, firm size, leverage, and growth on firm value in financial sector listed on Indonesia Stock Exchange from 2013 to 2017. A quantitative method is used for this research with 21 companies as research object, measured by purposive sampling techniques. The data analysis method used is panel data regression. The results show that firm size, leverage, and growth did not have any significant effect on firm value in financial sector companies in the period 2013-2017. However, dividend policy and profitability proved to have significant positive effects on firm value in financial sector companies for the period 2013-2017. Simultaneous results also show that dividend policy, profitability, firm size, leverage and growth had some effects on firm value.

The purpose of this research is to develop an early warning system model that can anticipate the occurrence of delisting of Islamic stocks (ISSI) using Support Vector Machines (SVM). Financial variables used consist of debt to equity, return on invested capital, asset turn over, quick ratio, current ratio, return on assets, return on equity, leverage, long term debt, and interest coverage. The population of this study is 335 sharia shares registered at ISSI in the period 2012-2017, with a total sample of 102 companies. The results show that the financial variables had a predictive power to the occurrence of delisting of Islamic stocks in the ISSI index. The effect of the independent variable or predictor variable is the financial ratio to the target variable or the dependent variable that is the potential for delisting of Islamic stocks in the ISSI index. With the development of 4 SVM models with different levels of prediction accuracy, SVM Model 1 with an accuracy rate of 71.57%, SVM Model 2 with an accuracy rate of 72.55%, SVM Model 3 with an accuracy rate of 82.35% and SVM Model 4 with an accuracy rate of 100%, it can be concluded that the SVM Model 4 is the best model.

The English language for English Instructed Class students as the end-users of Higher Education is an integral part of the sustainability of globalization in Indonesia. The research investigates the relationship between brand image, price, web quality, and student satisfaction in conducting English-instructed classes. The data was obtained via an online inquiry form 105 respondents and analyzed using Partial Least Square (PLS). The findings show that the influence of the brand image on student satisfaction, price towards student satisfaction, and web quality on student satisfaction are significant. The results illustrate that English-instructed class students' happiness depends on how the institution creates the brand image, offers competitive tuition, and develops web quality to attract prospective English-instructed class students.

This study aims to determine the effect of compensation on job satisfaction, career development on job satisfaction, and the effect of compensation and career development together on lecturer job satisfaction at private universities. This research uses quantitative methods with a total sample of 98 people spread across private universities in Serang City with B and C accreditation. The analytical tool used in this study uses multiple regression with the SPSS version 24 tool. The results of this study are compensation influences on lecturer job satisfaction, career development influences on lecturer job satisfaction, and compensation and career development together influence lecturer job satisfaction.

This research aimed to study the opinion and perspectives of Commuter Line passengers in Indonesia by using 18 attributes of service quality. There still needed to be more understanding about which service attributes were less satisfying and which were more pleasing to the Commuter Line passengers in the area of Jakarta and its surroundings. This research used factor analysis and Principal Component Analysis to select among the 18 Commuter Line service quality variables with the Varimax and Ordered Logit model rotation method. The number of samples used was 384 respondents from Commuter Line passengers in Jakarta and its surroundings. The result of factor analysis stated that the 18 attributes of service quality with three factors were the main attributes of service quality being used, namely the factor of station facilities and passenger behavior, the factor of ticket and security system, and they had reasonably strong correlations. The key finding of this research was that some service quality attributes, such as the crowd or density of trains, station stair facility, station lift facility, station seat facility, and shelter, were perceived as the attributes of service that were less satisfying. This research provided valuable insights into important factors affecting the opinion and perspective of Commuter Line passengers in Jakarta and its surroundings.

This study aims to estimate the factors determining the perceived behavioral Intention to use the QR code on a smartphone in the commuter line tap-in tap-out ticketing process as an alternative payment. The rapid growth of information technology in the last two decades had become a factor that encouraged individuals and groups to utilize information technology from devices or technological tools as effectively and efficiently as possible to facilitate the activities and business processes being carried out. This research used the probability sampling technique with a random sampling of 100 commuter line passengers. In addition, this research used the data analysis technique of the Structural Equation Model-SmartPLS3.0. The results indicated that perceived compatibility and enjoyment significantly affected the perceived ease of use and usefulness in the consumer's behavioral Intention to use QR Code technology on smartphones as a substitution for purchasing commuter train tickets. However, the three other variables, perceived convenience, self-efficacy, and enjoyment, do not significantly influence the usefulness of using QR Code Technology on smartphones as an alternative for purchasing commuter tickets, and neither do the technological knowledge and perceived compatibility.

This study investigated the impact of social media marketing on Garuda Indonesia's airline customers' brand equity (awareness, image, and loyalty) and online word-of-mouth during the epidemic (E-WOM). In part of the study, 100 frequent Instagram users and passengers on Garuda Indonesia aircraft were questioned or given questionnaires. The data was processed and analyzed by SEM-PLS and the SmartPLS 3.0 software. The findings of the study indicate that social media marketing increases brand recognition, brand image, and brand loyalty. Brand loyalty or reputation has one significant impact on e-WOM as well. While brand recognition has nothing to do with E-WOM. Furthermore, the results of this research definitely point to the importance of the impact on E-WOM while brand recognition has no impact on E-WOM. The study's conclusions also highlight the importance of mediating variables including brand awareness, brand image, and brand loyalty. This study can prove that almost all moderating effect variables are involved in mediating social media marketing on Garuda Indonesia's e-WOM airline, except the brand awareness variable, which has no indirect effect or has no impact on the relationship between social media marketing and E-WOM. The results of this study should be relevant to a social media strategy, particularly for Garuda Indonesia Airlines.

The research aimed to know the impact of electronic delivery orders and logistics digitalization on the import document activities mediated by logistics service quality in the national shipping lines, especially the members of Regional Container Lines. Several logistics companies in Indonesia have now begun to utilize digital technology supported by the national logistics ecosystem platform to advance logistics activities, to assist logistics processes in all sectors, including the industrial sector. Shipping, especially by sea shipping. One of the research problems, among others, is that the TSJ/T3 terminal still uses manual delivery orders. The research used the path analysis method and Sobel test with a random sample of 102 PT Bhum Mulia Prima customers. The result of the study showed that electronic delivery orders and logistics digitalization partially contribute to the import document activities through logistics service quality. Furthermore, logistics service quality as the intervening variable strengthened the contribution of an electronic delivery order to the import document activities. Testing is also needed by comparing digital systems between the shipping companies that still do not use manual documents and those that have used online processes in import activities.

The study aims to analyze the effect of current ratio (CR), return on equity (ROE), net profit margin (NPM), total asset turnover (TATO) and debt to asset ratio (DAR) on firms’ value. The sample of the research is the 4 cable sub-sector companies from the manufacturing industry which are listed on the Indonesia Stock Exchange (IDX) for the 2014-2018 period and they are analyzed using panel data regression method. Empirical findings of the study indicate that ROE had a negative influence on firm value, while NPM, TATO, and DAR had positive effects on firm value. However, the CR ratio had no effect on firm value. Taken together all financial performance variables affect the value of the company. The results of the study have implications that the value of the company can be improved if the company still maintains a balanced capital structure between debt and equity, provided that debt is used to finance assets that are productive and efficient so that they can generate profits.