The purpose of this study was to analyze the effects of customer satisfaction, service quality, perceived value and brand image on consumer loyalty through a quantitative method. The research was conducted in schools in Indonesia. The sample of respondents in this study were 308 of owners of Small and Medium Enterprises (SMEs). The sampling method used was simple random sampling. Data collection techniques were accomplished using online questionnaires through social media. The measurement scale in this study was a Likert scale with a range of 1-7 and data analysis was performed using structural equation modeling (SEM) with data processing software SmartPLS software. The independent variables in this study were customer satisfaction, perceived service quality, perceived value, and brand image, while the dependent variable was customer loyalty. Based on the results of the study, it was found that satisfaction has a positive and significant effect on consumer loyalty. However, perceived service quality, perceived value and brand image had no significant effects on consumer loyalty.

MSMEs in the ceramics industry are still experiencing a difficult period even though they have entered the post-pandemic period. Will competitive advantage be created from supply chain collaboration in terms of obtaining resource information which will ultimately create innovation and increase market demand? This research involved 200 ceramic MSMEs in Bali with the condition that the perpetrators had been running their business for more than one year, analyzed with SEM-PLS with the SmartPls processing tool. The results show that the relationship between market demands has a positive effect on competitive advantage and will give a boost to the performance of ceramics SMEs. While the collaborative relationship of innovation value does not have a positive effect on performance and competitive advantage because so far ceramic SMEs, especially photocatalysts, are still relatively new and are still running their business in one small group and no organization has yet been formed to support the acquisition of information related to the innovations to be carried out. This research also shows that the mediation of competitive advantage is the perfect mediation in creating market demand in improving the performance of MSMEs.

This research aimed to know the influence of accessibility and cargo transport regulations on the operational performance mediated by logistics effectiveness in the Class II Port of Jayapura, Papua Province. Several main problems in the object of this research were the existence of operational hour limitation regulation which made cargo delivery not maximally run, limited road network and roads in the port area, as well as the occurrence of congestion if cargo ships and passenger ships arrived at the port at the same time. This research used Structural Equation Modelling with Smart3PLS-SEM. The sampling technique used probability sampling and was conducted in the Port of Jayapura. The respondents were as many as 250 people consisting of shipping business players, transportation service providers, Harbormaster’s office, and the Port Authority. The result of the analysis and discussion indicated that logistics effectiveness was a reinforcing factor in the achievement of port operational performance. The existing obstacles could be overcome through road infrastructure improvement, traffic engineering, continuous policy improvement, and port facility and infrastructure improvement. The key finding was the necessity of an information technology system used for the ship's loading and unloading activities digitally to be utilized by the stakeholders, shipping companies, stevedoring companies, expedition companies, and cargo owners.

This study aims to examine how Mother and Child Hospital (RSIA) Type C performance in East Java with a population of 67 owners is affected by organizational competency, external networking, entrepreneurism, competitive advantage, and corporate social responsibility (CSR). The results of the eight hypotheses using partial least squares (PLS) are as follows: 1) Organizational ability has a big and favorable impact on business performance. The hypothesis has been accepted. 2) The external network has a small but positive impact on company performance. 3) Entrepreneurial mindset has a favorable and significant impact on business performance. The hypothesis has been accepted. 4) Competitive Advantage is influenced by organizational capability in a favorable and meaningful way. The hypothesis has been accepted. 5) External networking contributes to competitive advantage in a positive and important way. The hypothesis has been accepted. 6) Entrepreneurial orientation affects competitive advantage in a favorable and important way. The hypothesis has been accepted. 7) Competitive advantage has a major and favorable impact on business performance. The hypothesis has been accepted. 8) Competitive advantage has little effect on Corporate Performance when CSR is regulated. The hypothesis was disproved.

The role of information technology (IT) during the Covid 19 pandemic has made everything in business easy. The role of technology in business during a pandemic also makes it easier for entrepreneurs to navigate buying and selling activities and services. Technology makes it easy to shorten time saving business costs, as in business financial records that make one financial report must record everything manually with technology done automatically with the help of accounting software. Research purposes to test resources-based view theory in relation to the implementation of IT to produce operational performance and financial performance of small and medium enterprises (SMEs). The research was conducted on SMEs in Bali. The research method used to answer the research objectives uses a quantitative test approach Partial Least Square. Based on data analysis, it was found that the development of SME IT Adoption had an effect positive on IT Assimilation, but directly IT Adoption is not able to improve operational performance and financial performance. IT assimilation can improve the operational performance and financial performance of SMEs. Operational performance is not able to mediate the effect of IT adoption on the financial performance of SMEs. IT assimilation is a fully mediating variable in the relationship between IT and the operational performance and financial performance of SMEs in Bali. The results of the study show that IT resource management through a technology-based business competency model can succeed in realizing Organizational Capability that can be used to build business competitiveness if the organization or business unit that adopts it pre-determines IT integration in accordance with the vision, mission, and goals of the organization. This is very important to implement in an effort to adapt to uncertain business world conditions, such as when Covid 19 occurred.

In this work, the possibility of cross-border activities between two regions in the framework of the investment contract is viewed as optimal allocation problems. The problems of determining the optimal proportion of funds to be invested in liquidity and technology are analyzed in two different environments. In the first case, we consider a two-region and two-technology economy in which both regions possess the same productive technology or project, but a different stream of return. While in the second case, we examine an economy where two regions (i.e., Indonesia and Malaysia) hold different Islamic productive projects with identical returns. Allocation models are formulated in terms of investors’ expected utility maximization problem under budget constraints with respect to regional and sectoral shocks. It is revealed that optimal parameters for liquidity ratio, technological investment profile, and bank repayment are analytically characterized by the return of a more productive project and the proportion of impatient and patient investors in the region. Even though both cases employ different assumptions, they provide the same expressions of optimal parameters. The model suggests that cross-border Islamic investment activities between two regions might be realized, provided both regions hold productive projects with an identical stream of return. This paper also shows that by increasing the lower return of the project approaching the higher return, a room for inter-region investment can be created. An analytical framework of an investment contract in terms of optimal allocation model is provided.

This study aims to analyze individual and organizational factors from the perspective of gender amongst millennial employees in creative industries. The populations in this study are employees in the creative industries with sample limited to employee from millennial generation category. Based on these considerations, the sample taken in this study were 202 respondents. The research proves that exogenous variables (ethical behavior of leaders and internal communication) have positive and significant effects for endogenous variables (psychological capital, work attachment, meaning of work) on employees (millennial generation) of the creative industry sector. The results also showed that psychological capital was only determined by the ethical behavior of the leadership, whereas psychological capital was the most dominant variable in determining work engagement. Meanwhile, internal communication provides the most dominant influence on the meaning of work. This research is able to contribute by generating novelty research in the form of literature studies using gender roles. From the gender point of view, millennial employees who are female have the highest value for internal communication, work engagement and meaning of work. Meanwhile, the highest value of psychological capital is dominated by male respondents. Ethical behavior of leaders viewed from a gender perspective has the same value between male and female respondents.

Halal food is food whose halal status is regulated by sharia institutions such as LPPOM MUI which is set by the government. The halal status of food must be traced from the process of raw materials, processing, packaging, transportation, and distribution to the final consumer. It is difficult to trace the certainty of halal food, especially beef in Medan City because the supply chain information from upstream to downstream is not transparent. To increase the transparency of beef status and increase consumer confidence, especially Muslim consumers, a distributed and transparent system is needed, where many parties can access the status of food at any time. So Blockchain technology is used to help track the halal status of beef along the supply chain. The purpose of this study is to design a system to obtain information certainty that beef distributed along the supply chain is halal and safe for consumption by utilizing Blockchain technology and to increase public safety and trust in the LPPOM MUI halal certification system. Based on the discussion and research analysis, it is known that the information in the halal beef supply chain in Medan City uses blockchain technology designed with a data security system using smart contracts, where information that has been stored cannot be changed by any party. so that there is a guarantee of information security in the beef supply chain in the city of Medan. This research is expected to support transparency, security, and certainty of information about halal beef in Medan City.

The purpose of this study was to examine and analyze the influence of personality, motivation, job satisfaction, employee engagement, organizational commitment on employee performance in PT. PLN (Persero) The Power Generation Unit of Mahakam, Indonesia. There were 167 employees participated in this survey using a saturated sample in which all populations were sampled. The re-search model used in this study was a structural model to test the hypotheses proposed by the SEM (Structure Equation Modeling) analysis technique using the Warp PLS 6.0 program approach. The results show that personality and job satisfaction had a positive and significant effect on employee engagement. Motivation was not significant to employee engagement. Personality and motivation were not significant to organizational commitment. Job satisfaction had positive and significant effect on organizational commitment. Personality, motivation, and job satisfaction did not have significant effect on employee performance. Employee engagement was positive and significant for organizational commitment. Employee engagement and organizational commitment were positive and significant for employee performance.

COVID-19 has spread to more than a hundred countries worldwide since the first case reported in late 2019 in Wuhan, China. As one of the countries affected by the spread of COVID-19 cases, the local government of Malaysia has issued several policies to reduce the spread of this outbreak. One of the measures taken by the Malaysian government, namely the Movement Control Order, has been carried out since March 18, 2020. In order to provide precise information to the government so that it can take the appropriate measures, many researchers have attempted to predict and create the model for these cases to identify the number of cases each day and the peak of this pandemic. Therefore, hospitals and health workers can anticipate a surge in COVID-19 patients. In this research, confirmed, recovered, and death cases prediction was performed using the neural network as one of the machine learning methods with high accuracy. The neural network model used is the Multi-Layer Perceptron, Neural Network Auto-Regressive, and Extreme Learning Machine. The three models calculated the average percentage error (APE) values for 7 days and obtained APE values for most cases less than 10%; only 1 case in the last day of one method had an APE value of approximately 11%. Furthermore, based on the best model, then the forecast is made for the next 7 days. In conclusion, this study identified that the MLP model is the best model for 7-step ahead forecasting for confirmed, recovered, and death cases in Malaysia. However, according to the result of testing data, the ELM performs better than the MLP model.