The main problem in this research, among others, was the lack of attention given by the company management to the seafarers' demands concerning health, social aspects, work stress, work environment, work facilities, and working hours that increased seafarers' pressure. The aim of this research was to analyze the influence of job satisfaction and work stress on shipping safety with seafarer performance as the intervening variable. The research was carried out in Balai Pendidikan dan Pelatihan Ilmu Pelayaran (Center for Maritime Education and Training) Tangerang with the samples of 93 seafarers working in several shipping companies. Data was processed using Path analysis. The result of this research showed that job satisfaction and work stress directly influenced seafarer performance. Meanwhile, job satisfaction and work stress had an indirect influence on shipping safety through seafarer performance, and seafarer performance had a direct influence on shipping safety. The result of Path analysis showed that work stress rather than job satisfaction had a bigger influence on seafarer performance, and seafarer performance had the biggest direct influence on shipping safety.

Digital supply chains play an important role in improving the performance of small and medium enterprises (SMEs) in this digital era. There has been no research that analyzes the relationship between digital leadership, leadership, and partnerships. The aim of this research is to analyze the defect of digital supply chain implementation on logistics leadership and the impact of digital supply chain implementation on partnerships and logistics leadership partnerships. The method of this research is quantitative and data analysis uses structural equation modeling (SEM) partial least squares (PLS) using tools. SmartPLS 3.0 software data is used for processing the data. Research data is obtained by distributing online questionnaires to 589 SME owners in Indonesia determined using a simple random sampling method. The online questionnaire is designed using a Likert scale from 1 to 7 and distributed via social media. The stages of data analysis are validity testing, reliability testing and hypothetical testing. Based on the results of data analysis, it is concluded that digital supply chain implementation has a positive and significant effect on logistics leadership, digital supply chain implementation has a positive and significant effect on partnerships and logistics leadership had a positive and significant effect on partnerships. The novelty of this research is the creation of a correlation model for variable partnerships, logistics leadership and digital supply chain implementation. The managerial implication of this research is to encourage increased partnerships and logistics leadership and we conclude that SMES managers must implement digital supply chain implementation. The theoretical implication of this research is that a new correlation model of partnerships, logistics leadership and digital supply chain implementation in SMEs is created.

This research aimed to analyze the direct and indirect influence of customer relationship management and brand image on customer loyalty in the marine export department of DSV Transport Indonesia through customer satisfaction. Customer Relationship Management in goods delivery was one of the essential variables to improve company service to satisfy its customers and impact their loyalty. Research with a quantitative approach uses the Path Analysis statistical tool. This research used quantitative methods with a sample of 199 companies. The key findings of this research stated that customer relationship management has a negative and insignificant effect on the satisfaction and loyalty of marine export customers of DSV Transport Indonesia. Thus, the changes occurring in the application of Customer Relationship Management in marine exports would not affect the satisfaction and loyalty of marine export customers of DSV Transport Indonesia. Based on the results of this research, it was stated that customer satisfaction was indirectly able to function as a mediator or mediate the indirect influence of Customer Relationship Management and brand image on the customer loyalty to marine exports of DSV Transport Indonesia.

The primary objective of this research is to examine the relationship between Good Corporate Governance (GCG), value chain, and bank asset growth in Indonesian State-Owned banks. Additionally, this study aims to determine whether value chain mediates the relationship between GCG and bank asset growth. This research employs a quantitative method. Data is collected using a questionnaire with a Likert scale ranging from 1 to 7. The respondents in this study are employees and managers working in state-owned banks in Indonesia. The total sample size used in this research is 239 samples. Data analysis is conducted using SmartPLS 4 software. The results of this study demonstrate that GCG has a significant positive relationship with the value chain of the bank. However, the direct relationship between GCG and bank asset growth is not statistically significant. The results of the mediation analysis show that value chain mediates the relationship between GCG and bank asset growth, emphasizing the critical role of value chain in optimizing the impact of GCG on bank asset growth.

This study aims to measure people's decision-making to buy their pet insurance and compare it with the amount of insurance premium rates offered. It is important due to the increase in people's income which has triggered the birth of a community of pet lovers as part of the middle-class people’s lifestyle in Indonesia. The survey data was conducted using the Stated Preference (SP) format through questionnaires and interviews to determine the public response to pet insurance premiums. The collected data were analyzed using descriptive methods, decision-making analysis was on the basis of the choice of the dichotomous Contingent Valuation Method (CVM), and logistic regression analysis. Based on the calculation analysis using the logit method shows that the ability of the public to pay pet insurance premiums is IDR289,454.54. Analysis of calculations using the Turnbull method was obtained at IDR365,000.00. The results of the WTP amount, both using the logit method and using the Turnbull method, are greater than the minimum premium amount offered which is IDR190,000.00. The results of this study indicate that the premium rates for pet insurance offered are still within reasonable limits, compared to the size of the decision-making by the animal lover community in Indonesia. This provides a very good prospect for insurance companies that have insurance products for pets in Indonesia. This study was conducted to provide empirical evidence that the decision-making of the animal lover community is greater than the premium rate for pet insurance that has been offered. Thus, this research strongly supports the development of pet insurance companies in Indonesia, which can provide pet protection to stay healthy and well looked after.

The market share of peer-to-peer (P2P) has shifted from dominating the P2P lending for Micro, Small, and Medium Enterprises (MSME) to non-MSME. Meanwhile, non-MSME credit is an incumbent main market share banking which possibly makes it a complementary or substitution in P2P lending in non-MSME bank credit. Furthermore, optimizing and maintaining liquidity is important due to banks utilizing intermediation functions. The strictness of bank liquidity could determine the management’s response and policy in determining the best timing to utilize either the FinTech from the P2P platform or the customer’s existing funds first. This study aims to assess the empirical findings of the effect of P2P lending on banking credit that is divided between provinces with strict, normal, and lax liquidity. This study uses data from 33 provinces in Indonesia between January 2022 to December 2022. The study approach uses a regression data panel for the data analysis. The results of this study show that P2P lending positively and significantly impacts bank credits of non-MSMEs in provinces with lax bank liquidity. The stricter the banking the lower the compliments of P2P loans against the bank credits of non-MSME. To the author’s knowledge, no existing studies investigate the P2P lending of non-MSME banking credit that also consider the level of strictness of banking liquidity.

The development of land use in Badung Regency in the period 2013-2021 has an impact on changes in the ecological structure of the landscape. Changes in the ecological structure of the landscape occur in the three parameters, namely patch, matrix and corridor, which are indicated by changes in the area and function of the three parameters. The addition of matrix area in the settlement land use class and golf course patches causes changes in the area of the matrix of mixed gardens, rice fields and mangroves as well as corridors of non-volcanic coastal sand that dominantly have ecological functions. The objectives to be achieved in this study are to analyze the dynamics of changes in the ecological structure of the landscape caused by land use development in Badung Regency. The dynamics of changes in the ecological structure of the landscape due to large-scale changes is a driving factor in the deviation of spatial utilization and a decrease in the quality of the environment in Badung Regency. The research concluded that landscape ecology analysis is an important aspect in the development of regional zones in Badung Regency that takes into account the principles of sustainable development. This research found a new formulation in the analysis of ecological zone development that integrates the landscape ecology approach with the spatial approach and regional approach. The ecological zones of Badung Regency are grouped into 4 (four), namely: very high ecological zone, high ecological zone, medium ecological zone and low ecological zone.

Lion Air is an airline that has a low-cost carrier concept, which makes Lion Air an airline that has low prices. With these low prices, does it improve customer fulfillment? This study aims to determine the effects of service quality, amenities, and pricing on purchase choices. Associative quantitative research methodologies are used in this kind of study. The sample comprised 210 individuals who had taken a flight on Lion Air during COVID-19 and were at least 17 years old. The analysis technique uses Amos 24 software and SEM (Structural Equation Modelling) analysis. The results showed that service quality has a favorable and considerable impact on customer satisfaction. Facilities have a significant and positive effect on customer satisfaction. Price has a positive and substantial influence on customer satisfaction.

The Indonesian creative economy has been on the rise since 2015 when it has started being measured and prioritized by the government. Its contribution towards the Indonesian GDP has risen significantly as well. A small part of that creative sector is the video game industry and market. The video game global market will be worth USD 200 Billion in 2023. Indonesia currently is ranked 16th in terms of market size. Although having an enormous market opportunity, local video game producers only contribute 1%. Growth opportunities exist, however local game studios are facing the difficulty of recruiting quality game developers. Higher education institutions need to produce graduates having the knowledge, competences, and skills relevant for their work. This study is done to identify and prioritize attributes for the design of a university level program in game development that ensures employability in the sector. A qualitative thematic analysis is done in identifying the important factors for an academic program, followed by an analytical hierarchical process in determining the factors. Result of the study shows that a curriculum with internships in game studios, ensuring students are knowledgeable on the business models & video game market, having practitioners teach in the program, and creating a community of practice in the university is essential in producing quality graduates.

This study aims to determine an accurate forecasting model, especially an error rate of around 0, and to examine how the automatic rejection system reacts to stock price as a result of the pandemic. The statistical clustering method is used for the dataset in form of daily observations, while the sample covers the period of cases before and after COVID-19 pandemic from 02 January 2019 to 20 June 2020 at the Trinitan Minerals and Metal Company. Furthermore, the data used in the estimation are the opening and closing price of returns, which are later processed using SAS analysis tools. It is shown that the most appropriate decision-making processes are those proven to be most effective. Therefore, predicting future events based on a suitable time series model will help policymakers and strategists make decisions and develop appropriate strategic plans regarding the stock market. Meanwhile, 98% of the ARIMA (1,1,1) is a forecasting model which can be applied to predict stock prices. The new approach of this study is an integrated autoregressive moving average used as an attempt to accurately predict stock prices during a pandemic.