Passenger Behavior Simulation in Congested Urban Rail Transit System: A Capacity-Limited Optimal Strategy Model for Passenger Assignment

Optimal strategy, one of the main transit assignment models, can better demonstrate the flexibility for passengers using routes in a transit network. According to the basic optimal strategy model, passengers can board trains based on their frequency without any capacity limitation. In the metropolitan cities such as Beijing, Shanghai, and Hong Kong, morning commuters face huge transit problems. Especially for the metro system, there is heavy rush in metro stations. Owing to the limited train capacity, some passengers cannot board the first coming train and need to wait for the next one. To better demonstrate the behavior of passengers pertaining to the limited train capacity, we consider capacity constraints for the basic optimal strategy model to represent the real situation. We have proposed a simulation-based algorithm to solve the model and apply it to the Beijing Subway to demonstrate the feasibility of the model. The application of the proposed approach has been demonstrated using the computational results for transit networks originating from practice.

SMEs Development Strategy Model-Based on Creative Economy with Quadruple Helix Approach”

This study aims to develop SMEs fashion in Central Java by Quadruple Helix. The statistic technique used in this research is Structural Equation Modelling. The primary and secondary data are relevant with relating institution (SMEs). This study find as follows: (1) Testing Capability sensing competitor to innovative product success, (2) test the capability of sensing competitor against entrepreneurship orientation, (3) test the capability of sensing customers towards innovative product are successful.

National Cybersecurity Strategies

This chapter studies the phases to unify our national cybersecurity strategy model (NCSSM) in any nation cyber strategy that is either under development or improvement stages. This methodology consists of developing international cybersecurity strategies, alliances, and cooperation with different stakeholders at all possible levels. The research evaluated the best practices of 10 leading countries and five intergovernmental organizations in terms of developing effective cybersecurity strategies and policies. The authors also assessed a series of cybersecurity best practices that can be aligned with cyber governance and cyber law when countries wish to develop or enhance national cyber strategies. Furthermore, they propose guidelines to audit the national cyber strategies by utilizing their cybersecurity audit model (CSAM). CSAM could be considered for conducting cybersecurity audits in any nation state in pursuance of reviewing and measuring the cybersecurity assurance, maturity, and cyber readiness and to detect the needs to increase cyber awareness to defend and protect critical cyber assets.

The Resource and Leagile Strategy Model for Apparel Export Enterprises

Apparel export enterprises are organizations that are part of the global supply chain. Covid-19, a global pandemic, has emerged as a supply chain disruption since March 2020. The situation is uncertain, and export enterprises at upstream need clear visibility to manage business activities at their end. Due to Covid-19, all global chain stakeholders are at risk, but the apparel chain upstream is more vulnerable than in developing and underdeveloped countries. The situation is exacerbating sustainability and causing labor jobs, excess inventory, production waste, and irresponsible raw material consumption. The paper aims to propose a model based on resource capabilities and a supply chain strategy for exporting enterprises. The model presented in the research is the 'Resource & Leagile Strategy' (RLS) model. The study uses the resource-based view (RBV) to specify resources and leagile strategy to manage the uncertainties created due to Covid-19.

Indonesian Defense Economy in the Industrial Revolution Era 4.0

The defense economy as an economy that has an important role, of course, in its journey faces challenges, especially the low national Research and Development budget of <1% of GDP/Per Capita. Director-General of Research and Development (R&D) Kemenristekdikti Muhammad Dimyati previously said that Indonesia's research growth in the last four years had grown rapidly. Based on 2017 data from the Ministry of Research, Technology and Higher Education, Indonesia's research budget is only 0.25 percent of total GDP, if converted into IDR 30.78 trillion. The second challenge is the entry of the digital era which must be responded wisely and anticipated as the 4.0 industrial revolution in the development of science. The purpose of this study is to describe more about how research & development and the industrial revolution 4.0 are in building a defense economy. In this study, the authors used data analysis techniques with a qualitative descriptive analysis strategy model. The results of the research show that the results of research and development funds are used to innovate to support increased productivity. As a result, the country's production performance has improved and boosted economic growth. The Industrial Revolution 4.0 makes work done by individuals or companies more effective and efficient. With this efficiency and effectiveness, the economy will increase and automatically the defense will also increase. So research & development and industrial revolution 4.0 in practice can build and strengthen the existing defense economy in a country.

Indonesian Defense Economy in the Industrial Revolution Era 4.0

The defense economy as an economy that has an important role, of course, in its journey faces challenges, especially the low national Research and Development budget of &lt;1% of GDP/Per Capita. Director-General of Research and Development (R&amp;D) Kemenristekdikti Muhammad Dimyati previously said that Indonesia's research growth in the last four years had grown rapidly. Based on 2017 data from the Ministry of Research, Technology and Higher Education, Indonesia's research budget is only 0.25 percent of total GDP, if converted into IDR 30.78 trillion. The second challenge is the entry of the digital era which must be responded wisely and anticipated as the 4.0 industrial revolution in the development of science. The purpose of this study is to describe more about how research &amp; development and the industrial revolution 4.0 are in building a defense economy. In this study, the authors used data analysis techniques with a qualitative descriptive analysis strategy model. The results of the research show that the results of research and development funds are used to innovate to support increased productivity. As a result, the country's production performance has improved and boosted economic growth. The Industrial Revolution 4.0 makes work done by individuals or companies more effective and efficient. With this efficiency and effectiveness, the economy will increase and automatically the defense will also increase. So research &amp; development and industrial revolution 4.0 in practice can build and strengthen the existing defense economy in a country.

Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms

On the basis of traditional credit risk control, this paper proposes the demand and direction of a new credit risk control strategy based on machine learning and relying on big data. First, on the basis of introducing the basic algorithmic principles of machine learning, we give reasons for choosing machine learning models and build a machine learning-based Internet consumer finance credit risk control strategy model to provide theoretical support for the empirical analysis later. Second, we take the test data of Internet consumer finance S company as the research sample and carry out empirical analysis according to the machine learning-based Internet consumer finance credit risk control strategy model. The comparison of the training results is based on the comprehensive consideration of training time, validation set accuracy, TPR evaluation indicators, and interpretability of the results; it verifies the advantages of the machine learning model in screening the key influencing factors that cause the overdue performance of credit customers. According to the optimized credit risk control strategy, corresponding strategy suggestions are provided for the credit risk control of S company. The research results show that the prediction effect of the classification model based on traditional linear regression is generally lower than that of the model based on the classification algorithm based on machine learning, and there is a complex nonlinear relationship between platform default and its related influencing factors. The accuracy of classification and early warning results of the random forest algorithm is relatively high, and the detection rate of the decision tree model is relatively high, but the cost is also the highest. In addition, the accuracy of the four types of early warning models is relatively stable, reaching an average of 80%. This paper proposes a machine learning-based Internet consumer finance credit risk control strategy model. Its system, timeliness, and risk prediction capabilities provide new ideas and suggestions for Internet consumer finance companies to design risk control strategies.

Model Ecotourism-Based Tourism Development Strategy and Empowerment of Local Communities in Merauke Regency

The research objectives are to produce a strategy model for ecotourism development that supports the empowerment of local communities in Merauke Regency.The research method uses Research & Development to create a model of empowerment through community-based learning, by evaluating the implementation of tourism strategies, which are realized in the form of activity guides and training, for the tourism community in Merauke Regency, by involving the Tourism Office, Tourism Business Actors, and traditional community managers tourist village.The results of the study explain the stages of ecotourism development and empowerment strategies including Strategy development of concepts, vision and mission to become guidance in implementation by providing an impact on the emergence of motivation and clarity of types of profitable tourism businesses and expanding access in accordance with their potential.Strategy for capacity building and participation is a lesson for participants in doing business based on groups, understanding how to maintain customers, how to manage a more productive business that results in community participation that supports tourism businesses. Commitment consolidation strengthening strategy embracing all stakeholders and external carrying capacity in the process of empowering and developing eco-tourism, so that the acceleration of the world of tourism is quickly obtained.Strategy for Strengthening Environmental Carrying Capacity is the internal carrying capacity and potential that exists in tourism objects based on the carrying capacity of culture, socio-economics and the carrying capacity of natural resources so that sustainability and natural conservation are achieved.

The risk-based strategy model technical maintenance of the unique technological structures

The article considers an approach to the development of a risk-based strategy model for the technical maintenance of a unique technological structure. It is proposed to use the minimum risk of the structure failure as a criterion for optimizing the technical maintenance of the structure. It is shown that this approach allows to decrease considerably and by limited means the risk of the elements failure especially those influencing the structure safety. The task of determining the strategy parameters of technical maintenance of the construction object under consideration is formulated as a Boolean mathematical programming task. The theoretical conclusions are confirmed by the calculation example. The solution showed the advantage concerning the risk of use of the proposed strategy in comparison with the current one.