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A Study of the Sensitivity of the Fuel Consumption to Driving Strategy by Micro Simulation

Procedia computer science 2019年 157卷 375-381页

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Information Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Global warming due to excessive emission greenhouse gases is a significant issue faced by humanity, and collectively, cars and trucks contribute about 20% to the entire global-warming gases. For a reason, recently, many attempts have been endured to reduce the emission and to increase fuel efficiency, including vehicle platooning, better driving strategy, and increasing engine efficiency. This study intends to provide a more detail assessment regarding the effects of the driving strategy to fuel consumption. For the purpose, the vehicle dynamics are quantified by employing the car-following model based on the optimal velocity model. The fuel consumption is estimated from the regression model of Ahn 18 . The result suggests that the braking distance strongly affects fuel consumption.

关键词： Optimal Velocity Model Micro Simulation Car-Following Model Fuel Efficiency

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Classification of the Structural Integrity by the General Vibration Method

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Procedia computer science 2019年 157卷 382-387页

Traditionally, for the purpose of classifying the integrity of an engineering structure, one may use the information of the natural frequencies or mode shapes or some other measures derived from the two. In this research, we propose a classification method on the basis of the general vibration model. The general vibration model is essentially a set of differential equations describing the dynamics of the structure under consideration. For the purpose of damage detection, a deviation of the general vibration model from the dynamic equilibrium point marks the occurrence of the damage. To demonstrate the effectiveness of the method, we study two simplest dynamical systems consisting of one- and two-concentrated masses subjected to a prescribed dynamic load. The structural damages are introduced artificially by reducing the stiffness of spring in the structures. We find that the general vibration model is more sensitive to damages than the traditional methods.

关键词： General Vibration Model Structural Integrity Structural Health Monitoring Power Spectral Density Damage Index

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Implementation of industrial revolution 4.0 on e-voting platform at the electronic general shareholders meeting

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AIP Conference Proceedings 2024年第1期3026卷

作者： Wahyu Sardjono Widhilaga Gia Perdana Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jl. K. H. Syahdan No. 9 Kemanggisan Palmerah Jakarta 11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No.11 Jakarta Timur Jakarta 13220 Indonesia

The era of the Industrial Revolution 4.0 had a significant impact on the economy of a country. The development of the increasing number of investors spread across various regions is an obstacle to increasing its participation during the implementation of the General Meeting of Shareholders (GMS). Therefore, companies are required to be able to carry out digital transformation and follow technological developments, especially building an information technology infrastructure that accommodates the needs and makes it easier for shareholders to participate in the General Meeting of Shareholders (GMS) electronically or better known as e-GMS which is equipped with an e-proxy and e-voting platform. Increasing participation can have an impact on the quality of corporate governance, which can improve the quality of audits higher and have an impact on the level of internal control. On the other hand, the presence of monitoring from shareholders can significantly reduce the company's financial leverage.

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Development of mathematical models to support electronic marketing business processes using factor analysis and regression analysis methods

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AIP Conference Proceedings 2024年第1期2987卷

The development of information technology in the era of the industrial revolution 4.0 is very rapid, information technology infrastructure can be developed to support platforms in various business sectors, and the role and concept of managing relationships between companies and customers related to marketing, sales, and service business processes are the business focus for companies, so it is necessary to look for factors, indicators that affect competitive advantage in order to build an evaluation model in implementing an effective and efficient Customer Relationship Management system to increase customer loyalty and satisfaction. This research was conducted through interviews and distributing questionnaires to various respondents who were users of company products or customers the analytical method for data processing used factor analysis methods and regression analysis was used to produce mathematical models. The results obtained are a number of new factors formed from a number of indicators that make up these factors so that an ideal evaluation model can be built. It is concluded that the factors related to the evaluation of the implementation of electronic marketing are Customer Service Experience, Customer Experience Value, Business Value Proposition, Product Development, and Communication Core, and Lack of Services and Supply, and through these factors, an implementation model can be built to appropriate and optimum electronic marketing in competitive advantage.

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Development of smart building for better building management in the era of industrial revolution 4.0

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AIP Conference Proceedings 2024年第1期3026卷

A scaled-down form of smart cities is smart buildings since they have overlapping needs for managing lighting and energy as well as for ensuring the safety and security of their residents. Installing and utilizing cutting-edge, integrated building technology systems constitutes a smart building. These systems include facility management, telecommunications, user systems, and building automation. The benefits of smart buildings include lower expenses for upkeep and energy use, a decrease in emissions, better productivity, more habitable structures, and higher resale value. On the other side, there are also drawbacks, including usability, initial installation expenses, ongoing internet fees, and cyber security issues. The purpose of smart buildings was the main topic of this study, which searched online for literature reviews and other information sources.

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A study on the implementation of green information technology to support the competitive advantage of an environmentally friendly and sustainable company

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AIP Conference Proceedings 2024年第1期2987卷

The Data Center is the center of the company’s data management operations as well as the largest energy consumer to support the operations of information technology infrastructure. Therefore, the company must have a strategy for implementing information systems and information technology related to the data center. The purpose of developing this article is to increase the efficiency of the company’s data center electricity load and help companies move towards green computing that is environmentally friendly. The direct survey method was conducted through interviews with related information technology staff, and field data collection. While the green grid method is used to analyze green Information Technology (IT) and for project appraisal, discounting models are used, namely Net Present Value (NPV) and internal rate of return (IRR). The results of the study prove that the company’s PUE (Power Utilization Effectiveness) and DCiE (Data Center Infrastructure Efficiency) are not efficient. In addition, the company’s data center information technology equipment has inefficient usage, causing waste of electricity costs. The conclusion that can be drawn from this research is that green data centers are able to solve various problems of managing data centers that are environmentally friendly and support sustainable competitive advantages for companies.

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Implementation of learning management system towards quality education according to sustainable development goals

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AIP Conference Proceedings 2024年第1期3026卷

In the Sustainable Development Goals (SDGs), one of the goals to be achieved in 2030 is quality education. However, the occurrence of the Covid-19 pandemic is a challenge because learning must be carried out remotely so that it has the potential to interfere in achieving these goals. The use of the Learning Management System (LMS) as a distance learning media has increased during the Covid-19 pandemic. LMS is expected to be able to restore the quality of learning during the new normal and after the pandemic. However, there are still many difficulties and dissatisfaction in its implementation. Several dimensions must be considered in the implementation of LMS, such as technology, organizational, Human Resources, organizational environment, and learning content dimension. The implementation of LMS must be planned carefully and according to needs, supported by job holders, adequate understanding and cost planning.

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Reshaping marketing in industry 4.0 by artificial intelligence

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AIP Conference Proceedings 2024年第1期3026卷

Industry 4.0 has been revolutionizing the way companies do business from production, development, selling, and distribution of their product. Digital marketing is one of the marks of Industry 4.0; a fusion of technology and marketing as well as proof of how technology has changed the pattern of human life. Artificial intelligence as part of technology products has been implemented in marketing activities from awareness to retention, such as chatbots, programmatic ads, email marketing, and search engines. Users need to understand the patterns and prerequisites needed of each artificially intelligent product to optimize the marketing.

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A tabu search approach with embedded nurse preferences for solving nurse rostering problem

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International Journal for Simulation and Multidisciplinary Design Optimization 2020年第1期11卷

作者： Ramli, Razamin Ahmad, Siti Nurin Ima Abdul-Rahman, Syariza Wibowo, Antoni Department of Decision Science School of Quantitative Sciences Universiti Utara Malaysia Sintok Kedah06010 Malaysia Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

This paper presents an intelligent tabu search (TS) approach for solving a complex real-world nurse rostering problem (NRP). Previous study has suggested that improvement on neighborhoods and smart intensification of a TS could produce faster and fitted solution. In order to enhance the TS, this paper introduces an improvement to the neighborhoods and explores on the neighborhoods exploitations of TS to solve the NRP. The methodology consists of two phases: Initialization and neighborhood. The semi-random initialization is employed for finding a good initial solution during the initialization phase which avoids the violation of hard constraints, while the neighborhood phase is established for further improving the solution quality with a special representation and innovative neighborhood generations within TS algorithm. The aim is to move sample points towards a high-quality solution while avoiding local optima by utilising a calculated force value. It is observed that the enhancement strategy could improve the solution quality of the constructed roster. It is concluded that the TS with enhancements approach is able to assign effective and efficient shift duties for the NRP especially when related with real-world working regulations and nurses preferences. © 2020 R. Ramli et al., published by EDP sciences.

关键词： Tabu search

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Optimum Nutrition Intake from Daily Dietary Recommendation for Indonesian Children using Binary Particle Swarm Optimization Algorithm

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Procedia computer science 2019年 157卷 16-24页

作者： Fanny Lili Ayu Wulandhari Sani Muhamad Isa Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department Binus Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Optimum nutrition intake in daily dietary habit has a significant role for children growth. Nevertheless, the mistakenness in the fulfillment of nutrition still concerned. It happens because an individual does not have much knowledge about the energy content of food and food combination to meet the nutrition requirement. The objectives of this research are to facilitate an individual to obtain the optimum nutrition intake from their daily dietary habit. This paper proposes a Binary Particle Swarm Optimization (BPSO) algorithm to find the optimum combination of food portion and food option for an individual daily dietary habit. The food data is obtained from ’Tabel Komposisi Pangan Indonesia ’ book which contains more than 1600 kind of Indonesian food. The results show that BPSO provides an optimum nutrition intake accuracy of 99.14%. Moreover, the nutritionist is already validated that this experiment is succeed in recommending a variation of daily dietary habit that meet an optimum nutrition intake for an individual. Based on this result it can be conducted that BPSO can provide the better accuracy of optimum nutrition intake than Genetic Algorithm (GA), while GA can only provide an optimum nutrition intake accuracy of 97.87%.

关键词： Optimum nutrition Energy requirement Energy intake Dietary habit recommendation Binary Particle Swarm Optimization

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