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• The Impact of Sales Promotion, User Interface and User Experience Design on Shopee App Users' Repurchase Intentions

  90-104

  Gulielmus Brahma Rantau Lumban Tobing

  Patrick Vivid Adinata

  Fransisca Desiana Pranatasari

  Kristia Kristia

  Views:

  2397

  By 2022, Gen Z and millennial consumers dominated Shopee usage in Indonesia. Similar e-commerce platforms are forced to constantly innovate to remain competitive in the market due to increasing competition. Therefore, the primary focus of e-commerce platform development should be on the user interface, user experience design, and promotions that are appealing and easy to access so that potential customers are inclined to repurchase. This research aims to determine the influence of UI design, UX design, and promotions on the repurchase intention of users of the Shopee application. The sampling method used was systematic sampling. Ninety-six respondents are included in the sample. This study uses descriptive analysis, classical assumption tests, multiple linear regression, and hypothesis testing for data analysis. SPSS Statistics 28.0 was used for data processing. The study found that user interface design, user experience design, and sales promotions statistically impact the repurchase intention of users of the Shopee application. The results demonstrate the effectiveness of repurchase intent in e-commerce.

• Composition basics and analysis of visual language of the product

  381-385

  Kremena Markova

  Views:

  205

  The analysis of the visual language of the product demands deeper analysis of the user’s profile and built behavioral patterns. There is an existing group of factors that have relatively constant nature - gender differentiation, age differentiation, belongingness to specific group – social status, place in hierarchy, race, religion, people with special needs, etc. The analysis of the visual language of the product can be done by analyzing the basic arsenal of the composition - the means of composing form shaping: scale –related to the correct size of the products and their components; proportions –associated with organizing the form plastical and visual order of the whole and its parts; contrast - related to the shape of the product, semantical or bounded to past experience; color –bounded to both formal characteristics and plasticity, as well as to contrast and its meaningful designation; plastic of the form - linked to the proportions and scale, which determines not only the structural and formal characteristics of the products, but also the meaningful reading of the forms. The analysis of the individual composite devices is demonstrated by Ingo Maurer’s lighting fixtures.

• Artificial Intelligence Possibilities in Vehicle Industry

  148-154

  József Menyhárt

  Views:

  465

  There have been several attempts during the last decades to extend the ranges of application of artificial intelligence. The aim of the development for AI is to replace human intelligence and experience. The ultimate aim for machines and vehicles is to run much more efficiently and with higher reliability than ever before. The Artificial Techniques (AI) used a wide range of expert systems to optimize problems. Hybrid intelligent management systems have become increasingly influential in artificial intelligence during the last decades. As a result, maintenance and fleet management systems have undergone significant development. By choosing adequate maintenance or operating strategy and taking user behaviour into consideration, these systems can not only increase the reliability and efficiency of vehicles but can also result in financial savings. The paper tries to discusses the applications of AI techniques in predictive maintenance and vehicle industry.

• Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems

  428-436

  József Menyhárt

  Róbert Szabolcsi

  Views:

  300

  Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.