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25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024

作者： Maulana, Fairuz Iqbal Lestari, Dian Rahayu, Anita Adi, Puput Dani Prasetyo Puspitasari, Chasandra Persada, Satria Fadil Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Faculty of Medicine Surabaya60132 Indonesia Research Center for Telecommunication Bandung Indonesia Bina Nusantara University Binus Business School Undergraduate Program Entrepreneurship Department Jakarta Indonesia

ISBN: (纸本)9798350378573

This study investigates the factors influencing user willingness to share data in mobile health (m-health) applications in Indonesia, integrating the Technology Acceptance Model, Theory of Planned Behavior, and Privacy Calculus Theory through Structural Equation Modeling (SEM). Data were collected via an online questionnaire from 103 Indonesian active users of m-health platforms, aged 15-55, focusing on applications that provide online consultations and health-related information. The SEM analysis, validated by indices including the Goodness of Fit Index and Root Mean Square Error of Approximation, reveals a strong model fit. The findings highlight that perceived benefits, such as improved health outcomes and personalized advice, are the primary drivers for users' willingness to share data, significantly outweighing concerns over privacy risks. Perceived usefulness and trust in the application also significantly affect data-sharing behavior, while ease of use and social influences have a moderate to minor influence, respectively. These insights are critical for application developers and policymakers in enhancing app utility and user engagement while addressing privacy concerns. The study's limitations include its demographic scope and reliance on self-administered questionnaires, pointing to directions for future research to broaden demographic representation and deepen qualitative insights. © 2024 IEEE.

关键词： data sharing mHealth privacy concerns SEM analysis structural equation modeling

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An innovative artificial intelligence-based visualization and rendering for e-commerce startup booth design 9th

An innovative artificial intelligence-based visualization an...

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9th International Conference on computer science and Computational Intelligence, ICCSCI 2024

作者： Kalleya, Calista Pramono, Andi Angelina, Chelsea Putri Cuarista, Wilbert Alvin Prabowo, Riefky Maulana, Fairuz Iqbal Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Marketplace development is increasing, as is the number of people with active internet access. Unive is a startup that runs an e-commerce platform connecting Student Activity Units with consumers. Focuses on fostering student entrepreneurship through practical business experience. For its development, this startup needs an interior for business escalation. Designers need software integrated with artificial intelligence (AI) in interior design. This study explores the integration of AI-powered rendering tools in the design of e-commerce platforms, focusing on how these tools enhance the user experience and satisfaction. The research employs a mixed-method approach, combining qualitative and quantitative analyses. The author collected data through user surveys, expert interviews, and performance metrics of AI rendering tools. The author based the evaluation criteria on adherence to interior design principles and the quality of rendering results. Findings indicate that selecting furniture and supporting components that adhere to interior design principles results in optimal rendering outcomes. These outcomes are close to user expectations, significantly improving user engagement and satisfaction. Detailed analysis shows the effectiveness of AI rendering in various design scenarios. The discussion highlights the implications of integrating AI rendering tools in e-commerce platforms. It addresses the potential of these tools to revolutionize user interaction and provides insights into future developments and applications in the field. This study demonstrates the value of AI-powered rendering tools in enhancing e-commerce platform design. By adhering to interior design principles, these tools can achieve rendering results that meet user expectations, ultimately leading to improved user experiences. © 2024 The Authors.

关键词： Marketplaces

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The Development of an Artificial Intelligence-Powered Visualization Tool for the Presentation of a Tea Cafe Startup 11

The Development of an Artificial Intelligence-Powered Visual...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Hariyoko, Chelytha Pramono, Andi Daniswara, Desy Silvia Richard Ho, Alken Kurniawan, Bambang Kartono Nabillah, Salsa Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia School of Design Bina Nusantara University Interior Design Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350389654

Numerous beverages available in Indonesia belong to the category of harmful drinks, which contributes to the country's high diabetes rate. As a result of the rising prevalence of diabetes among the population in Indonesia in recent years, primarily attributed to the growing use of harmful beverages, ***. Tea assistance with the rise of the tea startup. The primary objective of this startup is to establish a tea shop within the mall. In order to plan the interior design, the author requires a prototype in the form of visual support. This research aims to develop a design for a tea cafe startup employing advanced methodologies that utilize Artificial Intelligence (AI) software. The employed approach entails a solitary case study employing software for generating three-dimensional (3D) objects and artificial intelligence (AI)-driven software for rendering. The first phase of the planning process involves creating a mood board and designing a three-dimensional tea cafe layout. The final result is a 3D image that is devoid of colour, as well as one that has been filled with colour. Software powered by artificial intelligence generates this image, responding to different triggers. Images that adhere to interior design principles when selecting furniture and supporting elements will yield superior rendering outcomes and align more closely with the desired results of the company owner. In this study, the author also incorporates Sustainable Development Goals (SDGs) number 2 and 3 when examining the role of this startup. © 2024 IEEE.

关键词： Architectural design

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Diversity-Optimized Group Extraction in Social Networks

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IEEE Transactions on Computational Social Systems 2024年第1期11卷 756-769页

作者： Hsu, Bay-Yuan Chen, Yi-Ling Ho, Ya-Chi Chang, Po-Yuan Chang, Chih-Chieh Shia, Ben-Chang Shen, Chih-Ya National Tsing Hua University Department of Industrial Engineering and Engineering Management Hsinchu30013 Taiwan National Taiwan University of Science and Technology Department of Computer Science and Information Engineering Taipei10607 Taiwan Hsinchu31040 Taiwan Fu Jen Catholic University Department of Business Administration New Taipei City24205 Taiwan National Taiwan University of Science and Technology Management Undergraduate Program Taipei10607 Taiwan National Tsing Hua University Department of Computer Science Hsinchu30013 Taiwan

In this article, we propose to study a novel research problem to boost group performance, that is, social-aware diversity-optimized group extraction (SDGE), which takes into consideration the two important factors: 1) group diversity and 2) social tightness. We prove the NP-hardness of SDGE and propose an effective algorithm, named group shrinking for diversity maximization (GSDM) with a performance guarantee, that is, GSDM is a three-approximation algorithm to the SDGE problem studied in this article. We further propose three effective pruning strategies that are able to boost the efficiency of GSDM but do not deteriorate its performance. We conduct extensive experiments on multiple large-scale real datasets to evaluate the performance of GSDM. The experimental results show that our proposed GSDM outperforms the other baseline approaches significantly, in terms of solution quality and efficiency. Moreover, the experimental results also confirm that our proposed pruning strategies indeed boost the efficiency of the algorithm. © 2014 IEEE.

关键词： Costs

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Deceptive Topographic Path Planning 23

Deceptive Topographic Path Planning

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Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment

作者： Crhistopher Lenhard Henrique L. Krever Ricardo K. Schlsener Rafael H. Bordini Luis A. L. Silva Graduate Program in Computer Science UFSM Brazil Undergraduate Course in Computer Science UFSM Brazil School of Technology PUCRS Brazil

ISBN: (纸本)9798400716270

Deception is essential to model real-world agent behaviors in entertainment and serious games. This paper approaches the challenge of planning deceptive routes on topographic terrains where topographic path costs and other deceptive path factors are analyzed. The work explores alternative deceptive strategies tuned to explore the terrain costs to determine how deceptive the path search nodes are and to return paths with low topographic costs. In addition to the A* algorithm, the Theta* algorithm is explored in the search for smoother deceptive routes, which better represent routes used by terrestrial agents in real-world adversarial situations. It also analyzes deceptive topographic paths computed according to the Last Deceptive Point (LDP) and Last Topographic Deceptive Point (LDPT) notions, where examples of returned paths are presented with the help of terrain relief scenarios. Experimental results with the proposed methods are statistically analyzed according to various path search metrics, showing that all deceptive strategies with A* compute topographic paths with higher numbers of deceptive nodes on reduced execution times. Moreover, the strategies with Theta* and LDPT return paths that show a useful combination of topographic path quality and number of deceptive nodes.

关键词： Deception Deceptive path planning strategies. Path planning Topographic path planning

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Implementation of Sentiment Analysis of Shopee E-Commerce Reviews using Naïve Bayes, N-Gram, and Information Gain

Implementation of Sentiment Analysis of Shopee E-Commerce Re...

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International Conference on Informatics and Computing (ICIC)

作者： Andriana Sunjaya Novresia Wijaya Ng Poi Wong Sunaryo Winardi Undergraduate Program of Computer Science Universitas Mikroskil Medan Indonesia

One of the important parts of e-commerce like Shopee reviews. The reviews are part of user trust in conducting business transactions, so it becomes a challenge for sellers to evaluate their products and services. Evaluation can be done by looking at star ratings, but the discrepancy between the content of the review text and the star rating causes the information received to be biased and evaluations carried out by classifying reviews manually require a longer time so sentiment analysis is needed to speed up the process of classifying by objectively dividing product quality into several categories such as positive, neutral, and negative. This study uses the Naïve Bayes method combined with N-Gram feature extraction and Information Gain feature selection to determine positive, neutral, and negative sentiments toward buyer reviews. In its testing, this study used confusion matric to obtain accuracy, precision, recall, and f1-Score results. The best results show an accuracy value of 92%, precision of 56%, recall of 65%, and f1-score of 60%.

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The Role of Social Media in Nourishing Digital Ambidexterity Among MSMEs: Rasch Model View 7

The Role of Social Media in Nourishing Digital Ambidexterity...

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7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Herlina, Maria Grace Iskandar, Karto Rinaldi, Banu BINUS Business School Undergraduate Program Bina Nusantara University Management Department Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bina Nusantara University Business Creation Program Management Department BINUS Business School Undergraduate Program Jakarta11480 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

Indonesians have a keen understanding of technology. However, just 7.4% of all Indonesian MSMEs use digital channels. Even though only a small percentage of MSMEs have used them, the adoption rate has been impressive. Using Rash Model Analysis, the results show that social media experiences substantially impact Indonesian MSMEs' digital ambidexterity. The study's findings imply that small and medium-sized businesses (SMEs) should prioritize their social media experience to anticipate change. To maximize their digital ambidexterity, MSMEs must access sufficient digital environments. A foundation has been laid for future research into the digitalization of small and medium-sized businesses. Small and medium-sized businesses (SMEs) can take advantage of Indonesia's high social media use, which presents several opportunities. © 2022 IEEE.

关键词： Social networking (online)

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The Utilization of Mobile Communication on Marketing: A Systematic Review 8

The Utilization of Mobile Communication on Marketing: A Syst...

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8th International Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Permana, Adora Vania Purnomo, Agung Sarjono, Haryadi Maulana, Fairuz Iqbal Setyani, Etsa Astridya Entrepreneurship Department BINUS Business School Undergraduated Program Bina Nusantara Univerisity Jakarta11480 Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The advancement of mobile communication technology with entrepreneurial minds is advancing, and its use is increasingly playing an important role in business, marketing, and life. However, there are not many studies that focus on the role of mobile communication in the business world, especially those that focus on marketing. The purpose of writing this paper is to determine the status of research and the relationship between mobile communication in the field of marketing. The method used in this research is systematic literature review using the PRISMA protocol, involving 29 articles. Through quantitative analysis, we found that many years of article publication occurred mostly in 2020 due to the development of 5G technology. Australia is the largest article producing country in the world because many researchers are trying to examine public acceptance of mobile communication technology. The use of mobile communication is also mostly used in the marketing and segmentation processes in multilevel firm level marketing with multipoint mobile communication. On the other hand, articles with a marketing perspective that discuss price issues have never been discussed. © 2023 The Authors. Published by Elsevier B.V.

关键词： Entrepreneurship marketing systematic review

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Website and Mobile Based Application Utilization to Increase & Upscale MunchUp Selling Margin 10

Website and Mobile Based Application Utilization to Increase...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Putra W, Muhammad Faadhil Pramono, Andi Gabriella, Jerica Zahirah, Avicena Zalfa Rosalinda, Elina Purnomo, Agung School of Computer Science Bina Nusantara University Computer Science Computer Science Department Jakarta11480 Indonesia School of Design Bina Nusantara University Interior Design Department Jakarta11480 Indonesia BINUS Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Indonesia's Food and Beverage (F&B) development is increasing rapidly every day. Our surroundings demonstrate that more and more food and beverage items, particularly light snacks, are being sold. As a result, the company's chances of connecting with a potential customer are indirectly reduced as market competition in the F &B industry heats up. To solve this problem, MunchUp, which specializes in selling light snacks F &B, tries to fully shift its marketing strategy to utilize the latest technology. The technology that MunchUp uses is a website and mobile-based applications. This research aims to investigate the impact of website and mobile app usage on the selling margin of a business. The study was conducted by analyzing sales data from a sample of the companies that have implemented a website and mobile app for their sales process. The study results indicate that businesses with a website and mobile app have seen an increase in their selling margin compared to companies that do not have a website and mobile app. The study also found that features such as push notifications, loyalty programs, and personalized recommendations can help keep customers engaged and encourage repeat purchases. This research suggests that a well-designed and user-friendly website and mobile app can be a powerful tool for any business looking to boost its sales and increase its revenue. © 2023 IEEE.

关键词： Websites

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Enhancing Road Segmentation in Satellite Images via Double U-Net with Advanced Pre-Processing

Enhancing Road Segmentation in Satellite Images via Double U...

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International Conference on Informatics and Computing (ICIC)

作者： Raden Bagus Muhammad Adryanputra Adhy Wijaya Wahyono Undergraduate Program in Computer Science Universitas Gadjah Mada Yogyakarta Indonesia Department of Computer Science and Electronics Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Roads play an important role in people’s lives by providing access to essential facilities such as schools and hospitals, thereby increasing people’s productivity. The use of satellite imagery and computer vision technology can speed up and improve the efficiency of road map creation. Deep learning methods such as U-Net have been used for road segmentation from satellite images, but the results have yet to be optimal. This study aims to examine the performance of DoubleU-Net and the effect of image pre-processing in satellite image-based road segmentation. This research implements the DoubleU-Net deep learning model for road segmentation based on satellite images. Pre-processing methods such as rotating augmentation, contrast stretching, and edge enhancement are applied to increase the contrast value and clarify the edges in the satellite images used. The results show that combining the two U-Net models into a DoubleU-Net model results in a significant improvement in the IoU and dice coefficient values, achieving an average increase of $\mathbf{2 \%}$ and integrated with image processing, the model performance experiences an average increase in IoU and dice coefficient values of $\mathbf{2 - 4} \%$. The highest performance was achieved by the DoubleU-Net model with rotating augmentation pre-processing, resulting in an IoU performance value of $\mathbf{4 5. 9 9 \%}$ and a dice coefficient performance of $\mathbf{6 1. 1 2 \%}$.

关键词： Deep learning Productivity Image segmentation computer vision Smoothing methods Roads Image edge detection Semantic segmentation Satellite images Remote sensing

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