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8th International Conference on ICT for Smart Society, ICISS 2021

作者： Winanti Meyliana Sestri Goestjahjanti, Francisca Lumban Gaol, Ford Prabowo, Harjanto Ferdiyatmoko Cahya Kumoro, Dwi STMIK Insan Pembangunan Information System Departement Tangerang15810 Indonesia Bina Nusantara University School of Information Systems Information Systems Department 11480 Indonesia STIE Insan Pembangunan Management Departement Banten Tangerang15810 Indonesia Bina Nusantara University BINUS Graduate Program-Computer Science Computer Science Department Jakarta11480 Indonesia Computer Science Department Doctor of Computer Science Bina Nusantara University 11480 Indonesia

ISBN: (纸本)9781665416979

This paper discusses basic culinary learning in universities using gamification techniques. The learning objectives are carried out to improve maximum learning outcomes, create a sense of pleasure and joy (satisfaction), and increase motivation. Although the author realizes that gamification is not the only learning technique that must be applied. The success of learning can be influenced by various factors including the internal factors of students and lecturers which until now have become the most important factors. Apart from the curriculum, social environment, and methods used, gamification is an alternative to produce maximum value, satisfaction, and motivation. The gamification technique is done by dividing students into several groups, each group consisting of 4 to 6 students. Each half-semester group is given learning by conventional methods and the next half-semester is given learning by gamification. Both will be evaluated through the results of the assessment in the form of statistics. The results obtained by using gamification on average have 10 to 20 points better than conventional methods. Students and lecturers become satisfied, motivated and get maximum test scores and they become more creative and innovative due to direct student involvement and fast interaction between lecturers and students. © 2021 IEEE.

关键词： Students

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The Effect of Tax Assessment and Tax Collection On Tax Revenues 2022

The Effect of Tax Assessment and Tax Collection On Tax Reven...

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13th International Conference on E-Business, Management and Economics, ICEME 2022

作者： Meiryani, Meiryani Andini, Vidhiya Warganegara, Dezie Leonarda Budiarto, Adelia Yulma Maisaroh, Fida Kerta, Johan Muliadi Accounting Department School of Accounting Bina Nusantara University Jakarta11480 Indonesia Doctoral Program Binus Business School Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Bandung Campus Jakarta11480 Indonesia

ISBN: (纸本)9781450396394

The purpose of this study was to determine the effect of tax audit and tax collection on tax revenue at Tax office (KPP) Pratama West Jakarta, using 35 research samples. The research sample was taken by purposive sampling. The method used in this research is multiple regression analysis with the F test and t test. Before using multiple regression analysis, the classical assumption test was carried out first which included the normality test, multicollinearity test, heteroscedasticity test and autocorrelation test. The results of simultaneous hypothesis testing (F test) shows that tax audit and tax collection have an influence on tax revenue. Meanwhile, based on the results of the partial hypothesis test (t test), it shows that the tax audit has an influence on tax revenue and for the tax collection variable has a positive effect on tax revenue. tax audits are carried out as a means of law enforcement for taxpayers who are negligent in fulfilling their tax obligations so that inhibiting factors in the implementation of tax audits can be overcome and efforts to increase state revenue from the tax sector can be achieved, so that the impact of the better tax audits conducted by tax officials will be can increase tax revenue. collection efforts are carried out by taking into account the optimization of the number of taxpayers being collected, the higher the level of tax collection, the higher the level of tax revenue. © 2022 ACM.

关键词： Taxation

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User Experience Evaluation of The D'Fastint Application using The User Experience Questionnaire

User Experience Evaluation of The D'Fastint Application usin...

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HCI and UX Conference in Indonesia (CHIuXiD), International

作者： Daffane Aurelia Maharani Mirza Ramadhani Mutiara Puspitasari Wulandari Rania Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

Interior architecture, a dynamic field meeting evolving community needs, plays a pivotal role in enhancing built environments. D'Fastint, an interior design services provider, developed a mobile app for client interactions. Before its full release, a comprehensive User Experience (UX) evaluation via the User Experience Questionnaire (UEQ) was conducted. The primary goal was to assess user satisfaction, pinpoint areas lacking in meeting expectations, and plan improvements. The evaluation revealed that the Novelty dimension scored the lowest average (1.234), while the Attractiveness dimension scored the highest (1.677). Overall, users expressed satisfaction, happiness, and motivation with the D'Fastint app. This research provides a novel perspective on interior architecture services and mobile app utilization, addressing unique user needs and preferences. In the context of related works, our study enriches the discourse on UX evaluations and their implications for mobile apps in interior architecture services. It emphasizes the significance of preemptive evaluation and continuous improvement for exceptional user experiences.

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Haters Fat: Mobile Health Application to Help the Productive Young Generation Achieve a Healthy Life

Haters Fat: Mobile Health Application to Help the Productive...

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International Conference on ICT For Smart Society (ICISS)

作者： Mutiara Indah Zakiyyah Andi Pramono Rifaldy Galih Santosa Agung Purnomo Fairuz Iqbal Maulana Ira Audia Agustina Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

The study examines how young people's health-related behaviors have changed due to access to mobile health (mHealth) technology when looking for health information and services. The authors emphasize that risky health practices among young people, such as a poor diet, lack of activity, and late-night sleeping habits, make them more susceptible to physical and mental problems. This quantitative descriptive study aims to ascertain the opinions and preferences of the Surabaya-area sports community in the Health and Fitness category of the Android OS mobile application. The method employed is a survey utilizing web-based questions for data collection. The questionnaire results were examined by quantitative descriptive analysis techniques and displayed as percentages. The Haters Fat application is a prototype with the primary function as a learning medium to carry out health activities, monitoring, and various health services offered. This prototype starts with making activity diagrams and continues with wireframes for smartphone displays. Furthermore, the prototype was developed considering the user interface (UI) and user experience (UX). It was discovered that most respondents had a favorable opinion of the Android operating system's health and fitness category of smartphone applications. 22.6% of respondents had accurate categorization views based on the investigation. The smartphone applications in the fitness and health category for the Android operating system received only a superficial evaluation from 30.6% and 4.8% of respondents, respectively. Most survey participants are intensely interested in the health-related Android smartphone application. The majority of respondents, in contrast, have limited perceptions.

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Mapping the Literature of Artificial Intelligence in Medical Education: A Scientometric Analysis 7th

Mapping the Literature of Artificial Intelligence in Medical...

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7th International Conference on Inventive Communication and Computaional Technologies, ICICCT 2023

作者： Maulana, Fairuz Iqbal Zaın, Muhammad Yasır Lestari, Dian Purnomo, Agung Adi, Puput Dani Prasetyo Computer Science Department Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering Study Program University of Madura Pamekasan Indonesia Faculty of Medicine Universitas Airlangga Surabaya60132 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Jakarta11480 Indonesia Telecommunication Research Center National Research and Innovation Agency Jakarta11480 Indonesia

ISBN: (纸本)9789819951659

This study aims to investigate the use of artificial intelligence in health education in the last ten years from 2012 to 2022 using the Scopus database. Researchers use bibliometric analysis combined with the quantification method of Vosviewer and Rstudio software used for literature analysis. The results of the article that were flushed showed data such as the year of publication, journal, country, keywords, and authors, to the highest number of citations. The general keywords used by researchers are artificial intelligence, medical, and education. Researchers limit findings through keywords as in the last ten years and English only so that 1681 articles were obtained. According to the study's findings, McGill University affiliation had the greatest number of papers, with 69 pieces, and medicine had a proportion of 39.7% (n = 1067). This bibliometric study will be useful for other researchers to examine the development of research on artificial intelligence in health education in the last ten years. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Medical education

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Code-mixed sentiment analysis of Indonesian language and Javanese language using Lexicon based approach 2

Code-mixed sentiment analysis of Indonesian language and Jav...

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2nd Annual Conference of science and Technology, ANCOSET 2020

作者： Tho, C. Heryadi, Y. Lukas, L. Wibowo, A. Department of Computer Science Binus Graduate Program Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia

Nowadays mixing one language with another language either in spoken or written communication has become a common practice for bilingual speakers in daily conversation as well as in social media. Lexicon based approach is one of the approaches in extracting the sentiment analysis. This study is aimed to compare two lexicon models which are SentiNetWord and VADER in extracting the polarity of the code-mixed sentences in Indonesian language and Javanese language. 3,963 tweets were gathered from two accounts that provide code-mixed tweets. Pre-processing such as removing duplicates, translating to English, filter special characters, transform lower case and filter stop words were conducted on the tweets. Positive and negative word score from lexicon model was then calculated using simple mathematic formula in order to classify the polarity. By comparing with the manual labelling, the result showed that SentiNetWord perform better than VADER in negative sentiments. However, both of the lexicon model did not perform well in neutral and positive sentiments. On overall performance, VADER showed better performance than SentiNetWord. This study showed that the reason for the misclassified was that most of Indonesian language and Javanese language consist of words that were considered as positive in both Lexicon model. © Published under licence by IOP Publishing Ltd.

关键词： Sentiment analysis

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UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm

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computers, Materials & Continua 2022年第9期72卷 5999-6013页

作者： Rania M Tawfik Hazem A.A.Nomer M.Saeed Darweesh Ali Wagdy Mohamed Hassan Mostafa Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGiza12677Egypt School of Information Technology and Computer Science(ITCS) Nile UniversityGiza12677Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Science and EngineeringThe American University in CairoEgypt Electronics and Communications Engineering Department Cairo UniversityEgypt University of Science and Technology Nanotechnology and Nanoelectronics ProgramZewal City of Science and TechnologyOctober Gardens6th of OctoberGiza12578Egypt

Unmanned Aerial Vehicles(UAVs)provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things(NB-IoT)***,the UAV’s deployment optimization,including locations of the UAV’s stop points,is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection *** this regard,this paper proposes GainingSharing Knowledge(GSK)algorithm for optimizing the UAV’s *** GSK,the number of UAV’s stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire *** superiority of using GSK in the tackled problem is verified by simulation in seven *** provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same ***,the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.

关键词： NB-IoT UAV GSK stop points optimization

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Telematics Work Field Review Text Classification Using the Naïve Bayes Method

Telematics Work Field Review Text Classification Using the N...

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Creative Communication and Innovative Technology (ICCIT), IEEE

作者： Aries Maesya Yaya Heryadi Yulyani Arifin Lukas Wayan Suparta Computer Science Department BINUS Graduate Program - Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Reseach Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Indonesia

Indonesia will benefit from a demographic boom in 2030 with a higher labor supply than in earlier decades. Then in industrial revolution 4.0 robotics and artificial intelligence will take the place of low-skilled or menial employment that don't require specialized expertise (AI). To aim research is Telematics Work Field Review Text Classification Using the Naïve Bayes Method. The method using Multinomial Naïve Bayes model which is trained to learn from patterns in training data set without being programmed explicitly. Then, based on the Term Frequency - Inverse Document Frequency, consider the weighting of the word used (TF-IDF). The text classification stage is then carried out using the multinominal nave bayes classification method with evaluation using the confusion matrix, following the acquisition of the TF-IDF value. In the study it took data with web crawling techniques on social media sites twitter. The data collected was 936 data consisting of 7,8% negative sentiments, 26,4% positive sentiments, and 65,8% neutrals. The results of accuracy testing using the Confusion Matrix. And from the results of such tests resulted in an accuracy of 66%, precision 73%, and recall 85%.

关键词： Social networking (online) Service robots Text categorization Blogs Training data Telematics Data models

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The Transfer Learning Influence on YOLO v8 Performance For Motorbike Detection

The Transfer Learning Influence on YOLO v8 Performance For M...

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International Conference on Computing, Engineering, and Design (ICCED)

作者： Gusti Pangestu Baskoro Aziz Febby Candra Pratama Agung Pumomo Chasandra Puspitasari Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Enterpreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

The number of motorbike theft case in Indonesia has increasing rapidly. This phenomenon led to the increasing of the criminal number especially motorbike theft case. Nowadays, the use of CCTV (Closed Circuit Television) camera has been widely applied. Nevertheless, CCTV does not has the ability to prevent criminal acts such motorbike theft case. Therefore, there is a need of a technology based to prevent motorbike theft acts. This research proposed an initial research of motorbike theft detection system that focused on the process of motorbike detection using Deep Learning approach. In this research, the YOLO architecture was utilized to detect the motorbike object inside an image frame. There are two testing scenarios for motorbike detection process, using trained model, and using pre-trained model. The trained model obtain better result rather than using pre-trained model by achieving 0.93 of its accuracy that proven the YOLO v8 model are working well especially when it is applied with transfer learning process for its based model.

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Visualization and Simulation of Any MPU Architecture Design with Meta-Instruction

Visualization and Simulation of Any MPU Architecture Design ...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Tomoyuki Morimoto Ziming Wang Jiahui Luo Sota Ogawa Toshiyuki Tsutsumi Department of Computer Science School of Science and Technology Meiji University Kanagawa Japan VIAX Co. Ltd. Computer Science Program Graduate School of Science and Technology Meiji University Kanagawa Japan Sony Semiconductor Solutions Corporation NEC Corporation PLUSEM Co. Ltd.

ISBN: (数字)9798350353952

ISBN: (纸本)9798350353969

Our conventional architecture design tool converted instructions of microprocessor (MPU) into meta-instructions with both semantic and functional expressions, and it displayed a circuit diagram of the meta-instruction. The tool was able to perform dynamic simulation only on an educational processor called COMET. However, the meta-instruction must be able to express the arbitrary instruction of at least different significant existing MPUs in order to design arbitrary MPUs. Furthermore, it should be possible to visualize all instructions and then execute them. Therefore, we have improved the meta-instruction so that the architecture design tool applies to major MPUs: MIPS, ARM, and RISC-V in addition to COMET. The improved architecture design tool visualizes and simulates the circuit diagram of the improved meta-instruction. The result shows the possibility of the meta-instruction-based architecture design tool being able to design any MPU.

关键词： Comets Visualization Translation Microprocessors Semantics Hardware Design tools Information and communication technology Engines

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