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Predicting Relegation Clubs in Italian Serie A with Method based C4.5 Decision Tree Algorithm

Journal of Physics: Conference Series 2020年第1期1471卷

作者： F Syukmana E Wahyudi W Gata H Wahono N I Febianto A Y Kuntoro R O Nitra L Effendi D D Saputra O R Sulaeman Master of Computer Science Postgraduate Program STMIK Nusa Mandiri Indonesia Graduate School Master's Degree Computer Science STMIK Nusa Mandiri Indonesia

The purpose of this study is to help small clubs from Italian Serie A in finding the minimum targets to avoid relegation into Serie B competition (below Serie A league). Relegation will reduce the club's income from TV revenues and the decline of enthusiastic supporters. Based on the data from the final standings (seasons 2006 until 2018), this can be explained by the Decision Tree method using the C4.5 algorithm. The methods used in this study are data collection, data pre-processing, model proposal, model testing, and model validation. In this study, it is expected that the value of accuracy exceeds 85% to achieve a proper classification.

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Clustering Steam User Behavior Data using K-Prototypes Algorithm

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Journal of Physics: Conference Series 2019年第1期1367卷

作者： Kiefer Stefano Ranti Kelvin Salim Abba Suganda Girsang Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

The use of user telemetry to gather player behavioral data on video games can be very beneficial to game developers with a certain business model. With the help of user telemetry in game development, it can provide access to data on user behavior from installed game clients platform such as Steam. These behavioral data can be used to find out the Steam user behavioral patterns on playtime distributions that can be studied by developers in order to have a deeper understanding of the behaviors of their players. In this study, the data are clustered using the k-prototypes algorithm, a combination of k-means and k-modes algorithm that can be used to cluster mixed attributes. The result shows that the clusters represent the types and preferences of the players.

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RepositORE: A Learning Objects Repository for Educational Robotics

RepositORE: A Learning Objects Repository for Educational Ro...

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IEEE Latin American Robotics Symposium, LARS

作者： Kefton David Nunes De Melo Cleyton Carlos Santos Costa Thalia Katiane Sampaio Gurgel Sebastião Emidio Alves Filho Computer Science Course State University of Rio Grande do Norte Mossoró RN Brazil Master's Course in Computer Science Rio Grande do Norte State University (UERN) and Federal University of the Semi-Arid Region (UFERSA) Mossoró RN Brazil Postgraduate Program in Computer Science - PPgCC UERN/UFERSA Rio Grande do Norte State University (UERN) and Federal University of the Semi-Arid Region (UFERSA) Mossoró RN Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

Education is a motivating area for the use of technologies because the learning process can become more dynamic and interesting. Among the technological resources used in education, Educational Robotics stands out by enabling the development of technological projects that can involve techniques of construction and manipulation of robots and enable the development of the creative process, logical reasoning, and interdisciplinarity. However, acquiring knowledge in this area can be a complex task since the learning objects are spread due to the increase in content production brought by the massive use of the Internet. Thus, the present work has as a general objective present RepositORE, a repository where these objects of Educational Robotics can be stored and searched by users who need to acquire specific abilities. For Educational Robotics objects to be found faster and achieve their technical and pedagogical goals, the system uses metadata for the correct description of stored objects based on the Dublin Core Metadata standard. To improve and simplify the search for objects, an adaptation and extension of the Dublin Core standard was made to represent the specific information for Educational Robotics. RepositORE allows users to insert new content and collaborate through complementing information from objects registered by other users.

关键词： Conferences Education Production Metadata Search problems Cognition Internet

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Artificial Intelligence and Digital Media Industry Through Social Media Based on OpenAI Technology in the Indonesian Presidential Election 2024

Artificial Intelligence and Digital Media Industry Through S...

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International Conference on Smart Computing & Communications (ICSCC)

作者： I Gusti Ayu Agung Dewi Sucitawathi Pinatih Ni Putu Bayu Widhi Antari Kacung Marijan Gopal Sakarkar Public Administration Master's Study Program Universitas Pendidikan Nasional Denpasar Indonesia Public Administration Study Program Universitas Pendidikan Nasional Denpasar Indonesia Political Department Universitas Airlangga Surabaya Indonesia Department of Computer Science and Applications Dr. Vishwanath Karad MIT World Peace University Pune India

ISBN: (数字)9798350363104

ISBN: (纸本)9798350363111

This research aims to explain the use of social media based on OpenAI technology in the 2024 Presidential Election in Indonesia. The methodology used is based on a descriptive qualitative study with primary and secondary data analysis techniques. Primary data was obtained through interviews with academician in the fields of political marketing and academician in the fields of information technology. Secondary data was obtained through several journal literatures and official websites related to the research topic. The validity of the data is obtained through source triangulation based on interview data from different informants and documentation studies to obtain valid information. This study found that the use of AI-based social media is based on the advantages of OpenAI's more sophisticated technological features, fast and real-time data analysis capabilities, and content visualization capability of image rebranding.

关键词： Technological innovation Data analysis Social networking (online) Voting Data visualization Media Market research Real-time systems Interviews Information technology

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Use of a OWL ontology for creating Interactive Learning object

Use of a OWL ontology for creating Interactive Learning obje...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Bruno N. Luz Rafael Santos Andreza S. Areão Marcos H. Yokoyama Luiz Egidio Cunha Valéria Martins Marcelo P. Guimaräes Master Program in Computer Science FACCAMP – Campo Limpo Paulista SP Brazil Science and Technology of São Paulo - Campus Boituva Federal Institute of Education Brazil Mackenzie Presbiterian University São Paulo Brazil Open University of Brazil - Federal University of São Paulo (UAB/Unifesp)

Interactive Learning objects (ILO) are explored in this paper in order to provide an improvement in teaching learning process, ensuring the monitoring of students by professor through the interaction provided by ILO. The article describes an ontology that defines and structure the classes of the elements of the ILO's metadata standard. This ontology is used as the basis for the development of a Virtual learning environment capable of running these objects and at the same time offer a system of tracking and monitoring the development of the student during the entire process. The ontology is validated through the results of the use of the ILO in the environment with a class of 20 students of the course of computer science.

关键词： OWL Ontologies Electronic learning Monitoring Computational modeling

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Collaborative Recommendation System in Users of Anime Films

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Journal of Physics: Conference Series 2020年第1期1566卷

作者： A S Girsang B Al Faruq H R Herlianto S Simbolon Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

The recommendation system is one method to know the preference consumer by showing the potential object. This recommendation also helps the consumer gets the preference object. One of the popular objects in the recommendation is anime film. In this case, we conduct research to recommend anime films based on ratings of previously watched films. Collaborative filtering is a technique that consists of calculating similarities, predictions, and recommendations. This study is taken from dataset Kaggle which consists of 73,516 users and 12,294 anime. A user's history will be matched with the whole user's history with alternating least squares (ALS) method. The anime will be recommended based on that results. This method is expected to help millions of users find the desired anime.

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Service Desk Implementation with Information Technology Infrastructure Library Framework (Study Case Financial Company)

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Journal of Physics: Conference Series 2018年第1期1090卷

作者： Dwi Handoko Abba Suganda Girsang Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This paper proposes a service desk to handle two important issues in financial company using the Information Technology Infrastructure Library (ITIL) Framework, i.e. Single Point of Contact (SPOC) and Service Level Agreement (SLA) issues. SPOC is a gateway to information needs of both users and company staff, particularly the IT staff, while SLA defines the responsibilities of the parties where such services work and provides coverage for services provided to the client to achieve client satisfaction. The service desk is built by focusing in service operation. A service desk has been successfully built in this study to make user's problem controllable. The result also shows that the user's problem can be solved faster in many cases.

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Business Intelligent in an E-Commerce Industry

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IOP Conference Series: Materials science and Engineering 2019年第1期598卷

作者： A M Purnamasari C E A Pah M D I Yoga A S Girsang S M Isa Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

According to a survey from *** about in 2017, retail e-commerce sales worldwide amounted to 2.3 trillion US dollars and e-retail revenues are projected to grow to 4.88 trillion US dollars in 2021. Each year, e-commerce business increasingly popular. Some retail companies finally decided to focus on internet-based sales to get more customers. Along with transactions that continue to be carried out from year to year, transaction data continues to be stored and stacked and of course space consuming. So after years, Business Intelligence is finally appeared and offer great data processing. Without a business intelligence, these stacked big data are useless and wait to be removed because of poor knowledge. Business intelligence turns on the poor knowledge data into rich knowledge data visualization. This paper proposed a data warehouse that can be used to build a business intelligent with utilize information obtained from the history of transactions. To build up this business intelligent, authors uses methodology steps by Kimball which consists 4 steps of dimensional design process. Furthermore, data analysis will be presented in a dashboard using Power BI.

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The Influence of Applying Digital Toolkits to Assist 3D Software Development on Individual Work Performance and Perceived Stress

The Influence of Applying Digital Toolkits to Assist 3D Soft...

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International Conference on Applied System Innovation (ICASI)

作者： Wen-Chuan Wu Ming-Han Lee Dep. of Computer Science and Information Engineering National Ilan University Yilan City Taiwan R.O.C. Master Program of E-Learning for Multimedia and Network Communications National Ilan University Yilan City Taiwan R.O.C.

ISBN: (数字)9798350394924

ISBN: (纸本)9798350394931

Digital content industry, encompassing areas such as digital games, computer animation, digital audio-visual applications, and digital art, plays a pivotal role in today's and future developmental trends. Maya 3D software stands out as a crucial development tool in these domains. However, the multitude of built-in tools in Maya 3D can lead to overly complex interfaces, impacting development efficiency for software developers. To address this issue, this paper designs a digital toolkit for Maya 3D software, presented in a Menu Bar format. This toolkit offers features like naming, sorting, categorization, and automatic saving to JSON files for future use. Through a crossover experimental design, this paper investigates the impact of this proposed toolkit on 3D software developers' individual work performance, work engagement, and stress perception. Results shows a significant positive influence of that toolkit on software developers, particularly in enhancing work performance. It means that the proposed digital toolkit effectively improves the performance of software developers' work and reduces their stress during the software development process.

关键词： Industries Technological innovation Three-dimensional displays Market research Software Stress Software development management

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Virtual Plant of Basil (Ocimum Basillicum) by Using Functional-Structural Plant Model

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IOP Conference Series: Earth and Environmental science 2022年第1期998卷

作者： Ditdit Nugeraha Utama Heraldo Y Purwantono Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Indonesia is one of the most populated and large country in south-east Asia. Its abundance of natural resources was well known. Supported by its tropical climate, made Indonesia is also among the largest tropical country in the world. However, according to the data, arable land in Indonesia has drastically decreased over the years in line with the rising demand for residency areas. This statistic shows a rather concerning fact that it is possible that even though Indonesia with this richness of natural resources one day would not fulfil its own domestic food needs. Moreover, competitions and hindrances that experienced by the Indonesian farmers might also worsen this limited food supply. In this research, the computational plant model (called virtual model) of the above-land Basil plant (Ocimum Basillicum P.) was proposed. The Basil plant that is taken as a research object is specific. It is a plant growing in a hydroponic environment. By using structural and functional plant model (FSPM) and simple mathematical and statistical methods, the constructed model was able to portray the growth pattern of each plant organ morphologically and biologically. The development and growth patterns of each plant organ (i.e., stem, petiole, leaves, etc.) are also depicted in detail and precisely. The model was quite novel. It practically can be exploited by agronomists and researchers to see the potential effort in optimizing the plant's yield.

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