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International Congress on Applied Information Technology

作者： Dedy Prasetya Kristiadi Vindy Richard Sambera Andy Julianto Harco Leslie Hendric Spits Warnars Kiyota Hashimoto STMIK Raharja Tangerang Indonesia Game Application & Technology Program School of Computer Science Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Technology and Environment Prince Songkla University Phuket Campus Thailand

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

Religion is a part of a fundamental human right to serve and worship their God according to their religion and belief. Mobile game application along with the development of mobile phone technology such as a smartphone, tablet, and laptop, can be used to increase the player or user interest to engage with religion thing. Using the mobile game application in mobile gadgets will expand quickly to install and use for religion engagement. The player can learn religion things with fun and entertain ways, where the player does not realize that they do something serious in an unserious way. This paper will explain the model system design for mobile game application for learning Catholicism in fun and entertaining way and for the first development was limited to only three Catholic catechisms such as bible learning, church lesson, and liturgy celebration. For the early development, three types of games were developed such as True or False game, Scramble words game, and multiple-choice game. The mobile game model was designed with a use case diagram, storyboard, and class diagram, where for the current implementation the mobile game application was implemented using a ten tables database.

关键词： Games Land mobile radio Random access memory computer science Mobile applications Mobile handsets Information systems

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Single Layer & Multi-layer Long Short-Term Memory (LSTM) Model with Intermediate Variables for Weather Forecasting 3

Single Layer & Multi-layer Long Short-Term Memory (LSTM) Mod...

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3rd International Conference on computer science and Computational Intelligence, ICCSCI 2018

作者： Salman, Afan Galih Heryadi, Yaya Abdurahman, Edi Suparta, Wayan Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Electrical Engineering Faculty of Science and Technology Sanata Dharma University Yogyakarta55282 Indonesia

Weather forecasting has gained attention many researchers from various research communities due to its effect to the global human life. The emerging deep learning techniques in the last decade coupled and the wide availability of massive weather observation data have motivated many researches to explore hidden hierarchical pattern in the large volume of weather dataset for weather forecasting. The purposes of this research are to build a robust and adaptive statistical model for forecasting univariate weather variable in Indonesian airport area and to explore the effect of intermediate weather variable related to accuracy prediction using single layer Long Short Memory Model (LSTM) model and multi layers LSTM model. The proposed forecasting model is an extension of LSTM model by adding intermediate variable signal into LSTM memory block. The premise is that two highly related patterns in input dataset will rectify the input patterns so make it easier for the model to learn and recognize the pattern from the training dataset. In an effort to achieve a robust model for learning and recognizing weather pattern, this research will also explore various architectures such as single layer LSTM and Multiple Layer LSTM (4 layers LSTM). The dataset is weather variable data collected by Weather Underground at Hang Nadim Indonesia airport. This research used visibility as predicted data and temperature, pressure, humidity, dew point as intermediates data. The best model of LSTM in this experiment is multiple layers LSTM and the best intermediate data is pressure variable. Using the pressure variable this model has gained the validation accuracy 0.8060 and RMSE 0.0775. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Long short-term memory

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Mobile Patient Application for Outpatient

Mobile Patient Application for Outpatient

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International Conference on Informatics and Computing (ICIC)

作者： Dedy Prasetya Kristiadi Muhaimin Hasanudin Sutrisno Jennifer Salim Michael Glenn Gunawan Angeline Laurence Antoni Chandra Harco Leslie Hendric Spits Warnars Teddy Mantoro Raharja University Tangerang Indonesia School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Science and Technology Sampoerna University Jakarta Indonesia

We as a human can not avoid the disease, and when we are sick, we need to see a practical doctor. However, in term of location and patient's right for changing the practical doctor, then the patient when moving from one practical doctor to others will have similar and repeated questions such as medicine allergy, history of diseases and so on. Moreover, become a problem for a vulnerable patient such as unconscious patient, disabled or elderly when seeing a new practical doctor and at the end of the day, it will become malpractice. Few of the causes of the problem above are the lack of health education, delay in diagnosing/misdiagnosis, and inaccessible healthcare facilities and with the increasing popularity of telemedicine and IoT across the world, then we need to apply IoT in order to help the patient. In this paper, a framework is created and designed for an IoT-integrated mobile application for the patient where this mobile application is expected to be implemented.

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Drones computer Vision using Deep Learning to Support Fishing Management in Indonesia

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Suryadiputra Liawatimena Wiedjaja Atmadja Bahtiar Saleh Abbas Agung Trisetyarso Antoni Wibowo Erland Barlian Lilik Tri Hardanto Natassya Afdalena Triany Faisal Jaka Sulistiawan Albert Cahya Yojana Computer Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Doctor Computer Science Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School - Doctor of Research in Management Bina Nusantara University Jakarta Indonesia 11480

It is necessary to study technical factors such as bait used, oceanographic conditions of fishing areas and skipjack tuna trade patterns (Katsuwonus pelamis) as well as other factors in Sulawesi Fisheries. Supporting data to study these technical factors need to be obtained so that it can be improved throughout the year as a skipjack fishing standard with weights taken by the skipjack weights. Therefore, drones and underwater drones with cameras with high-resolution video and images to be fed and processed by computer vision. These drones are operated via Huhate ships which are then used to test efficient technical factors as expected, can be used in determining the size, shape, and colour as well as the analysis of skipjack fish that are in the Fish Aggregating Devices (FADs or Rumpon) in order to manage the management of fisheries managed in Indonesia.

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Development Conceptual Model and Validation Instrument for E-Learning Succes Model at Universities in Indonesia: Perspectives influence of Instructor's Activities and Motivation

Development Conceptual Model and Validation Instrument for E...

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International Congress on Applied Information Technology

作者： Titan Erick Fernando Dina Fitria Murad Harco Leslie Hendric Spits Warnars Kristianus Oktriono BINUS Online Learning Bina Nusantara University Jakarta Indonesia School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Language Center Faculty of Humanities Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728158624

ISBN: (纸本)9781728158631

The purpose of this study is to develop conceptual models and validation instruments for the success of e-learning systems in Indonesian universities from factors that influence instructor activity and user motivation. Model development is based on the IS success model of DeLone and Mclean by adding instructor activity and motivational variables based on related literature studies. Evaluation is done by testing the reliability and validity of the instrument. Data collection by distributing instruments online with the snowball method, respondents obtained were 234 used as data analysis with SmartPLS 2.0 software. The results of this study produced a conceptual model consisting of 9 variables and 83 instruments which were validated according to the provisions. From these results, it can be implemented in future research by increasing larger respondents to get results that represent the success of e-learning systems at universities in Indonesia.

关键词： Electronic learning Information systems Instruments Reliability Learning systems Organizations Computational modeling

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Autonomous car using CNN deep learning algorithm

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Journal of Physics: Conference Series 2021年第1期1869卷

作者： I Sonata Y Heryadi L Lukas A Wibowo Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Jl. Kyai H. Syahdan No.9 Jakarta Indonesia 11480 Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jl Jend. Sudirman No.51 Jakarta Indonesia 12930

Autonomous cars have become an interesting discussion in recent years. Several major automotive industries such as Tesla, GM and Nissan are trying to become pioneers in autonomous car technology. Giant technology companies such as Google Waymo, Baidu and Aptiv also developing autonomous car technology. Several technological approaches are carried out in implementing autonomous cars for recognizing surrounding situations, such as radar, lidar, sonar, GPS, and odometry. An automatic control system is used to control navigation based on the data obtained from these sensors. This paper will discuss the use of CNN deep learning algorithm for recognizing the surrounding environment in creating the automatic navigation required by autonomous cars. The system designed will create and learn the data set that will be taken in advance and the learning outcomes will be implemented in an open simulation system. This simulation shows high accuracy in learning to navigate the autonomous car by observing the surrounding environment.

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Key Successful Factors of Executive Information System Implementation in Higher Education: A Systematic Literature Review 3

Key Successful Factors of Executive Information System Imple...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Winanti Meyliana Hidayanto, Achmad Nizar Prabowo, Harjanto Gaol, Ford L. Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Faculty of Computer Science Indonesia University Depok16424 Indonesia

ISBN: (纸本)9781538658215

Providing easy access for university executives that refers to key success factors is a must for universities. The information system integrates with all departments to obtain fast and accurate information for decision making. The purpose of this paper is to determine the factors that affect the application of executive information systems in universities in view of technological factors, data factors and internal factors of college. The results will be used by all stakeholders of higher education internally and externally. Internal side for the purposeof improving the quality and performance of universities, while the external side can be utilized for the purpose of the institution accreditation process. The method used is to collect research results relating to executive information systems in colleges and review based on predetermined keywords and analyze the results of reviews into a complete report. © 2018 IEEE.

关键词： Data warehouses

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Web Application Vulnerability Detection Using Taint Analysis and Black-box Testing

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IOP Conference Series: Materials science and Engineering 2020年第1期879卷

作者： Heribertus Yulianton Agung Trisetyarso Wayan Suparta Bahtiar Saleh Abbas Chul Ho Kang Computer Science Department Binus Graduate Program | Doctor of Computer Science Bina Nusantara University West Jakarta Indonesia Faculty of Information Technology Universitas Stikubank Semarang Department of Informatics Universitas Pembangunan Jaya

Web applications continue to grow however web attacks are also increasing, this shows an increase in web application vulnerabilities. Several methods have been used to detect vulnerabilities in web applications such as black-box testing, dynamic analysis, and static analysis. In this article, we propose a framework for detecting web application vulnerabilities by combining all three methods. The strengths of one method are used to overcome the weaknesses of another method. This framework is believed to provide better results than if each method was used separately.

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The Key Success Factors in E-Marketplace Implementation: A Systematic Literature Review 3

The Key Success Factors in E-Marketplace Implementation: A S...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Prihastomo, Yoga Meyliana Hidayanto, Achmad Nizar Prabowo, Harjanto Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 12940 Indonesia Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Faculty of Computer Science University of Indonesia Depok16424 Indonesia Management Department Bina Nusantara University BINUS Business School Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Globally, internet users and mobile phone are increasing significantly all the time. One of the impacts from the growth of it, there is the revolution in a traditional market. Nowadays, people tend to buy something through an online channel or electronic marketplace (e-marketplace). This study aims to obtain literature of key success factors of e-marketplace implementation. It uses Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to articles published in 2005-2018. A total of 231 articles obtain from considerable databases for instance: IEEE Explore, ACM Digital Library, science Direct and etc. Furthermore, it validates and examines in order to obtain 37 articles which can be used as the main study. As the result, it finds 11 key success factors for e-marketplace as follows: Trust, technical, platform, platform owner, product, service operation, seller, marketing and sales, payment channel, buyer, and environmental. © 2018 IEEE.

关键词： Digital libraries

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Analysis of Gamification Models in Education Using MDA Framework

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Procedia computer science 2018年 135卷 385-392页

作者： Gede Putra Kusuma Evan Kristia Wigati Yesun Utomo Louis Khrisna Putera Suryapranata Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Gamification nowadays is being one of techniques that can increase motivation and encourage the involvement of users, particularly in education domain that requires teaching and learning activities to be more fun and interesting. This paper surveys some analysis of gamification models. MDA framework is used to identify surveyed papers by breaking them down into three categories: mechanics, dynamics and aesthetics. Findings from the survey show there are many gamification models in education domain. However, there are some very representative gamification models could be used as a method to increase motivation, achievement and engagement in learning activities. By knowing the latest gamification models in education domain stated in this paper, it could help gamification practitioners to make new strategies in learning activities to increase students’ motivation, achievement and involvement. We also suggest some gamification strategies, which combine several mechanics in such a way to create dynamics that results in all types of aesthetics outputs.

关键词： Gamification in education Gamification models Student motivation Student achievement

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