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Transfer Learning from Chest X-Ray Pre-trained Convolutional Neural Network for Learning Mammogram Data

Procedia computer science 2018年 135卷 400-407页

作者： Bens Pardamean Tjeng Wawan Cenggoro Reza Rahutomo Arif Budiarto Ettikan Kandasamy Karuppiah Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 NVIDIA Corporation

Breast cancer is one of the deadliest cancer for female nowadays. Despite of the rapid advancement in medical image analysis with the rise of deep learning, development of breast cancer detection system is limited due to relatively small size of the publicly available mammogram dataset. In this paper, we discover an effective configuration for transfer learning from Chest X-Ray pre-trained Convolutional Neural Network to overcome the small-size mammogram dataset problem. We found that the best configuration achieve 90.38% validation accuracy for modified.

关键词： Transfer learning Convolutional neural network Medical image analysis Chest X-ray Mammogram

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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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The Trigger Factors and Constraints on e-Supply Chain Processes: A Systematic Literature Review 3

The Trigger Factors and Constraints on e-Supply Chain Proces...

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

作者： Maniah Meyliana Hidayanto, Achmad Nizar Prabowo, Harjanto Gaol, Ford Lumban Computer Science Department Bina Nusantara University Major of Informatics Management Jakarta Bandung11480 Indonesia Information Systems Department Bina Nusantara University School of Information Systems Jakarta Indonesia11480 Indonesia Faculty of Computer Science University of Indonesia Depok16424 Indonesia Management Department Bina Nusantara University BINUS Business School Undergraduate Program Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

The development of information technology will certainly have a major influence on all aspects of life, not least for companies engaged in the supply chain. The role of information technology and electronic networks in running a supply chain is called the Electronic Supply Chain (e-Supply Chain). The main point of this research is to conduct a literature review to find the trigger factors and constraints in the e-supply chain. This research uses the Systematic Literature Review methodology to collect selected research articles. The steps in defining the selected article use PRISMA. Keywords used for article search are ('Trigger' OR 'Driving') AND 'Factors' AND 'Constraints' AND ('Supply Chain' OR 'SC') AND (' electronics supply chain' OR 'e-supply chain') AND 'Processes'. Source of data used includes: Elsevier, ACM Digital Library, Emerald Insight, IEEE Explore, Inder science publisher, and Springer. Based on the literature review that was carried out, the resulting trigger factors in the e-supply chain, including: Integrated supply chain system, IT Support, Service quality;while the constraints include: A supply chain network cyber attack, Manufacturing, storage or distribution problems, Operational, economic, environmental and social factors, Restrictive government regulations, Costs and logistics performance, cost of raw materials, Post-harvest waste, Global / digital markets, product life cycles, consumer demand, Logistics strategy, Global competitiveness, Internationalization of markets and climate change. © 2018 IEEE.

关键词： Supply chains

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Comparison Analysis of Android GUI Testing Frameworks by Using an Experimental Study

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Procedia computer science 2018年 135卷 736-748页

作者： Meiliana Irwandhi Septian Ricky Setiawan Alianto Daniel Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Android is the most popular mobile operating systems on the market share in 2nd Quarter 2017 Android operating system get 87.7% of mobile operating system on the market share. The mobile device Graphical user interfaces (GUI) are one of the main components to be tested for quality assurance. GUI testing is important since they often make up for half of the resource code of the application and GUI is used to interact with the application. Automating these tests is very useful since it saves a lot of time and money. However, the tools or frameworks that are available for automating the tests are often not suitable for developer needs, mainly because of the lack of functionality. Therefore, automated testing framework evaluation is needed. With a comparison study provided, developers will able to consider about testing framework that can fit their needs easily. In this study, we selected top 4 most used Android GUI testing frameworks that will be evaluated by using experimental study. Those frameworks are: Espresso, Appium, Calabash and UI Automator. We also selected the criteria used in this study to evaluate those frameworks. We selected those criteria by identified the best criteria to testing Android application base on our literature analysis. Furthermore, the study resulted in characterization of those frameworks from experiment of a simple Android application.

关键词： android testing testing framework gui testing automated testing

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PROMOTING TIMOR LESTE’S TAIS CLOTH USING MOBILE AUGMENTED REALITY APPLICATION

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Procedia computer science 2018年 135卷 700-706页

作者： Marianus Magno Seran Bria Gede Putra Kusuma Louis Khrisna Putera Suryapranata Computer Science Department BINUS Graduate Program - Master 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

The results of observations showed that the book about Tais produced by Secretariat de Estado da Arte e Cultura (SEAC) has not been able to meet the needs of users because the information is less interesting and interactive. This paper’s aim is to introduce the more interesting and interactive way to introduce Tais. Utilization of Augmented Reality (AR) technology in an application built with the Unity3D program is done to provide different way in presenting interesting and interactive information to its users. Based on the results in this paper, the developed application can handle the presentation in more interesting and interactive way. The ideal distance in the tracking process for target objects with size 7 x 6 cm is ranged from 6 cm to 30 cm, with the image ratio that can be detected at the farthest distance is 4% of the camera image. For the detection angle, the target object can be detected properly from approximately ±64 0 . From the data acquired, it can be said that AR can be used to introduce Tais in more interesting and interactive way.

关键词： augmented reality mobile application tais timor leste cultural heritage

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Optimization for Automatic Personality Recognition on Twitter in Bahasa Indonesia

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Procedia computer science 2018年 135卷 473-480页

作者： Gabriel Yakub N.N. Adi Michael Harley Tandio Veronica Ong Derwin Suhartono Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This paper presents optimization techniques for automatic personality recognition (APR) based on Twitter in Bahasa Indonesia, the mother tongue of Indonesians. Foremost, we discuss Twitter and its utilization as a resource for many types of research. Several previous studies have been attempted to predict users’ personality automatically. However, only a few of them have done their research for Bahasa Indonesia data. Therefore, this paper discusses the optimization of APR in Bahasa Indonesia. We evaluate a series of techniques implementing hyperparameter tuning, feature selection, and sampling to improve the machine learning algorithms used. The personality prediction system is built on machine learning algorithms. There are three machine learning algorithms used in this study, namely Stochastic Gradient Descent (SGD), and two ensemble learning algorithms, Gradient Boosting (XGBoost), and stacking (super learner). By implementing this series of optimization techniques, the current study’s evaluation results show huge improvement by achieving 1.0 ROC AUC score with SGD and Super Learner.

关键词： Automatic Personality Recognition Big Five Optimization XGBoost Super Learner

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Smart E-badge for Student Activities in Smart Campus

Smart E-badge for Student Activities in Smart Campus

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International Conference on ICT For Smart Society (ICISS)

作者： Yakob Utama Chandra Samuel Mahatmaputra Tedjojuwono David Stievan Kurniadi Halim Nashiruddin Al-Fath Irene Teresa Rebecca Information Systems Department Bina Nusantara University Jakarta Indonesia Business Information Systems Program Information Systems Department Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia BINUS Entrepreneurship Center Bina Nusantara University Jakarta Indonesia Animation Program Visual Communication Design Department Bina Nusantara University Jakarta Indonesia

Higher education institution in improving soft skills students is offering additional activities that are useful and offer added value to students in the era of higher education. In general, students need to improve their soft skills in the areas of self-management, teamwork, communication, initiative and entrepreneurship, problem solving & decision-making, planning and organization, etc. With these soft skills, students are expected to have more added value when studying in higher education. This qualitative paper discusses business processes and also user interface for application in higher education institutions to attract more students to participate in activities held by faculty committee or student activity units. With this research, students can be more interesting in terms of gamification in the form of obtaining an e-badge if it has reached a level in the soft skills of the higher education institution.

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Automatic Field-of-View Expansion using Deep Features and Image Stitching

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Procedia computer science 2018年 135卷 657-662页

作者： Juan Leegard Ranteallo Sampetoding Bagus Satriyawibowo Williem Rini Wongso Ferdinand Ariandy Luwinda Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Automatic photo enhancement, such field-of-view expansion, has become a challenging problem in computer graphics community. Due to the hardware limitation, image acquisition might get distracted by small field-of-view. Photo enhancement using internet photo collections has gained good performance in the past few years. However, it depends on the quality of 3D reconstruction. In this paper, we perform an automatic personal photo enhancement using the photo collection without any 3D reconstruction step. 2D global descriptor is used using NetVLAD deep architecture. Then, image stitching is applied for each similar candidate image. Experiment results show that the propose framework has promising results which could lead to further research.

关键词： deep learning image enhancement field-of-view expansion netVLAD image stitching

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Web-based Usability Measurement for Student Grading Information System

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Procedia computer science 2018年 135卷 238-247页

作者： Hendra, S.Kom., M.T. Yulyani Arifin, S.Kom., M.M. Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This paper demonstrates the usability measurement of web-based student grade processing information system. The instrument used is a USE Questionnaire to obtain user satisfaction data. Atisa Dipamkara High school has been using an online application system to process the Students Grade. The application system is a web-based information system to assist the process of making the student reports every semester. This paper discusses the method of measuring the level of use of the application of student grade processing in Atisa Dipamkara High school. One factor in measuring the quality of an information system is usability. Usability level refers to the ease of use of such information systems or software. The higher the usability value means the higher the benefits of the information system in helping the users. This measurement of usability is using USE Questionnaire consisting of 3 parameters namely benefits (usefulness), ease to use and ease to learn. Data collection involves 25 teachers as user respondents of this information system. The result of usability measurement will have the value of "feasibility" and proof that there is significant influence between usefulness variable, ease to use and ease to learn to user satisfaction variable.

关键词： Usability User Experience USE Questionnaire Website Information System

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Named-Entity Recognition for Indonesian Language using Bidirectional LSTM-CNNs

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Procedia computer science 2018年 135卷 425-432页

作者： William Gunawan Derwin Suhartono Fredy Purnomo Andrew Ongko Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

In this paper, we describe the implementation of Named-Entity Recognition (NER) for Indonesian Language by using various deep learning approaches, yet mainly focused on hybrid bidirectional LSTM (BLSTM) and convolutional neural network (CNN) architecture. There are already several developed NERs dedicated to specific languages such as English, Vietnamese, German, Hindi and many others. However, our research focuses on Indonesian language. Our Indonesian NER is managed to extract the information from articles into 4 different classes; they are Person, Organization, Location, and Event. We provide comprehensive comparison among all experiments by using deep learning approaches. Some discussions related to the results are presented at the end of this paper. Through several conducted experiments, Indonesian NER has successfully achieved a good performance.

关键词： Named-Entity Recognition deep learning natural language processing

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