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2nd International Conference on computer science and Computational Intelligence, ICCSCI 2017

作者： Yulianto, Budi Prabowo, Harjanto Kosala, Raymond Hapsara, Manik Computer Science Department School of Computer Science Bina Nusantara University Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Indonesia Computer Science Department Faculty of Computing and Media Bina Nusantara University Indonesia

ISBN: (纸本)9781510849914

IDE (Integrated Development Environment) that is needed by developers to write sourcecode for computer programming is also starting to shift from desktop to web platform. As implemented in the cloud, Web IDE (WIDE) can be accessed online through browsers and on mobile devices. WIDE takes many advantages and becomes popular in recently years. Unfortunately, there is no tool found yet in currently WIDE to support translating novice programmers' algorithm into programming language before they become experts in techniques of writing computer programs. This study goal is to design a tool to support novice programmers' early learning of programming before they step into coding, compiling, running, and debugging in WIDE. Software development method used in this study is Rational Unified Process (RUP). Conclusion of this study is block-code tool can help novice programmers to learn programming language in early phase, and motivate them better. © 2017 The Authors. Published by Elsevier B.V.

关键词： Software design

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Numerical analysis of general-vibration-based method for structural health monitoring

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AIP Conference Proceedings 2020年第1期2227卷

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita 1Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 2Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 3Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 4Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

For damage detection, this research article discusses an easy-to-compute damage index derived from the governing dynamic of the structure that has potential practical application in Structural Health Monitoring (SHM). The research uses simplified structural models to explore the sensitivity of the index to damages, to compare the index performance with a traditional but popular damage detection method, and to understand the local/global predictive capability of the index. The research uses two simple models, namely, single- and two-degree-of-freedom systems. The results suggest that the damage index is local, that can only monitor damages occurring near the points of measurements, but it is sensitive to damages, unlike the natural frequency, which is global but less sensitive.

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Trust and its impact towards continuance of use in government-to-business online service

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Transforming Government: People, Process and Policy 2018年第3-4期12卷 265-285页

作者： Pinem, Ave Adriana Immanuella, Ivonne Margi Hidayanto, Achmad Nizar Phusavat, Kongkiti Meyliana Faculty of Computer Science Universitas Indonesia Depok Indonesia Center for Advanced Studies in Industrial Technology Faculty of Engineering Kasetsart University Bangkok Thailand Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia

Purpose: This study aims to understand the antecedent of trust towards government-to-business (G2B) service in Indonesia. Trust will be viewed through four aspects, namely, cognition-based trust, personality-oriented trust, affect-based trust and experience–based trust. Then, these antecedents of trust were examined as the factors of continuance intention by extending the expected confirmation theory (ECT). Design/methodology/approach: Data were collected through a quantitative approach, and 389 respondents were involved in the study. The respondents are the investors who represent their organization which uses e-government service to report their investment activities to the Investment Coordinating Board of Indonesia. Data were analyzed using partial least square structural equation modelling approach with WarpPLS 4.0. Findings: The result shows that factors that determine a user’s trust in government online service are service quality, trust towards government entity, recommendation to use the service and user’s habit of using the service. Factors that do not determine a user’s trust in government online service is a disposition to trust. Another finding is that a user’s trust on an online service does not directly influence his/her continuance of use. Trust will impact the continuance of use through perceptions of benefits and perceived satisfaction of using the online service. Research limitations/implications: ECT is applicable in G2B process. Organizations have a perception of benefit while using a public e-service and confirm the perception through their experience while using an e-service to gain satisfaction, and this will encourage them to continue using the service. Practical implications: To improve organizations’ trust on the e-service, the government needs to improve the e-service quality (by evaluating the efficiency, privacy, user support, reliability and information quality), investor familiarity of the system (training or socialization), investor t

关键词： E-government Expectation confirmation theory G2B Government-to-business The continuance of use Trust

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Designing Face Recognition Teacher Wellbeing Application that Optimizes Teacher's Quality Work Life

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Journal of Physics: Conference Series 2020年第1期1641卷

作者： Unifah Rosyidi Sasmoko Yasinta Indrianti Sonya Rapinta Manalu Ramot Lubis Jurike Moniaga Abu Yazid Bin Abu Bakar Education Management Department Faculty of Education Universitas Negeri Jakarta Jakarta Indonesia 13220 Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Research Interest Group in Educational Technology Bina Nusantara University Jakarta Indonesia 11480 Entrepreneurship Department Podomoro University Jakarta Indonesia 11470 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Faculty of Education Universiti Kebangsaan Malaysia Malaysia

Meeting the demands of industry 4.0, teachers are required to improve the quality of their profession. Quality professions will not be achieved if the teacher does not have a quality person and at the same time prosperous. By utilizing technological developments, the teacher can monitor and diagnose the condition of the self wellbeing on an ongoing basis, so as to optimize the quality of work life. Teacher's Quality Work Life is very important for teachers themselves as educators, institutions and the nation and state. Quality work life can be a measure of teacher growth vertically and horizontally along with the growth of the institution. The encounter of Education, psychological trait with Artificial Intelligence is called Positive Education is the main objective of this research. One form is a self diagnostic that is able to diagnose psychological conditions to produce optimal quality. This research aims to create an application face recognition design through Neuroresearch and Waterfall research methods. The results of the study were designed to build the Face Recognition Teacher Wellbeing application.

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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 012018-012018页

作者： Kiefer, Stefano Ranti Salim, Kelvin Girsang, Abba Suganda 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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A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions

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Journal of Physics: Conference Series 2020年第3期1477卷

作者： Indra Ranggadara Yunita Sartika Sari Saruni Dwiasnati Ifan Prihandi Sfenrianto Computer Science Department Mercu Buana University Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enrich research in the area of machine learning by way of comparing various obstacles in implementation in similar research. So that in this study is to find similarities and anticipations made in the initial stages of pre-processing to visualisation, as well as the contribution that can give in this study explains the best alternative for researching following the experience of several researchers in conducting machine learning research.

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The accuracy of the F statistic for structural health monitoring

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AIP Conference Proceedings 2020年第1期2227卷

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita 1Industrial Engineering Department BINUS Graduate Program – Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 2Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 3Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 4Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Understanding the reliability of engineering methods is crucial for its adoption and deployment. This research focuses on the reliability of the Power Spectral Density (PSD) method via the use of the F statistic for damage detection. To the author best knowledge, the method is rather classic but its realibility has not been discussed in the context of a large data size. Priory, the research anticipates that the accuracy is a function of the damage level. In this study, we evaluate 3500 cases with five levels of structural integrity, namely, healthy condition and damaged conditions with 1%, 5%, 10%, and 20% damage levels. The dataset is established via a numerical analysis of a seven degree-of-freedom system loaded with a concentrated dynamic force with random magnitude. A spring on the system is reduced in its stiffness to simulate damages. Our significant findings are the following: it is challenging for the PSD-based method to differentiate the healthy condition from the damaged conditions when the damage level is small. However, the reliability is high at 95% probability when the structural integrity has dropped by five percent.

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Additive Bayes Spatio-temporal Model with INLA for West Java Rainfall Prediction

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Procedia computer science 2019年 157卷 414-419页

作者： Ro’fah Nur Rachmawati Anik Djuraidah Aji Hamim Wigena I Wayan Mangku Statistics Department Faculty of Mathematics and Natural Sciences IPB University (Bogor Agricultural University) Jawa Barat Indonesia 16680 Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Mathematics Department Faculty of Mathematics and Natural Sciences IPB University (Bogor Agricultural University) Jawa Barat Indonesia 16680

Currently in most cases, the inference of spatio-temporal modeling using Bayes regression still utilize MCMC simulations, which has an important issue in their limitation in computational burden. Involving big datasets, the complexity of Bayes spatio-temporal modeling could lead inefficient performance from Bayesian inference via MCMC. This paper aims to predict rainfall in observed and unobserved locations using Bayes spatio-temporal model with the inference of INLA, which has proven capable of providing fast and accurate results. The response variable is monthly rainfall from 57 locations in West Java Indonesia, observed from 1981 – 2017 and assumed to have normal distribution. Our spatio-temporal modeling based on additive framework, which can capture the spatial and temporal random effect as explanatory variables. The spatial random effects are a realization of Gaussian process with spatial dependency follow Matérn model, and the temporal random effects are assumed to have annually cyclic and follow random walk of order two. The model shows satisfying results: the spatio-temporal model able to predict rainfall even for unobserved locations using the spatio-temporal characteristics from nearly locations with the correlation between predicted and real data sets is about 0.7 – 0.8 for high to low quantile with RMSE is about 294 for high quantile.

关键词： INLA (Integrated nested Laplace approximation) Spatial point Spatio-temporal modeling West Java Rainfall Bayes regression

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Business Intelligence for Product Defect Analysis

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

作者： A S Girsang S M Isa A L Haris Arwan K Mandagie L R Ariana V Ardinda Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The problem of reporting service in *** is the complexity of the query to take the data from the table in oracle. There are many table to be processed for the data, because of that it's hard to show the report quickly. PT XYZ needs fast and reliable report to be shown, especially for control or audit. The suggested solution is to use data warehouse, because it has more structured storage and the data can be analysed by OLAP analysis that has the capability to show the data quickly. Data warehouse development was done through nine step that has been designed by Kimball and Ross. With this solution, PT XYZ has the capability to maintain quality of the product by monitoring the process and the data.

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Using DeLone and McLean model for evaluating an e-commerce website

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IOP Conference Series: Materials science and Engineering 2020年第1期725卷

作者： Mesra Betty Yel Sfenrianto Sfenrianto Raka Doni Anugrah Faculty of Computer Science STIKOM CKI Jakarta Indonesia Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

E-commerce in Indonesia has grown rapidly and provided many positive impacts especially on the field of online business. Through the developments, there are certainly many factors that must be carefully considered in all aspects to get the 'goal' as desired. So, when an e-commerce website has made changes whether we can conclude that the results worked so far or not. It can start by taking the existing factors that become the determinant of one of the successes in the e-commerce website. The study aims to evaluate factors become the success of an e-commerce (***). Using the McLean and Delone success model approach that has 5 factors, namely: system quality, information quality, use, user satisfaction and net benefit. The result shows system quality, user satisfaction, and net benefits influence to use factor. net benefit influence to use. Quality of information influence to user satisfaction *** user satisfaction influence on net benefit factor. Thus, be expected, the model can be used as reference in related evaluating an e-commerce website.

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