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International Conference on Cyber and IT Service Management (CITSM)

作者： Emil Robert Kaburuan Ang Swat Lin Lindawati Surjandy Siswantini Muhammad Ryanda Putra Ditdit Nugeraha Utama BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Faculty of Economics and Communication Bina Nusantara University Jakarta Indonesia School of Information Systems Bina Nusantara University Jakarta Indonesia UIN Syarif Hidayatullah Jakarta Indonesia BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

Text mining is a process to extract data based on text. The source of text mining should be coming from social media users' activities; e.g. posting, fans page, group, hashtag, tweet, etc. As raw data and information, the text mining sources are able to be gold information to be operated for academic analyzing purposes. This paper proposes the Python-based model to scrape text from Twitter user's tweets and then analyze them to see the commerce and tax-income potency in purposely Indonesia. The mathematical and statistical methods are technically operated. The constructed model finally exhibited. Also, the information on sale-behavior and tax-income forecasts are able to be portrayed.

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Interface Rotation in Cu/Nb Accumulative Roll Bonded (ARB) Nanolaminates

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SSRN 2022年

作者： Radchenko, Ihor Zhu, Wenxin Qing, Liu Navarro, Etienne Sahay, Rahul Lee, Pooi See Raghavan, Nagarajan Thomas, Olivier Budiman, Arief Suriadi Chen, Kai State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong University Xi’an China School of Materials Science and Engineering Nanyang Technological University Singapore639798 Singapore Nanyang Technological University Temasek Laboratories@NTU 637553 Singapore Aix Marseille Université Université de Toulon CNRS IM2NP Marseille France Xtreme Mechanics Lab 8 Somapah Road Singapore487372 Singapore Singapore487372 Singapore Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States Industrial Engineering Department BINUS Graduate Program—Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia

Metal-metal nanolaminates made by accumulative roll bonding (ARB) is a developing new class of structural nanocomposites that possesses high strength, good ductility, and can also be produced in bulk. These nanolaminates exhibit strong crystallographic textures and mechanical anisotropy. Yet, their mechanical properties are often measured only along rolling direction (RD). Using in situ pillar compression, we show that in-plane shear deformation mechanism in Cu(63 nm)/Nb(63 nm) ARB nanolaminate strongly depends on the shear direction. Plastic shear along the RD abruptly changes into crystallographic rotation and later into interface shear as the shear direction deviates away from the RD. The observed shear mechanisms are driven by competition between different slip systems in Cu layers and at the interface. We expect similar deformation anisotropy to happen in other ARB nanolaminates with sharp texture and interface orientation. Comprehensive characterization of such nanolaminates may require considering more than just the usual rolling/transverse/normal direction anisotropy. © 2022, The Authors. All rights reserved.

关键词： Anisotropy

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Fuzzy Decision Support Model for Human Resources Performance Appraisal 3

Fuzzy Decision Support Model for Human Resources Performance...

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

作者： Utama, Ditdit Nugeraha Rustamaji, Eri Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia Information System Department Syarif Hidayatullah State Islamic University Jakart Indonesia

ISBN: (纸本)9781538658215

Human resources (HRs) performance appraisal is one of several parts of HRs planning. It plays the imperative role to encourage HRs to have a good spirit and become correctly loyal to institution. The major objective of research is to propose a constructed decision support model (DSM) for appraising the HRs performance. The methods object oriented, fuzzy logic, hill climbing, and survey are benefitted to be main methods of this study which respectively are used to analyze and design the constructed model, justify and analyze data values, optimize the suggested decision, and collect data. By scientifically taking into account four selected fundamental performance parameters (i.e. education, teaching capability, research, and community service), the study was conducted;where, the measurement of performance bonus for university lecturer is chosen as a research object. Specifically for collecting data, 35 university lecturers were occupied to estimate the significance level of parameters. The lecturers are coming from two faculties of UIN Syarif Hidayatullah (Jakarta, Indonesia);i.e. faculties of science and technology and communication. At last, the model is practically going to assist the decision makers to fairly assess HRs performance;and the study showed a simulation result of assessment based on forty empirical data of university lecturer. © 2018 IEEE.

关键词： Fuzzy logic

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Static Taint Analysis Traversal with Object Oriented Component for Web File Injection Vulnerability Pattern Detection 3

Static Taint Analysis Traversal with Object Oriented Compone...

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

作者： Kurniawan, Aditya Abbas, Bahtiar Saleh Trisetyarso, Agung Isa, Sani Muhammad 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 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta11480 Indonesia

We introduce a composition of object-oriented component PHP grammar for taint analysis. Our novel method successfully restructured the PHP parser and reduced grammar artifact objects that must be visited in a taint analysis process by up to 52% grammar variation. Taint analysis is an analysis that detects any injection vulnerability pattern in source code. The analysis identifies the information flow of untrustworthy input that affects the sensitive sink or part of the system. The static taint analysis was run on an abstract syntax tree and traversed all nodes. A static taint analysis uses a parser to traverse abstract syntax trees of the source code. A web PHP parser has 140 grammar combinations in an abstract syntax tree, which has to be traversed to recognize the tainted flow pattern. Additionally, there are many variations of syntax and coding styles for tainted flow patterns. Therefore, the amount of combinations will consume many computation resources. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Syntactics

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Research Opportunities for E-health Applications with DNA Sequence Data using Blockchain Technology

Research Opportunities for E-health Applications with DNA Se...

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IEEE International Conference on Software Architecture Workshops (ICSAW)

作者： Maurício Moreira Neto Carlos Sérgio da S.Marinho Emanuel F. Coutinho Leonardo O. Moreira Javam de C. Machado José Neuman de Souza Master and Doctorate in Computer Science (MDCC) Federal University of Ceará (UFC) Fortaleza Ceará Brazil Graduate Program in Computer Science (PCOMP) Federal University of Ceará (UFC) Quixadá Ceará Brazil Virtual University Institute (UFC VIRTUAL) Federal University of Ceará (UFC) Fortaleza Ceará Brazil

ISBN: (数字)9781728174150

ISBN: (纸本)9781728174167

E-health applications are health-related computing solutions that use the internet to provide services to users. One of the main challenges of E-health applications is the data privacy and security of patients. E-health application need should provide security and privacy mechanisms due to sensitive user data such as medical exams, DNA sequences, and others. Blockchain technology has become a research focus on several sectors that require their inherent characteristics, especially, about the security and privacy of data. This paper aims to present research opportunities with the use of Blockchain technology in applications that manipulate DNA sequence data. For this purpose, we propose an architecture for general E-health applications with Blockchain and implement a Proof of Concept (POC) to analyze the use of Blockchain technology in E-health applications using DNA sequence data. We also listed a set of research opportunities that permeate this topic.

关键词： DNA Genomics Bioinformatics Peer-to-peer computing Data privacy

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Mobile Application Development to Mitigate the Risk of Earthquake

Mobile Application Development to Mitigate the Risk of Earth...

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2019 IEEE International Conference on Engineering, Technology and Education, TALE 2019

作者： Yuwono, Adeliana Chrysler, Audrey Puteri, Triladias Warnars, Harco Leslie Hendric Spits Adnandi, Muhammad Arba Maulana, Ihsan Sasmoko Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Muhammadiyah University of Tangerang Faculty of Tourism and Creative Industries Tangerang15118 Indonesia Faculty of Humanities Bina Nusantara University Primary Teacher Education Department Jakarta11480 Indonesia

ISBN: (纸本)9781728126654

Indonesia is prone to natural disasters such as an earthquake. Many people are clueless regarding what to do when an earthquake occurs. An earthquake has caused a more devastating outcome due to it being able to lead to other hazards. The idea of developing a mobile application surfaced by reading and receiving inspiration from the previous research. Previous research has been implementing different kinds of ways to alert people regarding the upcoming earthquake. The development of a mobile application to provide a platform that will assist people with information on what to do in times of before, during, and after the earthquake. Therefore, people will have a source that they can turn to when seeking information about the steps to be done when an earthquake occurs. Besides, providing information apropos to earthquakes, the mobile application will send further alerts to the people that are in that specific area. Moreover, people will be able to be aware of the particular areas that they are in. The alerts sent will give information to the people so that they could evacuate to safety as soon as possible before the upcoming earthquake occurs. © 2019 IEEE.

关键词： Earthquakes

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Feasibility study of Information Technology Investment (a case study of ODOO ERP: Project Management Module Implementation in Indonesia Based Company)

Feasibility study of Information Technology Investment (a ca...

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International Conference on ICT For Smart Society (ICISS)

作者： Fredy Jingga Raymond Kosala Suhono Harso Supangkat Benny Ranti Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to determine feasibility of implementation open source ERP system Odoo project management module that replaces current system based on operational, economic, and technical aspects. The method used are Fit / Gap Analysis and Cost Benefit model using economic impact worksheet. The analysis is done by comparing the requirement with features owned by current system and Odoo ERP system. This research resulted that Odoo ERP System is feasible in the 3 aspects, the operational feasibility Odoo reaching 72% Fit, the economic feasibility with ROI of 84%, and technical feasibility indicating the technical requirement can be fulfilled by leasing AWS server. The conclusion is the open source ERP system Odoo project management module is feasible to be applied in terms of 3 aspects that have been studied, those are operational, economic, and technical.

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Face Recognition Using Modified OpenFace

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Procedia computer science 2018年 135卷 510-517页

作者： Kevin Santoso Gede Putra Kusuma Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Face recognition is a widely utilized biometric method due to its natural and non-intrusive approach. Recently, deep learning networks using Triplet Loss have become a common framework for person identification and verification. In this paper, we present a new method on how to select appropriate hard-negatives for training using Triplet Loss. We show that, by incorporating pairs which would otherwise have been discarded yields better accuracy and performance. We also applied Adaptive Moment Estimation algorithm to mitigate the risk of early convergence due to the additional hard-negative pairs. In LFW verification benchmark, we managed to achieve an accuracy of 0.955 and AUC of 0.989 as opposed to 0.929 and 0.973 in the original OpenFace.

关键词： Face Recognition Deep Learning Triplet Loss Adam Algorithm OpenFace

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Business Intelligence Model to Analyze Social Media Information

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Procedia computer science 2018年 135卷 5-14页

作者： Parama Fadli Kurnia Suharjito Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Social media is a platform to share information that is very liked by everyone nowadays because some of the facilities that make it easier for us to communicate with each other, share documents, chat and even create a community. In addition, we can also analyze the content of social media by using several methods in data mining, so that we can get new the information to support decision making that can bring benefits to individuals and companies. The purpose of this research, to create a business intelligence dashboard to observe the performance of each Topic or channel of news posted to social media accounts such as Facebook and Twitter. Topical performance in social media is the number of Topics in articles posted to social media getting like, share, comment etc. To be able to know the Topic of a news post in social media, used some text classification techniques such as Naive Bayes, SVM and Decision Tree. The comparative results of the algorithms are taken which has the best accuracy of SVM for subsequent implementation in the data warehouse. Meanwhile, the business intelligence dashboard data source will be sourced from the data warehouses that have been made before.

关键词： Social Media Naive Bayes SVM Decision Tree Business Intelligence

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Application of factor analysis method to support the users acceptance model of ERP systems implementation

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Journal of Physics: Conference Series 2021年第1期1836卷

作者： W Sardjono J Sudirwan W Priatna G R Putra Information Systems Management Department BINUS Graduate Program -Master of Information Systems Management Bina Nusantara University Jakarta Indonesia – 11480 School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Informatics Engineering Engineering Bhayangkara University Jakarta Raya Indonesia Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage.

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