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Optimization Sentiments of Analysis from Tweets in myXLCare using Naïve Bayes Algorithm and Synthetic Minority Over Sampling Technique Method

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

作者： Dedi Dwi Saputra Windu Gata Nia Kusuma Wardhani Ketut Sakho Parthama Hendra Setiawan Sularso Budilaksono Dimas Yogatama Agus Hadiyatna Endah Putri Purnamasari Bryan Pratama Deny Novianti Master of Computer Science-Postgraduate Program Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri Jakarta Indonesia Graduate School Master's Degree Computer Science Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri Jakarta Indonesia Master Faculty of Computer Science-Postgraduate Program University of Mercubuana Jakarta Indonesia Graduate School Master's Degree Computer Science University Paramita Indonesia Jakarta Indonesia Graduate School Master's Degree Computer Science STMIK Bani Saleh Jakarta Indonesia Graduate School Master's Degree Computer Science University of Persada Indonesia YAI Jakarta Indonesia Graduate School Master's Degree Computer Science University of Gadjah Mada Jakarta Indonesia

Text mining can be used to classify opinions about complaints or not complaints experienced by XL customers. This study aims to find and compare classifications in the sentiments of analysis from the view of XL customers. This dataset was derived from tweets of XL customers written on myXLCare Twitter account. In text mining techniques, 'transform case', 'tokenize', 'token filters by length', 'n-gram', 'stemming' were used to build classification and sentiments of analysis. Gataframework tools were used to help during preprocessing and cleansing processes. RapidMiner is used to help create the sentiment of analysis to search and compare two different classifications methods between datasets using the Naïve Bayes algorithm only and Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE). The results of the two methods in this study found that the highest results were using the Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE) with an accuracy of 86.33%, precision 82.85%, and recall ratio 92.38%.

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Evaluation of the used of visual electronic banking system application using UTAUT 2 in Bank Central Asia corporation 2

Evaluation of the used of visual electronic banking system a...

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2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Fajar, Ahmad Nurul Johanes, Frits Septian Girsang, Abba Suganda Wang, Gunawan Information Systems Management Department BINUS Graduate Program-Master of Information System Management Bina Nusantara University Jakarta Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information System Management Bina Nusantara University Jakarta Indonesia Infor. Systems Management Department BINUS Graduate Program-Master of Information System Management Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

The purpose of this study is to determine the factors that encourage the use of visual electronic banking system (VEBS) application in Bank Central Asia Corporation, and provide an idea to increase the use of VEBS. This study using UTAUT 2 model approach. The primary data obtained from interviews, direct observation and questionnaires that distributed and processed using SEM-PLS. The results of this study provide qualitative calculation results of UTAUT 2 variable. The conclusion obtained that interest of the use of application VEBS affected by variables facilitating condition, performance expectancy and behavioral intention. From these conclusions this study provided an idea to the future development of application's features for more effective and efficient use. © Published under licence by IOP Publishing Ltd.

关键词： Surveys

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Prevention Structured Query Language Injection Using Regular Expression and Escape String 3

Prevention Structured Query Language Injection Using Regular...

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

作者： Soewito, Benfano Gunawan, Fergyanto E. Hirzi Frumentius Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Investment Coordinating Board of the Republic of Indonesia Jakarta12190 Indonesia

Information technology enables for new way of commerce, which is a commerce activities through online media (e-commerce). Security becomes an important issue in online-system, because such system is accessible by anyone through the global network -internet. Security in terms of confidentiality, integrity, and availability becomes goals that must be achieved by any system generally, and commerce system especially, because this kind of system contains many sensitive data like customer data and transaction data. SQL Injection is a vulnerability and threat, with the most occurrence in a web based system. In this research we evaluate and analyze source code against SQL injection, and we use regular expression and escape string to prevent the SQL injection. The results of this study are findings of system vulnerability against SQL injection, which are proven by the ability to get data from database, with SQL injection techniques. System vulnerabilities were analyzed, in order to design and implement the solution for it. The solutions then tested, to validate that it has proven effectively fix the vulnerabilities, and can prevent the exploitation by SQL injection. In the end, the conclusion is that initially the system is vulnerable against SQL injection, but then the solution that being implemented has proven effectively fix the issue. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Sensitive data

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Transfer Learning from Chest X-Ray Pre-trained Convolutional Neural Network for Learning Mammogram Data 3

Transfer Learning from Chest X-Ray Pre-trained Convolutional...

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

作者： Pardamean, Bens Cenggoro, Tjeng Wawan Rahutomo, Reza Budiarto, Arif Karuppiah, Ettikan Kandasamy Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia NVIDIA Corporation United States

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. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Deep learning

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Crowdsourcing annotation system of object counting dataset for deep learning algorithm 2

Crowdsourcing annotation system of object counting dataset f...

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2nd International Conference on Eco Engineering Development 2018, ICEED 2018

作者： Cenggoro, Tjeng Wawan Tanzil, Fidelson Aslamiah, Ayu Hidayah Karuppiah, Ettikan Kandasamy Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia NVIDIA Corporation Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia

Deep Learning is currently the state-of-the-art technique for various computer Vision tasks, including object counting. Despite of its high performance, Deep Learning requires a gigantic amount of training data to show its best result. Getting this massive data in reasonable time requires a proper strategy such as crowdsourcing. However, in case of object counting, we found no crowdsourcing system able to effectively collect necessary data. To tackle this problem, we develop a crowdsourcing system to annotate image for object counting dataset. This system is also equipped with validation system to ensure the quality of collected dataset. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Crowdsourcing

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Review Study of Business Intelligence to Support Strategic Decision Making

Review Study of Business Intelligence to Support Strategic D...

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International Conference on Electrical Engineering and Informatics, ICEEI

作者： Astari Retnowardhani Wahyu Sardjono Yaya Sudarya Triana BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Universitas Mercu Buana Jakarta Indonesia

In this era the business competition between regions and countries will be more stringent. One way to survive and improve its performance is through the management of information, it is necessary to be able to see and assess the company from a variety of perspectives. One of the keys to surviving and playing a role is to manage complete, fast and precise information. Data analysis will be easy if the required data is available. Business intelligence techniques (BI) can be used to assist in the decision-making process. Many organization and educational institution have implemented BI as the support system. Therefore, we make a comparison study about BI research finding from several articles. From the comparison study it can be seen the research in the BI field is continues to grow and also following the technology trend. This can be seen from the topics discussed in the journal articles in the period 2010-2017. This study is conducted to see the spread and trend of business intelligence research in various forms of organization. Also can be seen the advantages of BI in the decision-making process.

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Fuzzy ecoDSS Development for Road Traffic Engineering 3

Fuzzy ecoDSS Development for Road Traffic Engineering

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

作者： Nurlatifani, Sofie Retnowardhani, Astari Utama, Ditdit Nugeraha UIN Syarif Hidayatullah Information System Jakarta Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program - Master of Information Systems Management Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program - Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

A road traffic engineering (RTE) is realistically required to reduce the road traffic congestion (RTC) degree. The congestion negatively affects not only to economy and physiology factors, but also for human environment and health. This paper methodologically represents the development of ecological decision support system based on the concept of fuzzy logic (Fuzzy ecoDSS) for RTE. Three types of core method operated here;fuzzy logic, water flow algorithm (WFA), and object oriented. The method fuzzy logic used to avoid the fuzziness in parameterizing and prioritize the parameters. The WFA approach functioned to replicate the flow of road traffic and optimize it thru RTE. Finally, the method object oriented benefited to analyze and design the constructed system. Thus, the simulation result exhibits the best decision alternative taken gives better air condition (more 200% than normal condition) and better road traffic velocity (more 2,200% than normal situation). © 2018 IEEE.

关键词： Decision support systems

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Alert and Response of Earthquake and Tsunami for Community Based Disaster Risk Reduction

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Journal of Physics: Conference Series 2021年第1期1811卷

作者： Rr M I Retno Susilorini Andre Kurniawan Pamudji Ridwan Sanjaya Amrizarois Ismail Ardhito Hayyu Amasto Department of Infrastructure and Environmental Engineering Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Master Program of Environmental and Urban Studies Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Department of Information System Faculty of Computer Science Soegijapranata Catholic University Semarang

Indonesia had been suffered by earthquake and tsunami for many centuries. Since many lives have taken by tsunami strikes, alert and response system are very important as important part of Disaster Risk Reduction, especially in area with high population density. This research conducted in Kangkung fishing village in Bandar Lampung coastal area which is an earthquake and tsunami prone area. The aim of the research is to study alert and response of Community Based Disaster Risk Reduction. The research conducted by qualitative method and purposive-descriptive approach. There were 53 respondents which participated in the survey and interview. It is reported that 'Smart Resilient City' model suitable for community needs of alert and response of earthquake and tsunami disaster. This research meets conclusion that 'Smart Resilient City' model may become a great solution in Community Based Disaster Risk Reduction to cope with the hazard of earthquake and tsunami comprehensively and sustainably.

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Improvement of Jakarta's air quality during large scale social restriction

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： R Rahutomo K Purwandari J W C Sigalingging B Pardamean Information System Department School of Information Systems Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480 Database Center Division of BMKG Meteorological Climatological and Geophysical Agency Jakarta Indonesia 10720 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480

After Large-Scale Social Restriction (PSBB) established in Jakarta, a change of air quality was indicated by the citizens. Representatives of Indonesia's Agency for Meteorology, Climatology, and Geophysics (BMKG) supported as the fact that mobility of Jakarta's citizen and commuters were reduced. With utilizing Weather Data Acquisition System managed by BMKG, this research compared fluctuations of Jakarta's air quality during two periods of time: Pre-PSBB and During-PSBB. This study proved that Jakarta's air quality has positively improved compared to the previous year, although in the lower range of unhealthy level.

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Implementation helpdesk system using information technology infrastructure library framework on software company 2

Implementation helpdesk system using information technology ...

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2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Girsang, Abba Suganda Kuncoro, Yohan Saragih, Melva Hermayanty Fajar, Ahmad Nurul Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

As a company which relates its customer service, a software company (this case is PT Boon Software) is induced to give the good service to its customer. The existing information technology (IT) system service is made by patchwork. It brings some problems in service catalog, problem managment, change management, and service level agreement (SLA). The purpose of this research is to implement helpdesk system to software company with Information Technology Infrastructure Library (ITIL) framework as a standard reference to solve various problem related information technology service on a company. This research starts by investigation all stakeholders of the company with some questionnares. Implementation ITIL is strated by finding the gap between the current condition and the standard base line in ITIL. After implementation IT service using ITIL, the stakeholders are asked the same questionnares. The result shows that there is significant different before and after implementing system service using ITIL. © Published under licence by IOP Publishing Ltd.

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