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Data Center-Disaster Recovery Center (DC-DRC) for High Availability IT Service 3

Data Center-Disaster Recovery Center (DC-DRC) for High Avail...

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

作者： Dhanujati, Narendra Girsang, Abba Suganda Computer Science Department Bina Nusantara University Jakarta BINUS Graduate Program-Master of Computer Science 11480 Indonesia

ISBN: (纸本)9781538658215

Currently, the companies are required to have conducting business activities and continue constantly in touch with its customers to provide IT service availability continuously. The systems must be available at all times with an ever-on-The-job system, requiring a high availability system to keep the service operable 24×7×365. This issue brings the disaster recovery plan (DRP) becomes an important issue for the data and IT infrastructure. This is a very potential risk because the data will be constantly threatened by disturbance such as viruses, hackers or disasters such as natural disasters. This paper explains the concept rather than disaster recovery service planning and database replication. This study covers the evaluation, planning, implementation and testing of the disaster recovery solution. © 2018 IEEE.

关键词： Recovery

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Recommendation System Journalist for Getting Top News Based on Twitter Data

Recommendation System Journalist for Getting Top News Based ...

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2019 International Conference of science and Information Technology in Smart Administration, ICSINTeSA 2019

作者： Girsang, Abba Suganda Isa, Sani Muhamad Harvy, Ikrar Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

One application that can be utilized in finding the latest news is by utilizing the development of information and communication technology such as seeing the delivery of public information through social media such as twitter. This study implements the system which is able to get the trending or top news based on twitter data. This information will connect to the journalist via mobile application. It helps journalists to get the potential news to be reported in their media. The application will group each tweets into various themes based on the cosine similarity. The tweets which are more the certain threshold, can be indicated as the top news. The top news is then classified into one category news by using SVM algorithm. The training data becomes from the source data of one media news. The specific topic of this result will ease to order the journalist cover this top news. The system can be implemented well. © Published under licence by IOP Publishing Ltd.

关键词： Social networking (online)

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Hybrid Database System of MySQL and MongoDB in Web Application Development 3

Hybrid Database System of MySQL and MongoDB in Web Applicati...

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

作者： Ongo, Gregorius Kusuma, Gede Putra Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

The increasing amount of data that need to be processed in a company are affecting the performances of the database system. Relational Database Management System (RDBMS) is a commonly used database system, but also known to having a decreased performance when handling high amount of data. N oSQL is an alternative storage option that is different than RDBMS and known for faster performance when handling high amount of data. In this contribution, we compare the performances between RDBMS MySQL and a hybrid model of MySQL and NoSQL MongoDB when being used on a web application. We implemented a simple social media website to evaluate the performance of using different database models. The website is equipped with chat and profile view features. Experiments are performed using randomly generated user profiles and chat data. Based on our evaluations, the hybrid database of MySQL and MongoDB achieves higher read and write performances than the MySQL alone. Meanwhile MySQL can handle more sensitive data and maintaining data consistency. The hybrid model database MySQL and MongoDB uses less disk space than MySQL alone, but uses more RAM. We also observed that there is not much difference in CPU usage for both database models. © 2018 IEEE.

关键词： Sensitive data

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Fingermath - Arithmetic Hand Gesture Game to Improve Early Childhood Mathematics Learning 4

Fingermath - Arithmetic Hand Gesture Game to Improve Early C...

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4th International Conference on Information Management and Technology, ICIMTech 2019

作者： Yuliana, Dewi Suharjito Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728133331

Teaching mathematics has received priority in schools, because mathematics is the basis for development in understanding mathematics as a whole at school. computer technology used in teaching and learning can help improve children's preferences and abilities to learn mathematics in class, and can change attitudes of early childhood who are more critical, creative, and innovative. Jarimagic method is one method for learning to count on the fingers, where early childhood often communicate with fingers in learning mathematics in the classroom. For this reason, research attempts learning methods with interactive games with hand movements using the Jarimajic method and tools scratch 2.0. In this study, evaluation of data obtained through 20 child respondents was carried out by testing before using the game and after using the game, using Pre-Test and Post-Test analysis, which was divided into 2 results based on the preferences and abilities of early childhood learning mathematics in the classroom. From the study, the game development was carried out using the System Development Life Cycle (SDLC) method by taking the model of implementation the waterfall model. then a game is designed to overcome this problem. After the game is made, the game will be tested again for early childhood, with T-Test statistical analysis as the final data obtained from research that shows whether early childhood likes and increases ability to learn mathematics after the game is implemented. The results of this study are the realization of interactive game-based learning methods for early childhood in learning to count mathematics. especially in learning additions and collection using the jarimajic method so that children have the ability and preference in learning mathematics. © 2019 IEEE.

关键词： Learning systems

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The Fuzzy-AHP Decision Model for Managing Smart City: An Object-Oriented Model for Bibliometric Based Literature Review 11

The Fuzzy-AHP Decision Model for Managing Smart City: An Obj...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Utama, Ditdit Nugeraha Bina Nusantara University Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350389654

Operating a smart city is intricate and requires comprehensive management. Implementing a decision model is one effective and efficient method to address this complexity. This study seeks to systematically review articles to see the trends in the utilization of fuzzy logic methods and their combinations, particularly in a decision model that supports smart city operations. Through four stages, the study not only presents the bibliometric-based review findings to address specific inquiries but also produces an object-oriented model for review purposes. Based on 131 articles, the research trend indicates a linear growth in studies focusing on smart cities and decision models, with a particular emphasis on incorporating fuzzy logic models. Additionally, according to 9 deep-reviewed articles, the analytic hierarchy process (AHP) emerges as a popular method often combined with the fuzzy logic method. As well, the object-oriented model for review purposes is developed with 19 interrelated objects. It is the main contribution of the study. © 2024 IEEE.

关键词： Smart city

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A low-power scenario for IOT-based indoor air quality monitoring system at workplace 2

A low-power scenario for IOT-based indoor air quality monito...

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

作者： Panghurian, Fepri P. Surantha, Nico Zahra, Amalia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

This paper presents the development air quality monitoring system for indoor workplace that send measurement CO, CO2, PM2.5, temperature and humidity and send it via IEEE 802.11 b/g wireless communication. The problem is many sensor node for indoor air quality should not always send data to server in normal situation. It could spend power consumption and the data would send it periodically. Although the data send periodically, the sensor must handle emergency situation like fire. The results show that with controlled transmission interval not only spend power consumption but the device also good respond in emergency situation and user could monitor air quality remotely via web application. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Carbon dioxide

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Object Driven Fuzzy Decision Model for Evaluating the Cryptocurrency's Performance 11

Object Driven Fuzzy Decision Model for Evaluating the Crypto...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Utama, Ditdit Nugeraha Binus Graduate Program - Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350389654

The assessment of cryptocurrency performance has been subject to criticism due to the lack of a standardized approach, leaving the evaluation process without clear guidance. In this research, an innovative object-driven decision model based on fuzzy logic (OFDM) conception was developed to systematically analyze cryptocurrency performance. Object-oriented operated as the main method in analyzing and designing the model. In this context, the model elements deeply observed and functioned to become fundamental thinking for constructing the model. Then, fuzzy logic with curve membership function form was also used as the primary method to avoid the bias value of three key parameters;trend line (and then used to see the slope distance), price consistency, and transaction volume consistency. The constructed model is a novel decision model that was successfully constructed for assessing the determined cryptocurrency performance. Utilizing six months of real data from three major cryptocurrencies (Bitcoin, Ethereum, and Dogecoin), the model conclusively demonstrates that Bitcoin exhibits the strongest performance, scoring 36.39 performance points. © 2024 IEEE.

关键词： Fuzzy logic

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Easy Data Augmentation for Handling Imbalanced Data in Fake News Detection 1

Easy Data Augmentation for Handling Imbalanced Data in Fake ...

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1st International Conference on Technology, Engineering, and Computing Applications, ICTECA 2023

作者： Pradana, Rilo Chandra Joddy, Setiawan Girsang, Abba Suganda Binus Graduate Program-Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350360554

Detecting fake news in the digital era is challenging due to the proliferation of misinformation. One of the crucial is-sues in this domain is the inherent class imbalance, where genuine news articles significantly outnumber fake ones. This imbalance severely hampers the performance of machine and deep learning models in accurately identifying fake news. Consequently, there is a compelling need to address this problem effectively. In this study, we delve into fake news detection and tackle the critical issue of imbalanced data. We investigate the application of Easy Data Augmentation (EDA) techniques, including back-translation, random insertion, random deletion, and random swap to mitigate the adverse effects of imbalanced data. This study focuses on employing these techniques in conjunction with a deep learning framework, specifically a Bidirectional Long Short-Term Memory (BiLSTM) architecture. The results of the EDA techniques will be systematically compared to see their effectiveness and their impacts on model performance. This study reveals that various EDA techniques, when coupled with a BiLSTM architecture, yield significant improvements in fake news detection. Among the experiments, it shows that Random Insertion, with an impressive accuracy rate of 81.68%, a precision score of 89.38%, and an F1-Score of 87.77% emerges as the most promising technique. The study also highlights the exceptional potential of Back-translation stands out with an 87.16% recall performance. © 2023 IEEE.

关键词： Long short-term memory

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A review of traffic violation detection technology in reporting mechanism 2

A review of traffic violation detection technology in report...

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2nd International Conference on Biospheric Harmony Advanced Research, ICOBAR 2020

作者： Alaydrusl, A. Putra, W.K. Nugroho, Y. Muhammad Surantha, N. Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Traffic Violation Detection system using radio frequency identification (RFID) has been applied to detect vehicles with limited power sources through RFID Tag. Camera sensors are also applied to identify a vehicle and its plate number through image and video processing known as computer vision. On the other hand, vehicular ad hoc network (VANET) to gain information about location, speed, and so on through the vehicle-to-vehicle (V2V) connection. Lastly, the internet-of-things that is backed-up by cloud computing helps to store various information from each of these technologies and process them to get results. Many researchers have proposed and developed algorithms or technology with astonishing experimental results of them. However, there has been no review of the integration and reporting mechanism that correlates them. There has also been no review about how to connect the information to the authority and violator. Therefore, the review was made to explain each technology's method with their experiment's results and issues. Moreover, the future challenge also had been given to further research. © Published under licence by IOP Publishing Ltd.

关键词： Vehicles

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The Floating Fuzzy Logic based Evaluation Model for Appraising the Student Performance 6

The Floating Fuzzy Logic based Evaluation Model for Appraisi...

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6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022

作者： Utama, Ditdit Nugeraha Bina Nusantara University Computer Science Department BINUS Graduate Program - Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9798350399615

Membership function (MF) in process of fuzzy logic is very meaningful. It depicts the core of model. It can be adopted from the expert judgment and also coming from the configuration of data behavior. The study is an experimental research by analyzing time-series data behavior in developing the MF by using the programming language Python. The MF academically produced called as floating MF (FMF). Such a FMF operated to realize the fuzzy logic conception in an evaluation model. The constructed model is a model in simply measuring the student's performance. By using the ten series-data of student's grade point average (GPA) and absence per annual (APS) values, the model can simulate the moving students' performance per semester. When compared to the conventional FL based model, the proposed model has a similarity average 85%. © 2022 IEEE.

关键词： evaluation model floating fuzzy logic moving performance value student performance

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