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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...

引用

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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Health Assistant Wearable-Based Data science System Model: A Pilot Study 3

Health Assistant Wearable-Based Data Science System Model: A...

引用

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

作者： Budiarto, Arif Febriana, Trisna Suparyanto, Teddy Caraka, Rezzy Eko Pardamean, Bens Computer Science Department Bina Nusantara University School of Computer Science Jakarta11480 Indonesia Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Indonesia Faculty of Science National University of Malaysia School of Mathematical Science Bangi43000 Malaysia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

The rapid development of Information and Communication Technology (ICT) has an impact on the innovation of new technology that gives benefits for health. One of its latest development is wearable device technology. Nowadays, the growth of this technology market is very positive. But unfortunately the growth of this technology is not followed by the availability of supporting applications that provide maximum benefits for users by utilizing personal health and activity data. This paper is intended to provide a report of our initial research in developing a health assistant solution that utilizes wearable device generated data. The whole research process is executed using Design Thinking approach that put the users as the main consideration. This initial research is started by designing a field research that can potentially gathered users' data generated from wearable device. A series of statistical and machine learning techniques are presented to analyze time series data to create a model. Finally, to implement the model, a mobile application prototype is also proposed. The outcomes from this initial research will be used to develop a fully working solution. © 2018 IEEE.

关键词： Learning systems

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Big Data Security Approach in Cloud: Review 3

Big Data Security Approach in Cloud: Review

引用

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

作者： Damayanti, Finka Ria Elmizan, Kemal Anshari Alfredo, Yoel Frans Agam, Zidni Nurrobi Wibowo, Antoni Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

In big data era, data may be in the form of structured, unstructured and semi-structured. They become an asset for companies that contain important insights and support in decision-making processes. Big data is one of technologies that used by many organizations for managing store data and data analysis. Therefore, storage management is one of important processes in big data management to ensure that data are stored correctly, safely and easily to be accessed. Despite having many advantages, big data technology still has several issues on storage management, especially if we relate between big data and cloud computing, such as data security which is very important. In this paper, we reviewed the previous works for data security in storage management in big data technology and provide a suggestion to answer the challenge of data security. © 2018 IEEE.

关键词： Big data

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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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Web-Based Evaluation System Using Kirkpatrick Model for High school Education (A Case Study for Vocational High school in Jakarta) 3

Web-Based Evaluation System Using Kirkpatrick Model for High...

引用

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

作者： Fadhilah, Muchammad Kukuh Surantha, Nico Isa, Sani M. Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Evaluation is the best way to refine a service quality. Quality of service will have an effect on the accomplishment of an organization's aim. Suitable and precise evaluation model will help the vocational high school in arranging a master plan to enhance the quality of education services provided. Kirkpatrick's model became the fundamental framework in this case study. This model was usually utilized to evaluate the impact of corporate training to the development of staff and also the impact to organization performance. In this paper, we perform case study for one of the vocational high school in Jakarta. There is a concern from the school about how to conduct evaluation of the teaching activity, students performance, and institution performance. In this paper, we propose a web-based e-learning system using Kirkpatrick evaluation model to solve this problem. We built the e-learning application using codeigniter framework. From the result, it can be seen that the developed system can provide platform for the school to evaluate the quality of teaching activity based on the students feedback, evaluate the performance of students after attending class, and also evaluate how the trend of institution performance year by year. © 2018 IEEE.

关键词： Students

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OLAP Analysis of Water Formation Data 3

OLAP Analysis of Water Formation Data

引用

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

作者： Soewito, Benfano Isa, Sani Muhamad Gunawan, Fergyanto E. Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

In the oil and gas industry, the available data regarding each well are very huge. With data and parameters are very numerous and complex, it is very difficult to analyze and process the data that will be used as a base of decision making. In this research, a technique used to process the data hierarchy formation water into an useful information. In this research, applications developed can analyze data from a wide variety of formats, such as in Excel format, txt, shp, and so on. This can be done because the data will be processed first into a standardized form before the display becomes information. Data processing is the process of ETL (Extract Transform Load), process metadata and processes OLAP (Online Analytics Processing). In this research we use a tool or software Pentaho. In addition, to display the information in the diagram we use the Weka stiff and Java script. Results from the study showed that the technique we proposed this, then processing the data to be useful information is extremely easy. Similarly, to see the characteristics or create a footprint for each well in the form of stiff diagram becomes very easy and fast. © 2018 IEEE.

关键词： Big data

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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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Business Intelligence Design of Rural Bank Performance Assessment Using Financial Ratio Analysis 3

Business Intelligence Design of Rural Bank Performance Asses...

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

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

ISBN: (纸本)9781538658215

There are more than 1600 rural banks (BPR) registered in the OJK. But not all of them are a healthy company that has a good financial condition. One of the methods to assess bank's financial performance is by using financial ratio analysis. To analyze all BPR financial condition using financial ratio analysis will require so many time and effort. That's why Business Intelligence is needed to provide a fast and reliable information for top management in Bank Andara to help them make decisions regarding their potential customer's financial condition. This paper will result in a design of a business intelligence application that will adhere to required financial ratios needed by management user to analyze BPR's financial condition and resulting in a comprehensive and interactive dashboard that will help them to make decisions. © 2018 IEEE.

关键词： Finance

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Business Intelligence Model to Analyze Social Media Information 3

Business Intelligence Model to Analyze Social Media Informat...

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

作者： Kurnia, Parama Fadli Suharjito Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

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. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Data warehouses

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Analysis the acceptance of use for document management system using technology acceptance model 3

Analysis the acceptance of use for document management syste...

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3rd International Conference on Informatics and Computing, ICIC 2018

作者： Setianto, Fauzi Suharjito Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538669204

Most organizations today are beginning to shift from manual document management into a document management system (DMS), which is more reliable and efficient. Many benefits can be gained from the use of DMS such as document management become better and more efficient. However, DMS will not improve the performance of document management if it is not used appropriately. This study aims to determine the effect of perceived ease of use and perceived usefulness of the acceptance of the use of DMS. Technology Acceptance Model (TAM) used in this study to determine the acceptance of DMS usage. Samples were taken from 50 employees who have access to the DMS. Data samples are analyzed with Partial Least Square (PLS) method using SmartPLS 3.0. The results showed that acceptance of DMS depends on perceived ease of use that influence usefulness of DMS and led to the acceptance of DMS. © 2018 IEEE.

关键词： Least squares approximations

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