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

作者： Giovanni Surantha, Nico Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The need to run various media through one infrastructure is the primary reason of the emergence of converged network. The reason is because company wants to reduce investment and maintenance cost by investing on single integrated network rather than traditional separated telecommunication, broadcasting and internet network. In this research, we use top down network design approach to create converged network design that tailored to fulfill the requirement from business and technical aspects. It is started by analyzing design requirement, perform logical and physical design, and perform design testing. Both data and voice traffic should be working well in converged network. In order to optimize the network design, the quality of service (QoS) will be considered. It will be used to accomodate various kind of traffic in this network. Simulation and experiment results show that the proposed network design can satisfy required QoS of converged service network. The proposed network design also performs better availability compared to the existing network design. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Quality of service

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Sales Distribution Activity Tracking System Using Mobile Location Based Services 3

Sales Distribution Activity Tracking System Using Mobile Loc...

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

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

ISBN: (纸本)9781538658215

The current application sales distribution is still not effective because the officer in the field cannot open the application and still use manual note for distribution sales activities. To overcome this, there is need for development to the mobile application. Sales Distribution Activity Tracking System Using Mobile Location Based Services considered very suitable for developing a web application sales distribution. Applications will be installed on android mobile devices associated with databases and servers equipped with the notification. With this application, field officers can input transactions through its android mobile devices. This research will design and build mobile applications sales distribution on smartphone android based. Applications built using Waterfall process model with development programming language C #, SQLite database and use software Xamarin Studio IDE. These applications can run on smartphone with android version 5.0 to 6.0. The results of this study have designed and built an applications that can be used by the company for better process management of the sales distribution and can find sales reports are up to date. The sales distribution activity tracking system using location-based mobile services makes it easy for sales distributions to report their activities to a system that was previously done manually. Based on the result of system feasibility evaluation, this application can be categorized as feasible for business. © 2018 IEEE.

关键词： Location based services

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Analysis Students' Graduation Eligibility Using Data Warehouse 3

Analysis Students' Graduation Eligibility Using Data Warehou...

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

作者： Chandra, Edward Girsang, Abba Suganda Hadinata, Ryo Isa, Sani Muhamad Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Nowadays, most universities have a lot of different ways in considering graduation eligibility for their students. The consideration can use the data which is generated by system online analytical processing (OLTP). However the OLTP system has a limitation to report intuitively. The aim of this research is to create the system using data warehouse which able to see the progress of performance student and the course failed in each term. This system is expected able to predict student's graduation eligibility. Research method of this research consists some steps to implement data warehouse and then is followed by generating the report and on-line analytical processing (OLAP) analysis. Evaluation is done by benchmarking current system with the proposed system. The result shows the system can provide data for the graduation eligibility. © 2018 IEEE.

关键词： Data warehouses

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Development of Data Warehouse to Improve Services in IT Services Company 3

Development of Data Warehouse to Improve Services in IT Serv...

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

作者： Al Faris, Fajar Zaki Suharjito Diana Nugroho, Ariadi Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

On time service delivery is one of the ultimate goal of IT services company. The aim of this study is developing data warehouse to help company keeping up the delivery service time is always on target. This study starts with identifying the problem, data collection, literature study, then develop the data warehouse, making analysis with OLAP, build report and dashboard as needed, and at last evaluation of data warehouse already developed. Extract Transform Load process (ETL) transferred data from operational database to data warehouse. OLAP analysis features in data warehouse can help company to analyse information from multidimensional data;report and dashboard build from information in the data warehouse can help sales team to know what best strategy and making decision. As the result, data warehouse that has been built can help sales team deliver the services on time to their customers. © 2018 IEEE.

关键词： Data warehouses

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Long Short-Term Memory Algorithm for Rainfall Prediction Based on El-Nino and IOD Data

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Procedia computer science 2021年 179卷 829-837页

作者： Dina Zatusiva Haq Dian Candra Rini Novitasari Abdulloh Hamid Nurissaidah Ulinnuha Arnita Yuniar Farida RR. Diah Nugraheni Rinda Nariswari Ilham Hetty Rohayani Rahmat Pramulya Ari Widjayanto Department of Mathematics Universitas Negeri Medan Medan Indonesia 20221 Department of Environmental Engineering UIN Sunan Ampel Surabaya Indonesia 60237 Statistics Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Department of Information System UIN Sunan Ampel Surabaya Indonesia 60237 Department of Information Technology Adiwangsa Jambi University Jambi Indonesia 36125 Faculty of Agriculture University Teuku Umar Aceh Indonesia Meteorological Climatological and Geophysics Agency Surabaya Indonesia 60165

Rainfall has the highest correlation with adverse natural disasters. One of them, rainfall can cause damage to the hot mud embankments in Sidoarjo, East Java, Indonesia. Therefore, in this study, rainfall prediction is carried out to anticipate the damage to the embankments. The rainfall prediction was carried out using Long Short-Term Memory (LSTM) based on rainfall parameters: El-Nino and Indian Ocean Dipole (IOD). Experiments were carried out with two schemes: the first scheme used the El-Nino and IOD parameters, while the second scheme used rainfall time series pattern. Each scheme used varied number of hidden layers, batch size, and learn drop period. The prediction results using El-Nino and IOD parameters obtained MAAPE values of 0.9644 with hidden layer, batch size and learn rate drop period values of 100, 64, and 50. The prediction results using rainfall parameters resulted in a more accurate prediction with a MAAPE value of 0.5810. The best prediction results were obtained with the number of hidden layers, batch size and learn rate drop period of 100, 32, and 150 respectively.

关键词： Deep Learning Long Short-Term Memory LSTM Rainfall Forecasting

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Online Game Marketplace for Online Game Virtual Item Transaction 8

Online Game Marketplace for Online Game Virtual Item Transac...

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8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019

作者： Rachmadi, Randy Chairullah, Rafid Levina, Vania Pambudi, Muchamad Rilo Warnars, Harco Leslie Hendric Spits Matsuo, Tokuro Computer Science Department School of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Departement of IT Consultant PT Parkland World Indonesia Jl. Raya Serang 68 Km. Desa Nambo llir Cikande Serang Banten Indonesia Graduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781728126272

This paper trying to create something new regarding the online game marketplace for producing an integrated marketplace with several combined genre and categories of games. The primary purpose of this research is to develop e-commerce for online games and explain the benefit that people can get from it. This research focuses on building an online marketplace based on a website that can provide an opportunity to do it transaction related to a specific game. Mainly, the online games marketplace quality will be based on user satisfaction and user recommendation from the previous research. Meanwhile, these satisfaction level include four dimensions that decide the perceived value of the user reason for purchasing an online games item, which are functional value, emotional value, monetary value, and social value. From that information, we build a marketplace for online games item to satisfy the user requirement and also benefiting with its advantages. We also provide the difference between e-commerce mainly with our proposed e-commerce for online games item. The results will be a full-fledged web-based application for online games item marketplace. This paper will be an opportunity to further development of online games marketplace for the growth of online games transaction. © 2019 IEEE.

关键词： Electronic commerce

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Service Desk Implementation with Information Technology Infrastructure Library Framework (Study Case Financial Company)

Service Desk Implementation with Information Technology Infr...

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International Conference on Computation in science and Engineering, ICCSE 2017

作者： Handoko, Dwi Girsang, Abba Suganda Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

This paper proposes a service desk to handle two important issues in financial company using the Information Technology Infrastructure Library (ITIL) Framework, i.e. Single Point of Contact (SPOC) and Service Level Agreement (SLA) issues. SPOC is a gateway to information needs of both users and company staff, particularly the IT staff, while SLA defines the responsibilities of the parties where such services work and provides coverage for services provided to the client to achieve client satisfaction. The service desk is built by focusing in service operation. A service desk has been successfully built in this study to make user's problem controllable. The result also shows that the user's problem can be solved faster in many cases. © Published under licence by IOP Publishing Ltd.

关键词： Information Technology Infrastructure Library (ITIL) Service Desk Service Level Agreement Single Point of Contact

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Face Recognition Using Modified OpenFace 3

Face Recognition Using Modified OpenFace

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

作者： Santoso, Kevin Kusuma, Gede Putra Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

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. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Face recognition

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Back propagation neural network experiment on team matchmaking MOBA game 1

Back propagation neural network experiment on team matchmaki...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Tanuar, Evawaty Abbas, Bahtiar Saleh Trisetyarso, Agung Kang, Chul-Ho Gaol, Ford Lumban Suparta, Wayan 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 Department of Electrical Engineering Sanata Dharma University Yogyakarta55282 Indonesia

ISBN: (纸本)9781538609545

Backpropagation is one of the famous method for learning, Implementing Backpropagation techniques in games is part of AI in game. This paper aim to analyzed the best team composition in a Moba Game type in learning using neural network. Mobile Legend: Bang Bang is one of MOBA game for mobile phone. In this experiment, the 2 hidden layers back-propagation neural network algorithm is used to analyze the Mobile Legend game. 5000 training steps was done to reach the stability. This also a way of learning to find the best composition in a team played. Research in area AI and game is very wide and open, a huge opportunity to be explore in future. The objective of this research is to produce the good combination of team which can be resulted in a greater winning chance. © 2018 IEEE.

关键词： Backpropagation

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Object Tracking Based on Meanshift and Particle-Kalman Filter Algorithm with Multi Features

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Procedia computer science 2019年 157卷 521-529页

作者： Irene Anindaputri Iswanto Tan William Choa Bin Li Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 School of Automation Science and Engineering South China University of Technology 381 Wushan Rd Tianhe Qu Guangdong Guangzhou 510630 China

Object tracking is considered to be a key and important task in intelligent video surveillance system. Numerous algorithms were developed for the purpose of tracking, e.g. Kalman Filter, particle-filter, and Meanshift. However, utilizing only one of these algorithms is considered inefficient because all single algorithms have their limitations. We proposed an improved algorithm which combines these three traditional algorithms to cover each algorithms drawbacks. Moreover we also utilized a combination of two features which are color histogram and texture to increase the accuracy. Results show that the method proposed in this paper is robust to cope with numerous issues, e.g. illumination variation, object deformation, non linear movement, similar color interference, and occlusion. Furthermore, our proposed algorithm show better results compare to other comparator algorithms.

关键词： Multi features Object Tracking Meanshift Particle-Kalman Filter

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