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1st International Conference of Artificial Intelligence and Information technology, ICAIIT 2019

作者： Sasmoko Halim, Senly Anthonius Indrianti, Yasinta Udjaja, Yogi Moniaga, Jurike Makalew, Brilly Andro Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Research Interest Group in Educational Technology Bina Nusantara Universiy Jakarta11480 Indonesia Mobile Application and Technology Program Computer Science Department Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538684481

In this digital era, games become one of entertainment that knows no age. For students, the game can have a positive impact, namely increasing cognitive and motoric abilities. This research seeks to see the experience of students in Jakarta after playing the DOTA 2 game. DOTA 2 is one of the famous games and one of the games that once recorded a record of making an event with the biggest prize in the world of E-Sport. The research method used is neuroresearch. Data is obtained through questionnaires with user experience indicators. The results of the study show that the graphics and game style are the determinants of user experience where gameplay and the purpose of play are the main indicators of the user experience of this game. © 2019 IEEE.

关键词： Students

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Door Security System for Home Monitoring Based on ESP32

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Procedia Computer Science 2019年 157卷 673-682页

作者： Andreas Cornelio Revelivan Aldawira Handhika Wiratama Putra Novita Hanafiah Surya Surjarwo Aswin Wibisurya Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Mobile Application & Technology Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Door plays an important role in home security. To secure the house, the occupants of the house will always have the door locked. However, sometimes the house occupants forget to lock the door due to hurry when leaving the house, or they may doubt whether they have locked the door or not. We propose an application called Door Security System which is based on Android using Internet of Things (IoT) technology to monitor the status of the door, controlling the door and increasing security in a house. MQTT cloud is utilized as the communication protocol between smartphone and door lock system. PIR sensor is implemented in the door lock to detect the movement near the door, while touch sensor is installed on the door handle to recognize the human hand. Should the door is opened by force, the alarm will ring and send notification to alert the house occupant on the existence of intruder in the house. The evaluation results show that motion detection sensor can detect movement accurately up to 1,6 meters ahead, and messages published between smartphone and door lock are encrypted properly so messages are safely sent.

关键词： Home Security Internet of Things Lock Door IoT Encrypted MQTT Cloud

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Designing an Institutional Research Management System Framework for Higher Education 3

Designing an Institutional Research Management System Framew...

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

作者： Noerlina Elda Hiererra, Siti Saleh Abbas, Bahtiar Andro Makalew, Brilly Maya Kristin, Desi Nugraha Mursitama, Tirta David Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Mobile Application Technology Program Jakarta11480 Indonesia Computer Science Department Bina Nusantara University School of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Although research activity plays a big role in institutional ranking and provides a great benefit for university lecturer, the process of managing all research activity is tedious and exhausting. In most university, management must be able to collect all hundreds of proposals and reports;not to mention they must be able to accommodate the process of reviewing every single proposal. They also need to monitor all research output in final report and make sure that all of the outputs are correctly achieved from proposed target. In addition to the problems stated, previous activities are done manually, leaving a lot of opportunity to improve and automate the process. All of the addressable opportunity for improvement are explained and explored, thus a model of the web application is created. This paper presents the design of web application used to solve persistent problem in research management, specifically in Binus University. The design methodology is divided into two phases: requirement engineering phase, and system design. Upon finishing the requirement engineering phase, system model is depicted using Unified Modeling Language, specifically: Activity Diagram, Use Case Diagram, and Conceptual Class Diagram. © 2018 IEEE.

关键词： Unified Modeling Language

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Systematic literature review on corruption prevention efforts towards sustainable economy in Indonesia: ICT perspective 2

Systematic literature review on corruption prevention effort...

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

作者： Noerlina Kristin, D.M. Dewanti, R. Sasmoko Mursitama, T.N. Muqsith, A.M. Fajrianti, S.P. Krishti, N.S. Makalew, B.A. Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Research Interest Group in Educational Technology Bina Nusantara University Jakarta11480 Indonesia International Relations Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Psychology Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Mobile Application and Technology Program School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Corruption is an extraordinary crime and must be eradicated not only as fast as possible, but also as efficient and as effective as possible as it hinders the process of achieving sustainable economy. In current modern society, information technology exists as a multidisciplinary tool to solve lingering problems that could not be solved by traditional efforts. This paper aims to provide knowledge regarding identified efforts to fight corruption specifically in Indonesia region. Systematic Literature Review (SLR) methodology is used as the methodology, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow is used as framework to identify relevant records. Scopus database is used as data source. A total of 10 records are labelled as relevant to this research, and the findings are synthesized. It was found from the records that the main areas of interest for ICT research for corruption prevention in Indonesia are (1) information transparency, (2) operational enhancement, (3) success evaluation, (4) security and fraud, and (4) decision support. The findings are expected to assist future research in term of providing valuable insights on corruption prevention using ICT in Indonesia. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Crime

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Development of a Web Based Corruption Case Mapping Using Machine Learning with Artificial Neural Network 3

Development of a Web Based Corruption Case Mapping Using Mac...

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

作者： Noerlina Dewanti, Retno Mursitama, Tirta Nugraha Fairianti, Sheila Putri Kristin, Desi Maya Sasmoko Muqsith, Andi Muhammad Krishti, Nathasya Shesilia Makalew, Brillv Andro Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Management Department Bina Nusantara University BINUS Business School Undergraduate Program Jakarta11480 Indonesia International Relations Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Psychology Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta11480 Indonesia Computer Science Department Bina Nusantara University School of Computer Science Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Mobile Application Technology Program Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Cumulative state loss over the years caused by corruption in Indonesia has reached a fantastic number of 15 Billion usn up until 2016 [1]. To imagine the severances of it, 10.000 KM of highway can be built with that much amount of fund. Several responses has been done by Indonesian government to fight corruption from both prevention and persecution. This work focuses on the development of a web application aimed to provide insight to corruption case per province in Indonesia. The web application was developed using Machine Learning, specifically Backpropagation Artificial Neural Network (ANN). Web crawling and web scraping techniques are used to gather news content from 7 major news portal in Indonesia. Accuracy is measured by comparing correct prediction by ANN to its true value. Upon finding corruption news, data is saved and further analysis is done to establish the number of corruption news per region. Finally, the output is visualized using Google Map API. The purpose of this work is to provide regional depiction of corruption case to give further insight to be used by decision makers. Upon using this web application, objectivity of program development is expected to increase. The final output of the web application is a map of corruption case in Indonesia per region. The accuracy of ANN used in this work to classify corruption and non-corruption news is 96.91 % using Sigmoid Activation Function. © 2018 IEEE.

关键词： Neural networks

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Designing an Institutional Research Management System Framework for Higher Education

Designing an Institutional Research Management System Framew...

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International Conference on Information Management and technology (ICIMTech)

作者： Noerlina Siti Elda Hiererra Bahtiar Saleh Abbas Brilly Andro Makalew Desi Maya Kristin Tirta Nugraha Mursitama David Information Systems Department Bina Nusantara University Jakarta Indonesia Industrial Engineering Department Bina Nusantara University Jakarta Indonesia Mobile Application & Technology Program Bina Nusantara University Jakarta Indonesia International Relations Department Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia

The following topics are dealt with: Internet; organisational aspects; data analysis; educational institutions; information systems; knowledge management; statistical analysis; further education; computer aided instru... 详细信息

关键词： Manuals Education Proposals Information systems Requirements engineering System analysis and design Conferences

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Development of a Web Based Corruption Case Mapping Using Machine Learning with Artificial Neural Network

Development of a Web Based Corruption Case Mapping Using Mac...

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International Conference on Information Management and technology (ICIMTech)

作者： Noerlina Retno Dewanti Tirta Nugraha Mursitama Sheila Putri Fajrianti Desi Maya Kristin Sasmoko Andi Muhammad Muqsith Nathasya Shesilia Krishti Brilly Andro Makalew Information Systems Department Bina Nusantara University Jakarta Indonesia Management Department Bina Nusantara University Jakarta Indonesia International Relations Department Bina Nusantara University Jakarta Indonesia Psychology Department Bina Nusantara University Jakarta Indonesia Primary Teacher Education Department Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia Mobile Application & Technology Program Bina Nusantara University Jakarta Indonesia

关键词： Artificial neural networks Government Data models Machine learning Backpropagation Indexes

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Systematic literature review on corruption prevention efforts towards sustainable economy in Indonesia: ICT perspective

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IOP Conference Series: Earth and Environmental Science 2018年第1期195卷

作者： Noerlina D M Kristin R Dewanti Sasmoko T N Mursitama A M Muqsith S P Fajrianti N S Krishti B A Makalew Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Research Interest Group in Educational Technology Bina Nusantara University Jakarta Indonesia 11480 International Relations Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Psychology Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Mobile Application & Technology Program School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

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