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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

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.

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

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.

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Getting Undergraduates Ready for China’s Belt and Road Initiative (BRI) Through an Overseas Experiential Learning Project

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China and the World 2021年第3期4卷

作者： Andrew Min Han Chin Thomas Menkhoff Hans-Dieter Evers Hoong Hui Daniel Gn Kevin Koh Chester Wey Lee Patrick H. M. Loh Linda Low Sebastian Tan Teng Seng Teo Natalie Yap Lee Kong Chian School of Business Singapore Management University (SMU) 81 Victoria Street Singapore 188065 Singapore Andrew Chin Min Han graduated from Tsinghua University in Beijing China with a Tsinghua–MIT Sloan International Master of Business Administration degree under the Singapore Government’s Asian Business Fellowship (ABF) scholarship program. He is the Program Director of Singapore Management University (SMU) Executive Certificate in China Business and of the SMU Internationalisation Series. He teaches as an Adjunct Faculty of Strategy and Organisation at the SMU Lee Kong Chian School of Business since January 2017. He teaches effectively in English and Chinese. With over 23 years of experience in education and publishing industry in Asia Andrew Chin’s multi-sector career has enabled him to experience the full spectrum of the education industry in his roles as the Singapore EDB Officer handling the World-Class University portfolio and the Specialist Information and Publishing Industry portfolio Chief Representative and Country Manager (China) at Thomson Learning (Fortune 500 company) and Co-founder and CEO for an early childhood education business. Andrew was a Business Development Director (Universities) at Sodexo Group (Fortune 500 company) for the Asia-Pacific region. After working 10 years in Beijing China Andrew returned to Singapore in 2012 to work closely with the top leadership at Singapore Management University on the SMU China & East Asia Initiatives. Thomas Menkhoff is the Professor of Organisational Behaviour & Human Resources (Education) at the Lee Kong Chian School of Business Singapore Management University (SMU). Two of his recent publications include: (i) Menkhoff Thomas Ning Kan Siew Evers Hans-Dieter and Chay Yue Wah eds. Living in Smart Cities: Innovation and Sustainability (New Jersey: World Scientific Publishing 2018) and (ii) Chay Yue Wah Menkhoff Thomas and Low Linda eds. China’s Belt and Road Initiative — Understanding the Dynamics of a Global Transfor

In this paper, we explain how an experiential learning course and study tour to Gansu Province (People’s Republic of China) enabled undergraduates at the Singapore Management University (SMU) to acquire 21st-century competencies and higher-order thinking skills by analyzing and evaluating specific aspects of China’s Belt and Road Initiative (BRI) and China–Singapore (Chongqing) Connectivity Initiative — New international Land–Sea Trade Corridor (CCI-ILSTC) with emphasis on developing viable Go-To-Market (GTM) strategies aimed at selling Gansu produce in four Southeast Asian markets. We share how the course was designed to support the attainment of key learning goals and discuss how we turned pedagogical aspirations into concrete learning outcomes. We introduce key aspects of the so-called “SMU-XO” project that the students conducted in partnership with an industry partner, Pacific international Lines (PIL), and discuss how the project work helped learners to gain global competency by (i) examining critical issues related to BRI such as multi-modal infrastructure connectivity, (ii) appreciating the local perspectives of project stakeholders in Lanzhou and Shanghai and (iii) successfully interacting with people from different cultures, namely China, Indonesia, Vietnam, Malaysia and Thailand.

关键词： Experiential learning Singapore China Belt and Road Initiative (BRI)

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Hybrid technique for indoor positioning system based on Wi-Fi received signal strength indication 5

Hybrid technique for indoor positioning system based on Wi-F...

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5th international Conference on Indoor Positioning and Indoor Navigation, IPIN 2014

作者： Torteeka, Peerapong Chundi, Xiu Dongkai, Yang Master Program of Space Technology and Application School of Electronic and Information Engineering Beihang University Beijing China

ISBN: (纸本)9781467380546

An indoor positioning system based on Receive Signal Strength Indication(RSSI) from wireless access equipment has become very popular in recent years. This system is very useful in many applications such as tracking service for older people or customer inside living communities, mobile robot localization, logistics systems etc. While outdoor environment using Global Navigation Satellite System(GNSS) and cellular network work well and are widespread used for navigation. However, there is a problem with signal propagation from satellites or cell site. They cannot be used effectively inside complex building areas or even in an urban environment. In general, the widely used method for indoor environment positioning based on Wi-Fi consists with two main categories, which are trilateration technique and location fingerprint technique(LF). It is already known that the explicit positioning performance of trilateration technique is more sensitive to noise effect than LF technique. Nevertheless, the accuracy of LF technique depends on training data set and it does not work well when environment changes. In this article, we propose the hybrid algorithm, the combination of the advantages of both systems, which is able to improve the accuracy stability and robustness. The performance of this algorithm is evaluated by the experimental results, which shows that our proposed scheme can achieve a certain level of positioning system accuracy. © 2014 IEEE.

关键词： Indoor positioning systems

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Indoor positioning based on Wi-Fi Fingerprint Technique using Fuzzy K-Nearest Neighbor

Indoor positioning based on Wi-Fi Fingerprint Technique usin...

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2014 11th international Bhurban Conference on Applied Sciences and technology, IBCAST 2014

作者： Torteeka, Peerapong Chundi, Xiu Master Program of Space Technology and Application School of Electronic and Information Engineering Beihang University Beijing China

ISBN: (纸本)9781479923199

Indoor positioning system based on Receive Signal Strength Indication(RSSI) from Wireless access equipment have become very popular in recent years. This system is very useful in many applications such as tracking service for older people, mobile robot localization and so on. While Outdoor environment using Global Navigation Satellite System(GNSS) and cellular[14] network works well and widespread for navigator. However, there was a problem with signal propagation from satellites. They cannot be used effectively inside the building areas until a urban environment. In this paper we propose the Wi-Fi Fingerprint Technique using Fuzzy set theory to adaptive Basic K-Nearest Neighbor algorithm to classify the labels of a database system. It was able to improve the accuracy and robustness. The performance of our simple algorithm is evaluated by the experimental results which show that our proposed scheme can achieve a certain level of positioning system accuracy. © 2014 IEEE.

关键词： Fuzzy sets

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Indoor positioning based on Wi-Fi Fingerprint Technique using Fuzzy K-Nearest Neighbor

Indoor positioning based on Wi-Fi Fingerprint Technique usin...

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international Bhurban Conference on Applied Sciences & technology, IBCAST

作者： Peerapong Torteeka Xiu Chundi Master Program of Space Technology and Application School of Electronic and Information Engineering Beihang University Beijing China

Indoor positioning system based on Receive Signal Strength Indication (RSSI) from Wireless access equipment have become very popular in recent years. This system is very useful in many applications such as tracking service for older people, mobile robot localization and so on. While Outdoor environment using Global Navigation Satellite System (GNSS) and cellular [14] network works well and widespread for navigator. However, there was a problem with signal propagation from satellites. They cannot be used effectively inside the building areas until a urban environment. In this paper we propose the Wi-Fi Fingerprint Technique using Fuzzy set theory to adaptive Basic K-Nearest Neighbor algorithm to classify the labels of a database system. It was able to improve the accuracy and robustness. The performance of our simple algorithm is evaluated by the experimental results which show that our proposed scheme can achieve a certain level of positioning system accuracy.

关键词： IEEE 802.11 Standards Wireless communication Wireless sensor networks Training Accuracy Fingerprint recognition Euclidean distance

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Hybrid technique for indoor positioning system based on Wi-Fi received signal strength indication

Hybrid technique for indoor positioning system based on Wi-F...

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international Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Peerapong Torteeka Xiu Chundi Yang Dongkai Master Program of Space Technology and Application School of Electronic and Information Engineering Beihang University Beijing P.R. China

关键词： IEEE 802.11 Standard Noise Accuracy Mathematical model Training Euclidean distance Least squares approximations

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Big Data: Prospects and Challenges

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Vikalpa 2015年第1期40卷 74 - 96页

作者： Janakiraman Moorthy Rangin Lahiri Neelanjan Biswas Dipyaman Sanyal Jayanthi Ranjan Krishnadas Nanath Pulak Ghosh (Coordinator) Director and Professor of Marketing at the Institute of Management Technology Dubai. Earlier he was Professor of Marketing at the IIM Calcutta and IIM Lucknow. He received his PhD from IIM Ahmedabad. His recent research papers were published in the leading scholarly ournals such as Marketing Science British Food Journal Journal of Information Technology Case and Application Research Journal of Database Marketing & Customer Strategy Management. He has wide experience in the banking and investment industry. He was earlier the Global Research and Project Director of the Institute for Customer Relationship Management Atlanta USA. He was the Convener of the prestigious CAT Exam 2011. e-mail: Practice Director leading Atos India's CRM practice while supporting Strategic Business Development for North American Market. With an experience of more than 15 years Rangin has worked extensively as a Business Consultant in Information Technology (Sales Automation Marketing & Service Management area) Customer Data Management and CRM Analytics. e-mail: Business Consultant at Atos with extensive experience in Business Analysis Risk Management Analytics Business Development Presales Solution Ideation on Enterprise Data Management Enterprise Reference Data and Master Data Management area. e-mail: founder and CEO of dono consulting a boutique quantitative analytics and investment research firm. He has worked for leading financial firms in New York and India including Dow Jones Blackstone Sorin Capital (VP Quantitative Modeling) and Thomson Reuters (Head of Real Estate Analytics). A CFA charter holder and Commonwealth Scholar Deep has an MS (Applied Economics) from University of Texas Dallas and an MA (Economics) from Jadavpur University e-mail: Professor in the Information Systems Group of the Institute of Management Technology Ghaziabad. Her PhD is in the field of data mining from Jamia Millia Islamia Central University India. She has published five edited books. She is serving on the editorial b

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Selective Diary of Conferences, Exhibitions, and Courses

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World Patent information 2010年第3期32卷 271-273页

作者： Michael Blackman Editor-in-Chief Editor’s notes: 1. The most up-to-date version of the selective diary is available online on ScienceDirect. 2. If you produce or have access to suitable information for this section please include me in your regular mailings (at mblackmanwpi@tiscali.co.uk). Once again the conference listings at the IP Menu site (***) and the PIUG site (***) have been particularly valuable in compiling the selective diary in Section 1. 1. Selective diary of conferences and exhibitions 2010 Patent & Innovation (Applied Econometrics Association/***) 21–22 January 2010 Melbourne Australia PIUG 2010 Boston Biotechnology Meeting “Managing biosequences: retrieval to results” 10 February 2010 Cambridge MA USA IPC User Seminar (WIPO) February 2010 IPI-ConfEx “Best practices in patent information management and searching techniques” 7–10 March 2010 Lisbon Portugal 239th American Chemical Society National Meeting and Exposition 21–25 March 2010 San Francisco CA USA Search Matters (EPO) Late March 2010 The Hague Netherlands European Patent Forum and PATINNOVA April 2010 PIUG Annual Conference 1–6 May 2010 Baltimore USA Patlib Conference 12–14 May 2010 Dresden Germany 132nd International Trademark Association Annual Meeting (INTA) 22–26 May 2010 Boston Massachusetts USA 29th European Community Trademarks Association Annual Conference (ECTA) 16–19 June 2010 Barcelona Spain 1st Information Retrieval Facility Conference 31st May 2010 Vienna Austria 3rd Information Retrieval Facility Symposium “Benchmarking Relevance” 1–4 June 2010 Vienna Austria 240th American Chemical Society National Meeting and Exposition 22–26 August 2010 Boston Massachusetts USA 42nd World Intellectual Property Congress (AIPPI) 1–6 October 2010 Paris France PIUG 2010 Northeast Conference October 2010 ICIC 2010 (The International Conference on Trends for Scientific Information Professionals – Infonortics) October 2010 Vienna Austria 3rd International CIKM Workshop on P

1. The most up-to-date version of the selective diary is available online on ScienceDirect. 2. If you produce or have access to suitable information for this section, please include me in your regular mailings. Once again, the conference listings at the IP Menu site and the PIUG site have been particularly valuable in compiling the selective diary in Section 1.

关键词： Access LIST Byways Anatomic Site Exhibitions Curriculum

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Achieving compelling student comprehension of complex information structures for both on-site and on-line courses

Achieving compelling student comprehension of complex inform...

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2008 ASEE Annual Conference and Exposition

作者： Uhlig, Ronald Farahani, Alireza Viswanathan, Shekar Evans, Howard Sotelo, Mark National University Department of Computer Science and Information Systems School of Engineering and Technology National University Wireless Communications for the Master ot Science in Wireless Communications Program International Telecommunications Academy School of Engineering and Technology Department of Applied Engineering Lead Faculty for Engineering Management and Homeland Security and Safety Engineering Academic Computing for National University

Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data structures. These are multidimensional and can be difficult to grasp quickly. Supported by a Hewlett-Packard (HP) technology for Teaching grant, the School of Engineering and technology at National University has embarked on a project to enable students to grasp these complex concepts more quickly and easily, using continuous dialog among students and instructors as the structures are first introduced and then examined from multiple perspectives through real-time interaction among students, small groups, and instructors. HP Wireless Tablet PCs are used to discuss and experiment with diagrams and processes in realtime. This allows combining lectures and problem-solving sessions into a single class session. Our hypothesis is that: 1) an in-depth learning of theory is accomplished, and 2) student engagement is enhanced. Presentation of theory by the instructor is integrated with application while the theory is still in the student's short-term memory. Students no longer have to wait for a separate session such as a recitation session to apply the concepts. This approach often takes less time. In addition to accelerating the learning process, expert instructors find this approach more rewarding as students grasp new concepts more quickly. Analysis of data captured from both students and instructors are presented to support our hypotheses, and our results are compared with similar research carried out by other universities. In addition, the level of interaction enabled by the use of HP Tablets in on-line classes is discussed. The best teaching tools available in existing on-line teaching platforms are compared with the additional tools available in on-site courses when every student has a wireless Tablet PC and specific recommendations are made to on-line teachi

关键词： Students

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