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Fast artificial bee colony for clustering

Informatica (Slovenia) 2018年第2期42卷 211-219页

作者： Girsang, Abba Suganda Muliono, Yohan Fanny, Fanny Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Artificial Bee Colony (ABC) is one of good heuristic intelligent algorithm to solve optimization problem including clustering. Generally, the heuristic algorithm will take the high computation time to solve optimization problem. Likewise, ABC also consumes too much time to solve clustering problem. This paper intends solving clustering problem using ABC with focusing reduction computation time called FABCC. This idea proposes detecting the pattern of redundant process then compacting it to effective process to diminish the computation process. There are five data sets to be used to prove the performance of FABCC. The results shows that FABCC is effective to prune the duration process up to 46.58 %. © 2018 Slovene Society Informatika. All rights reserved.

关键词： Heuristic algorithms

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Warding off the plagiarism with the applications (Case study at Bina Nusantara University student and faculty member) 1

Warding off the plagiarism with the applications (Case study...

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

作者： Surjandy Suparta, Wayan Trisetyarso, Agung Kang, Chul Ho Abbas, Bahtiar Saleh Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Audit Program Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Civil Engineering Department University of Technology Yogyakarta Yogyakarta Indonesia Department of Electronics and Communication Engineering Kwangwoon University Korea Republic of Department of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538609545

Plagiarism in the education sector is as serious issues. In 2015 Indonesia ministry of research, technology and higher education stated to eradicate the plagiarism, and after 2 years the similar statement by Indonesia ministry of research, technology, and higher education. The plagiarism becomes the serious program by the ministry. The plagiarism in higher education happened, the faculty member or even a professor found did the plagiarism. Therefore, this paper research conducted using descriptive analysis methodology to elaborate on deep the correlation plagiarism variables. Hence, warding off the plagiarism might possible to perform using the applications. The aim of this research to find the correlation variables that might use to ward off the plagiarism in the future. The very interesting result from 15 questioners and the report shows there are several significant correlation variables of the plagiarism. © 2018 IEEE.

关键词： Intellectual property

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Analysis of Knowledge Management System in Grabb Mobile Application Based On Usability

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Journal of Physics: Conference Series 2020年第2期1477卷

作者： T. Thoyyibah Harco Leslie Hendric Spits Warnars Agung Trisetyarso Edi abdurachman Ford Lumban Gaol Benfano Soewito Computer Science Department Binus Graduate Program-Doctor of Computer ScienceBina Nusantara University Jl. Kebon Jeruk Raya No.27 South Tangerang Banten Faculty of Information Technology University Of Pamulang jl. Jl. Raya Puspitek Serpong No. 10 South Tangerang Banten

Grabb mobile application is a tool that is often used by people to travel. Each will travel then grabb will be ordered and pickup in front of the house and delivered to the destination location according to the address written on the application. Much knowledge can be disseminated through this Grabb application. Among them Grabbb car when going to go using a car, grabbike, service and others. The method in this study uses the adoption of a knowledge management system life cycle (KMSLC). Where the stages used are consists of Analysis of Existing Infrastructure Evaluation, Knowledge Capture, Implement the KM system, Evaluation. The steps taken are system analysis, knowledge mapping in the application, the results of implementation and evaluation using usability with 10 respondents through the adoption of Software Usability Measurement Inventory (SUMI). The results of SUMI's Usability are effectiveness with a value of 90, efficiency 70 and satisfaction 70. By looking at these results, the mobile grabb application is included in the good category because the value of usabililty is above average. A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.

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Perkedel: Spreadsheet-inspired domain-specific programming language for data entry

Perkedel: Spreadsheet-inspired domain-specific programming l...

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2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017

作者： Noprianto Soewito, Benfano Gaol, Ford Lumban Abbas, Bahtiar Saleh Warnars, Harco Leslie Hendric Spits Trisetyarso, Agung Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538607831

To develop a data entry application, one may use a general-purpose programming language, a domain-specific programming language for data entry, or end-user tools that offer no programming at all. The first two offer more flexibilities but greatly differ in complexities. General-purpose language is probably overkill for a simple data entry application. In order to be useful, domain-specific language should be as close as possible to the problem domain and still open to research. This paper presents Perkedel, a domain-specific programming language designed for data entry. It is inspired by spreadsheet concept and offers user interface definitions that resemble a paper-based data entry form. Spreadsheet is one of the most popular programming systems that has been around us for almost four decades and we argue that easy user interface definition is important. This results in writing source code for a data entry application that looks nothing like ordinary source code. This speeds up the development time, too. One of our respondents spent only five minutes to a develop a simple data entry application, compared to the fastest development time of 32 minutes using a generalpurpose language, for similar application. That way, we hope that Perkedel may add a little perk to data entry developer's life using this data entry language. © 2017 IEEE.

关键词： Spreadsheets

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Industrial revolution 4.0 on big data adoption factors on social media users and popularity brands

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Journal of Physics: Conference Series 2021年第1期1839卷

作者： W Sardjono G Rama Putra E Selviyanti A Cholidin G Salim Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia Health Department Politeknik Negeri Jember Jember Jawa Timur Indonesia 68124 Law Studi program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jakarta Indonesia

The purpose of writing this paper is to look at how factors of big data adoption affect the users of social media and brand popularity. The method used in the writing of this paper is by using path analysis and also by doing literature study to find reference material. The results of the analysis indicate that there is influence of big data adoption factors that affect the popularity of the brand. With this research, we get big data model that influence the brand popularity.

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Genetic variation of somaclonal mutants from the 8th generation of Pekalongan accession rodent tuber (typhonium flagelliforme lodd.) based on RAPD-PCR analysis 2

Genetic variation of somaclonal mutants from the 8th generat...

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

作者： Purnamaningsih, Ragapadmi Sianipar, Nesti Fronika Assidqi, Khoirunnisa Spits Warnars, Harco Leslie Hendric Indonesia Center for Agricultural Biotechnology and Genetic Resources Research and Development Bogor16111 Indonesia Food Technology Department Faculty of Engineering Bina Nusantara University Jakarta11480 Indonesia Research Interest Group Food Biotechnology Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Rodent tuber is a potential plant which can be developed as an anticancer drug. The rodent tuber plant has a low anticancer compound which does not have an economic value to be utilized on an industrial scale, particularly to explore as an anticancer drug. The material plant was used 30 clones of Rodent Tuber Pekalongan to increase its bioactive compounds using a combination of in vitro culture with gamma-ray irradiation. The selection process has been done until the 8th generation and obtained 14 somaclonal mutants that have higher bioactive compounds than control plant (non-mutant). This study aimed to analyze the genetic variation of 14 somaclonal mutants of rodent tuber using RAPD with 14 primers. The results were produced 513 total bands with the size of 200-5000 bp and 380 polymorphic bands between somaclonal mutants. OPB-18 primer produced the most polymorphic bands and five specific polymorphic bands of 1336 bp, 1070 bp, 901 bp, 861 bp and 728 bp in the somaclonal mutant M23 (20-4-2-1-1-1). OPD-20 primer produced seven specific polymorphic bands of 1574 bp, 1557 bp, 1501 bp, 1496 bp, 1234 bp, 1229 bp and 1086 bp in the M23 somaclonal mutant. The phylogenetic analysis showed that there were two main groups with the coefficient similarity between 0.77 and 0.83. The highest genetic variation obtained was found in the M23 somaclonal mutant with a genetic difference of 23% compared with control. There are five somaclonal mutants (M24, M22, M21, M16, M14) that have a genetic variation of up to 22% over the control. This study shows that OPB-18 and OPD-20 primers were efficient in detecting somaclonal mutant variants. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Gamma rays

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Business Platform Model for Smart Home for Technology Planning Task Force

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IOP Conference Series: Materials science and Engineering 2019年第2期662卷

作者： Melyani Melyani Raymond Kosala Benny Ranti Suhono Supangkat Ford Lumban Gaol System Information STMIK Nusa Mandiri Bekasi Indonesia Computer Science Department Binus Graduated Program- Doctor of Computer Science Bina Nusantara University Jakarta Indonesia STEI Bandung Institute of Technology Bandung Indonesia

In this study we used an architectural research method based on the Open Services Gateway Initiative and Mobile Agent Technology, which is a model for analyzing smart home business platforms for technology governance planning tasks that include the recommended decision flow process and as recommendations from established business models and expanded to include a series of additional parameters needed to produce a business platform so that it can analyze the business model offered by the developer and detailed analysis of proposed governance in the service sector. And finally this research produces a Framework that presents a technology governance model for updating strategic plans and governance models for technology and frameworks designed to meet the needs of the elderly population and as recommendations for smart home management that aim to measurably improve the welfare of people in Indonesia. The proposed model and strategy recognizes the diversity of the community with existing providers of household tools and developers to optimize resources to achieve the goals and objectives of elderly smart home residents

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Covid-19 Series: A rule-based decision support system for analysis behavior of people while working from home

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IOP Conference Series: Materials science and Engineering 2020年第1期1007卷

作者： Henderi Rani Putri Merliasari Harco L.H. S. Warnars Sugiyatno Department of Informatics Engineering University of Raharja Indonesia Master of Information Technology University of Raharja Computer Science Department Graduate Program – Doctor of Computer Science Bina Nusantara University Indonesia Department of Informatics Bhayangkara Jakarta Raya University Indonesia

COVID-19 makes the community must carry out activities such as school, work, and worship at home. However, the long-running activities from home make people experience boredom which can lead to stress. On the other side, the entertainment obtained by the public through smartphones by reading articles by their interests can reduce boredom. This paper proposed a rules-based decision support system to help the people to make choices of their activities from home while COVID-19 e rules-based approach for make an application decision support system. Ruled base used in application to selected process through characteristics following the interests of the community. This decision support system is implemented in mobile web applications. The system can display articles based on interests by questions or statements through the front end system. The results showed that most users of the application in a happy condition while working from home.

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Design a website to measure ASEAN entrepreneurship profiling

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： Sasmoko H Saroso H Hartono F Purnomo Y Indrianti M K bin Ramly N Artha Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Entrepreneurship Department Podomoro University Jakarta Indonesia 11470 Research Interest Group in Educational Technology Bina Nusantara University Jakarta Indonesia 11480 Business Administration Department Universiti Teknologi Malaysia Malaysia

ASEAN Entrepreneurship Profiling is one of the initial efforts to bring together profiles among ASEAN countries and to find the most powerful determining factor for entrepreneurs in ASEAN, developed using the Neuroresearch and Waterfall Model research methods. This research aims to identify the design of ASEAN Entrepreneurship Profiling website design to collect data online by using Neuroresearch and Waterfall Model research methods. The result shows that this profiling is expected to be able to contribute to novice entrepreneurs to explore gaps, take advantage of opportunities, prepare for their capacity, and build their potential. It is also easier for business actors when visiting the website as it displays self-profiling and recommendations for themselves.

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Transfer Learning from Chest X-Ray Pre-trained Convolutional Neural Network for Learning Mammogram Data

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Procedia computer science 2018年 135卷 400-407页

作者： Bens Pardamean Tjeng Wawan Cenggoro Reza Rahutomo Arif Budiarto Ettikan Kandasamy Karuppiah Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 NVIDIA Corporation

Breast cancer is one of the deadliest cancer for female nowadays. Despite of the rapid advancement in medical image analysis with the rise of deep learning, development of breast cancer detection system is limited due to relatively small size of the publicly available mammogram dataset. In this paper, we discover an effective configuration for transfer learning from Chest X-Ray pre-trained Convolutional Neural Network to overcome the small-size mammogram dataset problem. We found that the best configuration achieve 90.38% validation accuracy for modified.

关键词： Transfer learning Convolutional neural network Medical image analysis Chest X-ray Mammogram

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