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International Conference on computer, Control, Informatics and Its Applications (IC3INA)

作者： Irwin Santoso Soegiharto Abba Suganda Girsang Computer Science Department Binus Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Binus Graduate Program - Master of Computer Science Binus Nusantara University Jakarta Indonesia

ISBN: (数字)9798331542313

ISBN: (纸本)9798331542320

NoSQL database has gained popularity in Big Data and other various applications for its simplicity and flexibility. The non-relational nature of NoSQL database such as MongoDB proves to improve development lifecycles and resources efficiency. However, security challenges arise along with increasing usage of NoSQL database, and NoSQL database is no exception to injection attacks. Machine learning proved to be an efficient method, as much has been researched. However, in the future there may be an increasing complexity of features that may prove costly to the model’s performance. Therefore, this research aims to utilize principal component analysis as dimensionality reduction and deep neural network as the classification method, to improve the security of NoSQL database. The text query is converted to feature vectors then further processed to reduce the input dimension of the deep neural network using PCA. The features used are based on previous research and various sources, and some are added after analyzing the dataset.10-fold cross validation is also applied to ensure that the model does not overfit the data, attempting to reduce bias to the result. The 10-fold cross validation model accuracy result is in average 97.44% with a standard deviation of 1.7%, and the testing results are 97.5% in accuracy,95.65% in precision, 91.67% in recall, and 93.61% in F1 score. Thus, it can be concluded that the usage of PCA on injection feature vectors can reduce complexity of the model.

关键词： Technological innovation NoSQL databases Artificial neural networks Vectors Complexity theory Security Informatics Standards Principal component analysis Testing

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Automation testing using silk test workbench for website

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Procedia computer science 2023年 216卷 128-135页

作者： Feliks Abedyoga Chandra Parapat Gede Putra Kusuma Muhammad Rizki Nur Majiid Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Automation testing is essential to carry out functional testing quickly and precisely. Software testing is beneficial for testers doing many testing processes according to the existing scenarios. So, there is an urgency to explore a more advanced solution to replace the traditional approach. Silk Test Workbench is a tool for automation testing that can accelerate the functional testing of complex applications. For this research, we proposed automation testing on website applications with various testing scenarios that have been made. The visual test recording method is used for automation testing with Silk Test Workbench. Silk Test Workbench can speed up testing time, make a good test asset testing scenario, make it easier for users to do testing, and speed up the process to get the result in the form of a screen capture of the testing process. A comparison of testing time has been performed. The automatic testing time with the scenarios is 2 hours 46 minutes. The automatic testing time will be 2 hours 36 minutes using the all-in-one scenario. This study also used questionnaires from colleagues in the Quality Assurance field to get maximum User Acceptance Test results.

关键词： Automation Testing Silk Test Workbench Testing Strategy Testing Environment Web Application

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BERT base model for toxic comment analysis on Indonesian social media

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Procedia computer science 2023年 216卷 714-721页

作者： Ghinaa Zain Nabiilah Simeon Yuda Prasetyo Zahra Nabila Izdihar Abba Suganda Girsang Computer Science Department Binus Graduate Program Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

Social media is an online media that functions as a platform for users to participate, share, create, and exchange information through various forums and social networks. The rapid increase in social media activity causes an increase in the number of comments on social media. This is prone to triggering debate due to the easy formation of open discussions between social media users. However, the debate often triggers the emergence of negative things, causing great fights on social media. Social media users often use comments containing toxic words to argue and corner a party or group. This study conducted an experiment to detect comments containing toxic sentences on social media in Indonesia using a Pre-Trained Model that was trained for Indonesian. This study performed a multilabel classification and evaluated the classification results generated by the Multilingual BERT (MBERT), IndoBERT, and Indo Roberta Small models. The optimal result of this study is to use the IndoBERT model with an F1 Score of 0.8897.

关键词： Toxic Comment MBERT IndoBERT IndoRoBERTa Small Indonesian social media

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Evaluating Vision Transformers Efficiency in Image Captioning

Evaluating Vision Transformers Efficiency in Image Captionin...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： Bintang Kevin Hizkia Samosir Sani Muhamad Isa Computer Science Department Binus Graduate Program – Master of Computer Science Binus University Jakarta Indonesia

ISBN: (数字)9798331506490

ISBN: (纸本)9798331506506

This study investigates the performance of Vision Transformer (ViT) variants—the Shifted Window Transformers (SWIN), Distillation with No Labels (DINO), and Data-efficient Image Transformers (DeIT)—in image captioning tasks using the Flickr8K dataset. While ViT architectures have shown promise in image classification, their effectiveness for image captioning, particularly with smaller datasets, remains unclear. The models' performance was evaluated using BLEU metrics, while training efficiency was analyzed through Pareto front analysis of computational time and accuracy. Among the tested variants, SWIN Transformers demonstrated superior performance (BLEU-1: 64.4, BLEU-2: 33.9, BLEU-3: 17.1, BLEU-4: 8.4), followed by DINO (BLEU-1: 63.1, BLEU-2: 32.7, BLEU-3: 16.4, BLEU-4: 7.5), while DeIT showed the weakest performance (BLEU-1: 61.6, BLEU-2: 31.1, BLEU-3: 14.7, BLEU-4: 6.5). SWIN Transformers achieved the shortest training time at 3 minutes 31 seconds per epoch, making it the most efficient model among ViT variants based on Pareto front analysis. While ViT variants achieved competitive BLEU-1 scores comparable to previous top models, they struggled with generating coherent, longer sentences, as evidenced by suboptimal BLEU-4 scores. These findings provide empirical evidence of how the lack of inductive bias in transformer architectures affects their ability to capture complex scene relationships, despite their strong feature detection capabilities, contributing to the understanding of transformer models' limitations in vision-language tasks, especially with limited data.

关键词： Training Measurement Analytical models Feature detection Computational modeling computer architecture Transformers Data models Computational efficiency Image classification

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Using ISO-9126 and SECI Model for Enhancing Enterprise Resource Planning Implementation Strategic in Broadcasting Company 4

Using ISO-9126 and SECI Model for Enhancing Enterprise Resou...

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4th International Conference on Information Management and Technology, ICIMTech 2019

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Binus Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia

ISBN: (纸本)9781728133331

Implementation of Enterprise Resource Planning (ERP) is important in the company's business activities. By utilizing ERP, company business process activities can be integrated optimally, although in its implementation there are still many obstacles to operational problems that often occur which are reflected through the number of problem tickets. The purpose of this research is to identify the factors that cause the gap in the successful implementation between the target and its realization, then build a model that can describe the current condition, so that it can be used to analyze strategic steps in developing future implementations. Departing from concepts and theories ISO-9126 for software evaluating and SECI Model theory for Knowledge Management Development, further research instruments were built to get opinions from a number of respondents related to ERP implementation in broadcasting companies. The analysis technique used in data processing is by factor analysis method to obtain the existing gap factors and regression analysis to build a model of a number of factors formed. The results show that there are four factors that influence the gap between the realization of the implementation results and the expected implementation targets, the four factors are ERP software performance, complexity in ERP software, business flow mismatches, and user skills. Furthermore, the success of ERP implementation can be controlled by a model that can be used to simulate the influence of the four factors on the success of ERP implementation. © 2019 IEEE.

关键词： Factor analysis

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Mining Association rule with Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) data mining technique 2

Mining Association rule with Attribute Oriented Induction Hi...

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2nd International Conference on Inventive Communication and Computational Technologies, ICICCT 2018

作者： Warnars, Harco Leslie Hendric Spits Gaol, Ford Lumban Heryadi, Yaya Trisetyarso, Agung Sanchez, Horacio Emilio Perez Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta11480 Indonesia Guadalupe30107 Spain

ISBN: (纸本)9781538619742

Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) as proposed new data mining technique has been success to mine frequent and similar patterns. Moreover, the AOI-HEP data mining technique has been improved with confidence mining pattern into two terms, where firstly give confidence mining pattern for each AOI-HEP pattern either frequent or similar pattern. Secondly, give confidence for each dataset as confidence AOI-HEP pattern between frequent and similar patterns. Confidence for each AOI-HEP pattern will show how interested each of AOI-HEP pattern between frequent and similar pattern, whilst confidence per dataset will show how interested each dataset between frequent and similar pattern. In this paper the mining of AOI-HEP has been extended to mine AOI-HEP association rules using the current AOI-HEP frequent pattern, since association rule deal with frequent pattern. Based from previous experiments upon 4 UCI machine learning datasets such as adult, breast cancer, census and IPUMS, there are 9 finding AOI-HEP frequent patterns where 8 from adult and breast cancer datasets respectively. Finally, there are 2 and 1 AOI-HEP association rules from adult and breast cancer datasets respectively. © 2018 IEEE.

关键词： Association rules

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The use of android smart phones as a tool for absences

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Procedia computer science 2019年 157卷 238-246页

作者： Benfano Soewito Fergyanto E. Gunawan Indra Permana Rusli Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480

One of the issues of current attendance system is not being able to record employees who working outside the office. This work discussed a solution designed to solve common operational project problems, especially in attendance and tasklist management activity in companies who has employee working outside of the office. Considering the number of employees who have to visit various places, conventional attendance system is no longer feasible as be the solution. Similar problem occured in tasklist management, with so many employees to manage in different places will make it difficult for Project Manager to assign task and monitor the progress. Based on the problems, solusion was then designed using SDLC Waterfall using the field research data. This research conclude that by using the proposed application, complexity can be reduced and effectiveness can be improved in performing day-to-day operational task and make sure that they can be monitored. Moreover, the number of employee who responsible to make reports of projects and attendance can be reduced about 50%.

关键词： Attendance system Android Smartphone HTML5 Mobile application

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Analysis of Sofware Accounting Effectiveness on Data Sales in Bliss Kitchen 11

Analysis of Sofware Accounting Effectiveness on Data Sales i...

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11th International Conference on Communication and Network Security, ICCNS 2021

作者： Meiryani, Meiryani Franciska, Hanny Widuri, Rindang Liawatimena, Suryadiputra Daut, Zaidi Mat Ulinnuha, Hana Accounting Department Faculty of Economics and Communication Bina Nusantara University Jakarta11480 Indonesia Accounting Department Binus Graduate Program Master of Accounting Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia Tourism Destination Faculty of Economic and Communication Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781450386425

The development of the increasingly advanced business world will certainly always be related to technological developments, especially in the current 4.0 era. In Indonesia, there are various types of companies such as services, manufacturing, food, and others. The development of the company will cause more and more complex transactions. It is very unlikely that the company has to record all forms of operations with a manual system, especially for large companies with so much data that they need a system to help process data quickly so that all transactions can be processed into reliable information. complete and accurate so that the company's goals can be realized. The purpose of this study was to determine the effectiveness of accurate accounting software for recording sales reports in one of the companies that engaged in food & beverage, namely Bliss Kitchen. The research that the writer did used is a quantitative approach with a survey method. This study finds that Accurate software that applied in Bliss kitchen is effective. Evidence shows the results of the questionnaire from Bliss Kitchen employees is positive about Accurate. © 2021 ACM.

关键词： Sales

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Impact of Intention to Use to a Document Management System (Case Study Approach) 3

Impact of Intention to Use to a Document Management System (...

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

作者： Hartono, Sugiarto Kosala, Raymondus Raymond Supangkat, Suhono Harso Ranti, Benny Information Systems Department Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781538658215

Document management system makes user to access information anytime and anywhere. The purpose of this research is to analyze what variables have impact on the intention to use of document management system. To achieve the objectives conducted by identification problem on the research model developed from the model of Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology to the use of document management system. Furthermore, the data obtained from the respondents tested outer model, inner model test, hypothesis test and to produce a comprehensive analysis will be conducted Importance Performance Analysis. This research will result in a comprehensive analysis and able to provide recommendations and solutions for improvement from the implementation DMS has been done earlier. © 2018 IEEE.

关键词： Information services

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Analysing the trends of cyber attacks: Case study in Indonesia during period 2013-Early 2017

Analysing the trends of cyber attacks: Case study in Indones...

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2017 International Conference on Innovative and Creative Information Technology: Computational Intelligence and IoT, ICITech 2017

作者： Edy, Setyawan Gunawan, Wang Wijanarko, Bambang Dwi Information Systems Management BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11530 Indonesia Computer Science Department BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538640456

The latest development of internet technologies and globalization have increased the risks of running business in Indonesia. With hundred million of Indonesian users exposed to the internet and increasing reliance of corporations with internet technologies have made Indonesian corporations fragile to information theft issues. Nowadays, information theft has become global issues where all corporations and governments around the world have taken necessary measures to secure their essential assets. Along with the government plan to establish internet watchdog body in 2017, the article took the case of cyber-attacks that occurred within period of 2013-early 2017, with the objective to analyze the trends of cyber-attacks in Indonesian corporations. The article is carried out with the consideration that although the internet security issues are important, however, there is still very few articles can be found to illustrate the trend of cyber-attacks in Indonesian corporations, and almost all cases tend to be closed from public exposure. © 2017 IEEE.

关键词： Crime

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