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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Girsang, A.S. Al Faruq, B. Herlianto, H.R. Simbolon, S. Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The recommendation system is one method to know the preference consumer by showing the potential object. This recommendation also helps the consumer gets the preference object. One of the popular objects in the recommendation is anime film. In this case, we conduct research to recommend anime films based on ratings of previously watched films. Collaborative filtering is a technique that consists of calculating similarities, predictions, and recommendations. This study is taken from dataset Kaggle which consists of 73,516 users and 12,294 anime. A user's history will be matched with the whole user's history with alternating least squares (ALS) method. The anime will be recommended based on that results. This method is expected to help millions of users find the desired anime. © Published under licence by IOP Publishing Ltd.

关键词： Collaborative filtering

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consexpressionR: an R package for consensus differential gene expression analysis

arXiv

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arXiv 2025年

作者： Costa-Silva, Juliana Menotti, David Lopes, Fabricio M. Department of Informatics Federal University of Paraná Rua Coronel Francisco Heráclito dos Santos 100 Paraná81531-990 Brazil Department of Computer Science Bioinformatics Graduate Program Federal University of Technology - Paraná Av. Alberto Carazzai 1640 - Cornélio Procópio ParanáPostal code: 86300-000 Brazil

Motivation: Bulk RNA-Seq is a widely used method for studying gene expression across a variety of contexts. The significance of RNA-Seq studies has grown with the advent of high-throughput sequencing technologies. Computational methods have been developed for each stage of the identification of differentially expressed genes. Nevertheless, there are few studies exploring the association between different types of methods. In this study, we evaluated the impact of the association of methodologies in the results of differential expression analysis. By adopting two data sets with qPCR data (to gold-standard reference), seven methods were implemented and assessed in R packages (EBSeq, edgeR, DESeq2, limma, SAMseq, NOISeq, and Knowseq), which was performed and assessed separately and in association. The results were evaluated considering the adopted qPCR data. Results: Here, we introduce consexpressionR, an R package that automates differential expression analysis using consensus of at least seven methodologies, producing more assertive results with a significant reduction in false positives. Availability: consexpressionR is an R package available via Source code and support are available at GitHub (https://***/costasilvati/consexpressionR). © 2025, CC BY-NC-ND.

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Web-Based Evaluation System Using Kirkpatrick Model for High School Education (A Case Study for Vocational High School in Jakarta) 3

Web-Based Evaluation System Using Kirkpatrick Model for High...

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

作者： Fadhilah, Muchammad Kukuh Surantha, Nico Isa, Sani M. Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Evaluation is the best way to refine a service quality. Quality of service will have an effect on the accomplishment of an organization's aim. Suitable and precise evaluation model will help the vocational high school in arranging a master plan to enhance the quality of education services provided. Kirkpatrick's model became the fundamental framework in this case study. This model was usually utilized to evaluate the impact of corporate training to the development of staff and also the impact to organization performance. In this paper, we perform case study for one of the vocational high school in Jakarta. There is a concern from the school about how to conduct evaluation of the teaching activity, students performance, and institution performance. In this paper, we propose a web-based e-learning system using Kirkpatrick evaluation model to solve this problem. We built the e-learning application using codeigniter framework. From the result, it can be seen that the developed system can provide platform for the school to evaluate the quality of teaching activity based on the students feedback, evaluate the performance of students after attending class, and also evaluate how the trend of institution performance year by year. © 2018 IEEE.

关键词： Students

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Implementation of Light Gradient Boosting Machine (LGBM) for Customer Services Feedback Classification 5

Implementation of Light Gradient Boosting Machine (LGBM) for...

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5th International Conference on Artificial Intelligence and Data sciences, AiDAS 2024

作者： Anggreainy, Maria Susan Binus Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11530 Indonesia

ISBN: (纸本)9798331528553

Customer complaints are an important aspect in the business world. Every company must face complaints from its customers, whether related to unsatisfactory products, services or experiences. Customer complaints are a sign of unmet needs or expectations. A customer service person is tasked with serving questions asked by customers or consumers. The purpose of this research is to classify types of complaints to help customer service. The classification carried out is in binary form, namely disputed or not. This research compares several machine learning algorithms for classification of customer questions into appropriate categories for more efficient responses. Based on evaluation metrics, the F1 Score light gradient boosting machine (LGBM) is the best model compared to Multinomial Naive Bayes (MNB), Logistic Regression (LR), SVM (Support Vector Machine), and EXTC (Extra Tree Classifier). © 2024 IEEE.

关键词： Sales

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Analyzing the Impact of Service Design on Maintainability Factor in Microservices Architecture 15

Analyzing the Impact of Service Design on Maintainability Fa...

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15th International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2023

作者： Gintoro Gaol, Ford Lumban Soeparno, Haryono Arifin, Yulyani Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350383829

Applications designed utilizing Microservices Architecture (MSA) provide the desirable trait of good maintainability. To ensure optimal maintainability, it is important to provide services that are suitable and adhere to prescribed rules. Multiple aspects must be taken into account while designing services to ensure optimal maintainability. The objective of this study is to examine the elements that impact the capacity to sustain and improve maintainability in service design, ultimately resulting in an application that possesses strong maintainability. The Systematic Literature Review (SLR) will be utilized to identify variables and strategies for their enhancement, by examining pertinent publications on the subject. After examining 45 publications, the study discovered 8 elements and 14 solutions that can enhance the highlighted parameters throughout the services design process. The outcomes of this systematic literature review (SLR) are anticipated to give valuable insights to application developers, empowering them to generate service designs that exhibit commendable maintainability for the developed applications. © 2023 IEEE.

关键词： Maintainability

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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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Prediction Diabetes Mellitus Using Decision Tree Models

Prediction Diabetes Mellitus Using Decision Tree Models

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Sunge, Aswan Supriyadi Warnar, Harco Leslie Hendric S. Heryadi, Yaya Abdurachman, Edi Soewito, Benfano Gaol, Ford Lumban BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728158624

Health is an essential thing in human life, but Indonesian people are still far from the word healthy lifestyle. One disease that can be caused by an unhealthy lifestyle is diabetes mellitus that can cause many deaths. So far, there are many data in the hospital, but the data can not be maximized well even if it can be used to predict diabetes. The need for accuracy to produce better results. In conducting this test, the results obtained using C 4.5 only algorithm is 72.08%. © 2019 IEEE.

关键词： Data mining

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A Fuzzy-based Simple Smart Decision Model for Assessing Information Security Risk in Public Sector Organization 10

A Fuzzy-based Simple Smart Decision Model for Assessing Info...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Religia, Ayu Artaparamita Utama, Ditdit Nugeraha BINUS Graduate Program Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

The measurement of information security risk in a public sector organization is of utmost importance. This measurement serves the purpose of taking appropriate actions in response to potential risks or damaging incidents. The objective of this study is to develop a straightforward yet smart decision model capable of evaluating risks, particularly within the public sector organization. The decision support modelling (DSM) concept is employed as a framework to construct a computer model that supports decision-making in a specific case. The study comprises five stages, which are integral parts of the DSM process. These stages include analyzing the case, examining relevant documents, designing the model, constructing the model, and evaluating the finalized model. The object-oriented method serves as a fundamental approach to model design. Additionally, the fuzzy logic method, an intelligent computational technique, plays a central role in the development of this decision model. The proposed model demonstrates an average error value of 0.05 when compared to the actual risk measurement conducted. Furthermore, it reveals average risk values of 0.59 and 0.45 for the pre-and post-remediation scenarios, respectively. © 2023 IEEE.

关键词： Risk assessment

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Decision support system using data warehouse for hotel reservation system

Decision support system using data warehouse for hotel reser...

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2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017

作者： Girsang, Abba Suganda Satya, Danang Isa, Sani Muhamad Fariz, Salman Al Susilo, Bambang Ramdani, Dudi Maxlian Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538621820

As a big hotel which has many branches in Indonesia, a hotel should need the express report for business development in order to take decision. This paper proposes data warehouse for supporting business in XYZ hotel to get better information about customers data of each branches for taking decision. The data warehouse development consists nine step methodology designed by Kimball and Ross. Furthermore, the data is able to be presented in dashboard or report corresponding to the user to simplify the data presentation, The data warehouse is used to integrate the data sources needed to provide quick and accurate information. © 2017 IEEE.

关键词： Decision support systems

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