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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Putri Ardyanti, Anak Agung Ayu Xie, Zhiqiang Karnyoto, Andrea Stevens Pardamean, Bens Estiyanti, Ni Made School of Computer Science and Technology Harbin University of Science and Technology Harbin150000 China Faculty of Information Technology and Design Primakara University Bali 80226 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia School of Management and Business University of Debrecen Debrecen Hungary

The industry is rapidly transitioning from the 4.0 era to the 5.0 era, prompting renewed interest among scholars in scheduling problems. They allow operations to process and assemble various components simultaneously. This bibliometric analysis provides a comprehensive understanding of the diverse research perspectives on the potential challenges of integrated scheduling within the framework. We identified 357 Scopus articles and analysed co-occurrence keyword (CNK) by VOSViewer tools and Global Citation Score (GCS) by Scopus tools. The research data obtained from 1993 to 2023 mainly in the subject areas of Engineering, Computer Science, Maths, and others. CNK identified six cluster keywords, and nine most cited articles based on normalised GCS. These results contribute to our understanding of the development of scheduling algorithms, shifting from an emphasis on manufacturing transfers to contemporary demand-centric research directions. Furthermore, this research provides a valuable perspective for policymakers, plant personnel, and manufacturing managers to make informed decisions. © 2025 The Authors. Published by Elsevier B.V.

关键词： Job shop scheduling

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Mapping the Scientific Landscape of Integrated Scheduling Towards Industry 5.0 with A Bibliometric Analysis

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Procedia Computer Science 2025年 253卷 84-93页

作者： Anak Agung Ayu Putri Ardyanti Zhiqiang Xie Andrea Stevens Karnyoto Bens Pardamean Ni Made Estiyanti School of Computer Science and Technology Harbin University of Science and Technology Harbin 150000 China Faculty of Information Technology and Design Primakara University Bali 80226 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Doctoral School of Management and Business University of Debrecen Debrecen Hungary

关键词： integrated scheduling assembly job shop scheduling heuristic algorithm genetic algorithm bibliometric analysis

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Classification machine learning with chromagram and word embedding feature

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AIP Conference Proceedings 2025年第1期3223卷

作者： Thoyyibah Ines Heidiani Ikasari Perani Rosyani Wasis Haryono Sofa Sofiana Neny Rosmawarni Information Systems Management Department BINUS Graduate Program-Master of Information System Management Bina Nusantara University Jakarta Indonesia 11480 Information Technology University of Pamulang Banten South Tangerang Indonesia Faculty of Information Technology Veterans National Development University Jakarta Jakarta Indonesia

Indonesia is a country that is rich in artistic diversity. This art can be a song. In addition to traditional songs, Indonesia is rich in songs from various genres. Some of the genres used by the author are pop, ballad, dangdut. Song or music has become an interesting area of research in computer science. Music recognition is a computational problem in the field of computer vision. Music introduction aims to classify music into several categories such as genre, mood, or music generation. Although in the last ten years a number of studies have been published, the problem of music recognition is still a difficult problem to solve by computers. In addition, it is necessary to explore several features that represent music, including audio spectrograms, chromagrams, and song lyrics. The author processes the lyrics and audio features in the form of a chromagram using many songs. Music can be a collection of data that can be processed by machine learning. The data used for classification is song data in the form of datasets. The author uses his own dataset or manual methods in collecting and processing datasets. The song is downloaded from YouTube after that it is converted into mp3 and cut. The author processed 1181 songs from the 70’s and 80’s era which only took the chorus part. Lyrics in chorus form are saved in excel. The audio chorus is saved in .wav. The results of the Mood classification used by the author in music consist of 3, namely happy, sad and neutral which are processed using machine learning. Using 2 experiments on Chromagram and word embedding feature has a higher value of 81%.

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An approach to parameter optimizer for music mood classification in machine learning

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AIP Conference Proceedings 2025年第1期3223卷

作者： Nunik Destria Arianti T. Thoyyibah Achmad Udin Zailani Neny Rosmawarni Rinna Rachmatika Achmad Lutfi Fuadi Information System University of Nusaputra Sukabumi Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information System Management Bina Nusantara University Jakarta Indonesia 11480 Information Technology University of Pamulang Banten Indonesia Faculty of Information Technology Veterans National Development University Indonesia

Music is a blend of the human voice and instruments that bring beauty to the listener. Many people like music to create an atmosphere or atmosphere. In the field of computer science, with a lot of data, music is an object that can be studied both through lyrics, audio, biographies and others. This research focuses on the mood of Indonesian music in the 70s and 80s. The data set used consists of text data and audio data. The mood tested consisted of sad, happy and neutral. This area of interest was investigated using the Crisp-DM method derived from business understanding, data understanding, data preparation, modelling, evaluation, deployment. In building the Confusion Matrix, this study uses several parameters, namely epoch, dimensions, set size, learning rate and others. The value generated by the confusion matrix contains a good 85 % value.

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Reproducing ATT&CK Techniques and Lifecycles to Train Machine Learning Classifier

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IEEE Network 2025年

作者： Yudha, Fietyata Lin, Ying-Dar Lai, Yuan-Cheng Sudyana, Didik Hwang, Ren-Hung EECS International Graduate Program National Yang Ming Chiao Tung University Hsinchu City300 Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu City300 Taiwan The Department of Information Management National Taiwan University of Science and Technology Tapei106 Taiwan The Computer and Network Center National Cheng Kung University Tainan701 Taiwan The College of Artificial Intelligence National Yang Ming Chiao Tung University Tainan711 Taiwan

he MITRE ATT&CK framework categorizes threat actor behaviors into a sequence of techniques called the attack lifecycle. Based on this, Our work introduces a dual-labeled dataset that is accurately labeled with distinct techniques and lifecycles defined by ATT&CK. The dataset offered a more thorough perspective than previous datasets that employed binary or attack classification. It encompassed 17 distinct techniques throughout five lifecycles and was generated through an automated method that guarantees reproducibility and learnability. Reproducibility guarantees the dataset’s consistency, whereas learnability signifies its use in training machine learning models. Our analysis produced a positive result. The dataset achieved a Pearson correlation coefficient of 0.7 for reproducibility. Regarding distinguishing classes, it exhibits an average AUC-ROC score of 0.92 for techniques and 0.82 for lifecycles. The model training yielded an average F1 score of 0.95 for technique classification and 0.9 for lifecycle classification, but only for the traffic dataset. © 1986-2012 IEEE.

关键词： Adversarial machine learning

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Requirements development process of CMMI-DEV for evolutionary maintenance projects: A case study of implementation 32

Requirements development process of CMMI-DEV for evolutionar...

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32nd International Conference on Computers and Their Applications, CATA 2017

作者： Dos Lima, Aline F. Costa, Thiago S.A. Oliveira, Sandro R.B. Melo, Pamella B. Rodrigues, Juan P. P. Graduate Program in Computer Science Federal University of Pará Belém Pará Brazil Graduate Program in Information Technology Management Ideal College - Devry Belém Pará Brazil

ISBN: (纸本)9781943436064

The importance of adopting the evolutionary maintenance is becoming increasingly long life of a software without it losing its quality and its functionalities, however performing evolutionary maintenance of legacy systems is not always an easy task, considering that these systems often have incomplete and inconsistent documentation or even that was lost over time. We want to understand what software process assets can help in the implementation of requirements development practices in evolutionary maintenance in adherence to CMMI-DEV model, how these assets can be used by requirements team and how this team evaluate this application. This paper aims to present an implementation approach of the RD (Requirements Development) process area of CMMI-DEV (Capability Maturity Model Integration for Development) in the Brazilian company, called Vibe Desenvolvimento, for evolutionary maintenance projects with data collection from reverse engineering, and perform the adherence analysis of the model implemented in relation to the process area studied, through the application of questionnaires to Requirements Analyst team of this company, and the analysis of the work products generated in each specific practice of RD process area. © ISCA, CATA 2017.

关键词： Legacy systems

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Quality Analysis the E-PASTI System to Determine the Condition of the System and information Quality

Quality Analysis the E-PASTI System to Determine the Conditi...

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2019 International Conference of Science and information technology in Smart Administration, ICSINTeSA 2019

作者： Nugraha, Bayu Marleny, Finki Dona Sfenrianto, Sfenrianto Edwina, Cinthya Information System Program Faculty of Science and Technology Sari Mulia University South Kalimantan Banjarmasin Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

The purpose of this study is to evaluate the quality of secretarial, financial and staffing information systems at the Directorate General of AHU, known as the E-PASTI system. There are two variables analysed, namely system quality and information quality. Data collection using questionnaires that distributed to 123 employees who used the E-PASTI system but returned 93 questionnaires. Data quality analyst uses descriptive quantitative method. The results of the study are several conditions related to the system and information quality of E-PASTI. The quality can be a reference for the AHU Directorate General to improve the quality of E-PASTI that suits the needs of employees. © Published under licence by IOP Publishing Ltd.

关键词： Personnel

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Cascade of genetic algorithm and decision tree for cancer classification on gene expression data

Cascade of genetic algorithm and decision tree for cancer cl...

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37th International Conference on Computers and Industrial Engineering 2007

作者： Yeh, Jinn-Yi Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department and Graduate Program of BioIndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)9781627486811

Cancer classification through gene expression data analysis has emerged as an active area of research recently. Gene expression is the process of transcribing a gene's DNA sequence into RNA. A gene's expression level indicates the approximate number of copies of that gene's RNA produced in a cell. This is thought to correlate with the amount of the corresponding protein made. The expression of a gene provides a measure of activity of a gene under certain biochemical conditions. For example, cancers are usually reflected in the change of the expression values of certain genes. Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. This implies that we must deal with a huge number of irrelevant genes. An efficient algorithm is required to reduce the computational overhead. The other challenge is from the presence of noise inherent in the data set. It makes accurate classification of data more difficult when the sample size is small. This paper applies genetic algorithms (GA) for selecting a group of relevant genes from cancer microarray data. Then the decision tree based cancer classifier is built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods (e.g., t-statistics, GS method, and information gain) using the publicly available gene expression data set such as Colon, Leukemia, Lymphoma, Lung and central nervous system (CNS). Experimental results indicate that the cascade of GA and decision tree has the highest accuracy rate among different methods.

关键词： Genetic algorithms

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Factors of Web Design, Application Design and Service Quality on Satisfaction of E-Billing Users in Indonesia 6

Factors of Web Design, Application Design and Service Qualit...

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6th International Conference on Orange Technologies, ICOT 2018

作者： Zulita, Leni Natalia Abiyyu, Fawwaz K. Bachtiar, Sariful Susena, Karona Cahya Sfenrianto, Sfenrianto Kaburuan, Emil R. Department of Information Technology Dehasen University Bengkulu Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia Department of Management Dehasen University Bengkulu Indonesia

ISBN: (纸本)9781538673195

with the development of digital technology online payments can be made for various purposes. At present, the Indonesian tax directorate general has implemented an E-billing system that can be used by the public to make tax payments online. E-billing is available in the form of web-based and mobile applications in order to facilitate the public in making payments. However, in reality, there are still many people who prefer to use traditional methods of paying taxes. Initial allegations, these problems relate to web design factors, design applications, and website quality from the E-billing system. This paper examines the factors that relate to people's satisfaction with the decision to use the E-billing system. © 2018 IEEE.

关键词： Web Design

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Plasmonic excitations in graphene layers

arXiv

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arXiv 2025年

作者： Martín-Luna, Pablo Bonatto, Alexandre Bontoiu, Cristian Lei, Bifeng Xia, Guoxing Resta-López, Javier Universitat de València - Consejo Superior de Investigaciones Científicas Paterna46980 Spain Graduate Program in Information Technology and Healthcare Management The Beam Physics Group Federal University of Health Sciences of Porto Alegre RS Porto Alegre90050-170 Brazil Department of Physics The University of Liverpool LiverpoolL69 3BX United Kingdom The Cockcroft Institute Sci-Tech Daresbury WarringtonWA4 4AD United Kingdom Department of Physics and Astronomy The University of Manchester ManchesterM13 9PL United Kingdom Universidad de Valencia Valencia46071 Spain

The interaction of fast charged particles with graphene layers can generate electromagnetic modes. This wake effect has been recently proposed for short-wavelength, high-gradient particle acceleration and for obtaining brilliant radiation sources. In this study, the excitation of wakefields produced by a point-like charged particle moving parallel to a multilayer graphene array (which may be supported by an insulated substrate) is studied using the linearized hydrodynamic theory. General expressions for the excited longitudinal and transverse wakefields have been derived. The dependencies of the wakefields on the positions of the layers and the substrate, the velocity and the surface density have been extensively analyzed. This study provides a deeper understanding of the physical phenomena underlying plasmonic excitations in graphene layers, paving the way for potential applications of these structures in particle acceleration, nanotechnology and materials science. © 2025, CC BY-NC-ND.

关键词： Plasmons

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