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

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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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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Counting number of points for acne vulgaris using UV fluorescence and image processing

Counting number of points for acne vulgaris using UV fluores...

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4th Biomedical Engineering International Conference, BMEiCON-2011

作者： Khongsuwan, Manita Kiattisin, Supaporn Wongseree, Waranyu Leelasantitham, Adisorn Technology of Information System Management Program Faculty of Engineering Mahidol University 25/25 Puttamonthon Nakorn Pathom 73170 Thailand

ISBN: (纸本)9781457721908

This paper presents counting number of points for the *** vulgaris using UV Fluorescence and image processing. This proposed method uses a process of image processing as follows. Cropping a UV image is to select a region of interest and, then the cropped image is resized for a suitable size and it (or the color image) is converted to a gray image. Quality of this gray image will be improved for image enhancement using adaptive histogram equalization. Finally, extended maxima transform, i.e. the regional maxima of the H-maxima transform, is used for counting number of the *** points. The experimental results show that the accuracy, sensitivity and precision are approximately at 83.75%, 98.22% and 85.04%, respectively. It saves time to analysis of the acne points. © 2011 IEEE.

关键词： Image enhancement

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Counting number of sweat glands using image processing

Counting number of sweat glands using image processing

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4th Biomedical Engineering International Conference, BMEiCON-2011

作者： Pakkaselevat, Narutchai Kiattisin, Supaporn Wongseree, Waranyu Leelasantitham, Adisorn Technology of Information System Management Program Faculty of Engineering Mahidol University 25/25 Puttamonthon Nakorn Pathom 73170 Thailand

ISBN: (纸本)9781457721908

This paper presents counting number of the sweat glands using image processing. This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. It saves time to analysis of the sweat glands. © 2011 IEEE.

关键词： Image enhancement

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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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Document representation methods for clustering bilingual documents

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Proceedings of the Association for information Science and technology 2016年第1期53卷 1-10页

作者： Ma, Shutian Zhang, Chengzhi He, Daqing Department of Information Management Nanjing University of Science and Technology No. 200 Xiaolingwei Street Nanjing China School of Information Science and Intelligent System Program University of Pittsburgh 135 North Bellefield Avenue PittsburghPA15260 United States

Globalization places people in a multilingual environment. There is a growing number of users to access and share information in several languages for public or private purpose. In order to deliver relevant information in different languages, efficient multilingual documents management is worthy of study. Generally, classification and clustering are two typical methods for documents management. However, lack of training data and high efforts for corpus annotation will increase the cost for classifying multilingual documents which needs to bridge language gaps as well. Clustering is more suitable to implement in such practical applications. There are two main factors involved in documents clustering, document representation method and clustering algorithm. In this paper, we focus on document representation method and demonstrate that the choice of representation methods has impacts on quality of clustering results. In our experiment, we use parallel corpora (English-Chinese documents on topic of technology information) and comparable corpora (English and Chinese documents on topics of mobile technology and wind energy) as dataset. We compare four different types of document representation methods: Vector Space Model, Latent Semantic Indexing, Latent Dirichlet Allocation and Doc2Vec. Experimental results show that, accuracy of Vector Space Model were not competitive with other methods in all clustering tasks. Latent Semantic Indexing is overly sensitive to corpora itself, for it behaved differently when clustering two different topics of comparable corpora. Latent Dirichlet Allocation behaves best when clustering documents in small size of comparable corpora while Doc2Vec behaves best for large documents set of parallel corpora. Accordingly, characteristics of corpora should be under considerations for rational utilization of document representation methods to have better performance. Copyright © 2016 by Association for information Science and technology

关键词： Digital libraries

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Linkedin's Influence on User Success in The Professional World 9

Linkedin's Influence on User Success in The Professional Wor...

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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Oktavia, Tanty Roekman, Faza Fakhriansyah Putera, Muhammad Ikhsan Hidayah, Muhammad Alif Rafi, Muhammad Hosoda, Takaaki Gaol, Ford Lumban BINUS Graduate Program Information System Management Bina Nusantara University Information System Management Department Jakarta Indonesia School of Information Systems Bina Nusantara University Information System Department Jakarta Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan BINUS Graduate Program Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Social media has now become a place for others to exchange information in the form of writing, photos, videos, and audio. Social media has become a place for humans to interact from all over the world. In the use of social media, attractive professional information is conceptualized as access to relevant information and opening up better career opportunities. User content about work and choosing personal information compilation strategies consistently predict information usefulness. This study discusses the effect of using a linked-in application on the success of its users in the professional world. It is hoped that it can provide insight into the use of this recruitment application, making it easier for users to find work. The research model used in this research is quantitative. The survey was conducted on connected users in Indonesia using an online questionnaire, and the data collected was analyzed using PLS-SEM. Of the 68 respondents who took the survey, it can be said that all research models have a positive relationship with the successful use of the linked-in platform. © 2022 IEEE.

关键词： Surveys

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Accuracy Evaluation of A Diagnostic Test by Detecting Outliers and Influential Observations

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China Ocean Engineering 2008年第3期22卷 421-429页

作者： Hsien-Chueh Peter YANG Tsung-Hao CHEN Cheng-Wu CHEN Chen-Yuan CHEN Chun-Te LIU Department of Risk Management and Insurance National Knohsiung First University of Science and Technology Kaohsiung 811 China Department of Business Administration Shu-Te University Kaohsiung 82445 China Department of Logistics Management Shu-Te University Kaohsiung 82445 China Department of Management Information System Yung- Ta Institute of Technology and Commerce Pingtung 90941 China Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung 811 China

Logit regression analysis is widely applied in scientific studies and laboratory experiments, where skewed observations on a data set are often encountered. A number of problems with this method, for example, oudiers and influential observations, can cause overdispersion when a model is fitted. In this study a systematic statistical approach, including the plotting of several indices is used to diagnose the lack-of-fit of a logistic regression model. The outliers and influential observations on data from laboratory experiments are then detected. Specifically we take account of the interaction of an internal sohtary wave （ISW） with an obstacle, i.e., an underwater ridge, and also analyze the effects of the ridge height, the lower layer water depth, and the potential energy on the amplitude-based transmission rate of the ISW. As concluded, the goodness-of-fit of the revised logit regression model is better than that of the model without this approach.

关键词： diagnostic testing outliers influential observations internal solitary wave

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Envisioning the Future of Collaboration for Banking and FinTech Industry 5

Envisioning the Future of Collaboration for Banking and FinT...

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5th IEEE International Conference on Computer and Informatics Engineering, IC2IE 2022

作者： Legowo, Mercurius Broto Sorongan, Fangky Antoneous Subanidja, Steph Perbanas Institute Information System Study Program Faculty of Information Technology Jakarta Indonesia Perbanas Institute Accounting Study Program Faculty of Economic and Business Jakarta Indonesia Post Graduate School Perbanas Institute Master of Management Program Jakarta Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

This study aims to envision the future of banking and the FinTech industry collaboration by the triggers for change based on trends watching in current conditions. Envisioning is the ability to describe the impact of changes in the business environment caused by the various trigger changes observed in trend watching. The current conditions and the triggers of change based on trend-watching are issues and considerations in envisioning collaboration between banking and the Fintech industry. The research methodology uses a descriptive method with a qualitative approach. The study surveyed 100 respondents, each representing the banking and FinTech sectors, who understand the issues related to the collaboration of the two industries. In addition, to complement the survey data, this study also conducted Focus Group Discussions and In-depth Interviews as a qualitative approach. The study's results by analyzing current conditions and triggers of change based on trend watching will represent a picture of the future of banking and FinTech industry collaboration. This research will expect a significant contribution to government regulations/policies and a positive contribution and support on the IT/IS side, especially in applied technology and architecture/business models for collaboration in the future of collaboration banking and the FinTech Industry that follow. © 2022 IEEE.

关键词： Laws and legislation

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Model of Sustainable Development Based on FinTech in Financial and Banking Industry: A Mixed-Method Research 3

Model of Sustainable Development Based on FinTech in Financi...

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3rd International Conference on Computer and Informatics Engineering, IC2IE 2020

作者： Legowo, Mercurius Broto Subanidja, Steph Sorongan, Fanky Antoneus Information Technology Faculty Institute of Perbanas Information System Study Program Jakarta Indonesia Post Graduate School Institute of Perbanas Master of Management Program Jakarta Indonesia Economic and Business Faculty Institute of Perbanas Accounting Study Program Jakarta Indonesia

ISBN: (纸本)9781728182476

In the past decade, it stated that the discourse on Sustainable Development and the Financial technology(FinTech) role in the financial and banking industries, has attention on researchers, practitioners, regulators, and policymakers. The real problem arises from the discourse on whether FinTech has an effect on sustainable development in the financial and banking industry in Indonesia. This discourse needed to be understood better and more deeply. For credible research results, it is necessary to use a mixedmethod research approach. This research aims to develop a model that will help uncover the phenomenon of FinTech to sustainable development in the Financial and Banking Industry in Indonesia, using mixed methods research. In this study, Exploratory Sequential Mixed Method used as a type of mixedmethod approach. The main results of this study reveal that FinTech, which is influenced by business drivers, has a significant role in sustainable development in the Financial and Banking Industry in Indonesia. The contribution of this research can provide insight and understanding for researchers and practitioners in the financial and banking industry who want to implement a sustainable development model based on FinTech in more depth. © 2020 IEEE.

关键词： Sustainable development

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