1 10 6 https://repository.horizon.ac.id/files/original/bdc2a1ba5562a830e9a8738510c3d1ec.pdf a567094ba1e795460e4a8510f6b1c81d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 4 NO 2 SEPTEMBER 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparison of Digital Reading Behaviors Among Graduate Students in Taiwan and The USA Subject The topic of the resource Digital reading; User studies; Pierre Bourdieu Description An account of the resource This is a comparative study on digital reading behaviors between students in Graduate Institute of Library and Information Studies (GLIS) in National Taiwan Normal University and School of Information Studies (SOIS) in University of Wisconsin-Milwaukee. By making a connection between their habits and various forms of capital that may shape their reading behaviors, this study adopts a qualitative approach to focus on the four key concepts of Bourdieu’s practice theory: habitus, economic capital, cultural capital, and social capital to analyze the factors that influence digital-reading behaviors. The results indicate that the graduate students' digital reading behavior is influenced mostly by their family, school and library. Graduate students like to use electronic resources (online database and the Internet) to conduct academic research and still prefer print textbooks. When comes to digital reading, in GLIS, students with more than two digital reading devices tend to get free digital contents from various sources. However, in SOIS, students with more than one digital reading service tend to purchase digital contents from the Internet. Graduate students’ reading behaviours might be influenced by their economic capital. Creator An entity primarily responsible for making the resource Suyu Lin 1,*, Chia-Hsiang Chen 2, Hao-Ren Ke Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/5503cb1cf35d33bdda132cc8d7a59b82.pdf c11b0146ba6355297a2df4879abe6063 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 4 NO 2 SEPTEMBER 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Data Mining Practical Approach to Inventory Management and Logistics Optimization Subject The topic of the resource Data Mining; Logistics Optimization; Inventory Management Description An account of the resource The latent demand to optimize costs and customer service has been fostered in the current economic situations, characterized by high competitiveness and disruption in supply chains, placing inventories as a vital sector with significant potential to implement improvements in firms. Inventory management that is done correctly has a favorable impact on logistics performance indexes. Warehousing operations account for around 15% of logistics expenditures in terms of dollars. This article employs a method based on the Partitioning Around Medoids algorithm that incorporates, in a novel way, the application of a strategy for locating the optimal picking point based on cluster classification, taking into account the qualitative and quantitative factors that have the greatest impact or priority on inventory management in the company. The results obtained with this model improve the routes of distributed materials based on the identification of their characteristics such as the frequency of collection and handling of materials, allowing for the reorganization and expansion of storage capacity of the various SKUs, moving from a classification by families to a cluster classification. This article shows a suggestion for a warehouse distribution design using data mining techniques, which uses indicators and key qualities for operational success for a case study in a corporation, as well as an approach to improve inventory management decision-making. Creator An entity primarily responsible for making the resource Bambang Pujiarto 1,*, Mukhtar Hanafi 2, Arief Setyawan 3, Asti Nur Imani 4, Eky Rizky Prasetya Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLIST Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/9076e8c72e1debc572ccaa7116d6f43d.pdf 2cbebf622b138c64776f2a3bb5a382b3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 4 NO 2 SEPTEMBER 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Analysis Of Internal Factors Affecting Bank Probability: Evidence From Listed Banks On Vietnam Stock Market Creator An entity primarily responsible for making the resource Chi Dieu Thi Nguyen Source A related resource from which the described resource is derived https://www.researchgate.net/publication/356636341 Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource SEPTEMBER Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/7dc3fddd1bb91c5609dc0af1e148ee4b.pdf 024d56bf38ad02990e6b019754e1b065 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 4 NO 2 SEPTEMBER 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Implementation of Knowledge Management in Different Industries Subject The topic of the resource Knowledge Management; Consumer Knowledge Management; Industries; Description An account of the resource Customer knowledge is a valuable asset, and gathering, managing, and sharing customer knowledge can be a useful competitive activity for organizations. Successful knowledge partnerships with essential and valuable customers can strengthen business performance and create an absolute competitive advantage that is difficult for competitors to emulate. In consumer knowledge management, companies often experience significant obstacles or constraints so that sometimes many companies prevent them from managing consumer knowledge. The company or organization depends on consumers who do not need to understand the industrial field of the company or organization. This paper discusses the comparison of the application of customer knowledge management in various industries. Research findings that all organizations must apply the three essential components of customer-related knowledge within the underlying conceptual framework. Three basic components of customer-related knowledge within a basic conceptual framework: knowledge for customers, knowledge of customers, and customer knowledge, cannot be eliminated. This proves the compatibility with previous studies. In fact, to succeed, they must be applied so that it is of value to the company. Implementation of the framework can present a great opportunity for the organization or company to make new products so that this will improve the performance of the company or organization and maintain the continuity of the company or organization. Creator An entity primarily responsible for making the resource Mukhtar Hanafi 1,*, Andi Widiyanto 2, Nuryanto 3, Hafidz Fahrizal Rahman 4, Mohammad Rahardian Adhitama Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/8826c980ad1a25b63adde6b2865b28c9.pdf 5153db6640e22407146dd2dd6de652ab Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 4 NO 2 SEPTEMBER 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Implementing Machine Learning Techniques for Predicting Student Performance in an E-Learning Environment Subject The topic of the resource E-Learning, Data Mining, Machine Learning, Student Performance Description An account of the resource The way people learn has been affected by the COVID-19 pandemic, resulting in a shift from traditional classroom-based learning to online learning. As a result, educational institutions have a new opportunity to use relevant data to predict student performance, which can help improve teaching and learning processes and adjust course curriculum. Universities can leverage machine learning technology to forecast student performance, enabling them to make necessary changes to lecture delivery and curriculum. A study examined open university educational data, using demographic, engagement, and performance metrics to predict student performance with machine learning techniques. The study found that the k-NN strategy outperformed all other algorithms in some cases, while the ANN approach performed better in others. Creator An entity primarily responsible for making the resource Adi Suryaputra Paramita 1,*, Laura Mahendratta Tjahjono Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/33d62ff68c03410d3b5939619abdcdc1.pdf 0303fa9f00618e5975b2711d89f4509c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 4 NO 2 SEPTEMBER 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Effect of E-Learning as One of the Information Technology-Based Learning Media on Student Learning Motivation Subject The topic of the resource Learning Media; E-Learning; Learning Motivation Description An account of the resource E-learning is pervasive in higher education, serving as a handy training option in today's hectic culture. Despite being a widespread phenomenon in both study and practice, e-learning is still far from being utilized successfully in any setting. This is due to a lack of study of the learners' point of view as well as insufficient thinking on the ramifications for the teachers. The first part of this research is a survey of university students' opinions and experiences with e-learning. The findings are both unexpected and expected: first, despite seeing e-learning as a promising future trend, students are still unsure of what it means and have only a limited understanding of its capabilities. Second, despite widespread adoption, there is still a sizable minority of students who have never used e-learning and are uninterested in doing so. Third, while e-learning appears to have more benefits than drawbacks, there are still many areas where it may be improved to make it truly effective. We offer some managerial implications for instructors and educational organizations based on these findings. Creator An entity primarily responsible for making the resource Andi Widiyanto 1,*, Nugroho Agung Prabowo 2, Nuryanto 3, Mochammad Ircham Nashif Amarullah 4, Arsyad Soni Nuruzzaman Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT