1 10 5 https://repository.horizon.ac.id/files/original/ed74f22360fb806850a1ad3a6096e9aa.pdf 3f76afc985911954c5f40aad3147e904 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 5 NO 2 MARCH 2022 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 Role of Knowledge Management in Raising the Saudi Universities Performance Efficiency: An Applied Study on the Administrative Body of King Abdulaziz University Subject The topic of the resource Knowledge Management; King Abdulaziz University; Performance Efficiency; Administrative Body Description An account of the resource This study aimed at identifying the role of knowledge management in raising the efficiency of the performance of the administrative body at King Abdulaziz University. In light of this goal, a number of hypotheses were developed and tested by preparing a questionnaire comprising two variables, namely knowledge management (information technology, organizational culture, organizational structure) and the performance of the administrative body (personal elements, performance elements, knowledge of job requirements). This study was conducted at King Abdulaziz University. The necessary information was obtained through the questionnaire tool prepared for this purpose. Data were collected from 304 individuals of the administrative body of King Abdulaziz University. The results were analyzed using correlation and regression analyzes of the SPSS program. The snowball sample method was relied upon, and the link was sent to a number of the administrative body with a recommendation for them to distribute it among their university colleagues. In light of this, 315 responses were obtained, 11 responses were excluded because they were not valid. Consequently, the responses valid for analysis were 304 questionnaires. Then the student concluded with a set of recommendations related to the research variables. Creator An entity primarily responsible for making the resource Maher Saif Alsharyofi * Date A point or period of time associated with an event in the lifecycle of the resource 2022 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/2cbaf506920a66509a361b102c95fdbd.pdf 9053e8ce3224c5a00aa53c3cd700e73d 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 5 NO 2 MARCH 2022 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 Customer Acceptance Analysis of Islamic Bank of Indonesia Mobile Banking Using Technology Acceptance Model (TAM) Subject The topic of the resource Acceptance Analysis; Islamic Bank; Mobile Banking; SEM; Technology Adoption Description An account of the resource This takes a look at goals to observe the elements that affect clients in the use of BSI`s cellular baking service. These elements are visible from perceived ease of use the software, the perceived usefulness through clients, and the safety supplied on attitudes and intentions in the use of cellular banking applications. The facts became received from a survey that became dispensed to 183 BSI clients with numerous financial and academic levels. The data have been analyzed with the use of Structural Equation Modeling (SEM) with AMOS software. So that effective consequences are received with a full-size impact of the perceived ease and advantages of the use of the BSI cellular banking software at the attitudes and intentions proven through clients. In addition, in phrases of security, it additionally has an effective impact on attitudes in adopting BSI mobile banking. However, the work environment, buddies, and administrative center doesn't have any full-size impact on the advantages of BSI mobile banking. Creator An entity primarily responsible for making the resource Raju Wandira 1,*, Ahmad Fauzi 2, Fauzan Azim 3, Firdaus Annas Date A point or period of time associated with an event in the lifecycle of the resource 2022 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/93dbea5a0528cf6e38f7ba023c984319.pdf ca636bedb2bf53c950c222dcbbc23c52 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 5 NO 2 MARCH 2022 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 Naive Bayes Algorithm in Predicting the Spread of the Omicron Variant of Covid-19 in Indonesia: Implementation and Analysis Subject The topic of the resource Covid-19; Naive Bayes; Machine Learning; Data Mining Description An account of the resource Indonesia was struck by an epidemic of the corona virus in the start of March 2020, according to official reports (covid). Indonesia continues to see a rise in the number of cases of covid-19 spreading on a daily basis. The general people are urged to engage in social distancing in order to disrupt the development of COVID-19, which has spread across Indonesia's numerous areas. For this reason, this research was undertaken as a preemptive step against the Covid-19 pandemic by estimating the extent of the Omicron variety of Covid-19's spread around the world, with a particular emphasis on Indonesia. The research methodologies employed in this study were problem analysis and literature review, as well as data gathering and execution. The Naive Bayes technique is thought to be capable of estimating the degree of COVID-19 dissemination in Indonesia. The results of the Naive Bayes method classification study revealed that 16 data from 33 data tested for Covid-19 cases per province were correctly classified with an accuracy of 46.4252 percent, while 16 data from 33 data tested for Covid-19 cases per province were misclassified with an accuracy of 46.4252 percent. Creator An entity primarily responsible for making the resource Jeffri Prayitno Bangkit Saputra 1,*, Racidon P. Bernarte Date A point or period of time associated with an event in the lifecycle of the resource 2022 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/5ea234372cffced9f2f77d8bde0923b2.pdf 7b3167875fea69e539c5e91455537a5e 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 5 NO 2 MARCH 2022 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 the Jaccard Similarity Algorithm on Answer Type Description Subject The topic of the resource Text Mining; Problem Description; Jaccard Similarity; Data Preprocessing Description An account of the resource This study aims to measure the similarity of the answers to the description by using alternative answers as reference answers provided by the lecturer with a view to overcoming the diversity of student answers. This research focuses more on Indonesian language questions and answers by combining the jaccard similarity algorithm and keyword similarity. The results obtained indicate that by adding alternative reference answers, it can increase the correlation value to 0.78% and reduce MAE to 0.55. Likewise, after combining the jaccard similarity algorithm and keyword similarity, the correlation value increased to 0.78% and MAE decreased to 0.49. Creator An entity primarily responsible for making the resource Riyanto 1,* and Abdul Azis Date A point or period of time associated with an event in the lifecycle of the resource 2022 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/44e1470ff769805bb59cc57b28d5c516.pdf d348f81a30a131095ab2febc47d38248 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 5 NO 2 MARCH 2022 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 Data Mining Integration with PostgreSQL Extension by K-Means, ID3 and 1R Method Subject The topic of the resource Data Mining Techniques; Database Management System; Partition; Response Time Description An account of the resource Data mining is a tool that allows users to quickly access large amounts of data. The purpose of this study was to analyze the integration of data mining technique algorithms into the PostgreSQL database management system. The method used in this research is K-Means, ID3 and 1R, the tools used to implement data mining using RapidMiner and PostgreSQL tools. In this study, the number of rows to be analyzed is 100,000 records, 500,000 records, and 1,000,000 records. The results obtained are the algorithm implemented to validate the data by using an experimental design that serves to observe the time that the analysis of the algorithm that has been integrated into the DBMS is smaller than the results from Rapidminer. As the number of records increases, data analysis becomes difficult using RapidMiner. Creator An entity primarily responsible for making the resource Tri Wahyuningsih 1,*, I Ketut Gunawan 2, Abdullah Dwi Srenggini 3, Henry Riyandi Date A point or period of time associated with an event in the lifecycle of the resource 2022 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