Browsing by Author "Siregar M."
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Publication Big data emerging technology: Insights into innovative environment for online learning resources(Kassel University Press GmbH, 2018) ;Huda M. ;Maseleno A. ;Atmotiyoso P. ;Siregar M. ;Ahmad R. ;Jasmi K.A. ;Muhamad N.H.N. ;Mustari M.I. ;Basiron B. ;Universiti Teknologi Malaysia (UTM) ;Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Pringsewu ;Universitas Sarjanawiyata Taman Siswa ;Universitas Islam Negeri Sunan KalijagaUniversiti Sains Islam Malaysia (USIM)Attempts to adopt the network data massively from the social media refer to provide the particular means in extracting the value from information space such as message, conversation, transaction and others, where the sources of structured data come from enterprise resources data and sources of unstructured data come from audio and video. It can be achieved to expand the process of extracting the value from social network to pattern the data sources to fulfil the organisation goal. This paper aims to reveal the way of big data approach in extracting data value from data complexity involving variety and velocity into the volume. This study was conducted using contents analysis by reviewing some literatures in peer-reviewed journals, chapters, books and proceedings in developing prototype using data analytics associated from the topic, users and time analytics. The findings reveal that big data emerging technology with analytic process provides particular advantages to transform the pattern of information fitted into the innovative environment of online learning resources (OLR) to enhance in developing the learning resources. Both prototype and model of data extraction value could be enhanced to facilitate the learning environment in supporting implementations with ease and convenience. This study is expected to contribute to improve the learning environment and outcomes with performance and achievement by enhancing students' learning process development to provide online resources in higher education context. - Some of the metrics are blocked by yourconsent settings
Publication Combining the previous measure of evidence to educational entrance examination(Asian Network for Scientific Information, 2017) ;Maseleno A. ;Huda M. ;Siregar M. ;Ahmad R. ;Hehsan A. ;Haron Z. ;Ripin M.N. ;Ihwani S.S. ;Jasmi K.A. ;Faculty of Leadership and Management ;Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Pringsewu ;Universiti Teknologi Malaysia (UTM) ;Universitas Islam Negeri Sunan KalijagaUniversiti Sains Islam Malaysia (USIM)Background and Objective: Educational entrance examination refers to the extent in selecting the student to enroll through admission into educational institution. It has an entire procedure administered to achieve from primary to higher education. However, not many researches were conducted using mathematical theory of evidence. This study aims to investigate the examination process about the admission into educational institutions using mathematical theory of evidence. Materials and Methods: The assessment on student's entrance examination through the effectiveness of Dempster-Shafer theory can be viewed with its significant contribution by combining the previous measure of evidence. Eight student's entrance examination results were proposed. Results: The result reveals that there were some significant findings in assessing the student's entrance examination using mathematical theory of evidence. Those were obtained degrees of belief of Computer Science with 76.4% for student 1, Computer Science with 64.2% for student 2, Computer Science with 75.4% for student 3, Computer Science with 80.3% for student 4, Computer Science with 67.4% for student 5, Computer Science with 57.1% for student 6, Islamic Studies with 26.3% for student 7, Computer Science with 62.5% for student 8. Conclusion: In this research, mathematical theory of evidence has been successfully developed to assess student's entrance examination and displaying the result of identification process. � 2017 Andino Maseleno et al.