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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI)
Eka Miranda
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Computer Science & IT

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Data Mining As A Technique for Business Process Redesign in University Library Eka Miranda; Indrajani Indrajani
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Traditional library catalogs have become inefficient and inconvenient in assisting library users. Readers mayspend a lot of time searching library materials via printed catalogs. Readers need an intelligent and innovativesolution to overcome this problem. The paper seeks to examine data mining technology, which is a goodapproach to fulfill readers’ requirements. The purpose of this paper is to suggest the use of data mining (DM) asa technique to support the process of redesigning a business by extracting the much-needed knowledge hiddenin large volumes of data maintained by the organization through the DM models. Data mining is considered thenon-trivial extraction of implicit, previously unknown, and potentially useful information from data. This paperanalyzes readers’ borrowing records using the techniques of data analysis, building a data warehouse, and datamining. The paper finds that after mining data, readers can be classified into different groups according to thepublications in which they are interested. The data mining results shows that all readers can be categorized intothree clusters; each cluster has its own characteristics. This phenomenon shows that these readers have ahigher preference for accepting digitized publications.Keywords: Digital-libraries, Data-mining, Data-warehouse
DATA MINING AS A TECHNIQUE TO ANALYZE THE LEARNING STYLES OF STUDENTS IN USING THE LEARNING MANAGEMENT SYSTEM Eka Miranda
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2011
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Higher education is becoming a big business, with huge investments in IT technology supporting LearningManagement System (LMS). LMS is a software application which is used by student in learning process. Thepurpose of this paper is to analyze the use of LMS based on activities and results of student learning and seeksto address the interface between individual learning that use LMS data to support decision-making and coursedesign. A model of data warehouse is built to evaluate by means of a case study the usefulness validity ofanalyses performed. Data mining is considered the non-trivial extraction of implicit, previously unknown, andpotentially useful information from data. This paper analyzes students’ activities records using LMS thenbuilding a data warehouse, and data mining. The paper finds that after mining data, students can be classifiedinto different groups according to the activities using LMS. The data mining results shows that students can becategorized into four clusters; each cluster has its own characteristics. Integration of data warehouse, datamining and LMS produce a framework that uses transactional data to be transformed into knowledge that canbe used to maximize the teaching-learning process of lecturer and students.
Co-Authors Indrajani Indrajani