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Academic Decision Support System for Choosing Information Systems Sub Majors Programs using Decision Tree Algorithm Cut Fiarni; Evasaria M. Sipayung; Prischilia B.T. Tumundo
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1400.062 KB) | DOI: 10.20473/jisebi.5.1.57-66

Abstract

Background: Educational data mining is an emerging trend, especially in today Big Data Era. Numerous method and technique already been implemented in order  to improve its process to gain better understanding of the educational process and to extract knowledge from various related data, but the implementation of these methods into Decision support system (DSS) application still limited, especially regarding help to choose university sub majors .Objective: To design an academic decision support system (DSS) by adopting Theory of Reasoned Action (TRA) concept and using Data Mining as a factor analytic apporach to extract rules for its knowledge model.Methods: We implemented factor analysis method and decision tree method  of C.45 to produce rules of the impact course of the sub- majors and the job interest as the basic rules of the DSS.Results: The proposed academic decision support system able to give sub majors recommendations in accordance with student interest and competence, with 79.03% of precision and 61.11% of recall. Moreover, the system also has a dashboard feature that shows the information about the statistic of students in each sub majors.Conclusion: C.45 algorithm and factor analysis are suitable to build a knowledge model for Academic Decision Support System for Choosing Information System Sub Majors Bachelor Programs. This system could also help the academic adviser on monitoring and make decision accordance with that academic information
Perancangan Sistem Informasi Helpdesk Menggunakan Framework ITIL V3 Evasaria M. Sipayung; Cut Fiarni; Ernest Aditya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1820.454 KB)

Abstract

In order to improve and to ensure the availability of information technology (IT) services quality, many organizations now have a helpdesk which acts as a center point in solving and organizing problems. However, in the planning and implementation of Information Systems Service Helpdesk, it is necessary to do a thorough analysis of the framework of the Information Technology Service Management (ITSM) that is appropriate and in accordance with the needs of organizations, that is also capable of providing the function of knowledge management. It is because each type of organization has different needs and Standard Operation Procedure in providing IT services. The purpose of this study is to analyze the right ITSM framework in developing Helpdesk Information System in PT Len Industri (Persero), which is one of State-Owned Enterprises (SOEs). Helpdesk services provide repairs of hardware, software, and network. Previously, informations about problems and the handling are not complete, and the information storing is unstructured. This causes difficulties in monitoring and evaluation activities conducted by helpdesk admin and manager of Information Systems. To solve this problem, a system is designed using ITSM best practices standard from the Information Technology Infrastructure Library version 3. The system is designed to perform the classification to every problem. Classifications are made into several level of priorities which correspond with profile matching method, according to position and division within the PT Len Industri (Persero)’s value chain. The developed dashboard has been able to support the helpdesk results evaluation process. To ensure the usability of the system, a user acceptance test is conducted with the standard of Unified Theory of Acceptance and Use of Technology. The system obtains overall score of 88,89% in the user interface aspect and 83,715% in the functional requirement of information system aspect.