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SISTEM PENDUKUNG KEPUTUSAN PADA SELEKSI PENERIMAAN SISWA SEKOLAH MENENGAH KEJURUAN Dea Trisna Ananda; Astria Hijriani; Febi Eka Febriansyah
Jurnal Komputasi Vol. 4 No. 1 (2016)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i1.1161

Abstract

Every educational institution of Vocational High School periodically carries out the admission of new students. With the existence of Decision Support System is expected to assist schools in selecting new students. There are various methods in constructing a DSS and one of them is the method of AHP. AHP is one of DSS method that can handle the multi criteria selection. By using the result of DSS with AHP method as sample data and find the biggest criteria factor in a selection. The result of this study indicates that AHP method can be implemented in information system of new students admission and it can help to make decisions in the placement of departments based on the ability of students and the selected department.Keywords: Analytical Hierarchy Process (AHP), Decision Support System (DSS)
APLIKASI GAME EDUKASI AKSARA MATCHING BERBASIS ANDROID MENGGUNAKAN UNITY3D Rian Oseady Prahastito; Didik Kurniawan; Astria Hijriani
Jurnal Komputasi Vol. 4 No. 1 (2016)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i1.1172

Abstract

The development of educational game is motivated by low interest and desire of people to learn Aksara Lampung, therefore, in this case is required a learning system which is attractive and pleasant so it can attract people to keep follow the development of existing technologies, one of which is a learning system by using media of educational game. This research used eXtreme Programming (EX) method and was designed by using Unified Modeling Language (UML). This application tested by using Black Box Testing method with the approach of Equivalence Partitioning (EP) and the calculation of Likert Scale. On the other side, based on the results obtained from the questionnaire, this application is user friendly application (with an average value of 77% / Excellent).