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All Journal TEKNIK INFORMATIKA CESS (Journal of Computer Engineering, System and Science) AL-ISHLAH: Jurnal Pendidikan Jurnal Nasional Komputasi dan Teknologi Informasi Krea-TIF: Jurnal Teknik Informatika Journal of Applied Engineering and Technological Science (JAETS) Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Elin Haerani
Universitas Islam Negeri Sultan Syarif Kasim Riau
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Journal : TEKNIK INFORMATIKA

 1 
PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KONSENTRASI BIDANG KEAHLIAN MAHASISWA DENGAN INTEREST INVENTORY Elin Haerani; Kasman Rukun; Fahmi Rizal
JURNAL TEKNIK INFORMATIKA Vol 13, No 1 (2020): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.916 KB) | DOI: 10.15408/jti.v13i1.15710

Abstract

Universities are designed to prepare graduates who are ready to enter the workforce and are able to develop a professional attitude. Educational institutions such as the University need a form of decisions in determining the right concentration for students, so that the learning process can be achieved well. The decision is very influential on the process of handling the choice of alternative concentration, choosing an appropriate concentration of interest will also have an impact on the research focus for the final assignment of students. This research develops student concentration selection system in Electrical. Currently the concentration determination system is based only on academic assessment alone, regardless of student interest, so that it can impact on student learning outcomes. The system was developed by combining academic judgment and interest inventory with three criteria, ie, interest tests using interest inventory, prerequisite concentration course grades, and GPA. The system is built using an intelligent system model that is Fuzzy Multiple Attribute Decision Making (FMADM), which helps the Department in the selection process and helps the process of career guidance on students. With this selection system, the Department can be provide the most suitable concentration decisions with interest in student.
Co-Authors Abu Anwar Alga Prananda Alvin Alvin Anzaz Islami Alwis Nazir Amany Akhyar Damayanti, Elok Devi Julisca Sari Elvia Budianita Fadhilah Syafria Fahmi Rizal Febi Yanto Felina Amelia Fitra Lestari Ismail Marzuki Iwan Iskandar Jasril Jasril Kasman Rukun Khairul Amri Lola Oktavia Muhammad Affandes Muhammad Fikry Novriyanto Novriyanto Ramdaril Ramdaril Ramdaril Reski Mai Candra Robbi Nanda Said Nanda Saputra Samsi Hasan Siska Kurnia Gusti Siti Ramadhani Yayuk Wulandari Yusra, Yusra