JTIM : Jurnal Teknologi Informasi dan Multimedia
Vol 1 No 3 (2019): November

Sistem Pendukung Keputusan untuk Menentukan Kegiatan Ekstrakurikuler Berdasarkan Bakat dan Minat Menggunakan Metode SAW (Simple Additive Weighting)

Yuda Irawan (STMIK Hang Tuah Pekanbaru)
Herianto (STMIK Hang Tuah Pekanbaru)
Susi Oustria Simamora (STMIK Hang Tuah Pekanbaru)



Article Info

Publish Date
04 Nov 2019

Abstract

Extracurricular activities are an internal part of the learning process that emphasizes meeting student needs, extracurricular activities can be a means to channel talents and interests to encourage the development of potential students. In the extracurricular elections at the Taruna Satria Vocational School Pekanbaru is still manual where the extracurricular counselor is still based on self competence, but extracurricular determination is left entirely to students. So that a system is needed to improve the quality of good education. In making a decision there are many methods, and for the decision making for the selection of extracurricular activities at the Satuna Satria Vocational School, the SAW method (simple additive weighting) is used, the SAW method is a method used to find optimal alternatives from a number of alternatives with certain criteria. The solution obtained is that the application designed is a Decision Support System to Determine Extracurricular Activities Based on Interests and Talents in the Taruna Satria Vocational School Pekanbaru. This application can provide several advantages compared to the current system, which is efficient and effective in processing information and data management. With this application, it will help guide teachers and especially for students to choose extracurricular activities quickly and based on the talents and interests of these students

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...