Bulletin of Social Informatics Theory and Application
Vol. 2 No. 1 (2018)

Internship recommendation system using simple additive weighting

Santoso, Priyo Aji (Unknown)
Wibawa, Aji Prasetya (Unknown)
Pujianto, Utomo (Unknown)



Article Info

Publish Date
17 Jul 2018

Abstract

Internship is an activity that is compulsory for students of Vocational High School. Great selection of internships and the lack of information about the industry, is the common barriers of apprentice implementation. So find apprenticeship places that fit the needs of students to increase the intensity of the work and the motivation of students is not easy. Apprenticeship recommendation system using a simple additive weighting (SAW) can be used as a solution to assist students in determining the place of internship according to the needs of student. Method SAW can provide recommendations based on the weight of the priority criteria for students and can provide the level of accuracy of calculation of 100%. Evaluation on the behavior of users of the system are also carried out, as many of the implementation of the system failed is caused not due to technical factors but more on users. The results of the evaluation of the Technology Acceptance Model (TAM) approach, the average of user already feel usability and ease of use. While the influence of TAM each variable can give significant effects.

Copyrights © 2018






Journal Info

Abbrev

businta

Publisher

Subject

Computer Science & IT Social Sciences

Description

Bulletin of Social Informatics Theory and Application (ISSN 2614-0047) is an interdisciplinary scientific journal for researchers from Computer Science, Informatics, Social Sciences, and Management Sciences to share ideas and opinions, and present original research work on studying the interplay ...