Implementation of the Weighted Product Method in the Best Student Selection Decision Making System Application

Murdani, Fricles Ariwisanto Sianturi, Harvei Desmon Hutahaean, Sony Bahagia Sinaga, Denni M. Rajagukguk

2018

Abstract

Decision support systems are information systems that are interactive and provide information, data modeling and manipulation techniques, and help decision makers in semi-structured and unstructured conditionals. School is an institution or an effective place to transforms knowledge from educators to students and as a means of education. Here students get additional knowledge and moral formation. One of the school assignments is to produce students who are able to advance the nation. The selection of the best students is carried out in a period with the aim of stimulating enthusiasm in each student to continue to improve their learning achievement in school. The best student selection is done by determining a student who is recommended by the teacher based on the criteria determined by the school. In order for the desired results to be maximized and appropriate in the process of selecting the best students with using the Product Weighting Method (WP).

Paper Citation

in Harvard Style

Murdani., Sianturi F., Hutahaean H., Sinaga S. and Rajagukguk D. (2018). Implementation of the Weighted Product Method in the Best Student Selection Decision Making System Application.In Proceedings of the 1st Unimed International Conference on Economics Education and Social Science - Volume 1: UNICEES, ISBN 978-989-758-432-9, pages 99-104. DOI: 10.5220/0009495900990104

in Bibtex Style

@conference{unicees18,
author={Murdani and Fricles Ariwisanto Sianturi and Harvei Desmon Hutahaean and Sony Bahagia Sinaga and Denni M. Rajagukguk},
title={Implementation of the Weighted Product Method in the Best Student Selection Decision Making System Application},
booktitle={Proceedings of the 1st Unimed International Conference on Economics Education and Social Science - Volume 1: UNICEES,},
year={2018},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009495900990104},
isbn={978-989-758-432-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st Unimed International Conference on Economics Education and Social Science - Volume 1: UNICEES,
TI - Implementation of the Weighted Product Method in the Best Student Selection Decision Making System Application
SN - 978-989-758-432-9
AU - Murdani.
AU - Sianturi F.
AU - Hutahaean H.
AU - Sinaga S.
AU - Rajagukguk D.
PY - 2018
SP - 99
EP - 104
DO - 10.5220/0009495900990104