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Authors:  Murdani 1 ; Fricles Ariwisanto Sianturi 2 ; Harvei Desmon Hutahaean 2 ; Sony Bahagia Sinaga 1 and Denni M. Rajagukguk 3

Affiliations: 1 AMIK Stiekom Sumatera Utara, Indonesia ; 2 STMIK Pelita Nusantara Medan, Indonesia ; 3 STMIK Kristen Neumann Indonesia, Indonesia

Keyword(s): Best Student Selection, Decision Support System, Weighted Product

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).

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Paper citation in several formats:
Murdani.; Sianturi, F.; Hutahaean, H.; Sinaga, S. and Rajagukguk, D. (2020). 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 - UNICEES; ISBN 978-989-758-432-9, SciTePress, pages 99-104. DOI: 10.5220/0009495900990104

@conference{unicees20,
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 - UNICEES},
year={2020},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009495900990104},
isbn={978-989-758-432-9},
}

TY - CONF

JO - Proceedings of the 1st Unimed International Conference on Economics Education and Social Science - 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 - 2020
SP - 99
EP - 104
DO - 10.5220/0009495900990104
PB - SciTePress

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