JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING
Vol 5, No 1 (2021): EDISI JULY 2021

Internet Data Quota Assistance for Students Using Reference Point MOORA Decision Analysis

Ummul Hairah (Universitas Mulawarman)
Edy Budiman (Universitas Mulawarman)



Article Info

Publish Date
16 Jul 2021

Abstract

Decisions are made by those who are authorized and responsible decision makings for an institution or organization. Many decisions involve stakeholders who are individuals and organizations who can be affected by the future consequences of these decisions, including decision-making on Internet data quota assistance distributed by the Ministry of Education and Culture to support students' online learning from home (LFH). This Assistance Policy is very appropriate and well provided during the Covid-19 Pandemic. However, in an effort to optimize and objectify distribution so that it is right on target, this research is proposed solutions for applying the analysis decision-making mode using Multi-criteria Decision-making (MCDM). The criteria used include the amount of internet data consumption, Academic credits, courses, and student's economic capacity. The criteria weighting method uses Rank-order Centroid (ROC) and reference point MOORA for determining the best alternative.  The results showed that the implementation of the MCDM ROC-Reference MOORA method affected the preference value and alternative ranking of internet data quota assistance. This shows that the criteria weight value and the analysis method are critical aspects in decision-making. Differences in weight, even the slightest change in weight, can drastically change the final decision

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Journal Info

Abbrev

jite

Publisher

Subject

Computer Science & IT Engineering

Description

JURNAL TEKNIK INFORMATIKA, JITE (Journal of Informatics and Telecommunication Engineering) is a journal that contains articles / publications and research results of scientific work related to the field of science of Informatics Engineering such as Software Engineering, Database, Data Mining, ...