Implementation of MOORA and MOORSA Methods in Supporting Computer Lecturer Selection Decisions Article Swipe

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Zulham Sitorus , Abdul Karim , Asyahri Hadi Nasyuha , Moustafa H. Aly ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.20895/infotel.v16i3.1184

The selection of computer science lecturers is an important process for educational institutions, requiring a balanced assessment of various criteria to find the most suitable candidates. This paper examines the implementation of Multi-Objective Optimization based on Ratio Analysis (MOORA) and its variant, namely Multi-Objective Optimization based on Ratio Analysis with a Subjective Attitude (MOORSA), as a tool to support decision making. in this case. This selection process is often complex, requiring consideration of various criteria, such as academic qualifications, teaching experience, research capabilities, and others. This research was conducted to support the decision-making process. by developing a Decision Support System (DSS) using the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) and MOORSA methods. Many methods are used, such as SAW, AHP, Topsis and others. based on the calculation of the MOORA method, the highest result has been achieved by A1 worth 0.651819 and similarly, in the MOOSRA method the highest alternative result is A1 worth 0.592177.

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Computer Science

Artificial Intelligence

Mathematics

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Selection (genetic algorithm) Computer science Operations research Artificial intelligence Mathematics

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Type: article
Language: en
Landing Page: https://doi.org/10.20895/infotel.v16i3.1184
OA Status: gold
Cited By: 2
Related Works: 10
OpenAlex ID: https://openalex.org/W4402971535

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OpenAlex ID: https://openalex.org/W4402971535

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DOI: https://doi.org/10.20895/infotel.v16i3.1184

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Title: Implementation of MOORA and MOORSA Methods in Supporting Computer Lecturer Selection Decisions

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-09-15

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Authors: Zulham Sitorus, Abdul Karim, Asyahri Hadi Nasyuha, Moustafa H. Aly

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Landing page: https://doi.org/10.20895/infotel.v16i3.1184

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.20895/infotel.v16i3.1184

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Concepts: Selection (genetic algorithm), Computer science, Operations research, Artificial intelligence, Mathematics

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Cited by: 2

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Citations by year (recent): 2025: 2

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Related works (count): 10

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