Penerapan Metode PSI dan Moora pada Rekomendasi Pemilihan Laptop Terbaik untuk Desain Grafis berbasis Web

This study develops a web-based decision support system to recommend the best laptops for graphic design purposes. The system combines the Preference Selection Index (PSI) method for criteria weighting and the Multi-Objective on the Basis of Ratio Analysis (MOORA) method for ranking alternatives. The research is motivated by the difficulty consumers face in selecting laptops with optimal specifications, such as powerful processors, discrete graphics, large RAM, and fast storage. The study was conducted at Raihan Computer Store, where recommendations were previously made based on intuition rather than data analysis. The proposed system offers data-driven recommendations by evaluating criteria such as performance, graphics, storage capacity, and price. This study is supported by previous research that demonstrates the effectiveness of PSI and MOORA methods. The results are expected to assist consumers in choosing suitable laptops for graphic design activities, thereby supporting learning or work in the field.

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Publication Details

Journal
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer.
Published
2025-06-28
DOI
https://doi.org/10.70247/jumistik.v4i1.154
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Penerapan Metode PSI dan Moora pada Rekomendasi Pemilihan Laptop Terbaik untuk Desain Grafis berbasis Web

Muhamad Alda, Samsudin Samsudin, Anisa Yasmin
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer.
Data Mining and Machine Learning Applications
article

Penerapan Metode PSI dan Moora pada Rekomendasi Pemilihan Laptop Terbaik untuk Desain Grafis berbasis Web

Muhamad Alda, Samsudin Samsudin, Anisa Yasmin
article en

Abstract

This study develops a web-based decision support system to recommend the best laptops for graphic design purposes. The system combines the Preference Selection Index (PSI) method for criteria weighting and the Multi-Objective on the Basis of Ratio Analysis (MOORA) method for ranking alternatives. The research is motivated by the difficulty consumers face in selecting laptops with optimal specifications, such as powerful processors, discrete graphics, large RAM, and fast storage. The study was conducted at Raihan Computer Store, where recommendations were previously made based on intuition rather than data analysis. The proposed system offers data-driven recommendations by evaluating criteria such as performance, graphics, storage capacity, and price. This study is supported by previous research that demonstrates the effectiveness of PSI and MOORA methods. The results are expected to assist consumers in choosing suitable laptops for graphic design activities, thereby supporting learning or work in the field.

Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer.Vol. 4(1)
Universitas Islam Negeri Sumatera Utara (ID)
Openalex Percentile: Top 75%
Data Mining and Machine Learning Applications
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