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All Journal Humanika JURIKOM (Jurnal Riset Komputer) Journal of Artificial Intelligence and Innovative Applications (JOAIIA) TIN: TERAPAN INFORMATIKA NUSANTARA JUTECH : Journal Education and Technology JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business International Journal of Integrative Sciences LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan Journal Global Technology Computer
Iwan Giri Waluyo
Universitas Pamulang
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Journal : Journal Global Technology Computer

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Sistem Rekomendasi Investasi Dengan Metode Berbasis Pembobotan Linear Simple Additive Weighting dan Rank Order Centroid Model Savitri, Savitri; Waluyo, Iwan Giri; Rosyani, Perani
Journal Global Technology Computer Vol 4 No 2 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i2.7174

Abstract

Investment is a strategic activity for managing and growing wealth, whether for short-term or long-term purposes. However, selecting the appropriate investment instrument is not straightforward, as each asset has unique characteristics, including risk level, liquidity, and maintenance costs. This study aims to develop an investment recommendation system using a Multi-Criteria Decision Making (MCDM) approach, specifically by combining the Simple Additive Weighting (SAW) method and the Rank Order Centroid (ROC) technique. The five investment alternatives evaluated in this research are gold bullion, property, luxury jewelry, artwork, and classic cars, assessed against six main criteria: return on investment (ROI), liquidity, risk, maintenance cost, popularity & demand, and availability (scarcity). The ROC method is applied to determine objective weights based on expert-ranked preferences, followed by normalization and scoring of each alternative using the SAW method. The results indicate that gold bullion achieves the highest score (0.882) and is the most recommended investment. This model successfully provides transparent and systematic recommendations and can be further enhanced with dynamic market data and a broader range of investment alternatives.
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