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All Journal Jurnal Komputer dan Teknologi (JUKOMTEK)
Devi Wulandari
Universitas Mitra Bangsa
Computer Science & IT Library & Information Science

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PENINGKATAN AKURASI SISTEM REKOMENDASI PRODUK MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATION Zaenuddin; Wildan Jazuli; Devi Wulandari; Rini Fath Marsya
Jurnal Komputer dan Teknologi Vol 3 No 2 (2024): JUKOMTEK JULI 2024
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v3i2.684

Abstract

Abstract: Product recommendation systems play a crucial role in helping users discover productsthat align with their preferences, particularly on e-commerce platforms. However, the mainchallenge lies in improving recommendation accuracy to ensure that the suggested items are trulyrelevant. This study proposes the application of the Ant Colony Optimization (ACO) algorithmto enhance the accuracy of recommendation systems. ACO is a metaheuristic algorithm inspiredby the behavior of ants in finding the shortest path to a food source, which is adapted here tosearch for optimal product combinations based on users’ interaction history. Experimental resultsshow that integrating ACO with a collaborative filtering-based approach improvesrecommendation accuracy by up to 34% compared to conventional methods. These findingscontribute to the development of more intelligent and adaptive recommendation systems.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SUBKON-TRAKTOR MENGGUNAKAN METODE ANALYTIC HIERARCHY PROCES (AHP) Devi wulandari
Jurnal Komputer dan Teknologi Vol 3 No 2 (2024): JUKOMTEK JULI 2024
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v3i2.686

Abstract

Subcontractor selection is a crucial factor in the success of a construction project. Mistakes in selecting subcontractors can lead to project delays, increased costs, and decreased work quality. This study aims to develop a Decision Support System (DSS) for subcontractor selection using the Analytic Hierarchy Process (AHP) method. This method is used to determine criteria weights and rank alternative subcontractors. The criteria used include price, quality, experience, completion time, and reputation. The results show that the AHP method is capable of providing objective and structured recommendations for the best subcontractors.
Co-Authors Rini Fath Marsya Wildan Jazuli Zaenuddin