Penerapan Metode WP dan TOPSIS untuk Menentukan Unit Villa Sewa maupun Beli Berdasarkan Preferensi Pelanggan

<p><strong>The rapid growth of tourism in North Sumatra has increased the demand for accommodations, particularly villas. The abundance of villa choices often causes difficulties for tourists in selecting the most suitable option according to their preferences. This issue highlights the need for a Decision Support System (DSS) that can assist both customers and providers in making structured and objective decisions. This study aims to design a DSS for villa selection by applying the Weight Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The research steps include determining criteria, assigning weights, calculating preference values, and testing the results using both methods. WP recommended Villa Bukit Indah as the best option with a score of 0.2154, while TOPSIS identified Villa Block F–G as the best alternative with a score of 0.5811. Through the aggregation process, the final result showed that Villa Block F–G ranked first among five alternatives with the highest average score of 0.39145. The findings indicate that WP and TOPSIS can be applied complementarily to produce more accurate accommodation recommendations. Therefore, the proposed DSS supports companies in marketing strategies while helping customers choose villas that match their needs and preferences.</strong></p><p><strong><em>Keywords</em></strong><em> - Customer Preference, Decision Support System, TOPSIS, Villa, Weight Product.</em></p>

Authors

Institutions

Publication Details

Journal
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI
Published
2025-10-14
DOI
https://doi.org/10.36722/sst.v10i3.4851
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Penerapan Metode WP dan TOPSIS untuk Menentukan Unit Villa Sewa maupun Beli Berdasarkan Preferensi Pelanggan

Muhammad Dedi Irawan, Arfi Andi Sahputra
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI
Management and Optimization Techniques
article

Penerapan Metode WP dan TOPSIS untuk Menentukan Unit Villa Sewa maupun Beli Berdasarkan Preferensi Pelanggan

Muhammad Dedi Irawan, Arfi Andi Sahputra
article en

Abstract

<p><strong>The rapid growth of tourism in North Sumatra has increased the demand for accommodations, particularly villas. The abundance of villa choices often causes difficulties for tourists in selecting the most suitable option according to their preferences. This issue highlights the need for a Decision Support System (DSS) that can assist both customers and providers in making structured and objective decisions. This study aims to design a DSS for villa selection by applying the Weight Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The research steps include determining criteria, assigning weights, calculating preference values, and testing the results using both methods. WP recommended Villa Bukit Indah as the best option with a score of 0.2154, while TOPSIS identified Villa Block F–G as the best alternative with a score of 0.5811. Through the aggregation process, the final result showed that Villa Block F–G ranked first among five alternatives with the highest average score of 0.39145. The findings indicate that WP and TOPSIS can be applied complementarily to produce more accurate accommodation recommendations. Therefore, the proposed DSS supports companies in marketing strategies while helping customers choose villas that match their needs and preferences.</strong></p><p><strong><em>Keywords</em></strong><em> - Customer Preference, Decision Support System, TOPSIS, Villa, Weight Product.</em></p>

JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGIVol. 10(3)
Universitas Islam Negeri Sumatera Utara (ID)
Openalex Percentile: Top 57%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.