Article Open Access

Implementation of the Simple Additive Weighting Algorithm for Café Recommendations in Lhokseumawe City

Raihan Arkan, Safwandi Safwandi, Ar Razi Ar Razi

Abstract


The selection of cafés that match customer preferences is a challenge, especially in the city of Lhokseumawe, which has 30 cafés with different characteristics. This research implements the Simple Additive Weighting (SAW) algorithm to provide recommendations for the best café based on six criteria, namely price (weight 0.25), menu (0.2), order duration (0.15), service (0.2), facilities (0.15), and discounts & promotions (0.05). The recommendation system was developed using a combination of Laravel PHP and Python, where Laravel is used to build an interactive web interface. Python also plays a role in data processing and complex mathematical calculations. The results showed that the system was able to provide optimal recommendations, with Petrodollar Coffeeatery & Roastery as the top choice based on the calculation of the highest preference values (3.28 for price, 2.48 for menu, 3.16 for order duration, 2.88 for service, 2.96 for facilities, and 2.8 for discounts & promotions). TR Coffee and Platinum Coffee occupy the following positions. In addition, this study found that the weight of the criteria and the number of datasets (150 reviewers) significantly influence the quality of recommendations. The more representative the weights used and the larger the dataset analyzed, the more accurate the system will produce recommendations based on user preferences. Thus, weight optimization and dataset expansion are essential factors in improving the effectiveness of SAW-based recommendation systems.


Keywords


Café Recommendation, Simple Additive Weighting, Laravel, Python, Decision Support System

References


Ferico Octaviansyah Pasaribu, A., & Hendra Saputra, V. (2023). Aplikasi Sistem Pendukung Keputusan Penerimaan Staff Video Editing Menggunakan Metode Profile Matching Berbasis Web. 1(2), 76–84. Https://Doi.Org/10.58602/Mediaborneo.V1i2.32

Manurung, S. (2018). Sistem Pendukung Keputusan Pemilihan Guru Dan Pegawai Terbaik Menggunakan Metode Moora. Jurnal Simetris, 9(1).

Syam, S., & Rabidin, M. (2019). Metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Pemilihan Karyawan Berprestasi (Studi Kasus : Pt. Indomarco Prismatama Cabang Tangerang 1). In Jurnal Keilmuan Dan Aplikasi Teknik Unistek (Vol. 6, Issue 1).

Fauzan, R., Indrasary, Y., & Muthia, N. (2018). Sistem Pendukung Keputusan Penerimaan Beasiswa Bidik Misi Di Poliban Dengan Metode Saw Berbasis Web. Jurnal Online Informatika, 2(2), 79. Https://Doi.Org/10.15575/Join.V2i2.101

Nurdin, Rifzan Fikran, S. R. (2024). Implementation Of Simple Additive Weighting And Profile Matching Methods To Determine Outstanding Students At Universitas Malikussaleh _ Nurdin _ Sistemasi_ Jurnal Sistem Informasi.Pdf.

Zhang, A. (2017). Data Analytics.

Witten, Frank, & Eibe. (N.D.). Data Mining: Practical Machine Learning Tools And Techniques, Second Edition.

Dian Handy Permana, S. (2015). Sistem Penunjang Keputusan Pemilihan Sekolah Menengah Kejuruan Teknik Komputer Dan Jaringan Yang Terfavorit Dengan Menggunakan Multi-Criteria Decision Making. In Jurnal Teknologi Informasi Dan Ilmu Kom-puter (Jtiik) (Vol. 2, Issue 1).

Dicky Nofriansyah, Sajron Defit. 2017. Multi Criteria Decision Making (MCDM) Pada Sistem Pendukung Keputusan.

Dr. Aspizain Chaniago, S. P. M. S. (2017). Teknik Pengambilan Keputusan.

Ismanto, E., & Effendi, N. (2017). Sistem Pendukung Keputusan Penerimaan Karyawan Dengan Metode Simple Additive Weighting (SAW). SATINSains dan Teknologi Informasi, 3(1), 1-9.

Syafnidawaty. (2020, April 03). METODE SIMPLE ADDITIVE WEIGHTING (SAW). Diambil kembali dari Metode Simple Additive Weighting (SAW) – UNIVERSITAS RAHARJA: https://raharja.ac.id/2020/04/03/metodesimple-additive-weighting-saw/

Van Dua, T. (2023). Combination Of Design Of Experiments And Simple Additive Weighting Methods: A New Method For Rapid Multi-Criteria Decision Making. Eureka, Physics And Engineering, 2023(1), 120–133. Https://Doi.Org/10.21303/2461-4262.2023.002733

Ferio, Glenn, Rolly Intan, and Silvia Rostianingsih. 2019. “Sistem Rekomendasi Mata Kuliah Pilihan Menggunakan Metode User Based Collaborative Filtering Berbasis Algoritma Adjusted Cosine Similarity.” Jurnal Infra 7(1):1–7.

Utomo, Bambang Tri Wahyo and Angga Widya Anggriawan. 2015. “Sistem Rekomendasi Paket Wisata Se-Malang Raya Menggunakan Metode Hybrid Content Based Dan Collaborative.” Jurnal Ilmiah Teknologi Informasi Asia 9(1):6–13.




DOI: https://doi.org/10.52088/ijesty.v5i3.885

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Raihan Arkan, Safwandi, Ar Razi

International Journal of Engineering, Science, and Information Technology (IJESTY) eISSN 2775-2674