Perbandingan Metode Simple Additive Weighting (SAW) Dan Weighted Product (WP) Dalam Pemilihan Aplikasi Belanja Sayur Online
DOI:
https://doi.org/10.47065/jimat.v5i2.471Keywords:
SAW; WP; Online Grocery Shopping; Happyfresh; Segari; Sayurbox; Application ChoiceAbstract
The selection of the right online vegetable shopping application is becoming increasingly important as public awareness of a healthy lifestyle grows. The aim of this study is to develop a Decision Support System (DSS) that can help consumers choose the best online vegetable shopping application. This research contributes to the development of a decision support system for selecting an online vegetable shopping application by comparing the performance of two multi-criteria methods: Simple Additive Weighting (SAW) and Weighted Product (WP). A case study was conducted on three applications HappyFresh, Segari, and Sayurbox considering criteria such as price, product quality, application convenience, and promotions. This research is quantitative in nature, aiming to test predetermined hypotheses. The data sources used in this study include both primary and secondary data. The sampling technique applied was purposive random sampling, involving 100 respondents. The selected respondents were users of HappyFresh, Sayurbox, and Segari applications residing in the Jabodetabek area. The analysis results show that both methods produced consistent rankings, with the HappyFresh application consistently ranking first. This indicates that HappyFresh has the best performance in meeting user expectations based on the established criteria. Based on calculations using the SAW and WP methods, HappyFresh obtained the highest score in both methods, with a score of 1 using SAW and 0.3341 using WP. This suggests that HappyFresh is the most recommended application among HappyFresh, Sayurbox, and Segari..
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References
Kementrian Kesehatan, “Nutrisi dalam Sayur-sayuran,” Kementrian Kesehatan Republik Indonesia.
Wulandari Ramadhanti, “Preferensi konsumen terhadap pembelian sayuran segar secara online di Kecamatan Pancoran Mas, Kota Depok, Jawa Barat,” Institutional Repos. UIN Syarif Hidayatullah Jakarta, 2024.
N. Hanifah and D. R. Rahadi, “Analisis Perilaku Konsumen Dalam Memutuskan Pembelian Secara Online pada Masa Pandemi COVID-19,” J. Manaj. dan Keuang., vol. 7, no. November, pp. 112–122, 2020.
F. Dwi Krisdianto and S. Gunawan, “Analisis Strategi Bisnis Percetakan Di Era Digitalisasi Pada Segmen Produk Label Dan Kemasan Studi Pada Perusahaan Pt. Xyz,” JMBI UNSRAT (Jurnal Ilm. Manaj. Bisnis dan Inov. Univ. Sam Ratulangi)., vol. 10, no. 2, pp. 1327–1344, 2023, doi: 10.35794/jmbi.v10i2.49846.
Statista, “Consumer trends 2024.” [Online]. Available: https://www.statista.com/study/162257/consumer-trends-2024/. Diakses: 05 Desember 2024
Indira Lintang, “6 Aplikasi Belanja Sayur Online Favorit Masyarakat Indonesia,” inilah.com. [Online]. Available: https://www.inilah.com/aplikasi-beli-sayur-online. Diakses: 05 Desember 2024
L. F. Sarwandi, L. T. S., Hasibuan, N. A., Sudipa, I. G. I., Syahrizal, M., Alwendi, M., Muqimuddin, B. D. M., ... & Israwan, Sistem pendukung keputusan. Graha Mitra Edukasi., 2023.
J. Hutahaean, N. Fifto, D. A. Kraugusteeliana, and Q. Aini, Sistem Pendukung Keputusan. Yayasan Kita Menulis, 2023.
M. Burhanudin, S. P. Laksmana, I. D. Rauf, D. Wicaksono, and P. Rosyani, “Perbandingan Metode SAW, WP dan TOPSIS dalam Sistem Penunjang Keputusan Pemilihan Smartphone Android Bekas,” OKTAL J. Ilmu …, vol. 2, no. 9, pp. 2445–2452, 2023.
P. Setiaji, “Sistem Pendukung Keputusan Dengan Metode Simple Additive Weighting.,” imetris J. Tek. Mesin, Elektro dan Ilmu Komputer, vol. 1, no. 1, pp. 59–67, 2012.
A. P. Manullang, A. Prahutama, and R. Santoso, “Penerapan Metode Simple Additive Weighting (Saw) Dan Weighted Product (Wp) Dalam Sistem Penunjang Pemilihan Laptop Terfavorit Menggunakan Gui Matlab,” J. Gaussian, vol. 7, no. 1, pp. 11–22, 2018, doi: 10.14710/j.gauss.v7i1.26631.
S. Mulyati, “Penerapan Metode Simple Additive Weighting Untuk Penentuan Prioritas Pemasaran Kemasan Produk Bakso Sapi,” J. Inform., vol. 1, no. 1, pp. 33–37, 2016.
D. Fransiska, “Sistem Pendukung Keputusan Menentukan E-Commerce Terbaik Menggunakan Metode Weighted Product,” PROSISKO J. Pengemb. Ris. dan Obs. Sist. Komput., vol. 10, no. 1, pp. 41–48, 2023, doi: 10.30656/prosisko.v10i1.5957.
A. NurFaddillah, C. A. P. Hakim, M. H. I. Hari, and P. Rosyani, “Perbandingan Metode Simple Additive Weight (SAW), Weighted Product (WP) dan TOPSIS Dalam Penilaian Kinerja Guru,” Log. J. Ilmu Komput. dan Pendidik., vol. 1, no. 2, pp. 138–144, 2023.
Sugiyono, Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung, 2018.
K. Lameshow, S., & Hosmer, Lwanga. Besar Sampel Dalam Penelitian Kesehatan. Yogyakarta, 2021.
I. Ghozali, Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro, 2018.
H. Latan and I. Ghozali, Partial Least Squares Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0 untuk Penelitian Empiris. Semarang: Universitas Diponegoro, 2015.
N. Pratiwi, “Efektivitas Promosi Menggunakan Media Sosial Instagram Terhadap Keputusan Pembelian Di Layanan Belanja Online Happyfresh,” UIN Syarif Hidayatullah Jakarta, 2021.
M. Ikrom wahyuri, “Sistem Pendukung Keputusan Pemberian Beasiswa Menggunakan Metode Weighted Product (WP) (Studi Kasus?: Universitas IBA Palembang),” Skripsi UIN Raden Fatah Palembang, 2018.
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