Sistem Rekomendasi Pemilihan Smartphone Android Dengan Dana Terbatas Menggunakan Modified Simple Additive Weighting (M-SAW)

Authors

DOI:

https://doi.org/10.26623/transformatika.v17i2.1561

Keywords:

Recommendation System, Smartphone, Fund, M-SAW

Abstract

With the development of communication technology today, the smartphone is one of the choices on communication tools that many users have now. Even now, smartphones have various types and prices that reach user needs, so that with limited funds, they can adjust it to their needs. By creating a smartphone selection recommendation systems, it can make it easier for people in determining smartphone purchases based on available funds, with features, brands, and advantages that are already sophisticated today. The recommendation system is made using a combined method called Modified Simple Additive Weighting (M-SAW), where Simple Additive Weighting (SAW) is used for weighting and normalization process, meanwhile Weighted Product (WP) is used for fixing the weight of criteria, determinating vector S, and ranking process. The result for best recommendation using this method is Oppo F5 Youth with score 0,444. With this recommendation results, makes the user make their decision for smartphone recommendation using this system.

Author Biography

  • Adityo Putro Wicaksono, Universitas Aki
    Nama saya Adityo Putro Wicaksono, Fakultas Teknik dan Informatika, Program Studi Teknik Telekomunikasi, Universitas AKI, Semarang

References

F. Zebua, Laporan DailySocial: Survei Pembelian Smartphone 2018, 2018. [Online]. Available: https://dailysocial.id/post/survei-pembelian-smartphone-2018. [Accessed: 13-Mar-2018].

A. H. Binarso F, Sistem Pendukung Keputusan Pemilihan Gadget Smartphone Menggunakan Metode Simple Additive Weighting, Skripsi Univ. Dian Nuswantoro, 2016.

P. S. Marrina; Zul, Muhammad Ihsan; Arifin, Sistem Pendukung Keputusan untuk Pembelian Smartphone Menggunakan Metode Simple Additive Weight dan Fuzzy Associative Memory, J. Komput. Terap., vol. 2, no. 1, pp. 27 40, 2016.

L. F. Rhozi, SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SMARTPHONE ANDROID MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW), Artik. Skripsi Univ. Nusant. PGRI Kediri, pp. 59 65, 2016.

D. S. W. Iin Mulyadin, Sistem Pendukung Keputusan Pemilihan Smartphone Menggunakan Metode Simple Additive Weighting, Cahaya Tech, vol. 7, no. 2, pp. 88 101, 2018.

A. Mukhlasin, Sistem Pendukung Keputusan Pemilihan Smartphone Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Web, Pros. Semin. Nas. SISFOTEK, no. September, pp. 228 236, 2018.

D. M. Khairina, D. Ivando, and S. Maharani, Implementasi Metode Weighted Product Untuk Aplikasi Pemilihan Smartphone Android, J. INFOTEL - Inform. Telekomun. Elektron., vol. 8, no. 1, pp. 16 23, 2016.

J. Yosef, Latif Ricaro; Susilo, Pengembangan Aplikasi Pemilihan Smartphone Android Menggunakan Metode Weighted Product Berbasis Android, J. Inform. dan Bisnis, vol. 7, no. 2, pp. 59 65, 2016.

G. M. Putra, N. Irawati, S. Informasi, and S. Royal, Analisis Pemilihan Handphone Rekomendasi Dengan Metode Weighted Product, Semin. Nas. R. 2018, vol. 9986, no. September, pp. 199 204, 2018.

R. Kusumadewi, Sri; Hartati, Sri;Harjoko, Agus; Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM), 1st ed. Yogyakarta: Penerbit Graha Ilmu, 2006.

Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan, 1st ed. Yogyakarta: Penerbit Andi, 2007.

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Published

2020-01-30

Issue

Vol. 17 No. 2 (2020): January 2020

Section

Artikel

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