Smartphone Recommendations Based on Specifications Using Fuzzy Tahani
DOI:
https://doi.org/10.69616/mit.v2i1.210Keywords:
Fuzzy logic, Tahani, Smartphone, RecommendationsAbstract
Technology has become an integral part of people's lives, especially smartphones. Smartphones are needed nowadays because of their very complete functions and features. Due to the large number of users, manufacturers compete to create smartphones with various features and prices. Often, the large number of cell phones available makes users confused about choosing a smartphone. So calculations and comparisons are needed from various sides so that users don't make the wrong choice. Therefore, this research proposes a method of calculating and comparing smartphones based on fuzzy logic with the resistance method through a system created by researchers. These calculations and recommendations rely on information from market demand through researchers who are also smartphone market players, so they can provide recommendations that are quite accurate and by conditions that often occur in the market. With this recommendation system, users can easily search for the cellphone they want, coupled with the fuzzy logic calculation method, which makes this system's calculations more accurate, thereby preventing user choice errors. With this, users also get a comparison of recommendations that will help them choose the smartphone they want.
References
W. D. Prasetio, A. Zahrroh, A. K. B. Rizki, A. R. Izzati, D. Brantadikara, and W. K. Oktoeberza, “IMPLEMENTASI FUZZY TAHANI DALAM SISTEM REKOMENDASI PEMILIHAN SMARTPHONE BERBASIS WEB”.
A. Yolanda, “IMPLEMENTASI FUZZY TAHANI UNTUK REKOMENDASI PEMILIHAN SMARTPHONE”.
H. Hartini and R. H. Wijaya, “Aplikasi Rekomendasi Pemilihan Smartphone Menggunakan Metode Fuzzy Tahani,” jtir, vol. 14, no. 2, Jul. 2019, https://doi.org/10.35842/jtir.v14i2.289
C. T. Prasetyo, F. A. Hermawati, and E. Ronando, “SISTEM REKOMENDASI PEMILIHAN SMARTPHONE BERDASARKAN KARAKTERISTIK SOSIO-DEMOGRAFIS PENGGUNA MENGGUNAKAN METODE FUZZY TAHANI,” KONV, vol. 14, no. 1, Sep. 2019, https://doi.org/10.30996/konv.v14i1.2769
H. Wijaya, M. Virginia, and L. Hakim, “Penerapan Fuzzy Tahani untuk Pemilihan Perangkat Smartphone Berbasis Website Berdasarkan Kriteria Membeli,” JTIUST, pp. 412–421, Dec. 2021, https://doi.org/10.54367/jtiust.v6i2.1570
Veronika and D. Trisnawarman, “PENERAPAN FUZZY TAHANI PADA REKOMENDASI OBJEK WISATA DI JAKARTA,” jiksi, vol. 11, no. 2, Aug. 2023, https://doi.org/10.24912/jiksi.v11i2.26023
Y. Murdianingsih and I. Isbahatunnisa, “IMPLEMENTASI METODE FUZZY TAHANI DALAM MENENTUKAN REKOMENDASI PEMBELIAN LAPTOP (Studi kasus di Toko Mega Alvindo Kalijati Subang),” JTIK, vol. 13, no. 1, pp. 41–51, Apr. 2020, https://doi.org/10.47561/a.v13i1.169
Y. T. Wijaya, “Program Studi Teknik Informatika”.
Y. E. Setiawan, “SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN REKRUTMEN GURU MENGGUNAKAN LOGIKA FUZZY TAHANI,” BAREKENG, vol. 14, no. 2, pp. 259–272, Sep. 2020, https://doi.org/10.30598/barekengvol14iss2pp259-272
C. D. Mait, J. A. Watuseke, P. D. G. Saerang, and S. R. Joshua, “Sistem Pendukung Keputusan Menggunakan Fuzzy Logic Tahani Untuk Penentuan Golongan Obat Sesuai Dengan Penyakit Diabetes”.
C. Wahyuningrum and M. F. Asnawi, “RANCANG BANGUN APLIKASI MONITORING KEHADIRAN GURU DI KELAS (E-MOKU) BERBASIS WEB MENGGUNAKAN ALGORITMA FUZZY LOGIC,” STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer, vol. 1, no. 2, pp. 41–48, May 2022, https://doi.org/10.55123/storage.v1i2.330
A. Febrianto, N. Kusumastuti, and M. Pasaribu, “PENENTUAN REKOMENDASI LAPTOP MACBOOK BEKAS DENGAN BASISDATA FUZZY MODEL TAHANI”.
G. N. M. Nata and P. P. Yudiastra, “Fuzzy Inference System dan Fuzzy Database sebagai Kecerdasan Basis Data untuk Kontrol Stok,” vol. 16, no. 2.
F. A. Sianturi, R. F. Siahaan, and A. Fitra, “Penerapan Metode Fuzzy Model Tahani Dalam Sistem Pendukung Keputusan Kenaikan Jabatan,” vol. 4, 2020.
R. Efendi, E. Ernawati, and R. Hidayati, “APLIKASI FUZZY DATABASE MODEL TAHANI DALAM MEMBERIKAN REKOMENDASI PEMBELIAN RUMAH BERBASIS WEB,” pseudocode, vol. 1, no. 1, pp. 32–43, Feb. 2014, https://doi.org/10.33369/pseudocode.1.1.32-43
Published
How to Cite
Issue
Section
Copyright (c) 2025 Zul Qadri, Muh. Alfi Maolani, Muh. Ghazali Awaluddin, Fhatiah Adiba, Asmaul Husna Nasurullah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors retain copyright and grant Jurnal Media Information Technology (MIT) the right of first publication with the work simultaneously licensed under the CC BY-SA 4.0 license, allowing others to share and adapt the work with proper attribution and equal sharing of derived works.
