Perancangan Sistem Cerdas Pemilihan Mobil Bekas Menggunakan Metode Fuzzy Mamdani
Article Sidebar
Main Article Content
Abstract
Buying a used car is often an economical choice for people, but the selection process is not easy because it involves various subjective and uncertain criteria, such as engine condition, year of production, mileage, and price. To overcome these problems, this study designs an intelligent system that can help decision making in choosing a used car using the Mamdani fuzzy logic method. This system is designed to assess the suitability of a car based on input from several predetermined main variables, by utilizing fuzzy rules that are arranged based on expert knowledge. The results of this system are recommendations for the level of suitability of used cars, which can be used as a reference in the purchasing process. System testing shows that the Mamdani fuzzy method is able to provide fairly accurate and consistent results in evaluating and recommending used car choices that suit user needs. Thus, this system can be an effective and efficient tool in supporting the decision-making process for purchasing used cars.
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
S. N. Rizki, “Fuzzy logic memprediksi tingkat kecelakaan kerja pada PT.Galang Kapal di kota Batam,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 9, no. 2, pp. 151–161, 2018, doi: 10.31849/digitalzone.v9i2.1980.
Rika Widya Perdana, “Artificial Intelegence APLIKASI PEMILIHAN BERAS BERDASARKAN REFERENSI KONSUMEN MENGGUNAKAN FUZZY LOGIC,” Elkom J. Elektron. dan Komput., vol. 14, no. 2, pp. 301–311, 2021, doi: 10.51903/elkom.v14i2.502.
D. Mahrizon, “Kriteria Pembelian Motor Bekas Berdasarkan Kebutuhan Pengguna Menggunakan Metode Sugeno,” MEANS (Media Inf. Anal. dan Sist., vol. 8, no. 2, pp. 144–149, 2023, doi: 10.54367/means.v8i2.3054.
U. M. Rifanti, H. Pujiharsono, and Z. H. Pradana, “Implementasi Logika Fuzzy Pada Penilaian Kegiatan Merdeka Belajar Kampus Merdeka (MBKM),” JST (Jurnal Sains dan Teknol., vol. 12, no. 1, pp. 250–260, 2023, doi: 10.23887/jstundiksha.v12i1.50057.
Indra, “Penerapan Logika Fuzzy untuk Menentukan Jumlah,” Jtriste, vol. 3, no. 2, pp. 87–98, 2016.
S. Basriati, M.Sc and E. Safitri, M.Mat, “Penerapan Metode Fuzzy Tsukamoto dalam Menentukan Jumlah Produksi Tahu,” J. Sains, Teknol. dan Ind., vol. 18, no. 1, p. 120, 2021, doi: 10.24014/sitekin.v18i1.11022.
M. Ema Julpia Aenun, “Implementasi Logika Fuzzy Metode Mamdani Pada Prediksi Biaya Pemakaian Listrik,” UNNES J. Math., vol. 3, no. 3, pp. 57–65, 2014, [Online]. Available: http://journal.unnes.ac.id/sju/index.php/ujme
D. Kurniadi, F. Nuraeni, and D. Jaelani, “Implementasi Logika Fuzzy Mamdani Pada Sistem Prediksi Calon Penerima Program Keluarga Harapan,” J. Algoritm., vol. 19, no. 1, pp. 151–162, 2022, doi: 10.33364/algoritma/v.19-1.1016.
D. Rifai and F. Fitriyadi, “Penerapan Logika Fuzzy Sugeno dalam Keputusan Jumlah Produksi Berbasis Website,” Hello World J. Ilmu Komput., vol. 2, no. 2, pp. 102–109, 2023, doi: 10.56211/helloworld.v2i2.297.
S. N. Rizki, “Fuzzy Implementation in The Selection of A Chieving Employees at PT. Sumber Barkah using Matlab Software,” IJISTECH (International J. Inf. Syst. Technol., vol. 5, no. 2, p. 170, 2021, doi: 10.30645/ijistech.v5i2.128.
S. N. Rizki and H. Tipa, “Implementasi Fuzzy Inference System Untuk Menentukan Tingkat Kriminalitas Di Kota Batam,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 10, no. 2, pp. 206–221, 2020, doi: 10.31849/digitalzone.v10i2.3090.
S. N. Rizki and H. Tipa, “Metode Sugeno dalam Penentuan Tingkat Kriminalitas di Kota Batam,” no. September, pp. 193–198, 2019.
A. Maulana and S. N. Rizki, “Sistem Pengambilan Keputusan Dalam Penerimaan Proyek Pembuatan Kapal Menggunakan Metode Fuzzy,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 9, no. 2, pp. 723–730, 2018, doi: 10.24176/simet.v9i2.2110.