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Home > Articles

Logika Fuzzy dengan Metode Mamdani dalam Menentukan Tingkat Peminatan Tipe Motor Honda

  • Jufriadi
    Universitas Putra Indonesia YPTK Padang


DOI: https://doi.org/10.37034/infeb.v3i1.60
Keywords: Motor Interest, Fuzzy Logic, Mamdani Method, Motor Type, Defuzzification

Abstract

Honda motorcycles are in demand by the public as a cheap means of land transportation. CV Hayati is the main motorcycle dealer company in Padang. In carrying out its activities, CV Hayati needs to consider several factors when selling motorcycles that are in demand by consumers. However, CV Hayati still uses manual means in looking at the interest in the motor that will be purchased by consumers. To solve the problem, a system is needed that can help with decision-making by consumers in purchasing motors according to their interests. In this study, the decision to buy a motor that consumers were interested in was done using the fuzzy logic of mamdani method. With the decision-making system in motor interest, it is expected to help and facilitate consumers in determining the motor they are interested in buying. The results of this study can be viewed using the PHP programming language and MySQL database, with the fuzzy logic of the mamdani method. Where in the fuzzyfication process consider several input variables namely: price, oil fuel tank capacity, engine speed, baggage capacity and vehicle weight. So that by defuzzification can be determined the recomedation of motors that are in demand by consumers.

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References

Nasir, J., & Suprianto, J. (2017). Analisis Fuzzy Logic Menentukan Pemilihan Motor Honda dengan Metode Mamdani. Jurnal Edik Informatika, 3(2), 177-186.

Kartika, D., Sovia, R., & Sandawa, H. M. (2018). Penerapan Metode Fuzzy Mamdani untuk Memprediksi Angka Penjualan Token Berdasarkan Persediaan dan Jumlah Permintaan Pada PT. PLN (Persero) Padang Berbasis Web. Jurnal KomtekInfo, 5(1).

Yudhistiro, K., & Pamuntjar, H. (2019). Sistem Inferensi Fuzzy Mamdani untuk Penunjang Keputusan Penentuan Potensi Desa di Kabupaten Malang. SMATIKA Jurnal, 9(01). DOI: https://doi.org/10.32664/smatika.v9i01.244 .

Maibang, C. P. P., & Husein, A. M. (2019). Prediksi Jumlah Produksi Palm Oil Menggunakan Fuzzy Inference System Mamdani. Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP), 2(2), 19-26. DOI: https://doi.org/10.34012/jutikomp.v2i2.528 .

Handoko, K., Fajrin, A. A., & Kurniawan, B. (2018). Penerapan Logika Fuzzy Mamdani Menentukan Kok Terbaik Bulutangkis. Jurnal Ilmiah Informatika (JIF), 6(2), 35-42.

Irsan, M. Y. T., Kasau, M. I., & Simbolon, I. P. (2019). Penggunaan Fuzzy Logic & Metode Mamdani untuk Menghitung Pembelian, Penjualan dan Persediaan. Journal of Applied Accounting and Finance (JAAF), 3(1). DOI: http://dx.doi.org/10.33021/jaaf.v3i1.677 .

Nasyuha, A. H., Hutasuhut, M., & Ramadhan, M. (2019). Penerapan Metode Fuzzy Mamdani Untuk Menentukan Stok Produk Herbal Berdasarkan Permintaan dan Penjualan. Media Informatika Budidarma, 3(4). DOI: http://dx.doi.org/10.30865/mib.v3i4.1354 .

Asih, M. S. (2018). Sistem Pendukung Keputusan Fuzzy Mamdani pada Alat Penyiraman Tanaman Otomatis. Jurnal Sistem Informasi, 2(1).

Yenni, Y., & Irsan, M. (2017). Logika Fuzzy Menentukan Jumlah Produksi Berdasarkan Persediaan dan Jumlah Permintaan. Jurnal Edik Informatika, 3(2).

Prasetya, B., Setiawan, A. B., & Hidayatulail, B. F. (2019). Fuzzy Mamdani Pada Tanaman Tomat Hidroponik (Mamdani Fuzzy on Hydroponics Tomato Plants). Journal of Electrical and Electronic Engineering-UMSIDA (JEEE-U), 3(2). DOI: https://doi.org/10.21070/jeee-u.v3i2.2471 .

Martin, M., & Nilawati, L. (2018). Model Fuzzy Mamdani untuk Penilaian Tingkat Kepuasan Pelayanan Pengaduan Masyarakat. Jurnal Informatika, 5(2). DOI: https://doi.org/10.31294/ji.v5i2.4170 .

Purwandito, R., Suyitno, H., & Alamsyah, A. (2019). Penerapan Sistem Inferensi Fuzzy Metode Mamdani untuk Penentuan Jumlah Produksi Eggroll. Unnes Jurnal Journal of Mathematics, 8(1): 1-10.

Harianto, P., & Wardoyo, R. (2018). Sistem Pendukung Keputusan Penentuan Atlet Berbakat Menggunakan Metode Fuzzy Mamdani. Journal of Mathematics and Natural Sciences 25(3), 233-241.

Abdurasyid., Susanti, M. N. I., & Ningsih, D. S. (2017). Implementasi Metode Fuzzy Mamdani Pada Aplikasi Inventory untuk Prediksi Pengadaan Barang di PT Pertamina (Persero) Perkapalan. Jurnal Pengkajian dan Penerapan Teknik Infomatika 10(2). DOI: https://doi.org/10.33322/petir.v10i2.18 .

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Published
2021-03-31
Issue
Vol. 3, No. 1 (March 2021)
Section
Articles
How to Cite
Jufriadi. (2021). Logika Fuzzy dengan Metode Mamdani dalam Menentukan Tingkat Peminatan Tipe Motor Honda. Jurnal Informatika Ekonomi Bisnis, 3(1), 22-27. https://doi.org/10.37034/infeb.v3i1.60
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       This work is licensed under a Creative Commons Attribution 4.0 International Public License (CC BY 4.0).