The Application of Mamdani Method for Predicting The Best Portable Computer Based on Hardware and Price

Gelar Lailatul Qodar(1*),

(1) Universitas Muhammadiyah Sukabumi
(*) Corresponding Author


A portable computer is a technology tool widely used among students and students. With a very helpful role as in typing needs, presentations, and math calculations. A variety of carry-on computers that many certainly make one difficult to determine a decent and good portable computer to use. In general, in the process of selecting a portable computer, there is no recognized standard to determine the recommended portable computer level. The purpose in this research is to produce predictive values that will be a reference in supporting decisions in determining a portable computer that complies with hardware component criteria and pricing. This study implemented FIS Mamdani models with the analysis stage of the formation of fuzzy sets, application of implications function, rule composition and defuzification. The result of this research is an output of predictive value based on hardware component inputs and prices that will assist the user in supporting decisions in determining the best carry-on computer and according to what they want.

Keywords: Predictions, Fuzzy Inference System, Mamdani methods, portable computers, students.


Predictions; Fuzzy Inference System; Mamdani methods; portable computers; students

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Ardianty, D. A. N., & Yunus, M. (2017). Rancang Bangun Sistem Fuzzy untuk Rekomendasi Pemilihan Laptop. Skripsi, S. Kom., Teknologi Informatika, STMIK Bumigora Mataram, Nusa ….

Bobyr, M. V, Milostnaya, N. A., & Kulabuhov, S. A. (2017). A method of defuzzification based on the approach of areas’ ratio. Applied Soft Computing, 59, 19–32.

Budiharto, W., & Suhartono, D. (2014). Artificial Intelligence Konsep dan Penerapannya. Yogyakarta: Andi.

Duţu, L.-C., Mauris, G., & Bolon, P. (2017). A fast and accurate rule-base generation method for Mamdani fuzzy systems. IEEE Transactions on Fuzzy Systems, 26(2), 715–733.

Haerani, E. (2014). Analisa Kendali Logika Fuzzy Dengan Metode Defuzzifikasi COA (Center of Area), Bisektor, MOM (mean of Maximum), LOM (Largest of Maximum), DAN SOM (Smallest of Maximum). Jurnal Sains Dan Teknologi Industri, 10(2), 245–253.

Ikhwan, A. (2019). Penerapan Fuzzy Mamdani Untuk Sistem Pendukung Keputusan Pemilihan Laptop. JURNAL FASILKOM, 9(2), 476–483.

Kusumadewi, S., & Purnomo, H. (2010). Aplikasi Logika Fuzzy untuk pendukung keputusan. Yogyakarta: Graha Ilmu, 33–34.

Mamoria, P., & Raj, D. (2016). Comparison of mamdani fuzzy inference system for multiple membership functions. International Journal of Image, Graphics and Signal Processing, 8(9), 26.

Naba, A. (2009). Belajar cepat fuzzy logic menggunakan matlab. Yogyakarta: Andi.

Taufik, A., Widiastuti, T., & Rumlaklak, N. D. (2018). Pemilihan Laptop atau Notebook dengan Metode Fuzzy Mamdani dan Skoring. Jurnal Komputer Dan Informatika, 6(2), 1–7.

Zulfikar, W. B., Prasetyo, P. K., & Ramdhani, M. A. (2018). Implementation of mamdani fuzzy method in employee promotion system. IOP Conference Series: Materials Science and Engineering, 288(1), 12147.


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