LOGIKA FUZZY UNTUK MENENTUKAN ASUPAN KALORI PADA TERAPI DIET TERHADAP PENDERITA OBESITAS

Authors

  • Maha Rani Prodi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Putra Indonesia YPTK Padang

Abstract

It takes time for a while to determine calory intake for diabetics. Computer technology has been growing rapidly, that can help human life even outside the field of computer science. One of the ways to fulfill those needs is by using fuzzy methode. Fuzzy methode has been applicated in many fields, especially in health. In diet theraphy, obesity can be prevented by restriction in food intake, called diet. Calory intake is determined manually by counting ideal weight combined with other weight. In this research, researcher use fuzzy logic to determine calory intake for patients with obesity when nutrition section still use counting ideal weight, basal needs and activity manually. Therefore, it is a need a methode that can determine calory intake in diet therapy for the sake of a new knowledge and more competitive like for Puskesmas Ambacang.Keywords : Fuzzy Logic, Mamdani Method, Calory Intak

References

Agus Naba (2009), “Belajar Cepat Fuzzy Logic Menggunakan Matlabâ€, Andi Publisher, Yogyakarta.

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Fitriani Matondang, dkk (2007), “Fuzzy Logic Metode Untuk Membantu Diagnosa Dini Autism Spectrum Disorderâ€, Universitas Islam Negeri (UIN) Maulana Malik Ibrahim, Malang.

Hoseinzadeh B, et al (2011), “Development Of A Fuzzy Model To Determine The Optimum Shear Strength Of Wheat Stemâ€, International Journal Of Computer Science And Telecommunication, Islamic Azad University,Ira

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Published

2018-12-05

How to Cite

Rani, M. (2018). LOGIKA FUZZY UNTUK MENENTUKAN ASUPAN KALORI PADA TERAPI DIET TERHADAP PENDERITA OBESITAS. Jurnal Inovasi Teknik Informatika, 1(2), 20–24. Retrieved from http://journal.universitaspahlawan.ac.id/index.php/jiti/article/view/29