SISTEM PENDUKUNG KEPUTUSAN PENANGANAN GIZI BALITA DENGAN METODE FUZZY MAMDANI

Heru Budi Kusumo; Dwi Remawati; Yustina Retno Wahyu Utami

doi:10.30646/sinus.v16i1.331

SISTEM PENDUKUNG KEPUTUSAN PENANGANAN GIZI BALITA DENGAN METODE FUZZY MAMDANI

Authors

Heru Budi Kusumo STMIK Sinar Nusantara Surakarta, Indonesia
Dwi Remawati STMIK Sinar Nusantara Surakarta, Indonesia
Yustina Retno Wahyu Utami STMIK Sinar Nusantara Surakarta, Indonesia

DOI:

https://doi.org/10.30646/sinus.v16i1.331

Keywords:

Decision Support System, Fuzzy Mamdani, Underfive Nutrition

Abstract

Decision Support System is a branch of artificial intelligence used to help make decisions in semi-structured cases, where it is not known exactly how decisions should be made. In this research, the design and making of decision support system that is used to help determine the nutritional status of children with weight input, age, height, head circumference, nutrition value of toddlers and the output of nutritional status of children under five and their handling. The problem of data uncertainty in decision support system is solved by using fuzzy mamdani method. The existence of data uncertainty in the process can occur because of the differences in existing calculations on the system. The process of determining the nutritional status of this decision support system is begun by entering the input data of toddlers, where the system will display some variables that have been made then start the calculation with the application. The end result of this research is decision support system to do nutritional handling in toddler along with their nutrition result. The calculations show the level of confidence in the system of nutritional status of the toddler and from the results of this study obtained the system accuracy of 83.33% of the 18 test data that has been tested is obtained. Therefore, it can be concluded that decision support system produces a good examination.

References

Damayanti, R., Setyaningsih, S., & Qur'ania, A. (2014). Sistem Penunjang Keputusan Menentukan Status Gizi Pada Balita Dengan Menggunakan Metode Fuzzy. Bidang Ilmu Komputer Informatika , 1-7.

Dian, P. S., & Sri. . (2015). Sistem Pendukung Keputusan Penentuan Status Gizi Buruk Pada Balita Menggunakan Metode Fuzzy Mamdani. Penelitian Bidang Komputer Sains dan Pendidikan Informatika , 1-7.

Hermaduanti, N., & Kusumadewi, S. (2008). Sistem Pendukung Keputusan Berbasis SMS. (pp. 1-6). Yogyakarta: Universitas Islam Indonesia.

Ika, K. A., Fajar, S., & Taufiq , H. (2007). Sistem Pendukung Keputusan Penanganan Kesehatan Balita. Seminar Nasional Aplikasi Teknologi Informasi , 1-7.

Kusumadewi, S., & Purnomo, H. (2004). Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.

Lumbangaol, A., & Rosaria. (2013). Sistem Pendukung Keputusan Penanganan Gizi Buruk Pada Balita Menggunakan Metode Fuzzy Mamdani. Pelita Informatika Budi Darma, , IV, 1-5.

Mubarok, MN & Abadi, AM. (2015). Aplikasi Fuzzy Decision Making Dengan Menggunakan Metode Mamdani Penggandaan Dalam Pemilihan Smartphone. Seminar Nasional Matematika Dan Pendidikan Matematika UNY 2015 , 1-10.

Yokelin, T., Dharmaputra, P., & Andeka, R. T. (2013). SPK Penentuan Tingkat Kerentanan Gizi Buruk. Jurnal Teknologi Informasi-Aiti , 10, 1-12.

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Published

2018-01-17

How to Cite

Kusumo, H. B., Remawati, D., & Wahyu Utami, Y. R. (2018). SISTEM PENDUKUNG KEPUTUSAN PENANGANAN GIZI BALITA DENGAN METODE FUZZY MAMDANI. Jurnal Ilmiah SINUS, 16(1), 51–64. https://doi.org/10.30646/sinus.v16i1.331

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Issue

Vol. 16 No. 1 (2018): Januari 2018

Section

Articles

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