Sistem Pendukung Keputusan Penanganan Gizi Balita Dengan Metode Fuzzy Mamdani

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. Keywords: Decision Support System, Fuzzy Mamdani, Underfive Nutrition

Sistem Pendukung Keputusan Gizi dan Penentuan Stunting Berbasis Web di Posyandu Mutiara

“…Pada tahun 2018, [2] melakukan penelitian dengan judul "Sistem Pendukung Keputusan Penanganan Gizi Balita dengan Metode Fuzzy Mamdani." Penelitian ini mengatasi masalah dalam proses penanganan gizi buruk pada balita yang memakan waktu lama dalam pemeriksaan dan menunggu hasil.…”

Penerapan Metode Smart Pada Pemilihan Gizi Balita Terhadap Covid-19 Di Posyandu Desa Rambung Sialang

“…Pandemi Covid-19 juga dapat secara signifikan mempengaruhi pertumbuhan dan perkembangan anak-anak di seluruh dunia, melalui meningkatnya kebutuhan dan ketidakstabilan makanan, hilangnya figur orang tua, meningkatnya tekanan, dan berkurangnya perawatan medis [2]. Pada sebagian masyarakat sekarang ini, masih terdapat banyak balita yang masih kekurangan gizi seperti kurangnya kandungan protein, energi, asupan kalori, lemak, karbohidrat, serat, zat besi dan kalsium pada tubuh balita yang mungkin dapat mengganggu kesehatan balita tersebut [3].…”

“…Pada ketiga penelitian sebelumnya, hanya membahas permasalahan gizi dan kesehatan balita dengan metode Fuzzy Mamdani, Fuzzy Tsukamoto dan Simple Additive Weighting (SAW), yang mana masih banyaknya balita kekurangan gizi serta mengalami gizi buruk [3], [4], [6]. Dengan hadirnya virus covid-19 kesehatan dan gizi pada bayi dan balita harus lebih diperhatikan.…”

Fuzzy Tsukamoto for Determinen Linen Priority

“…Fuzzy logic is created because boolean logic does not have high accuracy, it only has 0 and 1 logic numbers. So to make a system with high accuracy, it cannot be done with Boolean logic used in fuzzy as follows: [14] a. Degree of membership The function is to give weight to an input that has been given, so that the input can be expressed as a value.…”