APLIKASI SISTEM PAKAR DIAGNOSIS STATUS GIZI ANAK METODE CASE BASED REASONING DAN ALGORITMA NEAREST NEIGHBOR

Aufar, Haikal and Cahyaningtyas, Rizqia and Hertina, Desi Rose (2019) APLIKASI SISTEM PAKAR DIAGNOSIS STATUS GIZI ANAK METODE CASE BASED REASONING DAN ALGORITMA NEAREST NEIGHBOR. Diploma thesis, ITPLN.

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Abstract

In this study, the authors discuss the diagnosis of nutritional status of children aged 1-24 months. The problem is to reduce the number of malnutrition in children which can have positive effects in various aspects. The author in this study uses the Case Based Reasoning method. Case Based Reasoning is a method of computer reasoning that uses a base of cases to overcome new problems found. Case Based Reasoning provides solutions to new cases based on the closeness between the case base and the new cases that occur. Case base consists of classification of nutritional status along with symptoms and the solution is obtained from case collection from pediatricians. The user will consult the system, then the system will provide the results of the consultation in the form of selected nutritional status and a chart of the child's growth and development based on the similarity value on a case basis. The result of this application is to provide an output in the form of a possible nutritional status of children and treatment solutions based on the similarity of new cases with a case base.

Pada penelitian ini, penulis membahas tentang diagnosis status gizi anak berusia 1-24 bulan. Permasalahan yang diangkat ialah untuk mengurangi angka malnutrisi pada anak yang dapat memberi efek positif dalam berbagai aspek. Penulis dalam penelitian ini menggunakan metode Case Based Reasoning. Case Based Reasoning ialah suatu metode penalaran komputer yang menggunakan basis kasus untuk mengatasi masalah baru yang ditemukan. Case Based Reasoning memberikan solusi terhadap kasus baru berdasarkan kedekatan antara basis kasus dengan kasus baru yang terjadi. Basis kasus terdiri dari klasifikasi status gizi beserta gejala dan solusinya diperoleh dari pengumpulan kasus dari dokter spesialis anak. Pengguna akan melakukan konsultasi pada sistem, lalu sistem akan memberikan hasil konsultasi berupa status gizi terpilih dan grafik pantau tumbuh kembang anak berdasarkan nilai kemiripan dengan basis kasus. Hasil dari aplikasi ini adalah memberikan output berupa kemungkinan status gizi anak dan solusi penanganan yang didasarkan pada kemiripan kasus baru dengan basis kasus.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Case Based Reasoning, Diagnosis, Child Nutritional Status Case Based Reasoning, Diagnosis, Status Gizi Anak
Subjects: Skripsi
Bidang Keilmuan > Teknik Informatika
Divisions: Fakultas Telematika Energi > S1 Teknik Informatika
Depositing User: Sudarman
Date Deposited: 17 Sep 2025 06:37
Last Modified: 17 Sep 2025 06:37
URI: https://repository.itpln.ac.id/id/eprint/1163

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