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All Journal Jurnal Pseudocode Edu Komputika Journal Sistemasi: Jurnal Sistem Informasi Jurnal Mantik Penusa Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Teknologi Informasi Ngabdimas Jurnal Sistem Informasi dan Aplikasi
LILIS DWI FARIDA
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Other

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Journal : Jurnal Pseudocode

 1 
Implementasi Dempster Shafer Untuk Deteksi Dini Gizi Buruk Pada Balita Ridwan Aji Pamungkas; Lilis Dwi Farida
Jurnal Pseudocode Vol 10 No 1 (2023): Volume 10 Nomor 1 Februari 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.10.1.21-28

Abstract

Malnutrition that occurs in toddlers is often caused by an unbalanced intake of nutritious food or caused by certain diseases. Malnutrition is also a cause of digestive disorders in toddlers. Parents who do not understand the problem of malnutrition, make parents not aware of the problems that occur in their children. So, to get accurate and fast information, we need a system that can solve this problem. The dempster shafer method was used in this study to perform early detection of malnutrition in children under five. In this expert system, 3 types of malnutrition can be detected with 23 related symptoms. From the expert accuracy tests that have been carried out, it can be concluded, based on 20 data on early detection of malnutrition in toddlers who have been tested, gives a match rate of 85%. The value of 85% is obtained from the calculation of 17 matching data compared to 20 test data.
Co-Authors Agastya, Denny Surya Akhmad Dahlan Ambarwati, Dwi Arini Ayu Anggono, Eko Tri Arif Akbarul Huda Aryanti, Putri Septiana ATIK NURMASANI Dani, Listya Septyan Eli Pujastuti, Eli Emigawaty Heri Sismoro Ika Asti Astuti Irma Rofni Wulandari Kusumaningrum, Andi Sutra Kusumarini, Novikasari Lukman M. Nuraminudin Melany Mustika Dewi Muhamad Yusuf Ismail Ridwan Aji Pamungkas Satrio Yudho Pangestu Siti Wijayanti SUPRIATIN Tita Meitri Vidjayanti Widiyanti Kurnianingsih Widjiati, Nur Wisanggeni, Bagus Wiwi Widayani Wiwi Widayani, Wiwi Yuli Astuti Yuli Astuti Yuli Astuti Yuli Elfandari Yuliana, Muhammad Rafi Nur