RANCANG BANGUN E-STUNTING MENGGUNAKAN METODE HYPERPARAMETER TUNING BERBASIS PROGRESSIVE WEB APPLICATION (PWA)

Cahyo, Rayhan Zulfitri Dwi (2024) RANCANG BANGUN E-STUNTING MENGGUNAKAN METODE HYPERPARAMETER TUNING BERBASIS PROGRESSIVE WEB APPLICATION (PWA). S1 thesis, Universitas PGRI Madiun.

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Abstract

Toddler growth is an important health issue that requires serious attention, especially in the context of stunting which can have long-term impacts on children's physical and cognitive development. In an effort to improve the effectiveness of stunting detection in toddlers, this study aims to create an E-Stunting application using the Neural Network (NN) artificial intelligence model with a hyperparameter tuning method using the grid search technique. This application uses Progressive Web Application (PWA) technology which has the advantages of being accessible offline, easy installation, and automatic updates. The results of hyperparameter tuning optimization using the grid search technique produced an accuracy of 98% with a hyperparameter batch size of 32, dropout 0.2, and ADAM optimizer. The E-Stunting application is expected to be an effective tool in early detection of stunting in toddlers, allowing for faster and more targeted interventions. Thus, this application is expected to contribute to efforts to address stunting problems and support improving the quality of children's health.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	Machine Learning; Hyperparameter tuning; Progressive Web Application; Stunting
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	DWI ZULFITRI RAYHAN
Date Deposited:	20 Aug 2024 02:49
Last Modified:	20 Aug 2024 02:49
URI:	http://eprint.unipma.ac.id/id/eprint/1740

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