Instrumentasi Timbangan Bayi Untuk Pengukuran Tumbuh Kembang Berbasis Fuzzy Decision Support System

Fadhillah, Syania (2024) Instrumentasi Timbangan Bayi Untuk Pengukuran Tumbuh Kembang Berbasis Fuzzy Decision Support System. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan tumbuh kembang anak merupakan hal penting terutama di 1000 hari pertama kehidupan karena pertumbuhan dan perkembangan akan sangat pesat pada periode ini. Hal tersebut sering dikaitkan dengan masalah yang ada saat ini berupa permasalahan gizi dan kondisi lingkungan. Permasalahan gizi merupakan gangguan kesehatan yang terjadi akibat adanya ketidakseimbangan antara asupan dan kebutuhan tubuh. Untuk mengetahui kondisi tersebut, dapat dilakukan pengambilan data antropometri berupa berat dan panjang badan. Penelitian ini dirancang untuk mengkombinasikan pengukuran berat badan menggunakan sensor loadcell yang dihubungkan dengan modul ADS1232 sebagai rangkaian analog-digital converter dan panjang badan menggunakan rotary encoder. Proses komputasi data digunakan ESP32 Devkit V1. Data yang didapatkan diolah lebih lanjut menggunakan Personal Computer (PC) untuk mendapatkan nilai indeks massa tubuh menurut umur (IMT/U), berat badan menurut umur (BB/U) dan panjang badan menurut umur (PB/U). Metode pengolahan yang digunakan berbasis pada Fuzzy Decision Support System (FDSS) yang berfokus pada anak dengan rentang usia 0 sampai 12 bulan. Hasil penelitian menunjukkan bahwa timbangan yang dirancang telah mampu mengukur berat badan dan panjang badan, dengan tingkat kesalahan (eror) 0,52% pada pengukuran berat badan dan 0,42% pada pengukuran panjang badan. Dari 37 subjek yang berpartisipasi, didapatkan hasil normal 31 subjek PB/U, 32 BB/U dam 33 IMT/U. Selain itu, keluaran dari hasil klasifikasi menunjukkan kesesuaian dengan standar antropometri yang telah ditetapkan dan membuktikan bahwa metode FDSS dapat digunakan untuk klasifikasi kondisi pada bayi. Pengembangan selanjutnya dari penelitian ini yaitu pengembangan desain dan material yang digunakan agar sesuai dengan standar komersil, penambahan IoT (Internet of Things) untuk memudahkan integrasi sistem dan klasifiksi serta pengukuran dan pemantauan tumbuh kembang secara ekseklusif pada bayi.

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Monitoring a child's growth and development is important, especially in the first 1000 days of life, because their growth and development are very rapid. This is often related to current issues as factors that influence the growth and development of early childhood, including nutritional problems and environmental conditions. Nutritional issues arise due to an imbalance between intake and body needs, which is manifested in the form of stunting and low birth weight. Collecting anthropometric data, especially body weight and body length, is very important for assessing children`s nutritional status. Previous research developed a digital weighing system using a fuzzy decision support system, especially analysing BMI/U. This study advances by developing a digital scale that combines a loadcell sensor connected to an ADS1232 module for weight measurement and a rotary encoder for length measurement.This study advances by developing a digital scale that combines a loadcell sensor connected to an ADS1232 module for weight measurement and a rotary encoder for length measurement. Data processing uses the ESP32 Devkit V1. Further analysis on the Personal Computer (PC) calculates body mass index (BMI/U), weight per age (WW/U), and body length per age (PB/U) using the Fuzzy Decision Support System (FDSS), with Focus on children aged 0-12 months. The scale results accurately measure body weight and length with a minimum error rate of 0.52% and 0.42%. Of the 37 participating subjects, normal results were obtained for 31 subjects with PB/U, 32 with BB/U and 33 with BMI/U. The classification results were in line with established anthropometric standards, confirming the efficacy of FDSS in assessing infant condition. Further development of this study is the development of the design and materials used to comply with commercial standards, the addition of IoT (Internet of Things) to facilitate system integration and classification, and measurement and monitoring of growth and development exclusively in infants.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Pemantauan Tumbuh Kembang Anak, Fuzzy Decision, Berat Badan, Panjang Badan, Timbangan Bayi,Monitoring Child’s Growth, Fuzzy Decision, Body Weight, Body Length, Baby Weighing Scales
Subjects:	T Technology > T Technology (General) > T58.62 Decision support systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Syania Fadhillah
Date Deposited:	06 Aug 2024 05:24
Last Modified:	06 Aug 2024 05:24
URI:	http://repository.its.ac.id/id/eprint/113511

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