Jurnal Informasi dan Teknologi
2024, Vol. 6, No. 3

Determining Factors Affecting Mother's Decisions in Providing and Selecting Infant Formula Using Data Mining - Decision Support System Collaborative

Iswavigra, Dwi Utari Iswavigra (Unknown)
Bella Gusniar (Unknown)
Miranda Ika Vania (Unknown)



Article Info

Publish Date
01 Oct 2024

Abstract

Indonesia is one of the countries with a population of around two hundred million people, ranking fourth after the United States in the list of the most populous countries in the world. According to data from the Central Statistics Agency (BPS), the birth rate is projected to reach 4.45 million people in 2022, an increase of 0.22% from the previous year, which was 4.45 million people. According to the 2007 Indonesian Demographic and Health Survey (IDHS), the rate of exclusive breastfeeding in Indonesia was only 32%. Factors such as maternal health, infant health, and formula milk promotions influence mothers' decisions to use formula milk. The availability of numerous formula brands complicates the decision-making process, with each brand offering different nutritional claims. This study employs the K-Medoids clustering algorithm to analyze factors affecting mothers' choices in formula feeding and the TOPSIS method to determine the most suitable formula for infants aged 0-6 months. The research involves clustering data from a questionnaire distributed to 100 mothers in the Solo Raya region into five categories: maternal health, maternal employment, formula promotion, infant health, and breastfeeding education. Results indicate that maternal health is the most influential factor, followed by infant health, maternal employment, and formula promotion. Lack of breastfeeding education does not significantly influence formula choice. The TOPSIS method, applied to evaluate 10 formula brands against six nutritional criteria, identifies Lactogen 1 as the best formula for infants aged 0-6 months with a highest value of 2.777104826. This data-driven approach provides a clear, systematic method for selecting an appropriate formula based on specific nutritional needs.

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Journal Info

Abbrev

jidt

Publisher

Subject

Computer Science & IT

Description

Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari ...