Wirasanjaya, I Putu Artha (2025) Sistem Pendukung Keputusan dalam Penentuan Status Gizi Balita dengan Fuzzy Tsukamoto (Studi Kasus Puskesmas 1 Denpasar Selatan). Undergraduate thesis, Politeknik Negeri Bali.

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Abstract

Toddler growth and development are important factors that determine the quality of life in the future, especially in the golden period of the first three years of life. In this phase, children experience rapid physical growth and cognitive development, requiring regular monitoring of nutritional status to prevent obstacles that can have long-term impacts on health. In Indonesia, this monitoring is generally carried out through Posyandu (Integrated Service Posts), but toddler data recording by cadres is still carried out manually, even though some Posyandus have used Microsoft Excel, the process still takes a long time and risks causing recording errors and delays in reporting. Seeing current technological developments, especially in the field of artificial intelligence, this study attempts to utilize the Fuzzy Tsukamoto algorithm in building a web-based Decision Support System (DSS) to determine the nutritional status of toddlers and test its level of accuracy. The object of the study is the process of determining the nutritional status of toddlers at Puskesmas 1 South Denpasar with data collection through observation, interviews, and literature studies. The system was developed using the Waterfall method, the CodeIgniter 3 framework, and a MySQL database, with input in the form of toddler identity, age, weight, and height, then producing output nutritional status categories referring to the standards of Permenkes No. 2 of 2020. Test results showed that the system achieved an accuracy rate of 88% based on comparison with anthropometric methods on 25 data samples, of which 22 samples matched and 3 samples had different classifications. Thus, this system can help health workers determine the nutritional status of toddlers more quickly, easily, and accurately, as well as support improvements in recording efficiency, reporting speed and the quality of child health services.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Decision Support System, Fuzzy Tsukamoto, Toddler Nutritional Status, Integrated Health Post, Anthropometry
Subjects: Ilmu Teknik > Teknik Elektro Dan Informatika
Ilmu Teknik > Teknik Elektro Dan Informatika > Teknologi Informasi
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknologi Rekayasa Perangkat Lunak > Skripsi
Depositing User: I Putu Artha Wirasanjaya
Date Deposited: 16 Sep 2025 13:39
Last Modified: 16 Sep 2025 13:39
URI: https://repository.pnb.ac.id/id/eprint/21111

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