Maharani, Sri Ulfa (2021) Klasifikasi Status Gizi pada Ibu Hamil menggunakan Metode K-Nearest Neighbor (Studi Kasus UPTD Puskesmas Kemalaraja Baturaja Timur). Tugas Akhir thesis, Universitas Teknologi Yogyakarta.
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Abstract
DETERMINATION OF NUTRITIONAL STATUS IN PREGNANT WOMEN USING K-NEAREST NEIGHBOR METHOD (Case Study of UPTD Puskesmas Kemalaraja East Baturaja) Sri Ulfa Maharani, Joko Aryanto Information Systems Study Program, Faculty of Science & Technology University of Technology Yogyakarta Jl. Ringroad Utara Jombor Sleman Yogyakarta E-mail : sriulfamaharani@gmail.com, joko.aryanto@uty.ac.id, ABSTRACT UPTD Puskesmas Kemalaraja serves pregnant women for nutritional control so that pregnant women better understand the importance of nutritional stability during pregnancy. Malnutrition in pregnant women can lead to anemia, birth defects, low baby weight and miscarriage. Accuracy in determining the nutritional status of pregnant women accurately takes a long time so that an algorithm is needed, especially in a classification that is easy to interpret and implement in a decision support system. In facilitating the decision making on the nutritional status of pregnant women, a classification system for the nutritional status of pregnant women is needed. The classification will use the KNN (K-Nearest Neighbor) method to calculate the assessment of healthy and unhealthy pregnant women seen from several conditions such as weight, height, Body Mass Index (BMI), Upper Arm Circumference (LILA) and Uterine Fundal Height ( TFU). With this research, it is hoped that it can help puskesmas officers in controlling the nutrition of pregnant women by providing education and guidance on good nutrition during pregnancy and being able to make the right decisions and preparations for the delivery process. Keywords: Classification, KNN (K-Nearest Neighbor), Decision Support, Maternal Nutrition
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Sistem Informasi |
| Depositing User: | Kaprodi S1 Sistem Informasi UTY |
| Date Deposited: | 18 Oct 2021 04:19 |
| Last Modified: | 18 Oct 2021 04:19 |
| URI: | http://eprints.uty.ac.id/id/eprint/8491 |
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