Detail Laporan TA : RIYANTO YUSUF WIJAYA

RIYANTO YUSUF WIJAYA (2018) SISTEM INFORMASI GEOGRAFIS PEMANTAUAN GIZI BALITA DI KELURAHAN SUNYARAGI DENGAN METODE SUPPORT VECTOR MACHINE Skripsi, Teknik Informatika
Politeknik Negeri Indramayu.

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Monitoring of Nutritional Status (PSG) in children under five years old (toddlers) is a program from the government through the Ministry of Health. This is important to ensure that the growth and development of Indonesian children occur ideally and adequately according to their age. PSG also aims to classify good nutritional status and poor nutritional status. This classification is important so that the government and community institutions under the Health Service can carry out targeted assistance programs. Including in Sunyaragi Village, Kesambi District, Cirebon City. Through the Sunyaragi Health Center, monitoring of under-five nutrition is carried out in every RW and Posyandu in all Sunyaragi Villages. Unfortunately, the results of the PSG are still done manually so that the Sunyaragi Health Center implements nutritional assistance programs for children evenly, without considering the special assistance programs that must be given to one RW / Posyandu. Therefore, a geographic information system for monitoring the nutritional status in Sunyaragi Village is needed which then becoming the focus of this research. The system development method in this study uses Waterfall, while the classification of good and bad nutritional status uses the Support Vector Machine (SVM) algorithm. The parameter used is Body Weight / Age (W/U). To train SVM, this study used a total of 1,004 datasets, 954 training data, and 50 testing data so that the results match the WHO NCHS table. In the trial phase, which input 954 training data and 50 testing data, the results obtained an accuracy rate of 88%. Keywords: Anthropometric Index, Classification of Toddler Nutritional Status, Geographic Information System, Support Vector Machine (SVM) Algorithm.