“Sistem Informasi Geografis Pemetaan Gizi Buruk dan Kemiskinan Di Jawa Timur”.

Irawan, Riswandha (2022) “Sistem Informasi Geografis Pemetaan Gizi Buruk dan Kemiskinan Di Jawa Timur”. Skripsi thesis, UNIVERSITAS BHAYANGKARA SURABAYA.

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Abstract

East Java province, about 4.7 million people still live below the poverty line. Similarly, poverty in East Java is also the province that contributes the largest number of malnutrition, which once reached around 11,056 cases of malnutrition in 2013. The KNN method is one of the methods used in the classification process. The reason for choosing the KNN (K-Nearest Neighbor) method is because this method can meet other variables in determining the status of poverty and nutrition of toddlers and also this method is a method used in classifying to find the closest distance between the data to be evaluated and the closest neighbors in the training data. Distance calculation using the Euclidean Distance formula. Based on the tests that have been carried out, it is found that the value of k given has an influence with the closest neighbor k 3 with an accuracy value of 94% while for the average accuracy obtained with K equal to 3 is 80. The highest precision value was obtained in the fifth test with a better precision value of 1. As for the worst precision, it was obtained in the eighth test, especially the high-class precision with a value of less than 0.1, which is 0.07. The highest recall value was obtained in the fifth test with a better recall value of 1. As for the worst recall, it was obtained in the eighth test, especially the high-class recall with a score of 0.33

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	East Java, Poverty Status, Nutritional Status, K-Nearest Neighbor, Euclidean Distance, Precision, Recall
Subjects:	000 - COMPUTER SCIENCE, INFORMATIONS & GENERAL WORKS > 000 Computer science, information & general works > 003 Systems > 003.1 System Identification 000 - COMPUTER SCIENCE, INFORMATIONS & GENERAL WORKS > 000 Computer science, information & general works > 003 Systems > 003.1 System Identification
Divisions:	Faculty of Engineering > Bachelor of Informations Technology
Depositing User:	Perpus Ubhara Surabaya
Date Deposited:	21 Jan 2025 03:52
Last Modified:	21 Jan 2025 03:58
URI:	http://eprints.ubhara.ac.id/id/eprint/2875

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