relation: https://eprints.untirta.ac.id/51674/
title: ANALISIS KLASIFIKASI KUALITAS KABEL TEGANGAN MENENGAH ISOLASI XLPE DENGAN ALGORITMA K - NEAREST NEIGHBOR
creator: AZIZI, SAID RAHMAN
subject: T Technology (General)
description: Over time, the quality of the cable decreases. This study conducted a cable assessment test and the results were classified using the K-Nearest Neighbor algorithm to make it easier to determine quality. The cable conditions were divided into 5 classes and the evaluation was carried out by testing the model performance using accuracy, precision, recall, and F1-score. The test results show that increasing the amount of training data can improve classification performance. With the addition of 100 training data, the K-NN algorithm with K=2 achieved the highest accuracy of 92.86%, precision 0.96, recall 0.9333, and F1-score 0.9378. These results indicate that K-NN can be used to classify underground cables, if supported by sufficient data and the selection of the right K parameters.
date: 2025-06-03
type: Thesis
type: NonPeerReviewed
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identifier: https://eprints.untirta.ac.id/51674/1/Said%20Rahman%20Azizi_3332210079_Fulltext.pdf
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identifier: https://eprints.untirta.ac.id/51674/2/Said%20Rahman%20Azizi_3332210079_01.pdf
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identifier: https://eprints.untirta.ac.id/51674/3/Said%20Rahman%20Azizi_3332210079_02.pdf
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identifier: https://eprints.untirta.ac.id/51674/4/Said%20Rahman%20Azizi_3332210079_03.pdf
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identifier: https://eprints.untirta.ac.id/51674/5/Said%20Rahman%20Azizi_3332210079_04.pdf
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identifier: https://eprints.untirta.ac.id/51674/6/Said%20Rahman%20Azizi_3332210079_05.pdf
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identifier: https://eprints.untirta.ac.id/51674/7/Said%20Rahman%20Azizi_3332210079_Ref.pdf
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identifier: https://eprints.untirta.ac.id/51674/8/Said%20Rahman%20Azizi_3332210079_Lamp.pdf
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identifier: https://eprints.untirta.ac.id/51674/9/Said%20Rahman%20Azizi_3332210079_CP.pdf
identifier:   AZIZI, SAID RAHMAN  (2025) ANALISIS KLASIFIKASI KUALITAS KABEL TEGANGAN MENENGAH ISOLASI XLPE DENGAN ALGORITMA K - NEAREST NEIGHBOR.  S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.