Published: 2023-10-01

Deteksi Cacat pada Isolasi Trafo Secara Visual menggunakan Algoritma Convolutional Neural Network (CNN)

DOI: 10.35870/jtik.v7i4.1067

Alfendio Alif Faudisyah, Kristoko Dwi Hartomo, Hindriyanto Dwi Purnomo
  • Alfendio Alif Faudisyah: Satya Wacana Christian University ROR
  • Kristoko Dwi Hartomo: Satya Wacana Christian University ROR
  • Hindriyanto Dwi Purnomo: Satya Wacana Christian University ROR
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Abstract

Transformer insulation is a dielectric material that has the function of selling two or more voltage electrical conductors. Damage to the transformer insulation will cause interference with the performance of the transformer so that it can cause the transformer to experience operational failure or even damage. This research builds a system that can classify defective and normal transformer insulation images. The Convolutional Neural Network method is implemented in model building. The research method begins with conducting research planning, dataset collection, data preprocessing, classification of development models, training models, as well as testing and evaluation. Based on the test results with standardized data size 180 x 180 x 3 pixels, it produces an accuracy of 0.9913 for training, 0.9884 for testing, and 1.00 for evaluation. Test results with standardized data size 240 x 240 x 3 pixels produce an accuracy of 0.9798 for training, 0.9651 for testing, and 0.94 for evaluation. Based on the research that has been done, shows that differences in data standardization can affect the results of the model performance

Keywords

Transformer Insulation; Image Classification; Convolutional Neural Network

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How to Cite

Faudisyah, A. A., Hartomo, K. D., & Purnomo, H. D. (2023). Deteksi Cacat pada Isolasi Trafo Secara Visual menggunakan Algoritma Convolutional Neural Network (CNN). Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 7(4), 620-628. https://doi.org/10.35870/jtik.v7i4.1067
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 7 No. 4 (2023)

  • Section: Computer & Communication Science

  • Published: 2023-10-01

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Author Biographies
Alfendio Alif Faudisyah, Satya Wacana Christian University
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia

Kristoko Dwi Hartomo, Satya Wacana Christian University
Google Scholar ResearchGate ORCID

Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia

Hindriyanto Dwi Purnomo, Satya Wacana Christian University
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia

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