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All Journal Jurnal Buana Informatika
Mohammad Rizal Abidin
UIN Sunan Ampel Surabaya
Computer Science & IT

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Classification of Cumulonimbus Cloud Formation based on Himawari Images using Convolutional Neural Network model Googlenet Mohammad Rizal Abidin; Dian candra Rini Novitasari; Hani Khaulasari; Fajar Setiawan
Jurnal Buana Informatika Vol. 14 No. 02 (2023): Jurnal Buana Informatika, Volume 14, Nomor 2, Oktober 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v14i02.7417

Abstract

Cumulonimbus clouds (Cb) are dangerous for many human activities. To reduce this effect, a system to classify formations is needed. The formation of Cb clouds can be seen in the Himawari-8 IR image. This research aimed to create a Cb cloud classification system with Himawari-8 IR Enhanced imagery using the GoogleNet model CNN method. The total data used was 2026 image data. Parameter testing was carried out on the CNN GoogleNet model in this study, namely a data distribution ratio of 90:10 and 80:20. The probability of dropout is 0.6, 0.7, and 0.8. and batch sizes of 8, 16, 32, and 64. The trials conducted in this study yielded a sensitivity value of 100.00%, an accuracy of 99.00%, and a specificity of 99.60% obtained from the experimental data distribution of 90:10, probability 0.8, and batch size 8.
Co-Authors Dian Candra Rini, Dian Candra Fajar Setiawan Hani Khaulasari