Klasifikasi Malaria melalui Penggunaan Convolutional Neural Network pada Citra Sel Darah

Authors

  • Rabiahtul Adawiah Hasyani Universitas Negeri Medan
  • Silvana Maretha Simbolon Universitas Negeri Medan
  • Yasmin Mufida Universitas Negeri Medan
  • Yolanda Ester Berliana Ritonga Universitas Negeri Medan

DOI:

https://doi.org/10.55606/srjyappi.v1i6.853

Keywords:

Malaria, Convolutional Neural Networks (CNN), Data Augmentation

Abstract

Malaria is a global health challenge with significant impact in various countries. This study aims to analyze the effect of data augmentation on the performance of Convolutional Neural Networks (CNN) in malaria classification. The dataset used involves red blood cell images, with the main focus on the detection of Plasmodium parasites as the cause of malaria. Two CNN models were implemented, namely the model without data augmentation and the model with data augmentation. The model without augmentation showed a test score of 94%, while the model with augmentation showed a significant performance improvement with a test score of 96%. The overall accuracy of the augmented model on the test set reached 94%, signifying a significant improvement in diagnostic accuracy.

References

Autino, B., Noris, A., Russo, R., & Castelli, F. (2012). Epidemiology of malaria in endemic areas. (ed.): Mediterranean journal of hematology and infectious diseases. 4(1).

Cahya, F. N., Hardi, N., Riana, D., & Hadiyanti, S. (2021). Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network (CNN). Sistemasi, 10(3), 618. https://doi.org/10.32520/stmsi.v10i3.1248

Dr. Budi Raharjo, S. K. . M. K. . M. (2022). Deep Learning dengan Python.

Handayani, W., & A. Haribowo, A. (n.d.). Buku Ajar Asuhan Keperawatan Dgn Gangguan Sistem Hematologi - Google Books. Retrieved December 2, 2023, from https://www.google.co.id/books/edition/Buku_Ajar_Asuhan_Keperawatan_Dgn_Ganggua/PwLdwyMH9K4C?hl=id&gbpv=1&dq=pengertian+malaria&pg=PA65&printsec=frontcover

Harahap, M., Jefferson, J., Barti, S., Samosir, S., & Turnip, C. A. (2020). Implementation of Convolutional Neural Network in the classification of red blood cells have affected of malaria. SinkrOn, 5(2), 199–207. https://doi.org/10.33395/sinkron.v5i2.10713

Huda, N., Prayogi, S. Y., Ahmad, M. A., & Dewi, A. Y. (2022). Klasifikasi Malaria Menggunakan Metode Image Processing Dari Sel Darah Merah Dengan Algoritma Convolutional Neural Network. JOINS (Journal of Information System), 7(2), 166–177. https://doi.org/10.33633/joins.v7i2.7068

IBRAHIM, N., LESTARY, G. A., HANAFI, F. S., SALEH, K., PRATIWI, N. K. C., HAQ, M. S., & MASTUR, A. I. (2022). Klasifikasi Tingkat Kematangan Pucuk Daun Teh menggunakan Metode Convolutional Neural Network. ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, 10(1), 162. https://doi.org/10.26760/elkomika.v10i1.162

Karim, A. A., Prasetyo, M. A., & Saputro, M. R. (2023). Perbandingan Metode Random Forest, K-Nearest Neighbor, dan SVM Dalam Prediksi Akurasi Pertandingan Liga Italia. Stains (Seminar Nasional Teknologi & Sains), 2(1), 377–382.

Maulana, F. F., & Rochmawati, N. (2020). Klasifikasi Citra Buah Menggunakan Convolutional Neural Network. Journal of Informatics and Computer Science (JINACS), 1(02), 104–108. https://doi.org/10.26740/jinacs.v1n02.p104-108

Prabowo, D. A. (n.d.). Malaria: Mencegah dan Mengatasi.. - Google Books. Retrieved December 2, 2023, from https://www.google.co.id/books/edition/Malaria_Mencegah_dan_Mengatasi/e0XK6dmJbDsC?hl=id&gbpv=1&dq=malaria+adalah&pg=PA12&printsec=frontcover

Putri Ayuni, D., Jasril, Irsyad, M., Yanto, F., & Sanjaya, S. (2023). Augmentasi Data Pada Implementasi Convolutional Neural Network Arsitektur Efficientnet-B3 Untuk Klasifikasi Penyakit Daun Padi. ZONAsi: Jurnal Sistem Informasi, 5(2), 239–249. https://doi.org/10.31849/zn.v5i2.13874

Pulung Adi Nugroho, I. F. (2020). Implementasi Deep Learning Menggunakan Convolutional Neural Network (CNN) Pada Ekspresi Manusia. Jurnal Algor, 2, 10.

Saksenata, A. F., Minarno, A. E., & Azhar, Y. (2022). Klasifikasi Citra Sel Darah

Untuk Penyakit Malaria Dengan Metode CNN. Jurnal Repositor, 4(2), 185–194. https://doi.org/10.22219/repositor.v4i2.1283

Sihombing, J. (2019). Penerapan Stack Dan Queue Pada Array Dan Linked List Dalam Java. Jurnal Ilmiah Infokom, 7(2), 15–24.

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Published

2023-12-09

How to Cite

Rabiahtul Adawiah Hasyani, Silvana Maretha Simbolon, Yasmin Mufida, & Yolanda Ester Berliana Ritonga. (2023). Klasifikasi Malaria melalui Penggunaan Convolutional Neural Network pada Citra Sel Darah. Student Research Journal, 1(6), 287–298. https://doi.org/10.55606/srjyappi.v1i6.853

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