Deteksi Tepi untuk Mendeteksi Kondisi Otak Menggunakan Metode Prewitt

Authors

  • Irzal Arief Wisky Universitas Putra Indonesia YPTK Padang
  • Sumijan Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/jitekin.v12i2.68

Keywords:

Brain Health, Magnetic Resonance Imaging, Prewitt Method, Edge Detection, Noise

Abstract

The brain is an organ that is in the head as a controller of all functions of the human body, thus enabling humans to think and solve problems. Brain health conditions are very important in keeping the body's functions running properly. Several diseases can adversely affect brain health, such as cancer, tumors, meningitis, encephalitis and other brain diseases. Brain conditions can be identified through Magnetic resonance imaging (MRI). This study aims to identify brain conditions based on Brain Edge Detection on MRI images. The technique used is Prewitt method. The stages of the process carried out in edge detection begun with the pre-processing process in reducing the noise contained in the MRI image. The number of MRI images tested was 25. The results of this study can localize the edges of the image very well. The accuracy of this study is 85%, so this research can be recommended in identifying brain organs.

References

Anisah, Z. (2019). Relevansi operasional bahasa dengan otak manusia. Stilistika: Jurnal Pendidikan Bahasa dan Sastra, 12(2), 187-196. http://dx.doi.org/10.30651/st.v12i2.2901

Huda, A. M. (2020). Otak dan Akal dalam Kajian Al-Quran dan Neurosains. Jurnal Pendidikan Islam Indonesia, 5(1), 67-79. https://doi.org/10.35316/jpii.v5i1.242

Wahyudi, A. K., Utama, E. S., & Ngantung, R. R. (2019). Alat Peraga Mixed Reality untuk Pembelajaran Anatomi Otak Manusia dengan Interaksi Occlusion Detection. CogITo Smart Journal, http://dx.doi.org/10.31154/cogito.v4i2.140.337- 347

Willy, T. Pengertian Kanker Otak, 20 September 2018.[Online]. Available: https://www.alodokter.com/kanker- otak. [Accessed 05 Juli 2022].

Fujiyanto. Mengenal Kanker Otak, 4 April 2018. [Online]. Available: yayasankankerindonesia.org/article/mengenal- kanker-otak. [Accessed 05 Juli 2022].

Bani, A. U., & Nugroho, F. (2020). Sistem Pakar Dalam Diagnosa Penyakit Tuberkulosis Otak Menggunakan Metode Certainty Factor. Jurnal Media Informatika Budidarma, 4(4),1170-1174. http://dx.doi.org/10.30865/mib.v4i4.2507

Sari, W. S., Sari, C. A., & Setyawan, R. (2020). Wiener Filter Untuk Optimasi Identifikasi MRI Tumor Otak Berbasis Fuzzy C-Means. Prosiding Seminar Nasional LPPM UMP, pp. 667- 674.

Riley, R., Murphy, J., & Higgins, T. (2018). MRI imaging in pediatric appendicitis. Journal of Pediatric Surgery Case Reports, 31, 88-89. https://doi.org/10.1016/j.epsc.2018.02.008

Bagus, I., Mahadya, L., Hartati, R.S. & Divayana, Y. (2019) Diagnosa Tumor Otak Berdasarkan Citra MRI (Magnetic Resonance Imaging), Majalah Ilmiah Teknologi Elektro, vol. 18, pp. 149–154.https://doi.org/10.24843/MITE.2019.v18i02.P01

Winangun, P.P., Widyantara, I.M.O., & Hartati, R.S. (2020) Learning Machine dengan Kernel Linear untuk Mengklasifikasi Kelainan Paru-Paru,” Majalah Ilmiah Teknologi Elektro, vol. 19, no. 1, pp. 83–88. https://doi.org/10.24843/MITE.2020.v19i01.P12

Wahid, J., & Astuti, R. J. (2020). Penerapan Metode Hypnoteaching Dalam Upaya Meningkatkan Kecerdasan Otak Peserta Didik. Reslaj: Religion Education Social Laa Roiba Journal, 2(1), 67-97.

Sriyati, S., Setyanto, A., & Luthfi, E. E. (2020). Literature Review: Pengenalan Wajah Menggunakan Algoritma Convolutional Neural Network. Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), 8(2). http://dx.doi.org/10.30646/tikomsin.v8i2.463

Budiwaluyo, H., & Muhid, A. (2021). Manfaat Bermain Papercraft Dalam Meningkatkan Kreativitas Berpikir Pada Anak Usia Dini: Literature Review. Pedagogi: Jurnal Anak Usia Dini dan Pendidikan Anak Usia Dini, 7(1), 76-93. http://dx.doi.org/10.30651/pedagogi.v7i1.6889

Hidayati, A. P., Fauzi, H., & Rizal, A. (2020). Perancangan Sistem Brain Computer Interface Untuk Klasifikasi Demensia Berdasarkan Sinyal Electroenchephalograph Dengan Metode Hilbert Huang Transform. eProceedings of Engineering, 7(3).

Febrianti, A. S., Sardjono, T. A., & Babgei, A. F. (2020). Klasifikasi Tumor Otak pada Citra Magnetic Resonance Image dengan Menggunakan Metode Support Vector Machine. Jurnal Teknik ITS, 9(1), A118-A123. 10.12962/j23373539.v9i1.51587

Hidayat, R., Cahyadi, T. A., Winarno, E., Saptono, S., & Koesnaryo, S. (2020). A Review of Artificial Intelligent for Prediction Ground Vibration in Blasting. ReTII, 187- 193.

Sitohang, B., & Sindar, A. (2020). Analisis Dan Perbandingan Metode Sobel Edge Detection Dan Prewit Pada Deteksi Tepi Citra Daun Srilangka. Jurnal Nasional Komputasi dan Teknologi Informasi, 3(3), 314-322. https://doi.org/10.32672/jnkti.v3i3.2511

Sinaga, A. S. R. (2020). Sistem Deteksi Biometrik Keunikan Wajah Secara Real Time.Indonesian Journal of Applied Informatics, 4(1), 30-35. https://doi.org/10.20961/ijai.v4i1.35562

Hutagalung, J. I. (2020). Asuhan Keperawatan Pada Klien Yang Mengalami Stroke Hemoragik Dengan Hambatan Mobilitas Fisik Dalam Penerapan Terapi Range Of Motion di Rumah Sakit Umum Dr. Ferdinand Lumban Tobing Sibolga Tahun 2020. Poltekkes Medan.

Aripin, S., Sarumaha, L., & Sinaga, M. N. (2020). Implementasi Metode Laplacian of Gaussian Dalam Deteksi Tepi Citra Gigi Berlubang. Seminar Nasional Teknologi Komputer & Sains (SAINTEKS). 1(1). 393-396.

Saenudin, M., Haq, F., & Adam, R. I. (2021). Classification of Covid-19 Using Feature Extraction GLCM and SVM Algorithm. Jurnal Mantik, 5(1), 179-183. https://doi.org/10.35335/mantik.Vol5.2021.1284.pp179-183

Downloads

Published

2022-12-27

How to Cite

Arief Wisky, I., & Sumijan. (2022). Deteksi Tepi untuk Mendeteksi Kondisi Otak Menggunakan Metode Prewitt. Jurnal Teknologi, 12(2), 34–39. https://doi.org/10.35134/jitekin.v12i2.68

Issue

Vol. 12 No. 2 (2022): Jurnal Teknologi

Section

Articles

License

Copyright (c) 2022 Jurnal Teknologi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.