- WHO, “Priority eye diseases,” 2019. [Online]. Available: https://www.who.int/blindness/causes/ priority/en/index1.html. [Accessed: 11 Aug 2019]
- S. Siswoyo, L. A. Susuma, and S. Rahayu, “Hubungan tingkat pengetahuan dengan upaya pencegahan penyakit glaukoma pada klien berisiko di wilayah kerja puskesmas Jenggawah kabupaten Jember,” Pustaka Kesehatan, vol. 6, no. 2, pp. 286-291, 2018
- American Academy of Ophthalmology, “Eye disease,” 2019. [Online]. Available: http://www.aao-igh.com/. [Accessed: 11 Aug 2019]
- I. W. B. Sentana and A. E. Wardani, “Pengolahan citra untuk klasifikasi penyakit katarak,” Semnasteknomedia Online, vol. 3, no. 1, pp. 6–8, 2015
- E. P. Purwandari, R. U. Hasibuan, and D. Andreswari, "Identifikasi jenis bambu berdasarkan tekstur daun dengan metode gray level co-occurrence matrix dan gray level run length matrix," Jurnal Teknologi dan Sistem Komputer, vol. 6, no. 4, pp. 146-151, 2018. doi: 10.14710/jtsiskom.6.4.2018.146-151
- A. Kadir and A. Susanto, Teori dan aplikasi pengolahan citra digital. Yogyakarta: Andi, 2013
- S. Anwar and U. Sudibyo, “Implementasi metode jaringan syaraf tiruan backpropagation untuk prediksi penyakit glaukoma di kota Pati,” Skripsi, Universitas Dian Nuswantoro, Indonesia, 2017
- D. S. Tobias and A. R. Widiarti, “Deteksi glaukoma pada citra fundus retina dengan metode k-nearest neighbor,” in Seminar Nasional Ilmu Komputer (SNIK 2016), Semarang, Indonesia, Oct. 2016, pp. 92–99
- R. Z. I. Ramli, R. D. Atmaja, and I. Widjayanto, “Deteksi dan klasifikasi stadium katarak senilis berdasarkan citra mata menggunakan metode support vector machine (SVM),” e-Proceeding of Engineering, vol. 5, no. 2, pp. 2023–2030, 2018
- A. Halim, H. Hardy, and M. Mytosin, “Aplikasi image retrieval dengan histogram warna dan multi-scale GLCM,” Jurnal SIFO Mikroskil, vol. 16, no. 1, pp. 41-51, 2015
- S. R. Listyanto, “Implementasi k-nearest neighbor untuk mengenali pola citra dalam mendeteksi penyakit kulit,” Skripsi, Universitas Dian Nuswantoro, Indonesia, 2018
- S. Yastika, “Identifikasi penyakit anemia defisiensi besi berdasarkan kelainan sel darah merah menggunakan metode probabilistic neural network,” Skripsi, Universitas Dian Nuswantoro, Indonesia, 2018
- N. Saragih, “Identifikasi penyakit hepatocellular carcinoma (HCC) pada citra ct-scan menggunakan probabilistic neural network,” Skripsi, Universitas Sumatera Utara, Indonesia, 2018
- T. Arifin, D. Riana, and G. I. Hapsari, “Klasifikasi statistikal tekstur sel pap smear dengan decision tree,” Jurnal Informatika, vol. 1, no. 1, pp. 1-7, 2014. doi: 10.31311/ji.v1i1.180
- S. Supangat, A. R. Amna, and T. Rahmawati, “Implementasi decision tree C4.5 untuk menentukan status berat badan dan kebutuhan energi pada anak usia 7-12 tahun,” Teknika, vol. 7, no. 2, pp. 5-10, 2018. doi: 10.34148/teknika.v7i2.90
- T. Hidayatulloh, A. Herliana, and T. Arifin, “Klasifikasi Sel tunggal pap smear berdasarkan analisis fitur berbasis Naive Bayes classifier dan particle swarm optimization,” Swabumi, vol. 4, no. 2, pp. I86-193, 2016
- S. A. Zega, “Penggunaan pohon keputusan untuk klasifikasi tingkat kualitas mahasiwa berdasarkan jalur masuk kuliah,” in Seminar Nasional Aplikasi Teknologi Informasi (SNATI), Yogyakarta, Indonesia, Jun. 2014, pp. 7-13
- A. Hermawan, A. R. Sukma, and R. Halfis, “Analisis algoritma klasifikasi C4.5 untuk memprediksi keberhasilan immunotherapy pada penyakit kutil,” Jurnal Teknik Komputer, vol. 5, no. 2, pp. 155-160, 2019. doi: 10.31294/jtk.v5i2.4851
- N. Yahya and A. Jananto, “Komparasi kinerja algoritma C4.5 dan Naïve Bayes untuk prediksi kegiatan penerimaan mahasiswa baru (studi kasus : Universitas Stikubank Semarang),” in Seminar Nasional Multi Disiplin 2019, Semarang, Indonesia, Jul. 2019, pp. 221-228
- A. Herliana, T. Arifin, S. Susanti, and A. B. Hikmah, “Feature selection of diabetic retinopathy disease using particle swarm optimization and neural network,” in 6th International Conference on Cyber and IT Service Management, Parapat, Indonesia, Aug. 2018, pp. 1-4. doi: 10.1109/CITSM.2018.8674295
- T. Arifin and A. Herliana, “Optimasi metode klasifikasi dengan menggunakan particle swarm optimization untuk identifikasi penyakit diabetes retinopathy,” Khazanah Informatika, vol. 4, no. 2, pp. 77-81, 2018. doi: 10.23917/khif.v4i2.6825
- Center For Biometrics and Security Research, “CASIA iris image databases,” 2005. [Online]. Available: http://www.cbsr.ia.ac.cn/english/IrisDa tabase.asp. [Accessed: 10-Jan-2019]
- WebMD, “Eye health center,” 2019. [Online]. Available: https://www.webmd.com/eye-health/
- R. C. Gonzalez, S. L. Eddins, and R. E. Woods, Digital image processing using Matlab. McGraw Hill Education, 2016
- R. Scherer, Computer vision methods for fast image classification and retrieval (studies in computational intelligence book 821). Springer, 2019
- T. Arifin, “Metode data mining untuk klasifikasi data sel nukleus dan sel radang berdasarkan analisa tekstur,” Jurnal Informatika, vol. 2, no. 2, pp. 425-433, 2015
- T. Arifin, “Klasifikasi inti sel pap smear berdasarkan analisis tekstur menggunakan correlation-based feature selection berbasis algoritma C4.5,” Jurnal Informatika, vol. 1, no. 2, pp. 123-129, 2014
- Y. Zhang, S. Wang, P. Phillips, and G. Ji, “Binary PSO with mutation operator for feature selection using decision tree applied to spam detection,” Knowledge-Based System, vol. 64, pp. 22-31, 2014. doi: 10.1016/j.knosys.2014.03.015
- M. Hall, I. H. Witten, E. Frank, and C. J. Pal, Data mining practical machine learning tools and techniques. Morgan aufmann, 2016
Last update: 2021-03-07 16:44:34
-
Detecting Alzheimer’s Disease by The Decision Tree Methods Based On Particle Swarm Optimization
Journal of Physics: Conference Series,
127 ,
2020.
doi: 10.1088/1742-6596/1641/1/012025
Last update: 2021-03-07 16:44:34
No citation recorded.
Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer

This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
Starting in 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that their article is original, written by the mentioned author(s), has never been published before, does not contain statements that violate the law, does not violate the rights of others, is subject to copyright that is held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
- Copyright and other proprietary rights related to articles, such as patents,
- The right to use the substance of the article in its own future works, including lectures and books,
- The right to reproduce articles for its own purposes,
- The right to archive articles yourself (please read our deposit policy), and
- The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of articles (for example, posting them to institutional repositories or publishing them in a book), with acknowledgment of its initial publication in this journal (Journal of Technology and Computer Systems).
If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. JTSiskom will not be held responsible for anything that may arise because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.