Sistem Pakar Dalam Diagnosa Penyakit Kanker Rahim Menggunakan Metode Naïve Bayes dan Certainty Factor
DOI:
https://doi.org/10.30865/mib.v5i1.2669Keywords:
Expert System, Uterine Cancer, Naïve Bayes, CFAbstract
The uterus is one of the reproductive organs, namely the mouth of the uterus which is very susceptible to cancer and very often women experience cancer due to a lack of health care. suffered by women in the uterus can be like cysts, cervical cancer, uterine cancer, vaginal cancer and others, cancer is also very difficult to cure so that patients eventually have to give up and face death. From this it is necessary to make a diagnosis from the beginning in order to minimize the number of deaths caused by cervical cancer which is faced by many women in the world, especially in Indonesia, in diagnosing this disease can use a computer system in collaboration with experts to produce a system called the system. experts as an effort to help solve problems that occur with uterine disease that is being experienced by some women. The results of this study will show the percentage level of disease experienced by patients by 88% with the help of implementing the naïve Bayes method and certainty factory
References
M. D. Shafer, “Sistem Pakar Pendektesi Penyakit Kanker Menggunakan Metode Demster Shafer,†pp. 13–18, 2013.
S. A. Putri and E. P. Saputra, “Perancangan Aplikasi Sistem Pakar Diagnosa Awal Kanker Reproduksi Wanita Dengan Metode Certainty Factor,†J. Media Inform. Budidarma, vol. 2, no. 3, pp. 63–68, 2018.
N. Zahroh and Y. Findawati, “Sistem Pakar Diagnosa Penyakit Kista Ovarium Menggunakan Metode Certainty Factor Berbasis Web,†Justit Umj, vol. 8, 2018.
M. Sihombing and M. Ayub, “Sistem Pakar Berbasis Web sebagai Alat Bantu Pembelajaran Mahasiswa Kedokteran untuk Penyakit Kanker Darah pada Anak,†J. Inform., vol. 6, no. 1, pp. 1–10, 2010.
Z. Chen, S. Liang, Y. Ke, Z. Yang, and H. Zhao, “Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China,†Geocarto Int., vol. 34, no. 4, pp. 348–367, 2019.
N. D. Prayoga, N. Hidayat, and R. K. Dewi, “Sistem Diagnosis Penyakit Hati Menggunakan Metode Naïve Bayes,†J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 8, pp. 2666–2671, 2018.
S. Effendi and Tukiran, Metode Penelitian Survei, II. Jakarta: LP3ES, 2012.
H. Hasanah, “TEKNIK-TEKNIK OBSERVASI (Sebuah Alternatif Metode Pengumpulan Data Kualitatif Ilmu-ilmu Sosial),†At-Taqaddum, vol. 8, no. 1, p. 21, 2017.
J. M. Corchado, J. F. De Paz, S. RodrÃguez, and J. Bajo, “Model of experts for decision support in the diagnosis of leukemia patients,†Artif. Intell. Med., vol. 46, no. 3, pp. 179–200, 2009.
Sri Hartati Sari Iswanti, Sistem Pakar dan Pengembangannya. Yogyakarta: Graha Ilmu, 2016.
E. Buulolo, Data Mining Untuk Perguruan Tinggi. Deepublish, 2020.
T. R. Patil and M. . Sherekar, “Performance Analysis of Naive Bayes and J48 Classification Algorithm for Data Classification,†Int. J. Comput. Sci. Appl., vol. 6, no. 2, pp. 256–261, 2013.
D. Srianto and E. Mulyanto, “Perbandingan K-Nearest Neighbor Dan Naive Bayes,†Techno.COM, vol. 15, no. 3, pp. 241–245, 2016.
A. S. Sembiring et al., “Implementation of Certainty Factor Method for Expert System,†J. Phys. Conf. Ser., vol. 1255, no. 1, 2019.
N. A. Hasibuan, H. Sunandar, S. Alas, and Suginam, “Sistem Pakar Mendiagnosa Penyakit Kaki Gajah Mengguanakan Metode Certainty Factor,†J. Ris. Sist. Inf. dan Tek. Inform., vol. 2, no. 1, pp. 29–39, 2017.
I. Sumatorno, D. Arisandi, A. P. U. Siahaan, and M. Mesran, “Expert System of Catfish Disease Determinants Using Certainty Factor Method,†Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 202–209, 2017.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
