CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT KEHAMILAN MENGGUNAKAN COSINE SIMILARITY

Main Article Content

Adelysa P Gitaswara
Sebastianus Adi Santoso Mola
http://orcid.org/0000-0002-1698-0758
Emerensiana S.Y Pandie

Abstract

The application of case-based reasoning in diagnosing pregnancy deseases is motivated by the lack of number of obstetricians. The use of CBR aims to solve new problems by adapting the solutions contained in the previous case, by calculating the level of similarity. Calculation of similarity value using cosine similarity method, with threshold equal to 100%. This system can diagnose 6 diseases, 28 existing symptoms. System outbreaks of illness experienced by patients based on symptoms induced by non-specialist medical personnel, as well as handling solutions accompanied by a presentation of similarities with previous cases to indicate the degree of truth of possible diagnosis. Based on the results of case testing, the results obtained: the system can retrieve the exact old case and have used the cosine similarity methodology correctly, shown with 100% accuracy results, and using 104 cases is optimal enough to diagnose 6 illnesses shown with average results Similarity to 20 cases is 90%.

Downloads

Download data is not yet available.

Article Details

How to Cite
Gitaswara, A., Mola, S., & Pandie, E. (2017). CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT KEHAMILAN MENGGUNAKAN COSINE SIMILARITY. Jurnal Komputer Dan Informatika, 5(2), 6-11. https://doi.org/10.35508/jicon.v5i2.359
Section
Articles

References

[1] http://www.depkes.go.id/infodatin.
[2] Cahyani.D., 2013, Sistem Deteksi Dini Diagnosa ISPA (Infeksi Saluran Pernapasan Akut) Pada Anak Dengan Metode Cosine Similarity, Skripsi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Sebelas Maret, Surakarta.
[3] Triana, A, 2014, Pemanfaatan Metode Vector Space Model dan Metode Cosine Similarity pada Fitur Deteksi Hama dan Penyakit Tanaman Padi, Naskah Publikasi, Unversitas Sebelas Maret, Surakarta.
[4] Eva Yulianti dan Eka Gusriani., 2013, Rekayasa Perangkat Lunak Konsultasi Penyakit Kehamilan Berbasis Kasus (Case Based Reasoning) di Puskesmas Gunung Talang, Jurnal teknologi dan informasi pendidikan, Universitas Negeri Padang, Vol 6, No 1.
[5] Aamodt, A., dan Plaza, E., 1994, Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications, Vol. 7, 39- 59.
[6] Karhendana, A., 2008. Pemanfaatan dokumen Clustering pada Agregator Berita. Skripsi Terpulikasi, Bandung: Institut Teknologi Bandung.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.