SISTEM DIAGNOSA KESUBURAN SPERMA DENGAN METODE K-NEAREST NEIGHBOR (K-NN)

Authors

  • Rizal Yepriyanto, Kustanto, Yustina Retno Wahyu Utami

DOI:

https://doi.org/10.30646/sinus.v13i2.216

Abstract

Patterns and lifestyle of people today lead a lot discovered problems or diseases suffered by humans that can damage the health. One of these sperm fertility problems in men who have declined in the last two decades. It was explained that environmental factors and lifestyle may affect sperm quality. Several factors can affect sperm fertility include age, high fever, smoking habits and alcohol consumption. It needs to make an application that can help diagnose early fertility of sperm. The process starts from the search criteria and make the training data by taking the results of the UCI Repository. The next step is the calculation of the K-NN method that gives results in the form of sperm diagnosis. Results of this research is a website application interface, and the results of testing the accuracy of the data K-NN performed with 60 training data and testing the data 20, obtained accuracy value by 85%.

Keywords: Fertility Sperm, Diagnosis, K-NN, Website

Downloads

Published

2015-07-07

How to Cite

Yustina Retno Wahyu Utami, R. Y. K. (2015). SISTEM DIAGNOSA KESUBURAN SPERMA DENGAN METODE K-NEAREST NEIGHBOR (K-NN). Jurnal Ilmiah SINUS, 13(2). https://doi.org/10.30646/sinus.v13i2.216

Issue

Vol. 13 No. 2 (2015): Juli 2015

Section

Articles

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 a Creative Commons Attribution License that allows others to share the work with an acknowledgement 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 acknowledgement 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 (See The Effect of Open Access).

 

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