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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Ahmad Kusumaatmaja
University of Gadjah Mada

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Novel method to classify varicocele using electronic nose Raden Aa Koesoema Wijaya; Ahmad Kusumaatmaja; Dicky Mochammad Rizal
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp165-173

Abstract

The prevalence of varicocele is estimated to be around 15-20% of the male population, and of these, about 35-40% are patients requiring infertility treatment. A varicocele is a dilation of the veins in the spermatic cord diagnosed by physical examination of the male genital area and assisted by scrotal ultrasound. The development of electronic nose technology provides an opportunity to detect disease characteristics of volatile organic compounds produced by biological materials. This study aims to utilize the metabolomic gas produced from the odor of the seminal fluid by using an electronic nose. The identification of the pattern of volatile organic compounds formed was labeled as unilateral varicocele, bilateral varicocele and clinical non varicocele as the basis for classification with supervised machine learning. In this study, the accuracy values were quite good for several algorithms, both in training accuracy and testing accuracy with an average accuracy value above 80%.
Predicting the value of sperm analysis using an electronic nose Raden Aa Koesoema Wijaya; Ahmad Kusumaatmaja; Dicky Moch Rizal
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp174-182

Abstract

Total motile sperm count and DNA fragmentation Index are two parameters in sperm analysis that have recently been used to determine the outcome of the management of cases of male infertility. Total Motile Sperm Count is one of the values considered better than the 2010 World Health Organization standard sperm analysis in terms of predictive value for the success of the spontaneous ongoing pregnancy rate. High DNA Fragmentation Index values were associated with lower pregnancy success and an increased risk of low fertilization rate or total fertilization failure. In this study, we developed a method to classify sperm analysis based on total motility sperm count and DNA Fragmentation Index values by using an electronic nose. In the total motility sperm count (TMSC) study, we use four algorithms with the result of accuracy values 95% and in the DNA fragmentation Index study, we get a fairly good accuracy value for two algorithms with the accuracy values 70%.
Co-Authors Dicky Moch Rizal Dicky Moch Rizal Raden Aa Koesoema Wijaya