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All Journal Jurnal Diferensial Journal of Mathematics Theory and Applications
Dethan, Nugraha K. F.
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Immunology & microbiology Mathematics Public Health

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PENENTUAN METODE DEFUZZIFIKASI TERBAIK FUZZY INFERENCE SYSTEM MAMDANI DALAM DIAGNOSA PRE-EKLAMPSIA PADA IBU HAMIL Teti, Desriyani Yulianita Br. Kolo; Mada, Grandianus Seda; Dethan, Nugraha K. F.; Obe, Leonardus Frengky
JURNAL DIFERENSIAL Vol 6 No 1 (2024): April 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i1.12680

Abstract

Pre-eclampsia is the second of the three major causes of death in pregnant women after bleeding followed by infection. Pre-eclampsia is a disorder of unknown etiology specifically in pregnant women. To prevent pre-eclampsia from becoming increasingly severely diagnosed systems that can be used for pre-eclampsia premises syconome. One method that can be used to determine the pre-eclampsia diagnosis is the Fuzzy Inference System (FIS) Mamdani this method is based on the concept of fuzzy logic. The process of determining the final decision by this method has several stages, the application of implications, rules, and defuzzification composition. For defuzzification stages, there are four methods that can be used the method Centroid, Bisector, Mean of Maximum (MOM), Smallest of Maximum (SOM), and Largest of Maximum (LOM). This study aims to determine the diagnosis of pre-eclampsia (pregnancy poisoning) in pregnant women based on FIS Mamdani by previously determining the best FIS Mamdani defuzzification method. In determining the best defuzzification method, the measures Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Square Error (MSE), and Sum Square Error (SSE) are used. Based on the results of the prediction error comparison, the best defuzzification method to diagnose the pre-eclampsia status in Atambua Hospital is a bisector method with an accuracy of 95,48%.
IDENTIFIKASI PELAKU KECURANGAN DENGAN MENGGUNAKAN POLINOMIAL BIVARIAT SIMETRIS: Universitas Timor Lopo, Aprilia; Ahzan, Zulkaidah Nur; Fitriani, Fitriani; Dethan, Nugraha K. F.
Journal of Mathematics Theory and Applications Vol. 4 No. 1 (2025): Edisi Oktober 2025
Publisher : Program Studi Matematika, Universitas Timor

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Abstract

The purpose of this study is to identify fraudsters using Symmetric Bivariate Polynomials with one share detecion. This type of research is quantitative using the method Secret Sharing Scheme (SPR). Where in this study combines several schemes, one of which is Scheme Liu et al. (2018). The scheme Liu et al. (2018) is a Symmetric Bivariate Polynomial scheme, in the writing of the Liu et al. (2018) scheme they identy fraudsters using two share detections. In the study, researchers also use Symmetric Bivariate Polynomials to identify fraudsters, so that the results are obtained, namely at the secret shering stage using Symmetric Bivariate Polynomials, at the reconstruction stage using Lagrange interpolation and using Symmetric Bivariate Polynimials with one share detection where is a random integer. Thus it can be concluded that the identification of fraudsters using Symmetric Bivariate Polynimoials is able to identify fraudsters and by using one share detection is faster in the computation process.
Co-Authors Ahzan, Zulkaidah Nur Fitriani Fitriani Lopo, Aprilia Mada, Grandianus Seda Obe, Leonardus Frengky Teti, Desriyani Yulianita Br. Kolo