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All Journal Desimal: Jurnal Matematika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Saintek Lahan Kering Jurnal Varian JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Bakti Cendana: Jurnal Pengabdian Masyarakat Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Jurnal Diferensial Prosiding Konferensi Nasional PKM-CSR VARIANSI: Journal of Statistics and Its Application on Teaching and Research Journal of Mathematics Theory and Applications
Mada, Grandianus Seda
Program Studi Matematika, Fakultas Pertanian, Universitas Timor
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Jurnal Varian

 1 
The Defuzzification Methods Comparison of Mamdani Fuzzy Inference System in Predicting Tofu Production Grandianus Seda Mada; Nugraha Kristiano Floresda Dethan; Andika Ellena Saufika Hakim Maharani
Jurnal Varian Vol 5 No 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i2.1816

Abstract

One of the tofu-producing companies in Kupang City is Bintang Oesapa. With the Covid-19 pandemic,the factory needs to reconsider the amount of production by taking into account the unpredictability ofdemand and resources to minimize losses due to excessive accumulation or shortages of supplies. Indetermining the amount of production, Mamdani’s Fuzzy Inference System (FIS) can be used, whichis a method for the analysis of an uncertain system. This method has three stages in the process ofdecision making, namely fuzzification, inferencing and defuzzification. In the defuzzification stage,the FIS Mamdani has five methods, namely Centroid, Bisector, Mean of Maximum (MOM), Smallestof Maximum (SOM), and Largest of Maximum (LOM). This study discusses an application of FISMamdani with five defuzzification methods for determining daily tofu production. The purpose of thisstudy is to offer a solution by first comparing the five defuzzification methods in assessing the amount oftofu production at the Bintang Oesapa factory and then determining that which is most appropriate. Theinput variables used in this research are the amount of demand and the amount of available stock, whilethe amount of production is our variable of interest. The results showed that the best defuzzificationmethod was the MOM method with an accuracy level of 94.73% and a small error value, 5.27%. TheMOM defuzzification is expected to aid decision makers in determining the best amount of productionduring the pandemic.
Application of Mamdani’s Fuzzy Inference System in the Diagnosis of Pre-eclampsia Grandianus Seda Mada; Maria Julieta Esperanca Naibili; Siprianus Septian Manek; Estevania Daonce Mau; Wasim Raza
Jurnal Varian Vol 7 No 1 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i1.2764

Abstract

Pre-eclampsia is the second of the top three causes of death in pregnant women after bleeding and followed by infection. By knowing the risk factors, early detection of pre-eclampsia in pregnant women needs to be done so that later it can be treated more quickly to prevent further complications. This study aims to design a practical application of a decision-making system for the diagnosis of pre-eclampsia in pregnant women using the Fuzzy Inference System (FIS) method so it can be used efficiently and effectively for the early diagnosis of pre-eclampsia. The method used in data analysis is the FIS Mamdani method with defuzzification using the centroid method. The designed system considers blood pressure and proteinuria as input variables and pre-eclampsia status as output variables. The research results show that the system has 7.27% of Mean Absolute Percentage Error (MAPE) value and when comparing the final diagnosis of the system and expert diagnoses (doctors) from 20 patients at two hospitals, it was found that the system diagnosis was 100% in accordance with the expert diagnoses.
Co-Authors Alfonsus Liquria Loin Aloisius Loka Son Andika Ellena Saufika Hakim Maharani Arkianti, Maria Maxmilla Yoche Azor Yulianus Tefa Bano, Elinora Naikteas Benu, Didi Prasetyo Binsasi, Eva Dethan, Nugraha K. F. Dira Asri Pramita Ernestina Lalian Estevania Daonce Mau Eva Binsasi Faustianus Luan Fried Markus Allung Blegur Hanas, Dicky Frengky Hendrika Yeni Meti Humoen, Oktovianus Kristina Sri Ayu Bere Lidya, Christie Lukas Pardosi Maria Julieta Esperanca Naibili Matius Stefanus Batu Nabu, Andreas Giovani Nugraha K. F. Dethan Nugraha K. F. Dethan Obe, Leonardus Frengky Oktovianus R. Sikas Pramita, Dira Asri Pramusita, Santa Maya Sansela Neonbeni Santos, Adriano Dos Siahaan, Desta Gloria Sikas, Oktovianus R. Siprianus Septian Manek SITUMORANG, KOMILIE Tahulending, Peggy Tea, Marselina Theresia Djue Teti, Desriyani Yulianita Br. Kolo Wasim Raza Welsiliana Welsiliana Yakoba Yusina Muanley Yohana Noviayanti Da Silva Toti Yoseph Pius Kurniawan Kelen