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All Journal JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Innovative: Journal Of Social Science Research Indonesian Journal on Data Science Parameter: Jurnal Matematika, Statistika dan Terapannya
UPUY, DOMS
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Humanities Computer Science & IT Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Other

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Journal : Indonesian Journal on Data Science

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ANALLISIS PERBANDINGAN METODE FUZZY MAMDANI DAN FUZZY TSUKAMOTO DALAM MENGUKUR KEPUASAN PENDUDUK TERHADAP KINERJA PEGAWAI DI NEGERI ALLANG Upuy, Doms; Saidu , Rusnian Isfahami; Salamena , Gieska Nataly; Juma , Arman; Lopumeten, Jesica; Palembang, Citra Fathia
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 2 No. 2 (2024): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v2i2.1384

Abstract

The aim of this research is to evaluate the level of population satisfaction with employee performance in Allaug State. The Fuzzy Mamdani and Fuzzy Tsukamoto methods are used to process qualitative and quantitative data. This study involved a survey of 100 Allaug State residents, using a questionnaire covering various aspects of public service. The research results show that the Fuzzy Tsukamoto method produces a higher level of population satisfaction compared to the Fuzzy Mamdani method. Further analysis reveals that factors such as service speed, employee friendliness, and procedural efficiency have a significant influence on satisfaction levels. This research also identifies areas that need improvement in public services in Allaug State. The implications of these findings are discussed in the context of improving government service quality and community welfare.
PREDICTING STUDENT GRADUATION USING THE FUZZY TSUKAMOTO METHOD IN COMPUTER SCIENCE STUDY PROGRAM STUDENTS CLASS OF 2022 Upuy, Doms; Suhardin, Askin; Sapri, Ismu Iqbal
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 2 No. 2 (2024): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v2i2.1395

Abstract

This research aims to help optimize resources by designing a system that can be used to help predict student graduation at Pattimura University. The system method used is the Tsukamoto fuzzy method. Tsukamoto's method is an extension of monotonic reasoning. In the Tsukamoto method, each consequence of a rule in the form of IF-THEN must be represented by a fuzzy set with a monotonic membership function. As a result, the inference output from each rule is given firmly (crisp) based on the ?-predicate (fire strength). The final result is obtained using a weighted average. The result of this research is a student graduation prediction system to optimize good results and avoid errors that occur when predicting student graduation.
Co-Authors HIARIEY, ARLENE HENNY Juma , Arman Latupeirissa, Sanlly Joanne Lopumeten, Jesica Luhukay, Martje Palembang, Citra Fathia Papilaya, Netha Pattiradjawane, Victor Eric Radjabaycolle, Jefri Esna Thomas Saidu , Rusnian Isfahami Salamena , Gieska Nataly Sapri, Ismu Iqbal Suhardin, Askin SUHARDIN, ASKIN SYAFIYAH Waas, Devi Valentino Wattimena, Emanuella M C