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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal of Educational Research Excellence (IJERE)
Latumeten, Victoria D. V.
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Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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DIAGNOSA STATUS RESIKO JANTUNG KORONER MENGGUNAKAN METODE FUZZY NON STATIONARY Latumeten, Victoria D. V.
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 11 No 1 (2017): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.262 KB) | DOI: 10.30598/barekengvol11iss1pp27-38

Abstract

Penyakit jantung koroner (PJK) merupakan penyakit yang apabila sudah terdiagnosa perlu sekali diawasi karena beresiko tinggi terhadap kematian. Resiko kematian tersebut perlu diminimalisasi dengan membuat sebuah media konsultasi dan monitoring terhadap penderita sesuai gejala yang dialami. Dokter dan paramedis adalah pakar yang berkompeten untuk mediagnosa tingkat resiko penyakit jantung koroner, namun dalam pengambilan keputusan yang sulit terdapat keragaman opini pakar (inter-expert) dan seiring waktu opini pakar pun berubah (intra-expert) karena pengetahuannya terus bertambah berdasarkan adanya gejala baru dari penelitian yang dilakukan, kebiasaan baru, atau dipengaruhi keadaanemosi.Model fuzzy mengatasi permasalahan ketidakpastian. Model fuzzy yang menggunakan himpunan fuzzy non-stationary (FNIS) mereplikasi keragaman pada manusia sehingga mampu mengatasi permasalahan kegaraman opini pada pakar baik inter-expert maupun intra-expert. Sistem yang dibangun menggunakan model fuzzy non-stationary untuk mendiagnosa tingkat resiko jantung koroner berdasarkan 5 input yakni umur, tekanan darah, gula darah, status BMI, dan kolesterol. Fuzzy sistem pada penelitian ini menggunakan mamdani inferensi. Dua fungsi perturbation function yang digunakan sistem adalah fungsi distribusi acak normal pada variabel input dan fungsi sinusoidal pada variabel output untukmeng-generate membership function untuk 5 kali perulangan. Hasil perbandingan diagnosa antara pakar, FIS, dan FNIS didapati bahwa FNIS lebih tepat dibandingkan FIS sesuai diagnosa pakar secara manual.
The Effect of Using Technology in Learning on Student Learning Motivation: Analysis of the Effectiveness of Inclusive Education Programs Latumeten, Victoria D. V.; A. Fitriani; Permatasari, Armita; Juniati, Sri Rahayu; Wahyuniar
International Journal of Educational Research Excellence (IJERE) Vol. 3 No. 1 (2024): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijere.v3i1.878

Abstract

The objective of this study is to assess the efficacy of technology in inclusive education on enhancing student learning outcomes. The research methodology employed is a comprehensive literature review, encompassing data from various sources pertaining to the integration of technology in educational settings. The findings indicate that the incorporation of technology in inclusive classrooms can markedly enhance student learning outcomes, particularly in developing cognitive and critical thinking abilities. Additionally, technology can facilitate the optimization of the learning process in terms of efficiency and effectiveness. It is also important to note that the use of technology in education presents certain challenges and risks that must be managed effectively in order to achieve optimal outcomes. Therefore, when considering the use of technology in education, it is essential to carefully select and integrate technology in a manner that is conducive to achieving desired results.
Co-Authors A. Fitriani Juniati, Sri Rahayu Permatasari, Armita Wahyuniar