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All Journal BIMASAKTI
Edo Praviandika
Teknik Informatika
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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IMPLEMENTASI METODE FUZZY TSUKAMOTO PADA SISTEM PAKAR UNTUK ENGIDENTIFIKASI PENYAKIT KENCING MANIS Edo Praviandika; Alexius Endy Budianto; Moh Ahsan
Jurnal Fakultas Teknologi Informasi Vol 9 No 1 (2026): BIMASAKTI
Publisher : Prodi Teknik Informatika, Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/bimasakti.v9i1.13198

Abstract

Diabetes, or sugar disease, is a chronic or long-term disease. This disease is characterized by elevated blood sugar (glucose) levels above normal levels. Quoted from https://p2ptm.kemkes.go.id/ Currently, around 10 million people suffer from diabetes, the third most deadly disease in Indonesia after stroke and heart disease. Therefore, a product that can detect diabetes easily and quickly is needed. Where users simply input the criteria in a provided form, then the results of the input will be processed in the system to determine whether the user has diabetes or not.
Co-Authors Budianto, Alexius Endy Mohammad Ahsan