IMPLEMENTASI METODE FUZZY TSUKAMOTO PADA SISTEM PAKAR UNTUK ENGIDENTIFIKASI PENYAKIT KENCING MANIS

Authors

  • Edo Praviandika Teknik Informatika
  • Alexius Endy Budianto Universitas PGRI Kanjuruhan Malang
  • Moh Ahsan Universitas PGRI Kanjuruhan Malang

DOI:

https://doi.org/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.

BIMASAKTI

Published

2026-10-22

How to Cite

Praviandika, E., Budianto, A. E., & Ahsan, M. (2026). IMPLEMENTASI METODE FUZZY TSUKAMOTO PADA SISTEM PAKAR UNTUK ENGIDENTIFIKASI PENYAKIT KENCING MANIS. BIMASAKTI : Jurnal Riset Mahasiswa Bidang Teknologi Informasi, 9(1). https://doi.org/10.21067/bimasakti.v9i1.13198

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Articles