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All Journal Jurnal Informatika Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Buana Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Among Makarti Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) POSITIF JURNAL SPASIAL JURNAL PENELITIAN Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Creative Information Technology Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Komtika (Komputasi dan Informatika) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Informasi Interaktif Respati Jurnal Abdi: Media Pengabdian Kepada Masyarakat Jurnal Penelitian
Kusrini Kusrini
STMIK AMIKOM Yogyakarta
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Journal : Jurnal Komtika (Komputasi dan Informatika)

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Komparasi Algoritma Naive Bayes dan K-Nearest Neighbor untuk Membangun Pengetahuan Diagnosa Penyakit Diabetes Nurmalasari, Maulidya Dwi; Kusrini, Kusrini; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5140

Abstract

Diabetes is caused by a deficiency of the hormone insulin, which is secreted by the pancreas to lower blood sugar levels. The factors that trigger the occurrence of diabetes are derived from various factors such as a combination of genetic and environmental factors. The phenomenon of the emergence of various beverage brand outlets can be one of the triggers for blood sugar levels in humans. Normal blood sugar levels in the body range from 70-130 mg/dL before eating, less than 180 mg/dL two hours after eating, less than 100 mg/dL after not eating or surviving for eight hours, and 100-140 mg/dL at bedtime. This research aims to determine which algorithm is suitable for building knowledge about diabetes using the Naïve Bayes and K-Nearest Neighbor (KNN) algorithm. The accuracy results from Naïve Bayes are 85.60% and K- Nearest Neighbor of 91.61%. The results showed that K-Nearest Neighbor proved to have the best accuracy.
Co-Authors A.A. Ketut Agung Cahyawan W ABADI Abdullah, Robi Wariyanto Afryansih, Nila Agus Harjoko Ahmad Yusuf Ahmad Zarkasih Aidina Ristyawan, Aidina Alva Hendi Muhammad Amborowati, Armadyahah Amir Fatah Andi Sunyoto Aninda Astuti Apriliyani, Aflahah Arief, M Rudyanto Arik Sofan Tohir Sofan Tohir, Arik Sofan Tohir Armadyah Amborowati B. R., Endah Christian Budi Andrianto, Christian Budi Dengen, Christin Nandari Destyanto, Febrian Dion Romodon Dwi Yuli Prasetyo Eldas Puspitarini, Eldas Elok Noor Farida, Elok Noor Emha Taufiq Lutfi, Emha Taufiq Emha Taufiq Luthfi EmhaTaufiq Lutfi, EmhaTaufiq Eri Sasmita Susanto Fatkhurohman, Ari Fauji Maulana Ramlan, Fauji Maulana Ferry Wahyu Wibowo Hanif Al Fatta Hasan, Nur Fitrianingsih Henderi . Ilkham, Sundari Jazi Eko Istiyanto JOKO PRAYITNO Kurniawan, Mei P Kusrini, Mashudi Laka, Beatus Mendelson Lasimin, Lasimin Luthfii, Emha Taufiq M. RUDYANTO ARIEF M. Suyanto, M. marhalim, marhalim MASRIYAH Muqorobin, Muqorobin Musthofa Galih Pradana NINIK TRI HARTANTI Nulngafan, Nulngafan Nurcahyo, Azriel Christian Nurmalasari, Maulidya Dwi Prastowo, Wahit Desta Profesi, Dwinda Etika Retantyo Wardoyo Rizqi Sukma Kharisma Safagi, Ardian Yuligar Samponu, Yohakim Benedictus Sarji, Sarji Setianto, Yuni Ambar Siti Rihastuti Sri Hartati Sudarmawan, Sudarmawan Sugihandono, Agus Suhardi Marli Sukasna, Sukasna Swardiana, I Wayan Pandu Veny Cahya Hardita wati, Vera Wauran, Alfrets Septy Wauran, Alfrets Septy Wicaksono, Kurniawan Winarto, Hendri Wira Dimuksa Yohanes Setyo Prabowo, Yohanes Setyo Yuli Astuti