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All Journal Teknosains: Media Informasi Sains dan Teknologi Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) EMPATI Al-Jabar : Jurnal Pendidikan Matematika Jurnal Belantara Indonesian Contemporary Nursing Journal (ICON Journal) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Kesehatan Holistic FIKROTUNA JurTI (JURNAL TEKNOLOGI INFORMASI) JUTIM (Jurnal Teknik Informatika Musirawas) International Journal of Nursing and Health Services (IJNHS) Jurnal Pendidikan Fisika dan Teknologi INTEK: Jurnal Penelitian Jurnal Keperawatan Respati Yogyakarta Technologia: Jurnal Ilmiah ULIN: Jurnal Hutan Tropis Jurnal Ilmiah Kesehatan Jurnal Energi dan Teknologi Manufaktur (JETM) Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Lisyabab : Jurnal Studi Islam dan Sosial Proceeding Biology Education Conference JURNAL PAI: Jurnal Kajian Pendidikan Agama Islam Jurnal Teknologi Pembelajaran Jurnal Citrakara Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Academic Physiotherapy Conference Proceeding DEARSIP: Journal of Architecture and Civil Jurnal Pengabdian Masyarakat: BAKTI KITA Al Muhafidz Borobudur Informatics Review Surakarta Civil Engineering Review Seminar Nasional Insinyur Profesional (SNIP) E-JRM Jurnal Ilmiah Mahasiswa Pertanian Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Kapuas Waspada : Jurnal Wawasan Pengembangan Pendidikan JOURNAL OF PEOPLE, FOREST AND ENVIRONMENT Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan AL GHAZALI: Jurnal Pendidikan dan Pemikiran Islam AL GHAZALI: Jurnal Pendidikan dan Pemikiran Islam
AGUS SETIAWAN
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Journal : Teknosains: Media Informasi Sains dan Teknologi

 1 
PENERAPAN DATA MINING UNTUK PREDIKSI AWAL KEMUNGKINAN TERINDIKASI DIABETES Erfan Karyadiputra; Agus Setiawan
Teknosains Vol 16 No 2 (2022): Mei-Agustus
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v16i2.28257

Abstract

Diabetes is one of the chronic diseases that have a characteristic in the form of high levels of blood sugar (glucose). Glucose is the main source of energy for the cells of the human body, but glucose accumulated in the blood can cause various disorders of the body's organs if not controlled and cause various complications of other diseases that can harm the sufferer. Early detection of diabetes is necessary because of the long asymptomatic phase, the asymptomatic phase is a condition of the disease that has been positively suffered but does not cause clinical symptoms in sufferers. The purpose of this study was to predict the initial likelihood of a person being indicated by diabetes based on the diabetes dataset using data mining techniques, namely the Decision Tree C4.5 algorithm method, Naive Bayes and K-Nearest Neighbors. Cross Validation test results from the three algortima were then compared with performance measurements using Confusion Matrix, Compare ROC and Paired T-Test so that the best algorithm method was obtained. The results of this study showed that the Decision Tree C4.5 algorithm became the best algorithm based on the results of predictive accuracy performance of 96.35% with an AUC value of 0.949 so that it belongs to the category of excellent classification and the results of different T-Test tests are dominant when compared to other algorithms. Therefore, the decision tree C4.5 algorithm is more accurate in predicting the beginning of the possibility of someone being indicated by diabetes.
Co-Authors A.Basyir Firdaus Abdan Rahim Ade Damaria Mukti Adi Dwi Hermansyah Afrian Andrianto AGUS Agus Alim Muin Agus Waluyo Ajeng Setianingsih Alex Purba Anas Nur Alfisahri Andi A. J. Siahaan Andi Suhandi Andi Widiyanto Andry Setyawan Aryanto Anggih Pararinarno Annis Rahmawati Arri Handayani Azizah Azizah Bainah Sari Dewi Bima Zepta Anggarda Rusady Birgita Diah Puspitrani Setiawan Bobby Affandy Budi Ramadhani Budi Santosa Bunga Choirunnisa Christine Wulandari Cindy Yoeland Violita Debi Usman Delima Nur Ramadhani Dely Maria Dian Iswandaru Dina Farida Utami Duryat , Eko Eko Elly L. Rustiati Elly Lestari Rustiati Erie Dwi Cahya Farid Mudlofar Firmando Huda Utama Gilang Mahardhika Gumono Gumono Gunardi Djoko Winarno H. Ahmad Nordian hafid nur muhammad Hari Kaskoyo Holyness Nurdin Singadimedja Hylda Khaiarah Putri I Gusti Wayan Murjana Yasa I Ketut Suada IBNU SANI Ida Kaniawati Idris Mandang Indra Gumay Febryano Indriyanto . Indu Indah Purnomo intan mayasari Iqbal Amiruddin Ihsanu Irawan Isti Khoiroh Iwan P Anwar jani master Joni Rokhmat Josua Situmorang Kevin Alrino Damara Kiki Dwi Anugrah Kris Witono Kurnia Julianti Lamona I. Bernawis Lindrianasari M. Idham Shilman M. Nizar Andriansyah Melati Fajarini Muchamad Alfi Robi’in Muh Sarkowi Muhammad Alfi Robi’in Muhammad Nasir Muhammad Riza Muhammad Rohiyan Munti Sarida Mutiara Rachmat Putri Nadiya Hijriana Nina Pebriana Niskan Walid Masruri Nugroho, Pipit Wahyu Nur Koidah Nursiyanto Nurul Hanifatul Alfiyah Poppy Fitriyani Purwono Hendradi Putri, Desy Hanisa Rahmat Safe’i Ridwan Salim Rizal Akbar Hutagalung Rizal Akbar Hutagalung Rizal Akbar Hutagalung Rohany Yanti Sihite Rois Arifin Rommy Qurniati rusita rusita Samsul Bakri Sari Utama Dewi Sarmila Sarwo Edy Saputra Selgi Mei Ariyani Siti Asiyah Slamet Budi Yuwono Slamet Mugiono Slamet Tarno Slamet Tarno Sri Rahayu Sri Waluyo Sri Warastuti Sri Warastuti Sriyanto Sriyanto Sugeng Hadi Susilo Sugeng P Harianto Sugeng p Harianto Sugeng P. Harianto Sukihananto Sukihananto Suparmin Suparmin Surahman Surahman Susilawati Susilawati Syamsul Hadi Utami, Ressa Andriyani Vivi Leona Amelia W Wijianto Wawan Wawan Widya Suryawiningrum Wilda Kurniati Willem M. Tatipatta Wiwin Wiarsih Yesi Asandi Salsabila Yulia Yulia Susanti zaenuddin zarenuddin Zamrizal Zamrizal Zetsaona Sihotang