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All Journal BASIS (BAHASA DAN SASTRA INGGRIS) Ensiklopedia of Journal Berkala Penelitian Agronomi JURNAL MUTIARA NERS SIGn Jurnal Hukum Getsempena English Education Journal ESTIMASI: Journal of Statistics and Its Application Jurnal Ilmu Manajemen Universitas Tadulako (JIMUT) Jurnal Pengabdian kepada Masyarakat Nusantara Voice Of Midwifery Jurnal Promotif Preventif Al-Ulum: Jurnal Pendidikan Islam Jurnal Kesehatan Tambusai Lutjanus Jurnal Media Informatika Journal of English Teaching and Linguistics Al-Ulum: Jurnal Pendidikan Islam Journal Keperawatan International Journal of Economics (IJEC) Lex Stricta : Jurnal Ilmu Hukum Jurnal Teknologi Kimia Mineral INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Jurnal Ilmiah Mahasiswa Fakultas Keperawatan MCSIJ (Marine, Coastal and Small Islands Journal) : Jurnal Tugas Akhir Mahasiswa Ilmu Kelautan
Nirwan Nirwan
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Journal : ESTIMASI: Journal of Statistics and Its Application

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Penerapan Metode Exhaustive Chi-Square Automatic Interaction Detection pada Klasifikasi Penderita Diabetes dan Non Diabetes Nurhidayatullah, Nurhidayatullah; Sahriman, Sitti; Nirwan, Nirwan
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 1, Januari, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i1.33079

Abstract

Classification is a process of grouping an object into a certain category. One of classification method is the Exhaustive Chi-Square Automatic Interaction Detection (CHAID). The Exhaustive CHAID method is a classification method for categorical data by forming a classification tree. The classification tree interprets predictor variables that have a significant effect on the response variable based on the chi-square test. The purpose of this study was to obtain classification results for diabetics and non-diabetics using the Exhaustive CHAID method. The response variable used is the blood sugar level and the predictor variables consist of systolic blood pressure, diastolic blood pressure, length of sleep, working style, level of knowledge about diabetes, abdominal circumference, hereditary history of diabetes, age, exercise habits, and body mass index. The classification results show that the factors that have a significant influence at the 5% level are a hereditary history of diabetes, abdominal circumference, level of knowledge about diabetes, and diastolic blood pressure. Apart from that, the accuracy value of the Exhaustive CHAID classification tree is quite good, namely 86% based on the confusion matrix.
Co-Authors Adriana, Mustika Aisyah Warsid Akrom, Choirul Nur Alansar, Toufik Almanda, Almanda Aminudin Mane Kandari Andi Arninda Anggi Vahlevi Silaen, Irgi Anugrah Umar Arista, Windi Burhanuddin AG CHALIL, CHALIL Dafiuddin Salim, Dafiuddin Elvin, Said Devi Fahmal, A. Muin Faisal, Imam Agus Faudi, Faudi Fithria, Fithria Halimatussakdiah Halimatussakdiah Hartaty, Neti Helmanda, Cut Mawar Hermansyah Hermansyah Irfansyah Irfansyah Irgi Anggi Vahlevi Silaen Isneini Isneini, Isneini Isra, Rahmi Jubaeda Jubaeda Latifah Hanum Lestari, Noviana Maulida, Sri Dewi Zahra Atira Megawanto, Rony Mohammad Arif Mohammad Ega Nugraha Mohammad Zeylo Auriza Muhammad Syahdan Munazar Munazar Mustika Adriana Nabila Zulchairini Nasdwiana, Nasdwiana Nur, Anugrah Moh Nurhidayatullah Nurhidayatullah, Nurhidayatullah Nuryamin Nuryamin, Nuryamin Octavianus, R. Oetama, Saiful Putra, Muhammad Arif Syah Rachmawati Hasid Rafika Sari Rafika Sari Rafina Rafina Rahmatun Nisa, Rahmatun Ramadhanty, Faiza Novia Rimadeni, Yeni Sahriman, Sitti Salahuddin Salahuddin Semmagga, Nuraeni Setiawan Mandala Putra Silfiana, Andi Sitio, Roma Sri Diana SRI RAHAYU suardi suardi Subhan, Andi Muhammad Suwardi Suwardi Suyati - Syamsul Bahri Taufik Taufik Wirdayanti Yuswardi yuswardi, Yuswardi