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All Journal Jurnal Kesehatan Masyarakat Indonesia JIKI CHEMICA Jurnal Teknik Kimia Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Administrasi Bisnis Jurnal Pembelajaran Fisika JURNAL PENGABDIAN KEPADA MASYARAKAT JPKMI (Jurnal Publikasi Kesehatan Masyarakat Indonesia) ICETIA JPBIO (Jurnal Pendidikan Biologi) Jurnal Pengabdian kepada Masyarakat Nusantara Dynamic Management Journal Indo-MathEdu Intellectuals Journal Jurnal Penelitian dan Pengembangan Kesehatan Masyarakat Indonesia (JPPKMI) Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) PSEJ (Pancasakti Science Education Journal) Journal of Health and Nutrition Research Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia Journal of Maternal and Child Health Science Jurnal Abdimas Kesehatan
Lia Anggraini
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Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Journal : ICETIA

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Implementation of Modified K-Nearest Neighbor for Diagnosis of Liver Patients Alwiz Nazir; Lia Anggraini; Suwanto Sanjaya; Fadhilla Syafria
ICETIA Vol 1, No 1 (2016)
Publisher : ICETIA

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Abstract

Number of patients with liver disease in the worldis very high. In the early stages, liver disease is difficult todetect. Early diagnosis of the liver disease may help inpreventing and treating sufferers. To diagnose liver diseasecan be done with a blood test. Based on data from thisanalysis, the results can assist in determining patients withliver disease. This study uses data Indian Liver Patient Dataset(ILPD) taken from the UCI Machine Learning Repository. Weused Modified k-Nearest Neighbor to classify into two classes,namely sufferers and non-sufferers. The amounts of data usedin this study were 583 records. Tests performed by dividingthe training data and test data to 50:50, 60:40, 70:30 and80:20. Results of tests performed can classify with a gooddegree of accuracy reached 85.14% with a ratio of 70:30 and k= 3.
Co-Authors Abbas, Dirvi Surya ACENG RUYANI Adila, Nor Azizah Agus Muhammad Ridwan Agusetiawan, Muhammad Andrian Ali Faisal, Muhammad Alkamaliah, Fitrya Hayati  Alwiz Nazir Andini Octaviana Putri, Andini Octaviana Anggraini, Irika Devi Anggun Wulandari Anggun Wulandari Anik Suwarni Arik Prasetya Atikah Rahayu Ayu Riana Sari Azmiyannoor, Muhamad Azmiyannoor, Muhammad Billa, Lisa Salsa Cahyani, Sulis Enda Kartika Sari, Enda Kartika Endang Siti Astuti Fadhilla Syafria Farid Ilham Muddin Fauzie Rahman Filsahani, Nuraida Keisya Firani, Dewi Fradana, Farrel Hansa Gusti, Widia Hadiannor, Hadiannor Henny Johan Hutari, Andri Idris Yani Pamungkas Islah, Anida Jannah, Alya Miftahul Jannah, Nidaul Jasmi Jasmi Johan , Henny M Anshori Rahman Marno, Septhian Mayub, Afrizal Meilani, Elma Minasari, Minasari Moh Khoirul Anam Mohammad Bakhriansyah Muddin, Farid Ilham Muhammad Arifin Muhammad Azmiyannoor Navijay, Ahmad Neka Erlyani Nita Pujianti Noni Noviana Novita, Nesi Nur Laily Nur Laily Nuralpisah, Nuralpisah Nuryasari, Fazhar Octaviana Putri, Andini Paramitha N, Destin Ayu Parida Rahmi Pazli, Pazli Podojoyo, Podojoyo Pradipta , Andika Prasetio, Diki Bima Putrawansyah, M. Putri, Aura Salsabila Yunizar Rahma, Amelia Rahman, M. Anshori Rahmi, Parida Raisya, Raisya Riana Sari, Ayu Ridhani, Gusti Al Azmi Akhmad Ridwan, Agus Muhammad Rifani, Rizqi RR. Ella Evrita Hestiandari Saatirah, Farras Sari A, Ayu Riana Sari, Ayu Riana Sartika, Rita Seambaga, Alvian Aditya Shafarina, Helmaria Siti Maimunah Sri Wulandari Suhendra Suhendra Suwanto Sanjaya Syamsul Arifin Undang Rosidin Vina Yulia Anhar Viyanti - Wardana, Rendy Wikrama Wibowo, Yoga Putra Yustikasari, Intan Zainal Khadafi, Muhammad Zwagery, Rika Vira