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All Journal JKIE (Journal Knowledge Industrial Engineering) Aplikasia: Jurnal Aplikasi Ilmu-Ilmu Agama JTP - Jurnal Teknologi Pendidikan Paedagogia: Jurnal Pendidikan Jurnal Ilmiah Edunomika (JIE) Jurnal Manajemen Bisnis Eka Prasetya JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Management Science Research Journal Jurnal Ilmu dan Teknologi Peternakan Terpadu (JITPU) Outline Journal of Management and Accounting International Journal of Economics (IJEC) Journal of Applied Business and Technology Journal of Mechanical and Manufacture Agroista: Jurnal Agroteknologi Gudang Jurnal Multidisiplin Ilmu OKTAL : Jurnal Ilmu Komputer dan Sains Luxury: Landscape of Business Administration Nexus Synergy: A Business Perspective INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) PEDAMAS (Pengabdian Kepada Masyarakat) Journal of Humanities and Social Studies Accounting Studies and Tax Journal Marsialapari: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Smart Jurnal Pengabdian Masyarakat Rahmad Jurnal Studi Islam dan Ilmu Al-Quran Jurnal Pengabdian Cendekia Outline Journal of Economic Studies Outline Journal of Community Development
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Journal : Jurnal Ilmiah Smart

 1 
IMPLEMENTASI ALGORITMA DECISION TREE C4.5 DALAM PERANCANGAN SISTEM INFORMASI DATA REKAM MEDIS PENYAKIT JANTUNG Andi
Jurnal Manajemen Akuntansi Dan Administrasi Bisnis Vol 5 No 1 (2021): Special Issue
Publisher : Sekolah Tinggi Manajemen Bisnis (STMB) MultiSmart

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62262/jmab.v5i1.228

Abstract

The heart is a muscle that is divided into four chambers, namely the right and left atria (atria) at the top, while two more chambers are located at the bottom, namely the right and left ventricles. In practice, in the world of medical education, medical record data for heart disease is often stored for the purpose of learning or processing it into knowledge. On the website https://www.kaggle.com/, there are many datasets that are stored and processed for learning purposes, including disease datasets, population datasets or other types of datasets. However, in reality, processing medical record data into knowledge is not easy, because the large number of recorded medical record data makes it impossible for humans to process it. In addition, conventional medical record data management has a poor level of accuracy so that the conclusions drawn will certainly be different and not so accurate. Because of these problems, it is necessary to apply data mining techniques in the medical field, especially medical record data management. In this study, the data mining algorithm used is Decision Tree C4.5. This algorithm was chosen because it is quite accurate and complex in the process of managing medical record data. The results showed that the application of the Decision Tree C4.5 algorithm was quite accurate in predicting heart disease medical record data where the test results obtained an accuracy of 96%.
Co-Authors Ahmad Lamsari Ahmad Muchlis Amries Rusli Tanjung Ani Heryani Anton Bahiroh, Eloh Bambang Sutejo, Bambang Basri, Halima Cecilia Chandra, Randy Brilliant Christina, Cindy Clara Desvian Bandarsyah Dharma Putri, Asti Lintang Dian Andesta Bujuri Eddy, Pujiono Eko Hary Pudjiwati Eloh Bahiroh Estu, Ahmad Zulkarnain Eulis Yulianti Faridah Fahrizi, Haikal Al Fajar Pasaribu Fatika Andaristi Febri Pramudya Wardani Fernando, Edison Fitri Ginanjar, Seandy Grace Sriati Mengga HENDRA GUNAWAN B11211055 Henny Purnawa Dewi Hermansyah Hilda Nanda Priyatna Irma Herliza Rizki Isak Pasulu Ismail Izuddinsyah Siregar Jeferson, Boling Jufrianto JUMARDI JUNAID GAZALIN Kariyani, Rina Komardi, Dadi Kosasih, Denny Kudri, Wan Muhamad La ode Arwan La Ode Muhammad Arham Leo Kendrew Lian Ayu Kembarani Machfudoh Magfiratul Awalia Maulana Muhamad Sulaiman Maya Sidi Muammar Rinaldi Muh. Adiwena Muhammad Aldo Muhammad Fauzan Azhmy MUHAMMAD YUSUF Mukhtar Muliyati Mulyani, Ana Susi Murlita Muthmainnah Mursidin Nadlifah, Hindun Khairotun Najla Indira Faradiva Nakata, Eko Niasari, Elva Nicholas Renaldo Nidia Rismania Dewi Nur Indah Mansyur Nurjannah Nurul Chairiyah Ongsa Ong, Rezeki Paramawardhani, Herninanjati Purba, Jansaris Othniel Purnama, Intan Puteri, Cinderella Putri, Novita Yulia Rahmat Jaya Randeska Manullang Rodiatun Niswah Romaito Sasmita Siregar Roseline Rosita, Ita Sahlan Santosa, Aa Saragih, Lenti Susanna Sawaluddin Siregar Sitepu, Muhammad Rizal Siti Zahara Soerono, Ayu Noorida Sri Ndaru Arthawati SUSI RAHMAWATI SUYONO Syahputra, Hidayat Syamsir Syarifuddin Titik Ismandari Tri Nugraha Budi Santosa Wa Ode Suharni Wijaya, Evelyn Wilson, Vanness Yohana Theresia Maria Astuti Zahara Meutia Zalukhu, Febius Zeanette Tiarma Lisbet