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All Journal Abdimas Journal Of Nursing Practice Jurnal Ilmu Kesehatan Acta Biochimica Indonesiana Jurnal Kesehatan Islam : Islamic Health Journal INDONESIAN JOURNAL OF MEDICAL LABORATORY SCIENCE AND TECHNOLOGY Jurnal Peduli Masyarakat Jurnal Ilmiah Pamenang (JIP) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Indonesian Journal of Community Dedication in Health (IJCDH) Jurnal Kesehatan Jurnal Pengabdian Masyarakat Putri Hijau Jurnal Pengabdian Masyarakat Tjut Nyak Dhien ABDINE Jurnal Pengabdian Masyarakat Moneter : Jurnal Keuangan dan Perbankan Jurnal Keperawatan Jurnal Pengabdian Kepada Masyarakat: Kesehatan (JPKMK) Jurnal Abdimas Pamenang
Krisnawati, Dyah Ika
Fakultas Keperawatan Dan Kebidanan, Universitas Nahdlatul Ulama Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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ANALYSIS OF PATIENT ATTENDANCE RATES USING RUSBOOST Widodo; Dyah Ika Krisnawati; Saifullah Azhar; Fatika La Viola Ifanka; Muhammad Ilham Aziz; Satria Pradana Rizky Yulianto; Devi Ratnasari; Muhammad Oktoda Noorrohman
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 11 (2025): OCTOBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i11.1110

Abstract

Patients have the option of undergoing examinations and treatment without having to stay in the hospital. The number of clinics serving patients continues to grow due to the high demand and busy schedules faced by patients. However, hospitals and clinics are still operating well because there are patients who need services, both outpatient and inpatient. In many countries, numerous clinics and hospitals have not implemented an effective data management system for outpatient queues. This results in a number of registered patients not showing up for their appointments, which is certainly detrimental to the nurses and doctors on duty that day. This situation is a loss for clinics and hospitals because manual data management prevents them from predicting the number of patients who will visit. One way to organize patient visit data, both for outpatient and inpatient care, is to utilize big data. The method used in processing this data is Decision Tree classification with Rusboost. By applying Decision Tree classification and Rusboost, we can obtain more accurate predictions, thereby assisting in decision-making.
Co-Authors Ahmad Taufiq Alimansur, Moh Alzami, Farrikh Andikawati Fitriasari Aulanni’am, Aulanni’am betris tasia Betristasia Puspitasari Betristasia Puspitasari Betristasia Puspitasari Darmayanti, Rofik Devi Ratnasari Didik Susetiyanto Atmojo Dwi Rahayu Dwi Rahayu Elfi Quyumi Elfi Quyumi Rahmawati Erna Susilowati Erni Rahmawati Ervi Suminar Fajar Rinawati Fatika La Viola Ifanka Firdaus Hendra Susanto Hengky Irawan Heny Kristanto Izma Fatiqul Qasanah Jui-Chi Kuo Khafid, Muhamad Lilik Faizzatullailiyah Mawarda Hatmanti, Nety Muhamad Khafid Muhammad Agus Muljanto Muhammad Ilham Aziz Muhammad Oktoda Noorrohman Muslich Muslich, Muslich Nita Yunianti Ratnasari Novita Setyowati Pardjono Pardjono Priyo Mukti Pribadi Winoto Puguh Santoso Puguh Santoso Puguh Santoso Puguh Santoso puguh santoso, puguh Puspitasari, Betristasia Ragil Putri Fitriyanti Riska Rohmawati Rofik Darmayanti Rofik Darmayanti Rofik Darmayanti Saifullah Azhar Satria Pradana Rizky Yulianto sholeh, moch Soeleman, Arief Sucipto Sucipto Sunaryono Sunaryono, Sunaryono Suryono Trijoyo Purnomo, Jerry Dwi Tsung-Rong Kuo Widodo Widodo Widodo Wiwik Widiyawati Wuragil, Dyah Kinasih Yunarsih Zahroh, Chilyatiz