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Afriany, Renny
Sekolah Tinggi Ilmu Kesehatan Garuda Putih
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : ARUMAS

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Perbandingan Sistem Informasi Edukasi dan Dukungan Pasien Yang Tepat Untuk Perawatan Pasien Home Care Renny Afriany; Samsinar Samsinar; Rudolf Sinaga
ARUMAS Vol 1 No 1 (2024): Jurnal Penelitian Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In home care patient care, patient education and support information systems play an important role in providing appropriate information and support to patients and their families. This information system can be accessed by patients and their families anytime and anywhere, thereby increasing the effectiveness of care. There are various patient education and support information systems available on the market. Each system has its own advantages and disadvantages. Therefore, it is important to compare these systems to determine the most appropriate system for treating home care patients. From these results and discussion, it can be concluded that each platform has its own advantages and disadvantages. The best choice depends on the Home Care patient's individual preferences and specific needs. The level of ease of access, service response, and availability of complete medical information are the main factors in choosing a suitable platform to be used as a home care referral platform.
Prediction of Hospital Administration Study Program Students' Graduation Using Decision Tree C4.5: Prediction of Hospital Administration Study Program Students' Graduation Using Decision Tree C4.5 Samsinar, Samsinar; Sinaga, Rudolf; Afriany, Renny
ARUMAS Vol 2 No 2 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i2.109

Abstract

The timely graduation success of students is a crucial indicator in evaluating the quality of higher education institutions. This study aims to predict the graduation rate of undergraduate students in the Hospital Administration Program at STIKES Garuda Putih Jambi using the Decision Tree C4.5 algorithm. The data utilized includes the Cumulative Grade Point Average (CGPA) of 35 students over the first four semesters. The dataset was processed using RapidMiner to generate a prediction model with CGPA as the main variable. The model evaluation indicated an accuracy level of 73.33%. This classification model successfully categorized student graduation outcomes into three groups: satisfactory, very satisfactory, and with distinction. The findings of this study are expected to provide insights for better academic decision-making, as well as enhance the quality of evaluation and learning processes in higher education institutions.
Co-Authors Frangky Frangky Hadi Achmad Purnama, Benni Rudolf Sinaga Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Yeyen Gustina Irawan