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All Journal Jurnal Sosial dan Teknologi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rupilu, Glory Emilisa
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Environmental Science Law, Crime, Criminology & Criminal Justice

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Desain Ontologi Sederhana Perpustakaan Online Rupilu, Glory Emilisa
Jurnal Sosial Teknologi Vol. 4 No. 2 (2024): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v4i2.1151

Abstract

Perpustakaan online adalah aspek penting dalam dunia informasi modern yang membutuhkan representasi yang lebih terstruktur dan semantik. Penelitian ini bertujuan untuk melihat desain ontologi perpustakaan online secara kualitatif dengan menggunakan metode deskriptif dan melakukan pengamatan langsung. Desain ontology ini diharapkan dapat menjelaskan hubungan antara buku, penulis dan penerbit pada perpustakaan online. Protege digunakan sebagai perangkat untuk mengimplementasikan ontologi dan memfasilitasi proses pengamatan langsung. Hasil penelitian menunjukkan bahwa pendekatan kualitatif dengan metode deskriptif dan pengamatan langsung dapat memberikan pemahaman mendalam tentang ontologi perpustakaan online yang berbasis Web Semantik
Analisis Prediksi Length of Stay Pasien Infeksi Paru Menggunakan Algoritma Klasifikasi Rupilu, Glory Emilisa; Liliawati, Swat Lie; Ayub, Mewati
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.11464

Abstract

This study investigates the relationship between age, gender, and other factors in attributes with Length of Stay (LOS) in patients with pulmonary disease. The main objective of the study was to help predict the LOS of new patients presenting with the same diagnosis and to help reduce the cost of care related to the duration of hospital stay. The theory used in this study is that the factors of age, gender, diagnosis, leukocyte values and chest X-ray results can affect the duration of their stay in the hospital. Data for this study was obtained from the medical records of one of the hospitals in West Java during the study period for approximately 3 months. The methods and techniques used are Artificial Neural Network-MLP (ANN), naïve bayes, J48 and Random Tree to analyze and model the relationship between input variables (age, gender, secondary diagnoses and others) and output variables (LOS). The results of this study are expected to provide a better understanding of the factors that influence LOS in patients with pulmonary diseases, as well as contribute to the development of prediction methods that can help better patient management and clinical decision-making in hospitals.
Co-Authors Liliawati, Swat Lie Mewati Ayub