Browse Items (33 total)
- Collection: Vol 9 No 5 (2025)
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Comparing Data Preprocessing Strategy on T5 Architecture to Classify ICD-10 Diagnosis
Manual ICD-10 coding in healthcare systems remains time-consuming, error-prone, and inefficient, particularly in resource-constrained settings. This study investigates the effect of various preprocessing strategies on the performance of the…
Eye Disease Detection and Classification Optimization Using EfficientNet-B5 with Emphasis on Data Augmentation and Fine-Tuning
ye diseases significant global health challenges, underscoring the need for efficient and accurate diagnostic. This study employed the EfficientNet-B5 model to enhance the detection and classification of eye diseases by …
Application of YOLOv8 Algorithm for Coral Reef Disease Detection as an Effort to Prevent Marine Habitat Damage in Batam
Research in 2019 in Batam City showed that out of 19 coral reef fisheries support facilities, 16 were declared not good. Coral reef damage increased from 36.28% to 39.44%. This is due to the threat of coral reef damage due to international shipping…
Image Classification of Rice Leaf Diseases with KNN Based Model using Stratified-KCV
Rice is a staple food for people in the world, especially Indonesia. The rice harvest decreased in 2023, reducing harvest productivity and causing losses for farmers. Rice cultivation is often affected by diseases that hinder rice…
Spatial-Temporal Analysis of Earthquakes in Indonesia with Deep Learning Models: Performance Evaluation of CNN, LSTM, and Hybrid CNN-GRU
Indonesia, located along the Pacific Ring of Fire, experiences high seismic activity with over 6,000 earthquakes annually. Accurate earthquake prediction remains a major challenge because of the complexity of geological dynamics and…
Application of Reinforcement Learning to Solve Rubrik’s Cube with Markov Decision Process
The Rubik's Cube is a tricky puzzle that can be arranged in countless ways, making it hard for both people and computers to figure out. While standard solving methods use fixed strategies, this research looks into using reinforcement learning (RL) to…
Software Product Line Engineering in Supply Chain Management Systems for Manufacturing Sector
Manufacturing companies are industrial enterprises that process raw materials and implement Supply Chain Management (SCM). SCM encompasses three stages: material management, planning and control, and production. While these stages are…
Enhancing Recruitment Efficiency in the Indonesian Pharmaceutical Industry Using Backpropagation Neural Networ
PT K-24 Indonesia is one of the foremost companies in Indonesia, with a primary focus on distributing pharmaceutical products and healthcare services. Over the last two years, PT K-24 has received more than 110,000 job applicants, offering various…
Explainable Ensemble Learning Framework with SMOTE, SHAP and LIME for Predicting 30-Day Readmission in Diabetic Patients
Hospital readmission among diabetic patients poses a significant burden on healthcare systems due to its frequency and associated costs. This study presents a machine learning framework for predicting 30-day readmission …
HUBUNGAN PERSEPSI BEBAN KERJA PERAWAT DENGAN KUALITAS
PENDOKUMENTASIAN ELECTRONIC RECORD MEDICAL ASUHAN
KEPERAWATAN DI RUANG RAWAT INAP DAN IGD
RUMAH SAKIT ISLAM KARAWANG TAHUN 2025
beban kerja perawat merupakan salah satu faktor yang berpotensi memengaruhi kualitas
pendokumentasian asuhan keperawatan. pendokumentasian yang tidak lengkap dan tidak tepat waktu
dapat berdampak pada mutu pelayanan serta keselamatan pasien.…
pendokumentasian asuhan keperawatan. pendokumentasian yang tidak lengkap dan tidak tepat waktu
dapat berdampak pada mutu pelayanan serta keselamatan pasien.…