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Sistem Pendukung Keputusan untuk Rekomendasi Obat Luar dengan Menggunakan Metode Simple Additive Weighting (SAW)
Rudi Hermawan
; Rahman Abdillah
; Wawan Hermawansyah
; Nur Alam
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 2
(2025)
Quality health services are an important factor in increasing patient trust in medical facilities and health workers. One of the crucial aspects is accuracy in providing drug recommendations that suit the patient's needs. Drug recommendations are influenced by various criteria, including effectiveness, safety, price, availability, and potential side effects. However, in practice, there is often a gap between the patient's expectations and the reality of the treatment received. This can affect pa...
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Optimizing IT Remote Workers Mental Health Prediction using Feature Engineering
International Journal of Science and Mathematics Education
Vol 2
, No 2
(2025)
Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. Th...
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Enhancing Data Management Efficiency in Higher Education: A Case Study on the Development of P2M Applications
International Journal of Computer Technology and Science
Vol 2
, No 1
(2025)
Developing research and community service (P2M) applications is crucial in enhancing efficiency and accuracy in managing related data at higher education institutions. This research aims to design a web-based application that simplifies the data management process for research, community service, and associated activities at Universitas Informatika dan Bisnis Indonesia (UNIBI). The research engaged the Rapid Application Development (RAD) methodology to actively incorporate stakeholders throughou...
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Sosialisasi Penerapan Algoritma Media Sosial Youtube untuk Menaikkan Jumlah Pengunjung
Rahman Abdillah
; Ibnu Adkha
; Dwi Puspita Agustin
; Nur Alam
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 4
, No 1
(2025)
YouTube is one of the leading video-based social media platforms with a complex algorithm for recommending content to users. Understanding this algorithm is crucial for content creators to increase visitor numbers and audience engagement. This socialization activity aims to educate beginner content creators on video optimization strategies to enhance discoverability and recommendation by YouTube’s system. The socialization was conducted online via Zoom, utilizing presentations, interactive discu...
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Optimizing Heart Disease Prediction : A Comparative Study of Machine Learning Models Using Clinical Data
Budiman Budiman
; Nur Alamsyah
; Elia Setiana
; Valencia Claudia Jennifer Kaunang
; Syahira Putri Himmaniah
International Journal of Science and Mathematics Education
Vol 1
, No 4
(2024)
Cardiovascular disease is a leading cause of death globally, necessitating effective predictive systems. This research aims to analyze the effectiveness of various machine learning (ML) models—Logistic Regression (LR), Random Forest (RF), Naive Bayes (NB), Support Vector Classifier (SVC), and K-Nearest Neighbors (KNN)—in predicting heart disease using publicly available health data. The study involved pre-processing data, training models, and evaluating them using accuracy, precision, recall, F1...
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