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Menampilkan 1–4 dari 4 artikel
Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression
Kosasih, Eva
; Asmara Santhi, Ni Kadek Wulanda
; Febriyanti, Ni Wayan Atik
; Br Barus, Eka Valencia
; Susilawati, Made
International Journal of Applied Mathematics and Computing
Vol 2
, No 3
(2025)
Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level,...
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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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Pengembangan Strategi Bisnis Kreatif Trikarasu Design dengan Business Model Canvas di Era Digital
Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Vol 2
, No 6
(2024)
In the digital era, competition in the graphic design industry is increasingly competitive, requiring businesses to innovate and adapt with effective strategies. This study aims to develop business strategies using the Business Model Canvas (BMC) for Trikarasu Design, a start-up in the graphic design field. Employing a qualitative descriptive approach and literature study method, the research maps the nine BMC elements to analyze opportunities and challenges faced. The findings reveal that BMC a...
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Evaluasi Persepsi Pengguna terhadap Penggunaan Pengenalan Wajah dan GPS untuk Sistem Absensi
Sinaga, Jovanca Blesshery
; Valencia, Cindy
; Lubis, Muhammad Anggi
; Yuanda, Raihan
; Devyanti, Kharisma Nur
; Rudiansah, Cahya
; Purnama, Endang
; Indara, Gema Parasti
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 6
(2024)
One of the roles of current technology is online attendance recording (e-presence) based on facial recognition and GPS, which was previously dominantly done in the traditional way through paper recording. This manual attendance causes a lot of fraud, such as absentee deposits and forged signatures so that they are not effective in recording them. The purpose of this paper is to provide an analysis related to the exploration of user perception of facial recognition and GPS-based attendance. The m...
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