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Enhancing Medical Education with Machine Learning: A Case Study on CKD Detection Using AdaBoost-SVM Erizal, Erizal; Suwarto, Suwarto; Basuki, Umar; Hiswati, Marselina Endah; Diqi, Mohammad; Kristian, Tadem Vergi
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p56-62

Abstract

This study explores the application of the AdaBoost-SVM model for the classification of chronic kidney disease (CKD), addressing the critical need for accurate and early diagnosis in clinical settings. Using a dataset of 400 instances with 25 clinical features, we implemented rigorous data cleaning to remove rows with missing values, ensuring high-quality input data. The AdaBoost-SVM model achieved remarkable performance, with an overall accuracy of 96%. Precision and recall were notably high for both 'ckd' and 'notckd' classes, reflecting the model’s robustness and reliability. These results underscore the potential of hybrid machine learning approaches in medical diagnostics, providing valuable insights into improving CKD detection. Although the study has several limitations, such as a limited dataset and the exclusion of incomplete data, its findings clearly show the model's usefulness and provide a foundation for future research. Future work should focus on larger, more diverse datasets and alternative data handling techniques to enhance the model's applicability and performance. This research highlights the promise of integrating advanced algorithms into clinical decision-making processes, ultimately aiming to improve patient outcomes through early and accurate disease detection.
KETIDAKADILAN GENDER TERHADAP PEREMPUAN DALAM RUMAH TANGGA PADA FILM “SELESAI” Avidaninta, Chairunisa; Basuki, Umar; Srigati, Bambang; Rambe, Warhi Pandapotan
MASSIVE: Jurnal Ilmu Komunikasi Vol. 4 No. 1 (2024)
Publisher : Fakultas Ilmu Sosial dan Ekonomi, Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/massive.v4i1.141

Abstract

Penelitian ini berfokus pada representasi ketidakadilan gender terhadap perempuan rumah tangga dalam film “Selesai”. Penelitian ini bertujuan untuk mengetahui bagaimana representasi ketidakadilan terhadap perempuan rumah tangga dalam film drama “Selesai” yang ditinjau dari denotasi, konotasi dan dikaitkan dengan mitos berdasarkan analisis semiotika Roland Barthes. Jenis penelitian ini adalah deskriptif kualitatif dengan teknik pengumpulan data yakni observasi, dokumentasi, dan studi literatur. Hasil penelitian ini menunjukkan bahwa ketidakadilan gender berupa marginalisasi, subordinasi, stereotip, kekerasan dan beban kerja dialami oleh tokoh utama perempuan yaitu Ayu serta pemeran pendukung perempuan, Yani. Terdapat pula pelestarian ideologi budaya patriarki dalam masyarakat, di mana kaum patriarki menganggap laki-laki memiliki kekuasaan serta memegang kendali penuh atas diri perempuan. Melalui penelitian ini dapat dilihat bahwa film dapat menggambarkan realitas perempuan yang masih sangat rawan menjadi korban ketidakadilan gender.