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All Journal Journal of Algorithmic Digital Engineering and Networks Jurnal Sinergi Digital dan Pemberdayaan Masyarakat
Fahmi Izhari Izhari
UIN Syekh Ali Hasan Ahmad Addar
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science

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Hybrid Ensemble Learning to Improve Prediction Disease Kidney Chronic Fahmi Izhari Izhari; Rini Meiyanti
JADEN : Journal of Algorithmic Digital Engineering and Networks Vol. 1 No. 1 (2025): The Journal of Algorithmic Digital Engineering and Networks
Publisher : Cv. Data Sinergi Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65853/jaden.v1i1.103

Abstract

Chronic Kidney Disease (CKD) is a major global health issue with a steadily increasing prevalence and high mortality rates. Early detection remains challenging due to non-specific clinical symptoms, often leading to late diagnosis and severe complications such as kidney failure. Machine learning (ML) offers significant opportunities to support early detection and prediction through clinical and laboratory data analysis. However, single models such as Random Forest (RF), Gradient Boosting (GBM), and Support Vector Machine (SVM) still face limitations in generalization and stability when applied to complex and imbalanced datasets. This study proposes a Hybrid Ensemble Learning approach that combines bagging, boosting, and stacking strategies to improve predictive accuracy and robustness. Experimental results using the CKD dataset demonstrate that the Hybrid Stacking model achieves the best performance, with 99% accuracy, 1.0 precision, 0.983 recall, and an AUC-ROC of 0.992. These findings highlight that Hybrid Ensemble Learning, particularly stacking, significantly enhances model sensitivity and reliability, making it a promising tool for supporting clinical decision-making in CKD prediction.
Penerapan Media Digital Canva dan Game Interaktif Educaplay untuk Meningkatkan Pemahaman Budaya Indonesia pada Siswa Sekolah Dasar Fahmi Izhari Izhari; Rusnai Rahayu; Hasanal Fachri Satia Simbolon; Mazdalifah Harahap; Endang Pratiwi Pohan; Dinda Salsabila; Ratna Daulay
Journal of Public Health Vol 2 No 1 (2026): Jurnal Sinergi Digital untuk Pemberdayaan Masyarakat
Publisher : CV. Data Sinergi Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65853/sidena.v2i1.144

Abstract

Pemanfaatan media digital dalam pembelajaran menjadi salah satu upaya untuk menciptakan proses belajar yang lebih interaktif dan berpusat pada peserta didik, khususnya pada materi keberagaman budaya Indonesia di sekolah dasar. Kegiatan Pengabdian kepada Masyarakat ini bertujuan menerapkan media digital Canva dan permainan interaktif Educaplay untuk mendukung pemahaman siswa terhadap materi budaya Indonesia di SD Negeri 200510 Padangsidimpuan. Kegiatan dilaksanakan menggunakan pendekatan Participatory Learning and Training melalui tahapan observasi kebutuhan, penyusunan materi, penyampaian materi menggunakan Canva, implementasi evaluasi berbasis permainan Educaplay, evaluasi, dan refleksi. Data dikumpulkan melalui observasi, dokumentasi, dan hasil evaluasi pembelajaran, kemudian dianalisis secara deskriptif kuantitatif dan kualitatif.Hasil kegiatan menunjukkan adanya peningkatan pada aspek keterlibatan, antusiasme belajar, dan keberanian menjawab pertanyaan, serta mengindikasikan peningkatan pemahaman siswa berdasarkan hasil observasi dan evaluasi pembelajaran. Integrasi kedua media digital tersebut menghasilkan proses pembelajaran yang lebih interaktif, menyenangkan, dan berp.sat pada peserta didik. Kegiatan ini memberikan alternatif strategi pembelajaran digital yang mudah diterapkan oleh guru sekolah dasar untuk mendukung pembelajaran yang inovatif serta meningkatkan kualitas proses pembelajaran
Co-Authors Dinda Salsabila Endang Pratiwi Pohan Hasanal Fachri Satia Simbolon Mazdalifah Harahap Ratna Daulay Rini Meiyanti Rusnai Rahayu