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All Journal JRIIN :Jurnal Riset Informatika dan Inovasi Journal Technology Information and Data Analytic
Septiadi, Robby
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Other

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Klasifikasi Penyakit Jantung Menggunakan Extreme Gradient Boosting (XGBoost) Bagus Darmawan, Dimas; Rafli Azahwa, Ibnu; Wijaya Saputra, Rendy; Septiadi, Robby; Rosyani, Perani
Jurnal Riset Informatika dan Inovasi Vol 2 No 8 (2025): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Abstract

Jantung adalah salah satu organ dalam tubuh manusia yang berfungsi sebagai pemompa darah dan oksigen ke seluruh tubuh. Menurut data World Health Organization (WHO), sekitar 17,9 juta orang meninggal setiap tahun akibat penyakit kardiovaskular yang menyerang jantung (Rika Widianita, 2023). Penelitian ini melakukan klasifikasi penyakit jantung menggunakan algoritma berbasis machine learning, yaitu Extreme Gradient Boosting atau XGBoost. Algoritma XGBoost dipilih karena kemampuannya yang menjanjikan dalam melakukan klasifikasi (Kurnia et al., 2023). XGBoost telah digunakan oleh banyak peneliti untuk mendapatkan hasil yang optimal dalam berbagai kasus machine learning. Dalam penelitian ini, model machine learning yang dikembangkan menggunakan XGBoost dibandingkan dengan model lain yang telah diterapkan sebelumnya, seperti Stacking, Random Forest, dan Majority Voting. Hasil pengujian menunjukkan bahwa XGBoost mampu mencapai performa yang baik dalam seluruh metrik evaluasi, termasuk akurasi (Murdiansyah, 2024).
P Perancangan Sistem Absensi Digital dan Monitoring Kehadiran dan Lembur di PT. TRIKARSA BAHTERA ABADI Darmawan, Dimas Bagus; Septiadi, Robby; Saputra, Rendy Wijaya; Haryono, Wasis
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.87

Abstract

Manual attendance systems that are still used in many construction companies often face obstacles such as data manipulation, late recapitulation, and the absence of real-time worker location validation. This study aims to design and implement a web-based digital attendance system with GPS validation and photo documentation to improve the efficiency and accuracy of recording project worker attendance and overtime. The system was developed using the Waterfall approach which includes needs analysis, system design, code implementation, testing, and maintenance. The implementation results show that the system can record attendance and overtime accurately, and facilitate monitoring by project admins through an interactive dashboard. The system also provides separate user roles such as admin, finance, SEM, owner, and workers, each of which has access to relevant features. With this system, the process of monitoring and decision-making related to attendance management becomes faster, more transparent, and more integrated.
Co-Authors Bagus Darmawan, Dimas Dimas Bagus Darmawan, Dimas Bagus Haryono, Wasis Perani Rosyani Rafli Azahwa, Ibnu Saputra, Rendy Wijaya Wijaya Saputra, Rendy