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Stroke Classification Comparison with KNN through Standardization and Normalization Techniques Firmansyah, Muhammad Raihan; Astuti, Yani Parti
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17685

Abstract

This study explores the impact of z-score standardization and min-max normalization on K-Nearest Neighbors (KNN) classification for strokes. Focused on managing diverse scales in health attributes within the stroke dataset, the research aims to improve classification model accuracy and reliability. Preprocessing involves z-score standardization, min-max normalization, and no data scaling. The KNN model is trained and evaluated using various methods. Results reveal comparable performance between z-score standardization and min-max normalization, with slight variations across data split ratios. Demonstrating the importance of data scaling, both z-score and min-max achieve 95.07% accuracy. Notably, normalization averages a higher accuracy (94.25%) than standardization (94.21%), highlighting the critical role of data scaling for robust machine learning performance and informed health decisions.
Ramadhanan Bareng Teknik Mesin (RBTM) 2024: Cara Mahasiswa Teknik Mesin UNNES dalam Mengisi Kegiatan di Bulan Ramadhan Iskandar, Ranu; Naryanto, Rizqi Fitri; Widodo, Rahmat Doni; Kriswanto; Misbah, Abdillah Habib Al; Harahap, M. Abiyyu Hafizh; Firmansyah, Muhammad Raihan; Amirudin, Eka; Panjaitan, Eliza Laura; Hamdi, Ilham Falah; Dharma, Mahardika Setya; Farras, Herdin Bergas; Saputra, Muhammad Dwi; Saputra, Muhammad Rizal; Mahasurya, Muhammad Saddam; Suhartian, Muhammad Ryo; Maulana, Muhammad Akmal; Ulhakim, Muhammad Zia; Natasya, Alya Widya; Alfarizy, Ibnu; Nugroho, Cahyo Adin
Jurnal Pengabdian West Science Vol 3 No 05 (2024): Jurnal Pengabdian West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpws.v3i05.1138

Abstract

Bulan Ramadhan merupakan bulan suci umat Islam dimana banyak pahala yang dilipatgandakan jika kita berbagi kepada sesama yang membutuhkan kepedulian dan perhatian. Mahasiswa yang tergabung dalam HIMPRO TM FT UNNES mengadakan Ramadhanan Bareng Teknik Mesin (RBTM) 2024. Tujuan kegiatan pengabdian ini adalah untuk mengisi kegiatan mahasiswa Departemen Teknik Mesin, Fakultas Teknik, Universitas Negeri Semarang di bulan Ramadhan. Tahapan pengabdian yang dilakukan yaitu: (1) Persiapan, (2) Pelaksanaan, (3) Evaluasi, dan (4) Pelaporan. Hasil kegiatan pengabdian menunjukan bahwa: (1) jumlah anak-anak yang mengikuti kegiatan berjumlah orang, (2) 100% anak-anak Panti Asuhan Al Qodri dan penerima takjil di Simpang 7 UNNES merasa kegiatan ini bermanfaat. Saran untuk RBTM kedepannya yaitu lebih banyak mencari sponsor, cek berkala seluruh peralatan yang akan digunakan di hari H, lebih disiapin lagi buat acara hari H, cari tempat konsumsi yang tertutup/ kondusif, lebih perhatikan lagi dalam pemasangan backdrop.