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All Journal Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Jurnal Ilmiah Sistem Informasi
Hermansyah, Muhammad Ardi
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Other

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Implementation of the K-Nearest Neighbor (KNN) Algorithm in Handwritten Digit Pattern Recognition Using the Zoning Method Asmaraloka, Afilda Maharani; Nisa, Kharisatun; Hermansyah, Muhammad Ardi; Saputra, Fikri Hamdhan Dwi; Setiawan, Arif
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 2 (2025): Mei : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/kf6s5f56

Abstract

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors
Implementasi Sistem Absensi Mahasiswa Magang Berbasis Website di Kantor Kementrian Agama Kabupaten Kudus Hermansyah, Muhammad Ardi; Laily Fithri, Diana
Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 1 (2025): Volume 7, No 1, Desember 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/atjpm.v7i1.7380

Abstract

Pencatatan kehadiran mahasiswa magang di Kantor Kementerian Agama Kabupaten Kudus sebelumnya dilakukan secara manual, sehingga prosesnya kurang efisien dan sering menimbulkan ketidaktepatan data. Kegiatan ini bertujuan merancang sebuah sistem absensi berbasis web untuk menyediakan mekanisme pencatatan kehadiran yang lebih terstruktur dan mudah diakses. Pengembangan sistem memanfaatkan model Waterfall melalui beberapa tahapan, mulai dari identifikasi kebutuhan, penyusunan rancangan, pembangunan aplikasi, hingga pengujian dan penilaian akhir. Sistem yang dihasilkan diuji oleh sepuluh mahasiswa magang serta dua pengelola data. Implementasi fitur pemindaian QR code pada aplikasi ini terbukti mempercepat proses absensi dan meningkatkan ketelitian data dibandingkan metode konvensional. Selain itu, penyajian laporan kehadiran dapat dilakukan secara otomatis sehingga mempermudah pengelola dalam melakukan rekapitulasi. Hasil tersebut sejalan dengan prinsip efektivitas sistem informasi bahwa digitalisasi proses administrasi mampu meningkatkan kinerja dan meminimalkan kesalahan pencatatan. Secara keseluruhan, sistem absensi berbasis web ini memberikan alternatif yang lebih efisien dalam pengelolaan kehadiran dan mendorong mahasiswa magang lebih aktif dalam proses absensi.
Co-Authors Arif Setiawan asmaraloka, afilda maharani Laily Fithri, Diana Nisa, Kharisatun Saputra, Fikri Hamdhan Dwi