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All Journal JURNAL TIARSIE Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
Emil Herdiana
Universitas Putra Indonesia Cianjur
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Other

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Journal : INTERNAL (Information System Journal)

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Deteksi Wajah Kehadiran Mahasiswa Saat Perkuliahan Daring Menggunakan Metode Klasifikasi Nearest Neighboarhood Emil Herdiana; Indra Rustiawan; Zatinniqotaini Zatinniqotaini; Nova Indarayana Yusman
INTERNAL (Information System Journal) Vol. 4 No. 2 (2021)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v4i2.257

Abstract

Recording student attendance  during lectures with an online system [on the network] is very necessary to assist both lecturers and the academic department in recording each student's attendance. Therefore the author will make an approach method based on face detection [face recognition] with the K-Nearest Neighbor algorithm or often called the K-NN algorithm, which is a supervised learning algorithm where the results of the new instance are classified based on the majority of the k-nearest neighbors. . The purpose of this algorithm is to classify new objects based on attributes and samples of student attendance/attendance. The k-Nearest Neighbor algorithm uses the Neighborhood Classification which will be used as the predictive value of the new instance so that it will get a value that will approximate the student's facial resemblance.
Co-Authors Indra Rustiawan Lia Saniah Nova Indarayana Yusman R Riyadhi Reyta, Fitriani Yiyi Supendi Zatinniqotaini Zatinniqotaini