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All Journal Jurnal Dimamu INTERNAL (Information System Journal)
Nova Indarayana Yusman
Universitas Ma’soem
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Other

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Rancang Bangun Sistem Informasi Pengarsipan Surat Masuk Keluar Berbasis Website di Desa Gudang Tanjungsari Kanda M. Ishak; Nova Indarayana Yusman; Arinda Nurmeilana
Jurnal Dimamu Vol. 1 No. 2 (2022)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1759.292 KB) | DOI: 10.32627/dimamu.v1i2.470

Abstract

Desa Gudang is located at Jalan Raya Tanjungsari No.365 Tanjungsari Sumedang 45362. The filing system currently running in Desa Gudang is still done manually and can only be done during working hours. Where the archiving process is the officer records incoming and outgoing mail data in a book and then stored in a filing cabinet that could be damaged or lost. Therefore, a new system is needed. The design of the Website-Based Information System for Archiving Incoming and Outgoing Mail is a system that will be built to facilitate the work of recording incoming and outgoing mail archives. The design method used in this information system in describing the data flow is by using OOAD (Object Oriented Analysis and Design) with the RUP (Rational Unified Process) model equipped with UML (Unified Modeling Language) development tools. Thus the design of the incoming and outgoing mail archiving information system that will be built can assist in the process of recording archives, and can overcome existing problems and archives can be accessed outside of working hours.
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 Arinda Nurmeilana Emil Herdiana Indra Rustiawan Kanda M. Ishak Zatinniqotaini Zatinniqotaini