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Alinse , Rizka Tri
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Computer Science & IT

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Prototype Of Android-Based Face Detection Attendance Application Using Hog Method At PT. Thamrin Brothers Seluma Agustin, Decki; Yupianti, Yupianti; Alinse , Rizka Tri
Jurnal Komputer Indonesia Vol. 1 No. 2 (2022): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i2.19

Abstract

PT. Thamrin Brothers Seluma is a company engaged in the automotive trade, especially two-wheeled vehicles, which is located in Seluma Regency, Bengkulu Province, Indonesia. The company needs an attendance system that can improve the weaknesses of the current attendance system. If the equipment damage and there is a power outage, as a result, attendance is made manually, while the attendance system is very necessary in monitoring employee attendance every day at the company. The method used is the Hinstogram of Oriented Gardens, which is a method that helps detect faces in designing Android-based face detection attendance application. It will make it easier for users to make attendance by way of face detection using an Android smartphone. Besides that, PT. Thamrin Brothers Seluma can more easily monitor the attendance of its employees. Based on system testing at PT. Thamrin Brothers Seluma can be concluded that the design of the Android-based face detection attendance application has met what was expected by PT. Thamrin Brothers Seluma well.
Application of K-Means Clustering Method in Determining Student Majors at SMA Negeri 6 Bengkulu Tengah Based on Student Subject Values Per Semester Ikbal, Muhammad; Yupianti, Yupianti; Alinse , Rizka Tri
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.30

Abstract

At SMA Negeri 6 Bengkulu Tengah the Department is divided into 2, namely science and social studies. Determination of majors in schools is done based on the value per subject obtained by students. However, the data processing process is still done manually, sometimes students can choose the desired majors themselves so that over time the student learning process looks bored because the majors chosen are not in accordance with what students expect. The clustering application of student subject values ​​per semester at SMA Negeri 6 Bengkulu Tengah is used to assist the school in managing student data, the value of student subjects so that the appropriate student majors are known based on the scores obtained by students. In grouping the student's subject value data in the application, the K-Means Clustering method has been applied so that it can produce 2, namely Cluster C1 (IPA) and Cluster C2 (IPS). The application for clustering student subject values ​​per semester at SMA Negeri 6 Bengkulu Tengah was made using the Visual Basic.Net programming language. Based on the results of the tests that have been carried out, the functional clustering application of student subject values ​​per semester at SMA Negeri 6 Bengkulu Tengah runs well as expected and can provide information on the results of clustering student data into 2 groups, namely science and social studies.
Co-Authors Agustin, Decki Ekasari, Leni Hidayat, Karno Saputra Irawansyah, Riki Khairil Khairil Maryaningsih, Maryaningsih Monika, Lola Eris Muhammad Ikbal Ridwan, Agung Laksono S Siswanto sapri sapri Suhardi, Nadia Elisa Yupianti, Yupianti