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All Journal Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains
Aldis Sahputra
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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IMPLEMENTASI SISTEM PENDATAAN SISWA BARU MENGGUNAKAN METODE AGILE Rizki Aditiya; Aldis Sahputra
Journal of Research and Publication Innovation Vol 3 No 1 (2025): JANUARI
Publisher : Journal of Research and Publication Innovation

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This internship report aims to document the implementation process of a student data collection system at the Baitul Yatim H. Caong Foundation using the Agile method. In today's digital era, efficient and accurate student data management is very important to support administrative activities and decision making. The Agile method was chosen because of its flexibility in dealing with changing needs and its ability to improve collaboration between the development team and stakeholders. This project began with a needs analysis involving the foundation to understand the existing data collection process. Furthermore, a system design was carried out that prioritized user experience and ease of access. Implementation was carried out in several iterations, where each iteration produced new features that were immediately tested and evaluated. The result of this implementation is an integrated student data collection system, allowing for faster and more accurate data management. From the evaluation results, this system has succeeded in increasing the efficiency of the data collection process and making it easier for foundation staff to access student information. This report is expected to be a reference for other institutions that want to implement a similar system and provide insight into the application of the Agile method in the development of educational information systems.
DETEKSI WAJAH BERBASIS SEGMENTASI WARNA KULIT MENGGUNAKAN RUANG WARNA YCbCr & TEMPLATE MATCHING Aldis Sahputra; Raden Azka Hermanto; Muhamad Anwar; Muhamad Reza Ghifari
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 07 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Face Detection is an important part of digital image processing to determine the location, size and number of faces in an image. Face detection is the initial stage in a facial recognition system that is used for personal identification, human-computer interaction, monitoring systems, criminal law and so on. This study presents face detection with skin color segmentation & template matching methods. The first step is to make a skin color model by transforming into YCbCr and then find the average number of facial skin colors. Next build a Gaussian distribution for the chroma chart which shows the possible skin colors. Adaptive thresholding is used to emphasize skin and non-skin areas presented in binary images. Segmentation of skin areas is done by labeling. Face candidates are obtained from calculating the number of holes in the segmented skin area, calculating the face width-to-height ratio and matching with the face template (template matcing). The centroid of the detected face is calculated and a marker is placed at the centroid of the face in the image. Based on trials with the Matlab 2011 tool with datasets taken from FDDB (Face Detection Data Set and Benchmark), the detection accuracy obtained from trials on 76 images with varied backgrounds and lighting levels reached 81.58%.
Co-Authors Muhamad Anwar Muhamad Reza Ghifari Raden Azka Hermanto Rizki Aditiya