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Perancangan Sistem Informasi Pondok Pesantren Berbasis Aplikasi Dekstop Dengan Metode Extreme Programming Andhika Noviantara; Luzen Aji Budiman; Raden Azka Hermanto; Saprudin
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 2 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

In the current era of globalization, information systems using highly sophisticated and modern computer technology will make it easier for us to perform data processing that can save time, space and costs. And the useful results of the information obtained will be very satisfying and useful for an institution or agency that uses it. Processing data and information quickly, precisely and efficiently is an important thing that is needed for institutions or agencies, one of which is the Bahrul Hadi Arrahmani Islamic Boarding School Foundation. The process of collecting data on santri/santriwati so far is still using the manual method; when collecting data; the administrators are still manual, with the existence of this desktop application technology, it is hoped that it can assist administrators in carrying out data collection efficiently. A good information system can help improve efficiency and productivity in the daily operations of a boarding school. The Extreme Programming (XP) method is a software development methodology that involves practices such as adaptive planning,continuous testing, and iterative delivery. This research was conducted by applying the XP principles in each stage of the development of Islamic boarding school information systems. The development stages include planning, needs analysis, design, implementation, testing, and delivery. During the development phase, the XP method is implemented by performing adaptive planning, continuous testing, and iterative delivery to ensure the quality of the information system. The results of this study are Islamic boarding school information systems that can increase efficiency and productivity in the daily operations of Islamic boarding schools.
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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Abstract

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%.