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Journal : PROXIES

STUDENT CLUSTERING BASED ON ACADEMIC USING K-MEANS ALGORITMS Leong, Hironimus; Wahyuningrum, Shinta Estri
PROXIES Vol 1, No 1 (2012)
Publisher : PROXIES

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Abstract

One goal of clustering data mining is to find a cluster of a particular data modeling. By modeling the data, it can provide more description of the data being analyzed and can be visualized in graphical form. One of the methods used in data mining to search for data modeling is to use K-means algorithm analysis. K-Means algorithm is used to find groupings of data with specific points, called the centroid. By grouping the data, then large amounts of data, grouped in a simpler visualization. The final results can be used as Decision Support System
PENCARIAN GAMBAR DI DALAM FOLDER DENGAN INPUT GAMBAR TERPOTONG Wahyuningrum, Shinta Estri; Leong, Hironimus
PROXIES Vol 1, No 1 (2012)
Publisher : PROXIES

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Abstract

Habits of computer users are storing data with poor management, this causes the data search process becomes more difficult. Software on a computer that is commonly used for searching process use "key" in the form of text. This research try to find a picturre based on picture input using template metcing method. Template matching method compare input picture with every picture on the directory file
DETEKSI NOMINAL MATA UANG DENGAN JARAK EUCLIDEAN DAN KOEFISIEN KORELASI Gracecia, Marina; Wahyuningrum, Shinta Estri
PROXIES Vol 1, No 1 (2017)
Publisher : Universitas Katolik Soegijapranata

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Abstract

Recognition of money nominal is based on image grouping by reading color and specific pattern on the left side of money. The calculation of similarity is done by using euclidean distance and coefficient correlation.
PENGHITUNGAN LINGKARAN TAHUN DENGAN EDGE LINKING DAN CHAIN CODE Stephanus, Panji; Wahyuningrum, Shinta Estri
PROXIES Vol 1, No 1 (2017)
Publisher : Universitas Katolik Soegijapranata

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Abstract

Annual ring is growth ring which exists on tree trunk. Every year, this ring will expand and form new ring. These rings can be the standard to determine the age of a tree. This project aims to count the annual rings using edge linking adn chain code. The image of annual rings will be first converted to grayscale image, then applying median filtering process. And then doing the edge detection process then continued with edge linking. After finished, the next step is doing thresholding to separate the detected annual rings object with the background then count the rings using chain codennual rings object with the background then count the rings using chain code.