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13.788  Articles
1 of 1.380 pages  |  10  records  |  more records»
K-Nearest Neighbor is a data mining algorithm that can be used to classify data. K-Nearest Neighbor works based on the closest distance. This research using the Euclidean and Manhattan distances to calculate the distance of Lhokseumawe-Medan bus transport... see more

Abstrak - Kinerja karyawan merupakan hal yang diperhatikan di dalam instansi. Institut Teknologi Nasional Bandung merupakan salah satu instansi dengan jumlah karyawan yang banyak, sehingga sulit  dilakukan pemantauan keberadaan seluruh karyawan. Sala... see more

In face recognition, the input image used will be converted into a simple image, which will then be analyzed. The analysis was carried out by calculating the distance of data similarity. In the process of measuring data similarity distances, they often ex... see more

Fuzzy C-Means is a distance-based clustering process which applied by fuzzy logic concept. Clustering process worked in linear to the iteration process to minimizing the objective function. The objective function is an addition of the multiplication betwe... see more

Case Based Reasoning (CBR) is a method that aims to resolve a new case by adapting the solutions contained in previous cases that are similar to the new case. The system built in this study is the CBR system to make recommendations on the topic of student... see more

Penyimpangan tumbuh kembang anak adalah keadaan proses pertumbuhan dan perkembangan yang tidak wajar atau terganggu/terhambat, bisa terjadi pada tahap intra uterine, kelahiran dan pasca lahir. Namun sebagian orang tua belum memahami hal ini, terutama ora... see more

In data mining, there are several algorithms that are often used in grouping data, including K-Means. However, this method still has several disadvantages, including the problem of the level of accuracy of the methods used to measure the similarities betw... see more

In data mining, there are several algorithms that are often used in grouping data, including K-Means. However, this method still has several disadvantages, including the problem of the level of accuracy of the methods used to measure the similarities betw... see more

This paper is about human face recognition in image files. Face recognition involves matching a given image with the database of images and identifying the image that it resembles the most. Here, face recognition is done using:(a) Eigen faces and(b) apply... see more

1 of 1.380 pages  |  10  records  |  more records»