Akta kelahiran merupakan dokumen yang berisikan informasi tentang bayi wajib dimiliki sebagai seorang warga negara, diharapkan kedepannya dapat digunakan untuk memperoleh pelayanan publik lainnya. Di Jawa Barat terdapat 18 kabupaten juga 9 kota. Adanya ketidaksesuaian antara jumlah kepemilikan akta dan penduduk menjadi salah satu masalah terjadi pada Dinas Kependudukan Pencatatan Sipil (Disdukc...

Kakao ialah salah satu komoditas unggulan dari sektor perkebunan bahkan produksi kakao dinilai mampu meningkatkan devisa negara. Di Indonesia khususnya Provinsi Sulawesi Selatan memiliki yang besar dimana hampir semua Kabupaten/Kota terdapat di memproduksi kakao. Tujuan dalam melakukan penelitian ini untuk pengelompokan daerah pada Selatan. Adapun algoritma digunakan yakni K-Means serta K-Medoi...

Clustering is an automatic learning technique aimed at grouping a set of objects into subsets or clusters. Objects in the same cluster should be as similar as possible, whereas objects in one cluster should be as dissimilar as possible from objects in the other clusters. Document clustering has become an increasingly important task in analysing huge documents. The challenging aspect to analyse ...

Traditionally, an unsupervised classification divides all pixels within an image into a corresponding class pixel by pixel; the number of clusters usually needs to be fixed a priori by a human analyst. In general, the spectral properties of specific information classes change with the seasons, and therefore, the relation between object class and spectral cluster is not constant over time. In ad...

In the field of information retrieval, clustering algorithms are used to analyze large collections of documents with the objective to form groups of similar documents. Clustering a document collection is an ambiguous task: A clustering, i. e. a set of document groups, depends on the chosen clustering algorithm as well as on the algorithm’s parameter settings. To find the best among several clus...

The clinical data including clinical test results, MRI images and drug responses of patients are documented and analyzed with machine learning and data mining tools. The scale and complexity of these datasets is a big challenge to machine learning and data mining community as the data is of mixed type. The extraction of meaningful or desired information from these datasets provides knowledge in...

Medical image segmentation is a key step towards medical image analysis. The objective of medical image segmentation is to delineate Region Of Interests (ROI) from the images. Hybridization of nature inspired algorithms with soft computing provides accurate image segmentation results in less computation time. In this work, various algorithms for medical image segmentation which help medical pra...

Brain–computer interface (BCI) systems based on electroencephalography have been increasingly used in different contexts, engendering applications from entertainment to rehabilitation in a non-invasive framework. In this study, we perform a comparative analysis of different signal processing techniques for each BCI system stage concerning steady state visually evoked potentials (SSVEP), which i...

Clustering process is defined as grouping similar objects together into homogeneous groups or clusters. Objects that belong to one cluster should be very similar to each other, but objects in different clusters will be dissimilar. It aims to simplify the representation of the initial data. The automatic classification recovers all the methods allowing the automatic construction of such groups. ...

For the purpose of successfully developing a prosthetic control system, many attempts have been made to improve the classification accuracy of surface electromyographic (SEMG) signals. Nevertheless, the effective feature extraction is still a paramount challenge for the classification of SEMG signals. The relative frequency band energy (RFBE) method based on wavelet packet decomposition was pro...