Constructed wetlands used to mitigate pesticide runoff from agricultural fields into receiving systems (e.g., lakes, rivers, streams) have been successful in reducing concentrations of non-point source pollutants such as agricultural insecticides (Moore et al., 2002; Leistra et al., 2003; Bouldin et al., 2005). Such wetlands also have important functions in enhancing the water quality and ecolo...

Clustering techniques are widely used in “Web Usage Mining” to capture similar interests and trends among users accessing a Web site. For this purpose, web access logs generated at a particular web site are preprocessed to discover the user navigational sessions. Clustering techniques are then applied to group the user session data into user session clusters, where intercluster similarities are...

Segmentation of digital image plays a major role in computer visualization. It is used to extract meaningful objects that exist on the images. Region based clustering is done to extract objects based on the colors present in the satellite images. The principle of clustering is to identify the similar domains from a huge data set to produce an accurate representation of the image. In this paper,...

Indonesia is a country that has population density increasing every year, with the increase in density, crime rate increasing. Criminal acts arise because they are supported by factors cause crime. To improve security and welfare of Indonesian people, authors grouped each province based on influence This study uses comparison Fuzzy C-Means Clustering (FCM) Gustafson-Kessel (FGK) methods using v...

Diarrhea is an endemic disease that contributes to the high mortality rate in Indonesia, especially among children under five. The Kuningan District Health Office had difficulties monitoring and supervising spread of diarrheal diseases. This study aims produce a mapping scheme priority areas handling prevention control five Regency. method used Data Mining Clustering by comparing two algorithms...

One aspect of the discipline an employee in agency can be seen from side attendance. The level attendance is closely related to employee's disciplinary assessment. by looking at hours or check attendance, so that with these parameters you will get early, on time and late entry. This study explores data using k-means clustering algorithm. Before calculating algorithm, attribute selection informa...

Pandemi COVID-19 dalam kurun waktu dua tahun berhasil menginfeksi jutaan orang di seluruh dunia dan menyebabkan banyak kematian. Guna menghentikan penyebaran virus, pemerintah melakukan tindakan yaitu menerapkan protokol kesehatan mewajibkan vaksinasi kepada masyarakat. Namun, kegiatan masih lamban untuk mencapai target. Maka dari itu, penelitian ini akan dilakukan suatu pengelompokan mengetahu...

Penelitian bertujuan untuk mengetahui seberapa besar hasil dari pengelompokkan barang berpengaruh terhadap kebutuhan konsumen. Kelebihan persediaan akan sangat memenuhi gudang dan tidak efesien karena adanya tanggal expired pada produk makanan, minuman lain-lain. Saat ini Toko Raja masih mengelola secara manual sehingga efesiennya waktu. Untuk menyelesaikan masalah tersebut maka dibutuhkan suat...

This research aims to cluster mall visitors. is motivated by the mall's income which has decreased since pandemic. Later from these several clusters we can find out characteristics of Those will be used later increase mall. In this research, use a dataset Kaggle named Pengunjung_mall in CSV format processed using Python language on Jupiter Notebooks K-Means method. To ensure how accurate method...

Due to the current high availability of omics, data-driven biology has greatly expanded, and several papers have reviewed state-of-the-art technologies. Nowadays, two main types investigation are available for a multi-omics dataset: extraction relevant features meaningful biological interpretation clustering samples. In latter case, few reviews refer some outdated or no longer methods, whereas ...