Changes in people's transaction behavior using the internet resulted exponential growth of e-commerce. With digital shopping transactions, it is difficult to predict customer segments and patterns traditional mathematical models. Timely identification emerging trends from large volumes data plays a major role business processes decision making. This different previous research works that apply ...

In December 2019, coronavirus (COVID-19) caused by SARS-CoV-2 was first discovered in Wuhan, China. This virus has a high transmission rate and can be transmitted through droplets, airborne, aerosols. The clinical manifestations are very diverse ranging from mild, moderate, severe. Therefore, this study aims to conduct clustering of the spread Covid-19 pandemic facilitate identification handlin...

Penjualan adalah kegiatan menjual barang dan jasa, apabila manajemen penjualan pada perusahaan kurang baik maka akan mempengaruhi keuntungan. Sehingga, membuat tidak mencapai tujuannya. Jenis usaha yang ada di indonesia sangat beragam, salah satunya Sports Station merupakan retail perlengkapan olahraga. sering mengalami permasalahan dengan ketidakakuratan terstrukturnya data penjualan. berdampa...

Service and total delay are considered for classifying MLOS intersections, respectively. GPS is used to collect travel time speed data turning movements that transformed into average values. Thirteen junctions from eight different cities in India form the dataset. Divisive followed by agglomerative clustering (DAC-HAC) algorithm applied as a two-step process obtaining service ranges. Validation...

customers segmentation and analyzing their behavior at fast moving costumer goods (fmgs) industries which deal with a large number of customers with a variety of characteristics causes the marketing activities to be targeted and leads to effective communication with the customers. segmentation, a data mining approach, which leads to the discovery of similar groups of customers, is usually done ...

ABSTRAK. Penilaian kinerja dosen adalah suatu proses dalam melakukan evaluasi terhadap dan mengevaluasi output pekerjaan dosen. Penelitian ini dilakukan untuk mengkelompokkan dengan memanfaatkan teknik data mining. bertujuan memudahkan memberikan informasi kepada sebagai bahan mengambil keputusan. Metode penelitian yang digunakan yaitu metode Knowledge Discovery in Database (KDD), terdiri dari ...

Aid programs for underprivileged communities need continuous data collection in overcoming welfare problems, what has happened so far is by providing direct assistance to very poor families every village Indonesia. Related this, the problem that occurred program not right on target, because many deserving should receive assistance. The obtained from government accurate, it found considered inva...

Clustering evaluation techniques are important to check the clustering algorithm quality. High cluster similarity help reduce distance between a node within cluster, also good separation was more avoid overlapping clusters. The network performance will increase and signal be high. Many researchers proposed different validation indexes such as Davies–Bouldin, Dunn, Silhouette indexes. These focu...

In an era of big data, face images captured in social media and forensic investigations, etc., generally lack labels, while the number identities (clusters) may range from a few dozen to thousands. Therefore, it is practical importance cluster large unlabeled into efficient or even exact identities, which can avoid image labeling by hand. Here, we propose adaptive facial imagery clustering that...