Distance metrics are often used in a similarity-based algorithm like clustering to improve the
performance when deciding to group data based on similarities. It has a crucial role when …

Oxidation of volatile organic compounds (VOCs) can lead to the formation of secondary
organic aerosol (SOA), a significant component of atmospheric fine particles, which can …

E-commerce has become a medium for online shop** which is growing and popular
among the public. Due to the ease of access for all internet users and the completeness of …

Koperasi mempunyai peranan penting bagi perekonomian Indonesia. Perkembangan
koperasi di Indonesia saat ini cukup pesat, pada data Badan Pusat Stastitik 3 tahun terakhir …

Classical Fuzzy C-Means (FCM) was believed as a robust clustering method when it is
optimized and modified. But, at this time many researchers stated that classical FCM is less …

Oxidation of volatile organic compounds (VOCs) can lead to the formation of secondary
organic aerosol, a significant component of atmospheric fine particles, which can affect air …

Sistem Inferensi Fuzzy memerlukan beberapa tahap untuk mendapatkan output, 1)
pembentukan himpunan Fuzzy, 2) pembentukan aturan, 3) aplikasi fungsi implikasi, 4) …

Abstract The Human Development Index (HDI) is very important in measuring the country's
success as an effort to build the quality of life of people in a region, including Indonesia. The …

Clustering Dan K-means Clustering. Tujuan penelitian ini adalah membandingkan
pengelompokkan curah hujan 15 harian antara metode fuzzy c-means (FCM) dengan K …

Clustering is a data analysis process which applied to classify the unlabeled data. Fuzzy
clustering is a clustering method based on membership value which enclosing set of fuzzy …