Kemiskinan merupakan permasalahan yang selalu terjadi pada negara berkembang, khususnya Indonesia. kondisi seseorang ketika tidak sanggup untuk menyanggupi kebutuhan sehari-hari. Selama pandemi Covid-19 kemiskinan di DKI Jakarta cenderung meningkat. Pada wilayah Selatan jumlah penduduk miskin terdapat 61,77 ribu jiwa (2,73%) per 2019, lalu meningkat menjadi 78,09 (3,34%) ditahun 2020 dan 81,50 ...

Data clustering is a process of arranging similar data in different groups based on certain characteristics and properties, each group considered as cluster. In the last decades, several nature-inspired optimization algorithms proved to be efficient for computing problems. Firefly algorithm one metaheuristic regarded an tool many issues areas such clustering. To overcome velocity, firefly can i...

This research was conducted to provide an example of predictive business intelligence (BI) dashboard implementation for the food and beverage (businesses that sell fast-expired goods). using data from a bakery's transactional database. The are used perform demand forecasting extreme gradient boosting (XGBoost), recency, frequency, monetary value (RFM) analysis mini batch k-means (MBKM). process...

Clustering in data analysis means data with similar features are grouped together within a particular valid cluster. Each cluster consists of data that are more similar among themselves and dissimilar to data of other clusters. Clustering can be viewed as an unsupervised learning concept from machine learning perspective. In this paper, we have proposed an Enhanced Clustering Methodology to obt...

Problem statement: Clustering and visualizing high-dimensional dynamic data is a challenging problem. Most of the existing clustering algorithms are based on the static statistical relationship among data. Dynamic clustering is a mechanism to adopt and discover clusters in real time environments. There are many applications such as incremental data mining in data warehousing applications, senso...

One of the causes increasing maternal mortality rate in Indonesia is declining performance health services each Indonesian province. To overcome decline performance, namely by determining advance provinces that need to be prioritized for grouping 34 Indonesia. This study aims obtain best provincial results so it can prioritize right provinces. methods are suitable K-Means because simple and eas...

Learning burnout is an impact from work done in a manner Keep going continuously, causing fatigue physical and emotional. If boredom study no handled, got cause students productive inhibits potency student . So that this proposed method clustering for group level saturation students. The process research use Fuzzy C-Means K-Means. According to the previous study, K-Means can produce results bes...

Coronavirus atau Covid-19 adalah virus yang ditemukan di Wuhan, China pada Desember 2019. Virus memiliki kemampuan penyebaran cukup cepat diseluruh dunia termasuk Indonesia melalui interaksi antar manusia dan menginfeksi saluran pernapasan dapat menyebabkan kematian. Kasus terus meningkat membuat perlu dilakukan pemetaan tingkat kerawanan khususnya Pulau Jawa. Algoritma K-Means salah satu metod...

The occurrence of atmospheric discharges poses risks to the company operations and workers in open-air activities. Due this, this paper aimed cluster lightning data, simulating real- time monitoring storms for three different target regions. In addition, information were used predict, 15-minutes earlier, probability a strikes these areas. Using multi-source database from ELAT/INPE, clusterizati...

<span lang="EN-US">Few studies on text clustering for the Malay language have been conducted due to some limitations that need be addressed. The purpose of this article is compare two algorithms k-means and k-medoids using Euclidean distance similarity determine which method best documents. Both are applied 1000 documents pertaining housebreaking crimes involving a variety different modus...