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Implementasi Algoritma K-Mean Clustering dan Mean-Variance Efficient Portfolio One Constrain dalam Optimasi Bobot Portofolio Saham
Klasterisasi (Clustering) merupakan teknik yang digunakan dalam analisis data untuk
mengelompokkan sekumpulan objek berdasarkan karakteristik tertentu, sedemikian hingga objek
dalam satu kelompok lebih mirip satu sama lain dibandingkan dengan…
mengelompokkan sekumpulan objek berdasarkan karakteristik tertentu, sedemikian hingga objek
dalam satu kelompok lebih mirip satu sama lain dibandingkan dengan…
Comparison of the RFM Model's Actual Value and Score Value for Clustering
Clustering algorithms and Recency-Frequency-Monetery (RFM) models are widely implemented in various sectors of ecommerce, banking, telecommunications, and other industries to obtain customer segmentation. The RFM model will assess a
line of data…
line of data…
Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews
Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist
attractions. Reviews are a type of multi-document, where one place has several reviews from different users.…
attractions. Reviews are a type of multi-document, where one place has several reviews from different users.…
K-Means Algorithm Implementation for Project Health Clustering
Indonesia has several companies that are engaged in the telecommunications sector. Various projects run in parallel to support
the success of telecommunications companies. A project’s potential can boost the company’s revenue and productivity. On…
the success of telecommunications companies. A project’s potential can boost the company’s revenue and productivity. On…
Antlion Optimizer Algorithm Modification for Initial Centroid Determination in K-means Algorithm
Clustering is a grouping of data used in data mining processing. K-means is one of the popular clustering algorithms, easy to
use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid…
use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid…
Clustering Analysis and Mapping of ISPA Disease Spread Patterns in Bireuen District
ISPA disease can be detected by analyzing the regional distribution map of the disease. Early detection of ARI is very important
for effective prevention. The study conducted in Bireuen Regency used data from 2019 to 2021, sourced from dr. Fauziah…
for effective prevention. The study conducted in Bireuen Regency used data from 2019 to 2021, sourced from dr. Fauziah…
Analysis of Livestock Meat Production in Indonesia Using Fuzzy C-Means Clustering
The production of livestock in Indonesia is one type of food that the public can consume. Indonesia is still importing meat for food for its people. This study aims to classify provinces in Indonesia with high livestock meat production and low…
Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale
Learning activities are one of the processes of delivering information or messages from teachers to students. SMPN 4 Sidoarjo is a State Junior High School (JHS) located in Sidoarjo Regency. During
the learning process, the collected academic score…
the learning process, the collected academic score…
A COMPARISON OF CLUSTERING BY IMPUTATION AND SPECIAL CLUSTERING ALGORITHMS ON THE REAL INCOMPLETE DATA
The existence of missing values will really inhibit process of clustering. To overcome it, some of scientists have found several solutions. Both of them are imputation and special clustering algorithms. This paper compared the results of clustering…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A sink based data gathering technique by using clustering for wireless sensor networks
New advance and integrated technologies have changed the traditional
systems and convert these systems into more intelligent, feasible and cost effective systems. In all data communications domain, data gathering is one of the significant task…
systems and convert these systems into more intelligent, feasible and cost effective systems. In all data communications domain, data gathering is one of the significant task…