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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Implementation of K-means algorithm in data analysis
Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems,a solution is needed in managing cosmetic products and can find the right strategy so that it can…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A method for semantic-based image retrieval using hierarchical clustering tree and graph
Semantic extraction for images is an urgent problem and is applied in many different semantic retrieval systems. In this paper, a semantic-based image retrieval (SBIR) system is proposed based on the combination of growth partitioning tree (GP-Tree),…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Predicting student performance in higher education using multi-regression models
Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of two methods on vector space model for trust in social commerce
The study of dealing with searching information in documents within web
pages is information retrieval (IR). The user needs to describe information with
comments or reviews that consists of a number of words. Discovering weight
of an inquiry term…
pages is information retrieval (IR). The user needs to describe information with
comments or reviews that consists of a number of words. Discovering weight
of an inquiry term…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq
The problem of unemployment is one of the most important problems faced
by most countries of the world, and it is one of the intractable problems in
developing countries, and in Iraq unemployment occupies great importance
due to its high rates.…
by most countries of the world, and it is one of the intractable problems in
developing countries, and in Iraq unemployment occupies great importance
due to its high rates.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Frequent pattern growth algorithm for maximizing display items
Products are goods that are available and provided in stores for sale. Products
provided in stores must be arranged properly to order to attract the attention of
consumers to buy. Products arranged in a store will depend on the type of store.
The…
provided in stores must be arranged properly to order to attract the attention of
consumers to buy. Products arranged in a store will depend on the type of store.
The…
Klasifikasi Data Mining Dalam Menentukan Pemberian Pinjaman Berbasis Arisan Online
Arisan JIP yang berada di bawah naungan PT. Solusi Pertiwi Indonesia adalah sebuah bisnis
pinjaman online berbasis arisan yang berjalan sejak 2020 hingga sekarang dengan kegiatan
berupa simpanan dan pinjaman. Usaha bisnis arisan online sejenis…
pinjaman online berbasis arisan yang berjalan sejak 2020 hingga sekarang dengan kegiatan
berupa simpanan dan pinjaman. Usaha bisnis arisan online sejenis…
Penerapan Data Mining untuk Prediksi Penjualan Produk Sepatu Terlaris Menggunakan Metode Regresi Linier Sederhana
Prediksi penjualan adalah perkiraan penjualan pada waktu yang akan datang dalam keadaan
tertentu dan dibuat berdasarkan data yang telah terjadi. Prediksi ini dipengaruhi oleh penjualan
produk di PT.Sepatu Bata. Regresi Linier Sederhana adalah…
tertentu dan dibuat berdasarkan data yang telah terjadi. Prediksi ini dipengaruhi oleh penjualan
produk di PT.Sepatu Bata. Regresi Linier Sederhana adalah…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Adaptive Multi-level Backward Tracking for Sequential Feature Selection
Abstract. In the past few decades, the large amount of available data has become a major challenge in data mining and machine learning. Feature selection is a significant preprocessing step for selecting the most informative features by removing…
Penerapan Data Mining Untuk Rencana Penambahan Stok Produk Menggunakan Algoritma Apriori
Data mining adalah suatu metode yang memungkinkan para pengguna untuk mengakses data
secara cepat atau menggali data yang tersembunyi dari sebuah data yang besar. Sebagai contoh,
data mining dapat digunakan untuk mencari informasi kombinasi item…
secara cepat atau menggali data yang tersembunyi dari sebuah data yang besar. Sebagai contoh,
data mining dapat digunakan untuk mencari informasi kombinasi item…