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Found 7 from your keywords: subject="Clustering"
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OPTIMASI NILAI KLASTER PADA ALGORITMA K-MEANS MENGGUNAKAN ALGORITMA FIREFLY
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W, Febiyanti 

K-Means is one of the most commonly used clustering algorithms for grouping data with similarities within a cluster. However, there are limitations in K-Means clustering, such as clustering results being initialized based on random centroid points and the number of clusters used. To improve the performance of the K-Means algorithm, the Firefly Algorithm is used for clustering optimization. The …

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xiii, V-5 hlm.; ilus.; 29 cm
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T1506302024
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MODEL RECENCY, FREQUENCY, MONETARY (RFM) DENGAN K-MEANS CLUSTERING UNTUK SEGM…
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Amelia, Sylvia

PT Nutri Choco Nusantara or known as Nichoa is a new company focused in the healthy chocolate industry using local ingredients in Indonesia. Given the number of business competitors in the same business, company owners must be able to make efforts to prevent customer movement, because satisfied customers can provide many benefits to the company such as enabling customer loyalty. For this reason…

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xii, 80 hlm.; ilus.; tab.; 29 cm.
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T1459082024
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ANALISIS DATA PENUMPANG KAPAL PROVINSI DKI JAKARTA MENGGUNAKAN METODE CLUSTER…
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Febrianti, Rani

Port infrastructure plays an important role in supporting inter-island connectivity and marine transportation services. In this study, we used the K-means clustering method to identify patterns and gain insights from historical data. The results of this study are presented in the form of three clusters of passenger ship with different levels of passenger numbers and departing ship, grouping the…

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xiv, 67 hlm.; ilus.; tab.; 29 cm.
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T1461072024
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Pengaruh Algoritma Semantic Suffix Tree Clustering Terhadap Tingkat Akurasi S…
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Dininta Isnurthina

DISCAN

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xvii, 282 hlm. : ilus
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-
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Penerapan Data Mining Menggunakan Metode Clustering Pada Data Penjualan (Stu…
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Agnes Meita Apifa

Data mining merupakan pola yang penting atau ekstraksi informasi atau menarik dari data yang ada di database yang besar sehingga menjadi informasi yang sangat berharga. Salah satu metode yang terdapat dalam data mining yang digunakan dalam penelitian ini adalah clustering yang merupakan pengidentifikasian objek-objek yang memiliki kesamaan karakteristik tertentu, dan kemudian menggunakan karakt…

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xiv, 84 hlm. : ilus. ; 30 cm + CD
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Call Number
005.360 7 Agn p
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Visualisasi serangan remote to local (r2l) dengan clustering k-means
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Eko Arip Winanto

Visualisasi merupakan salah satu teknik untuk meningkatkan akurasi deteksi serangan yang terjadi di jaringan. Visulisasi bertujuan untuk mempermudah dalam mengenali dan menyimpulkan erangan terjadi. Clustering k-means dapat digunakan untuk mendeteksi paket serangan dan paket normal. Serangan remote to local adalah serangan yang dilakukan oleh attacker untuk mendapatkan akses akun ke sebuah sis…

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vi, 61 hlm. : ilus.
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Clustering dokumen berbahasa Indonesia menggunakan K-Medoids
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Salenasti Sibagariang

Clustering dokumen digunakan untuk mempermudah pencarian dokumen. Jurnal penelitian disajikan dalam jumlah yang banyak akan sulit dilakukan clustering secara manual. Clustering dokumen sesuai kategorinya berdasarkan isitopik dokumen tersebut tidaklah mudah. Sistem harus mengenali atau mengidentifikasi isi dokumen-dokumen tersebut. Penelitian ini mencoba mengembangkan perangkat lunak yang dapat…

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vii, 125 hlm. : ilus.
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-
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