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Found 9 from your keywords: subject="K-Means"
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PENGELOMPOKAN PROVINSI DI INDONESIA MENGGUNAKAN ALGORITMA K-MEANS BERDASARKAN…
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Darmadi, Rio

The high school dropout rate in public high schools remains a significant problem in Indonesia due to various factors, such as socioeconomic conditions, educational facilities, and the ratio of teachers to students. This study aims to group provinces in Indonesia based on the indicator of high school dropout rates in 2024/2025 using the K-Means Clustering algorithm. The data used were obtained …

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Collation
xiv, 61 hlm.; ilus.; 29 cm
Series Title
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Call Number
T1950012026
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ANALISIS K-MEANS CLUSTERING UNTUK MENGELOMPOKKAN WAKTU MINGGUAN BERDASARKAN E…
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Angelia, Dinny Indah

Infused water or spa water is water that is added with pieces of fruit and left to stand for a few hours until the juice comes out, then ready to be consumed, thus providing flavor and health benefits. The lime peel of an orange contains more than 60% flavonoids and 170 different types of phytonutrients. Processing lime as an infused water drink can be an alternative to overcome acidity in citr…

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xvii, 61 hlm.; ilus.; 29 cm
Series Title
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Call Number
T1906992025
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KLASTERISASI TUGAS AKHIR MAHASISWA FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJA…
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Marevin, Yolanda

The final project is an important stage in a student's study journey, which often requires exploration and in-depth understanding in a discipline. This research aims to cluster final project topics based on the attributes of student final project titles, especially at the Faculty of Computer Science, Sriwijaya University, using the K-means clustering method. The data analyzed comes from the fac…

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Collation
xiv, VI-1 hlm.; ilus.; tab.; 28 cm
Series Title
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Call Number
T1445922024
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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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Collation
xii, 80 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
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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Collation
xiv, 67 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1461072024
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IMPLEMENTASI METODE K-MEANS DAN METODE ANALYTIC HIERARCHY PROSES (AHP) DALAM …
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Savitri, Riska Wati 

The hotel is a building with many rooms that can be rented to stay overnight for tourists.However, many travelers feel deceived in choosing a hotel. Therefore, there must be a choice of the best hotel to be chosen by tourists. One useful algorithm for choosing the best hotel is the K-Means and Analytic Hierarchy Process (AHP). K-means used to find the best hotel cluster, then ranked with AHP to…

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ISBN/ISSN
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Collation
xv, VI-2 hlm.; tab., ilus.: 28 cm
Series Title
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Call Number
T397362020
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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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Analisis Perbandingan Metode K-Means dan Metode Naïve Bayes untuk Visualis…
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Sari Sandra

Visualisasi serangan brute force disajikan dalam bidang two dimensional (2D) dengan bentuk parallel coordinate untuk mengkategorikan paket ISCX dan DARPA dataset. Paket data akan dibedakan dalam dua kategori yaitu paket data attack dan paket data normal berdasarkan pattern serangan brute force. Serangan brute force melakukan penyerangan pada beberapa layanan protokol seperti secure shell (SSH) …

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ISBN/ISSN
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Collation
xxi, 131 hlm. : ilus.
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Call Number
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Analisis Perbandingan Metode K-Means dan Metode Naïve Bayes untuk Visualisas…
Comment Share
Sari Sandra

Visualisasi serangan brute force disajikan dalam bidang two dimensional (2D) dengan bentuk parallel coordinate untuk mengkategorikan paket ISCX dan DARPA dataset. Paket data akan dibedakan dalam dua kategori yaitu paket data attack dan paket data normal berdasarkan pattern serangan brute force. Serangan brute force melakukan penyerangan pada beberapa layanan protokol seperti secure shell (SSH) …

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ISBN/ISSN
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Collation
xxi, 131 hlm. : ilus.
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