K-Means Algorithm Implementation for Clustering of Patients Disease in Kajen Clinic of Pekalongan

Wardhani, Anindya Khrisna

doi:10.26623/transformatika.v14i1.387

Cited by 15 publications

(13 citation statements)

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“…Data clustering can use several methods, one of which is k-means. K-means is a grouping method that partitions data into 2 or more groups by grouping similar and similar data (Wardhani, 2016). The goal is to minimize variation within a group but maximize variation between groups (Prasetyo, 2012).…”

Section: Discussionmentioning

confidence: 99%

Clustering of Learning Media User Data During Covid-19 Pandemic Using K-Means Method Based on Multicultural Culture in Indonesia

Rusydiyah

Virgiannada

Ridwan

et al. 2021

jiecr

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Learning applied in Indonesia from elementary school to undergraduate level generally uses face-to-face or direct learning methods. However, after the Covid-19 disease outbreak, all methods change to online learning methods at all levels and cultures. This affects all aspects of learning such as comfort, understanding and learning outcomes. To find out the difference in the results using face-to-face methods and online methods, a study was carried out on classifying learning media users from elementary school to university level using the k-means method. This study aimed to determine the differences in learning outcomes between the semester before the Covid-19 pandemic and the semester during the Covid-19 pandemic which applies online learning. The results of grouping data on online learning media users showed that all levels of education were considered sufficiently ready to implement online learning. As well as cultural differences in Indonesia have not had an impact on the commitment of schools to implement online learning during the Covid-19 disease outbreak.

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Section: Discussionmentioning

confidence: 99%

Clustering of Learning Media User Data During Covid-19 Pandemic Using K-Means Method Based on Multicultural Culture in Indonesia

Rusydiyah

Virgiannada

Ridwan

et al. 2021

jiecr

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“…This model was once used to determine the nutritional status of children [9]. The K Means model has also been used to categorize acute and non-acute illnesses [10].…”

Section: Methodsmentioning

confidence: 99%

Clustering Model to Measuring Level of Game Addiction

Latubessy¹,

Nindyasari²,

Murti³

et al. 2018

Proceedings of the the 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

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World Health Organization (WHO) has issued a statement that addiction to the game is one of the mental disorders. Playing games favored by various age groups. Adults and children love to play games. Excessive game play patterns can lead to addiction to games. Actually, the rate of addiction to games can be measured. One way of measuring the level of game addiction is to classify the symptoms of this type of game addiction behavior. There are six types of game addiction behavior that have been obtained from previous research. Those symptoms can be grouped using one of the clustering methods. This study uses K-Means Clustering to categorize the rate of game addiction.

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“…Algoritma ini mampu meminimalkan jarak antara data ke cluster nya. Pada dasarnya penggunaan algoritma ini dalam proses clustering tergantung pada data yang didapatkan dan konklusi yang ingin dicapaidi akhir proses [5]. Adapun penelitian sebelumnya yang menggunakan algoritma K-Means Clustering yaitu Penerapan Clustering Pada Penduduk Yang Mempunyai Keluhan Kesehatan Dengan Datamining K-Means [6].…”

Section: Pendahuluanunclassified

Analisis Pesebaran Penularan Virus Corona di Provinsi Jawa Tengah Menggunakan Metode K-Means Clustering

Darmansah¹,

Wardani²

2021

JATISI

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Saat ini virus corona atau Covid-19 telah berkembang pesat dan telah dilaporkan hampir diseluruh dunia terpapar penuluran virus corona. Covid-19 telah merengut ribuan nyawa manusia di China hanya dalam waktu 3 bulan bahkan virus ini telah menyebar ke negara-negara lain seperti Italia, Iran, Korea Selatan, Inggris, Jepang, Amerika, Jerman, dan bahkan di Indonesia. Salah satu provinsi di Indonesia yang menjadi penularan virus corona adalah di provinsi jawa tengah (Prov. Jateng). Virus corona ini telah menyebar di berbagai kabupaten dan kota se-Jawah Tengah. Terdapat 35 kabupaten/kota di Jawa Tengah yang menjadi penularan virus corona. Untuk memudahkan pemerintah daerah Jawa Tengah dalam mengambil tindakan pencegahan penuluran virus corona maka perlunya peneliti untuk menentukan tingkat pesebaran penuluran virus corona yang di bagi menjadi tiga cluster. Cluster pertama yaitu C0 dengan kategori rendah, C1 dengan kategori sedang dan C2 dengan kategori pesebaran tinggi. Didalam analisis tingkat pesebaran penuluran virus corona ini peneliti menggunakan metode data mining dan algoritma K-Means Clustering untuk mengelompokan data pesebaran. Kemudian dalam pengolahan data peneliti menggunakan aplikasi Rapidminer Studio 7.6. Dari hasil penelitian ini didapatkan bahwa C0 terdapat 18 kota/ kabupaten, C1 terdapat 1 kota/ kabupaten dan C2 terdapat 16 kota/ kabupaten tingkat persebaran virus corona di provinsi Jawa Tengah.

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K-Means Algorithm Implementation for Clustering of Patients Disease in Kajen Clinic of Pekalongan

Cited by 15 publications

References 0 publications

Clustering of Learning Media User Data During Covid-19 Pandemic Using K-Means Method Based on Multicultural Culture in Indonesia

Clustering of Learning Media User Data During Covid-19 Pandemic Using K-Means Method Based on Multicultural Culture in Indonesia

Clustering Model to Measuring Level of Game Addiction

Analisis Pesebaran Penularan Virus Corona di Provinsi Jawa Tengah Menggunakan Metode K-Means Clustering

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