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Eka Irawan
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Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

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Penerapan Metode Naive Bayes Dalam Menentukan Tingkat Kenyamanan Pada Rumah Sakit Terhadap Pasien Masduki Nizam Fadli; Irfan Sudahri Damanik; Eka Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

The level of security of a hospital is an important value that must be considered, because it can support a faster healing process for patients. To maintain the quality of comfort, doctors, nurses along with caricature in the hospital must always maintain the criteria determined by the hospital so that the better the value of the service. Understanding Comfort is a condition of feeling someone who feels comfortable based on the perception of each individual. Whereas comfort is a condition that has fulfilled the basic human needs of an individual nature due to several environmental conditions. In a large Indonesian dictionary, comfortable means fresh, healthy, delicious, cool, delicious. Naive Bayes is an algorithm of Data Mining where the nature of Naive Bayes itself is a classification which has two stages in the process of text classification, namely the training stage and the testing / classification stage. During the training phase, the process of analyzing the sample documents is in the form of vocabulary selection, which is a word that might appear in the collection of sample documents, as far as possible to be a representation of the document. Next is determining the prior probabilities for each category based on document samples
Penerapan Algoritma K- Medoids Dalam Mengelompokkan Tingkat Kasus Kejahatan di Setiap Provinsi Nur Arief; Irfan Sudahri Damanik; Eka Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

Drug abuse is a very serious problem and needs special attention from all parties. This is evidenced by the increasing number of drug cases and death cases due to the purchase of drugs issued from various media. The impact of drug addiction can be seen in one's physical, psychological and social. Drug abuse cases in each province in Indonesia have varying degrees of cases.This study aims to determine the cluster of drug abuse at high and low levels.The method needed for grouping drug case data is using data mining methods with the K-Medoids algorithm and using a computerized system that is rapidminer 5.3 application.The data used is sourced from the National Narcotics Agency of the Republic of Indonesia with the website: https://bnn.go.id/2015-2017 data which consists of 34 provinces to be divided into 2 clusters.From the calculation of the K-Medoids algorithm, high clusters were 10 provinces and low clusters were 24 provinces.This grouping is expected to be included for the government or related parties to further increase the socialization of the dangers of drugs in order to minimize mortality and crime due to drugs.
Co-Authors Agus Perdana Windarto Ali Akhbar Nasution Andi Sahputra Dedi Suhendro Dedi Suhendro Dedy Hartama Dinda Nabila Batubara Eka Desriani Aritonang Fitri Rizki Heru Satria Tambunan Ilham Syahputra Saragih Indah Syahputri Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata M Fauzan M Safii Masduki Nizam Fadli Mawaddah Anjelita Muhammad Ridwan Lubis Muhammad Zarlis Nazira Ayu Ananda Nila Soraya Damanik Nur Afriani Manihuruk Nur Arief Okprana, Harly Saifullah Saifullah Syahyulita Fachri Tanti Bonita