Analysis of the K-Means Algorithm on Clean Water Customers Based on the Province

Windarto, Agus Perdana; Siregar, Muhammad Noor Hasan; Suharso, Wildan; Fachri, Barany; Supriyatna, Adi; Carolina, Irmawati; Efendi, Yoyon; Toresa, Dafwen

doi:10.1088/1742-6596/1255/1/012001

Cited by 34 publications

(9 citation statements)

References 2 publications

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“…Data mining merupakan salah satu cabang artificial intelligence yang bekerja dengan cara mencari pola atau informasi menarik dengan menguraikan penemuan pengetahuan di dalam database dengan menggunakan teknik tertentu [1]- [4]. Ada banyak teknik yang terkenal dalam data mining diantaranya klastering, klasifikasi, estimasi, assosiasi dan peramalan [5].…”

Section: Pendahuluanunclassified

Bagian 1: Kombinasi Metode Klastering dan Klasifikasi (Kasus Pandemi Covid-19 di Indonesia)

Windarto

Indriani²,

Raharjo

et al. 2020

mib

Self Cite

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The purpose of this research is to combine the classification and classification methods that are part of data mining. The case raised was the number of the spread of the Covid-19 pandemic in Indonesia as of July 7, 2020 with 34 records. Data sources were obtained from Ministry of Health Data, sampled and processed from covid19.go.id and bnpb.go.id. The variables used in the study are the number of positive cases (x1), number of cases cured (x2) and number of deaths (x3) by province. The classification and classification methods used are k-medoids and C4.5. The k-medoids method works to map clusters of regions in Indonesia by province. The mapping labels used are 3 clusters: high cluster (C1 = red zone), alert cluster (C2 = yellow zone), low cluster (C3 = green zone). The results of the mapping are continued using the C4.5 method to see the rules in the form of a decision tree. The analysis process is assisted with the RapidMiner software. Determination of the number of clusters (k) is determined by using the Davies Bouldin Index (DBI) parameter to optimize the cluster results obtained. For k = 3 has an optimal value of 0.740. The mapping results obtained 9 provinces are in the high cluster (C1 = red zone), 3 provinces are in the alert cluster (C2 = yellow zone) and 22 provinces are in the low cluster (C3 = green zone). The value obtained from the decision tree for cluster height (C1 = red zone) based on C4.5 is if the number of positive cases is smaller than 9524 and greater than 4329 (4329> x1 <9524). The nine provinces included in the high cluster (C1 = red zone) are Aceh, Bali, DKI Jakarta, West Java, Central Java, East Java, South Kalimantan, South Sumatra and South Sulawesi. The results of the combination of these methods can be applied and provide knowledge in the form of new information about mapping in the form of clusters to the distribution of the Covid-19 pandemic in Indonesia

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Section: Pendahuluanunclassified

Bagian 1: Kombinasi Metode Klastering dan Klasifikasi (Kasus Pandemi Covid-19 di Indonesia)

Windarto

Indriani²,

Raharjo

et al. 2020

mib

Self Cite

View full text Add to dashboard Cite

show abstract

“…Data tersebut apabila digali dengan tepat maka dapat diketahui pola atau pengetahuan untuk mengambil keputusan. Serangkaian proses mendapatkan pengetahuan atau pola dari kumpulan data disebut dengan Data Mining [1]- [4].…”

Section: Pendahuluanunclassified

“…Data Mining adalah proses yang menggunakan teknik statistik, matematika, kecerdasan buatan, machine learning untuk mengekstraksi dan mengidentifikasi informasi yang bermanfaat dan pengetahuan yang terkait dari berbagai database besar. Data mining biasa juga dikenal nama lain seperti : Knowledge discovery (mining) in databases (KDD), ekstraksi pengetahuan (knowledge extraction) Analisa data/pola dan kecerdasan bisnis (business intelligence) [4].…”

Section: Data Miningunclassified

Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

Hafizan

Putri

2020

KESATRIA

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One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.

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“…Setiap algoritma DES juga mengenkripsikan dengan jumlah ukuran 64 bit plainteks menjadi 64 bit cipherteks menggunakan 56 bit kunci internal (internal key) atau dengan up-kunci (sub key). Kunci internal yang pada awalnya juga dibangkitkan dari kunci eksternal yang ukuran panjangnya menjadi 64 bit [3].…”

Section: Algoritma Desunclassified

Pengamanan Data Teks Menggunakan Algoritma DES Berbasis Android

Fachri

Sembiring

2020

mib

Self Cite

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Android smartphone is certainly no stranger to the public and of course has spread widely to the world. Android smartphone has many applications in it and also has the function of each of these applications. One application that is commonly used is sending SMS, which functions as sending and receiving data quickly. SMS is a text message that at the time of sending has been limited and set its size, the size limit is 160 characters per SMS. But every use and use of SMS is certainly subject to shipping fees that have been determined from the operator. With this, security is one of the most important aspects to maintain the confidentiality and authenticity of the SMS messages so that they avoid being tapped, stolen or irresponsible. So it is very necessary to apply security in this SMS application that uses cryptographic DES (Data Encryption Standard) algorithm so that messages sent to their destinations can be kept confidential and authentic

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Analysis of the K-Means Algorithm on Clean Water Customers Based on the Province

Cited by 34 publications

References 2 publications

Bagian 1: Kombinasi Metode Klastering dan Klasifikasi (Kasus Pandemi Covid-19 di Indonesia)

Bagian 1: Kombinasi Metode Klastering dan Klasifikasi (Kasus Pandemi Covid-19 di Indonesia)

Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

Pengamanan Data Teks Menggunakan Algoritma DES Berbasis Android

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