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Journal : Jurnal Teknik Informatika C.I.T. Medicom

Optimization Of Determination Against K-Means Cluster Algorithm Using Elbow Creation Melda Pita Uli Sitompul; Opim Salim Sitompul; Zakarias Situmorang
Jurnal Teknik Informatika C.I.T Medicom Vol 14 No 1 (2022): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol14.2022.176.pp1-9

Abstract

Clustering is a data mining method for grouping data that have similar or different characters in each section. One of the methods is using K-Means by measuring the distance between clusters using the shortest distance or Euclidean Distance. K-means entails weakness, which is the determination of clusters in k-means clustering, resulting in the different data grouping and affecting the results of the data cluster distribution. To overcome this issue, the elbow creation method is employed to determine the similarity level in the cluster by observing the comparison between Root Means Square and R Square to measure the homogeneity and heterogeneity of the cluster where this method is applied by considering the changes in the comparison between the RMSSTD (Root Means Square Standard Deviation) and RS (R Squared) values which have the intersection of the RMSSTD and RSquared values. The difference between RMSSTD cluster 1 and RMSSTD cluster 2 was 0.066 and RS cluster 1 and RS cluster 2 was -0.304. Based on those figures, the highest difference was found in cluster 2. All considered, tourist destinations in East Asia frequently visited or interested to visitors are grouped into cluster 2, comprising criteria 6, 7, 8, and 10, or in other words, resort destination, picnic area, beaches, and religious institutions
Co-Authors Adam Sagara Ade Clinton Sitepu Ade Clinton Sitepu Adelina, Mimi Chintya Aditia Rangga Agus Fahmi Limas Putra Alkhairi, Putrama Asrizal Asrizal Asyahri Hadi Nasyuha B. Herawan Hayadi Budi K. Hutasuhut Daim Azhari Parinduri Desi Irfan Doughlas Pardede Efendi, Syahril Ela Roza Batubara Erna Budhiarti Nababan Fazli Nugraha Tambunan Ginting, Emnita Boru Handayani, Meli Hartono Hartono Herman Mawengkang Husein, Alice Erni Ichsan Firmansyah Irwan Daniel Irwan Daniel Ita Juwita Saragih Jaka Tirta Samudra Jaka Tirta Samudra Jaka Tirta Samudra Jaka Tirta Samudra Jazi Eko Istiyanto Jinan, Abwabul Jinan, Abwabul Junaidi Junaidi Karina Andriyani Kelvin Leonardi Kohsasih Khairul Fadhli Margolang Khoirunsyah Dalimunthe Kusuma, Jaka Lestari, Valencya Lewis, Andreas Lubis, Cindy Paramitha Lusi Herlina Siagian M Anggi Rivai Nst Manungkalit, Jupri Maria Claudia Purba Masri Wahyuni Mawaddah Harahap Mawaddah Harahap, Mawaddah Melda Pita Uli Sitompul Muhadi M. Ilyas Gultom Muhammad Mizan Siregar Muhammad Zarlis Muhammad Zarlis, Muhammad Nababan, Junerdi Novendra Adisaputra Sinaga Opim Salim Sitompul P.P.P.A.N.W. Fikrul Ilmi R.H. Zer Pradipta, Muhammad Iqbal Pratiwi, Mariska Putri Puji Sari Ramadhan Purba, Andry Hery Putrama Alkhairi Raden Aris Sugianto Rahmad, Sofyan Retantyo Wardoyo Riandini, Maisarah Ridha Maya Faza Lubis Ridha Maya Faza Lubis Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly, Rika Rimbun Siringoringo, Rimbun Romanus Damanik Roslina, Roslina Rubianto Rubianto Sartika Mandasari Sembiring, Rahmat Widya Sri Hartati Sugeng Riyadi Tarigan, Dede Ardian Tulus Tulus Wanayumini Yoppi, Edunal Yuni Franciska Yusfrizal Yusfrizal Yusniar Lubis Yusniar Lubis Yusniar Lubis