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All Journal Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Building of Informatics, Technology and Science Dinasti International Journal of Education Management and Social Science Jurnal Teknologi Dan Sistem Informasi Bisnis Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Journal of Computer System and Informatics (JoSYC) Jurnal Teknik Informatika (JUTIF) Instal : Jurnal Komputer International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Sistem Informasi dan Bisnis Cerdas Ekasakti Pareso Jurnal Akuntansi SmartComp Intechno Journal : Information Technology Journal
Pratama, Irfan
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : Journal of Computer System and Informatics (JoSYC)

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Klastering Kecepatan Internet Operator Telkomsel Berdasarkan Sebaran Site BTS (Base Transceiver Station) Menggunakan Metode DBSCAN Alifudin, Arif; Pratama, Irfan
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.5984

Abstract

The development of cellular telecommunications technology has now reached a more advanced stage with the presence of 4G LTE technology. Compared to previous technologies such as 3G and 2G, this technology offers data transfer capabilities with much better access speeds. This makes 4G LTE the backbone for modern communication services that support users' needs for fast and stable internet access. However, even though 4G LTE technology has been widely implemented, there are still challenges that need to be overcome to ensure network quality remains optimal. The quality of the internet network in the Special Region of Yogyakarta (DIY) has experienced significant improvements in recent years, but obstacles such as limited infrastructure are still felt, especially in rural and outermost areas. This research aims to analyze and group areas based on network quality. Therefore, data mining analysis of existing data is needed using the DBSCAN algorithm so that clusters will be formed which are divided according to network quality. After carrying out analysis using the epsilon value = 0.5 and the minpts value = 5, the clusters formed were 5 clusters with a silhouette value of 0.216471397367446, which indicates that the quality of the clustering is relatively low, which is possibly caused by less than optimal distribution of data or parameters. Nevertheless, the clustering results obtained still provide useful insights for analyzing site distribution and network performance.
Co-Authors Ade Kurnia, Dian Akbar, Muhammad Rizky Mawandhyka Albert Yakobus Chandra Alifudin, Arif Andre Bustari Asanah, Nurul Ayuningsih, Ekatri Dadang Sudrajat Dwi Krisbiantoro, Dwi Edi Wibowo Guno Wibowo, M Ioni Abdurrahman Hubu, Muhammad Rizki Iqbal, Sayid Muhammad Kurniawan, Akbar Sidiq Kurniawan, Muhammad Rifki Manurung, Syalom Kristian Odi Nurdiawan Prasetyaningrum, Putri Taqwa Prayuda, Arya Priatama, Candra Rina Asmeri, Rina Sarmini Sarmini Suria, Ozzi Swapurba, Gangsar Taqwa Prasetyaningrun, Putri Uswatun Hasanah Waluyo, Retno Widianti, Anisa