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Journal : Journal of Information Systems and Technology Research

Data Mining Grouping Of Drug Users By Age Using Clustering Method (Case Study: BNN Binjai City) Ananda, Rizki; Serasi Ginting, Budi; Ria Pasaribu, Tio
Journal of Information Systems and Technology Research Vol. 1 No. 2 (2022): May 2022
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (847.842 KB) | DOI: 10.55537/jistr.v1i2.139

Abstract

Drug trafficking and abuse is a very complex problem, which requires efforts to overcome it. Given that there are still many obstacles in the process of grouping drug users at the Binjai City BNN Office, for this reason the author tries to create a system to support a computerized grouping process that can help automatically classify drug users based on age, so there is an opportunity to design a grouping data mining system in it. Data mining is part of a computer-based information system that employs one or more computer learning techniques to analyze and extract knowledge automatically that is used to support grouping within an organization or a company. Clustering is a method that is applied to create a grouping data mining system to make it easier for staff to classify drug users based on age. Based on the analysis that has been done on grouping drug user data using the clustering, it is necessary to do the cluster several times to get the same results according to the first process. In this process, the process is carried out 10 times to obtain cluster. In cluster 1 which is 3 9 4,  cluster 2 is 3 1 4, cluster 3 is 3 5 4 with the number of members of cluster 1 as much as 322 data, cluster 2 as much as 81 data and cluster 3 as much as 97 data.
Co-Authors AFIFAH, UMI Ahmad Fauzan Aljannah, Fathimah Qotrunnada Amelia, Rosa Ananda Nasution, M. Dolly Ananda, Rusydi Andriansah, Zjulpi Armansyah, A Arya Rudi Nasution Aulia, Naila Selvi Ayuni, Lia Rista Azzikra, Rahma Cahyati, Ledy Chairul Anwar Dadang Dwi Septiyan, Dadang Dwi Dalimunthe, Putri Ani Dari, Fitri Wulan Deasy Kartika Rahayu Kuncoro Dian Septinova Donni Siregar, Meriah Romah Eka Yuliani, Chania Eldita, Sirda Eti Hadiati Fadhilaturrahmi Fadhilaturrahmi Febriana, Putri Hana Gasmi, Nur Hasfarina, Fitri Hasibuan, Abdurrozzaq Hermini Susiatiningsih Hia, Tasya Bernatha Hutasuhut, Nurul Inayah Huzni , Syifaul Iis Aprinawati, Iis Indah Oktafiyanti, Trisna Iskandar Abdul Samad Kasturi, Rima Khaira Nova Kimberly Febrina Kodrat Kisvanolla, Anugerah Lase, Syarif Hidayat Lubis , ‪Riadini Wanty Maharani3, Wasima Agita Marisa, Vera Mayura, Vini Mhd Furqan Misnati, Kesi Mufarizuddin Muhammad Nur Aidi Nadiroh Nilawati Tadjuddin Nurhayati Nurul Murtadho Pakpahan5, Rosinta Pasaribu, Ahmad Hamdani Patak, Andi Anto Putri, Resti Amanda Rahmadhansyah, Adrian Rahmadiah, Putri Ria Pasaribu, Tio Ritonga, Dedi Prima Rizal, Muhammad Syahrul Samosir, Nus Dencoco Serasi Ginting, Budi Sinaga, Anastasia Siti Sarah Fitriani, Siti Sarah Sovia Mas Ayu Subuea, Siti Rahmah Sumianto Sumianto Surya, Yeni Fitra Syahara, Usnaini Syahrio Tantalo Syaiful Anwar Syamsul Rizal Tanjung, Iqbal Theresia Amelia Pawitra Wasehudin, Wasehudin Widiasih, Wiwik Yenni Fitra Surya Yusnira Yusuf Hanafi Zhafira, Nabila