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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 Abda Abda Addion Nizori AFIFAH, UMI Ahmad Fauzan Aisyah Aisyah Alayda, Nilmayati Aljannah, Fathimah Qotrunnada Ananda Nasution, M. Dolly Ananda, Rusydi Andini Putri, Andini Andriansah, Zjulpi Armansyah, A Arya Rudi Nasution Aulia, Naila Selvi Azhari, Faisal Budiyanto Budiyanto Chairul Anwar Dadang Dwi Septiyan, Dadang Dwi Dalimunthe, Putri Ani Dari, Fitri Wulan Deasy Kartika Rahayu Kuncoro Delvi Liani, Dea Desi, Desi Indriyani Dewi, Citra Septia Dian Septinova Donni Siregar, Meriah Romah Eldita, Sirda Eti Hadiati Fadhilaturrahmi Fadhilaturrahmi Fauzan Azima Fauzan Sulman Fitra Surya, Yenni Gasmi, Nur Hana Pebriana, Putri Hasibuan, Abdurrozzaq Hermini Susiatiningsih Hia, Tasya Bernatha Humaryanto, Humaryanto Hutasuhut, Nurul Inayah Huzni , Syifaul Iis Aprinawati, Iis Indra Daulay, Musnar Indra Lasmana Tarigan Iskandar Abdul Samad Jelita, Lusiana Kasturi, Rima Khaira Nova Khotimah, Husna Kimberly Febrina Kodrat Kusuma, Yanti Yandri Lase, Syarif Hidayat Lia Yuliati, Lia Lubis , ‪Riadini Wanty Madyawati Latief Maharani3, Wasima Agita Mardianti, Alaina Marisa, Vera Megiati, Yunita Endra Mhd Furqan Mufarizuddin Muhammad Nur Aidi Mursyid Djawas Nadiroh Napid, Suhardi Nasrul Nilawati Tadjuddin Nurhaswinda Nurhaswinda Pakpahan5, Rosinta Pasaribu, Ahmad Hamdani Patak, Andi Anto Prima Wahyu Titisari Purnama, Boby Yasman Putra, Arvindra Zaldi Putri Hana Pebriana Rahma Sari, Afriza Rahmadani, Dina Nuzila RAKASIWI, RANI Rani, Afriza Rahma Reyza Arief Taqwa, Muhammad Ria Pasaribu, Tio Ritonga, Dedi Prima Riza, Muhammad Syahrul Rizki Amalia Samidah Samosir, Nus Dencoco Seow, Eng Keng Sephia Ningsih, Tari Serasi Ginting, Budi Sinaga, Anastasia Siti Aisyah Siti Sarah Fitriani, Siti Sarah Sovia Mas Ayu Subuea, Siti Rahmah Suhela Putri Nasution Sumianto Sumianto Syahara, Usnaini Syahrio Tantalo Syahrul Rizal, Muhammad Syaiful Anwar Syamsul Rizal Tanjung, Iqbal Theresia Amelia Pawitra Utami, Wahyu Kartiko Vira, Alma Wasehudin, Wasehudin Wazzan, Huda Yana Cahyana Yandri Kusuma, Yanti Yulianingsih Yulianingsih