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Ajay, Muhammad
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Classification for Determining the Level of Drugs Dependence Using the Naïve Bayes Classifier Puspitasari, Novianti; Ajay, Muhammad; Wati, Masna; Septiarini, Anindita
IT Journal Research and Development Vol. 9 No. 1 (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2024.16319

Abstract

Drug users or abusers are people who use narcotics or psychotropic drugs without supervision or medical indication from a doctor. Before undergoing rehabilitation, drug users must first undergo an examination to determine their level of drug dependence so that they can receive medical treatment according to their level of drug dependence. Determining the level of drug dependence requires a technique that can provide labels or categories of data for drug users based on the user's condition or influential criteria. This study applies the Naïve Bayes Classifier method to a system to determine the level of drug dependence. This study uses medical record data from 220 drug users. The user's medical record data is processed using data mining stages consisting of data selection, data cleaning, data transformation, and division of training and test data to produce 120 training data and 100 test data. The results of the Naive Bayes Classifier method calculation resulted in 29 users having a trial level of dependence (mild), 42 identified as having a regular level of dependence (moderate), and 29 others as users with a severe level of dependence. The confusion matrix testing was very accurate, namely, 94% accuracy, 95% precision value, and 92% recall. Meanwhile, the system that has been built can run very well. Based on the results of the research that has been conducted, this research can contribute to determining the level of dependence of drug addicts objectively so that related parties can provide rehabilitation or appropriate treatment to drug addicts.
Bagaimana Merancang dan Membangun Sistem Menggunakan Mikrokontroler Arduino Uno Ajay, Muhammad; Baijuri, Ahmad; Santoso, Firman
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 4 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i4.6980

Abstract

Smart home atau rumah cerdas telah mengalami perkembangan pesat pada pengaplikasiannya. Rumah cerdas merupakan suatu sistem yang memungkinkan pengguna untuk terus memantau dan mengendalikan keadaan rumah secara cepat dan tersentralisir. Salah satu fitur rumah cerdas adalah pemantauan dan pengendalian pintu rumah yang pada penelitian ini disebut door lock system. Salah satu piranti yang dapat digunakan dalam pemantauan door lock system adalah android. Luasnya penggunaan dan hampir dimiliki oleh semua orang, membuat android menjadi pilihan utama dalam setiap pengembangan yang memerlukan mobilitas yang tinggi. Door lock system yang telah terkoneksi ke internet dapat dihubungkan dengan android pengguna dimanapun dan kapanpun selama adanya jaringan internet. Jaringan internet yang berperan sebagai penjembatan, memiliki database sebagai media penyimpanan datanya. Mikrokontroler ATMega 16 yang menggunakan relay serta metode kontrol on-off dalam penutupan maupun pengunciannya, sehingga mampu memberikan respon waktu yang cepat dalam pengendaliannya. Berdasarkan hasil pengujian, pengendalian melalui android ke mikrokontroler memerlukan waktu rata-rata 1 detik dan pengiriman kondisi pintu dari mikrokontroler ke android memerlukan waktu rata-rata 1 detik.
Co-Authors Anindita Septiarini, Anindita Baijuri, Ahmad Puspitasari, Novianti Santoso, Firman Wati, Masna