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All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Computer Science (CO-SCIENCE) Informatics and Computer Engineering Journal
Sunanto Sunanto
Univerisitas Bina Sarana Informatika
Computer Science & IT Engineering

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Journal : Informatics and Computer Engineering Journal

 1 
SISTEM INFORMASI PSIKOTES ONLINE PADA PERUSAHAAN XYZ Vadlya Maarif Vadlya; Hidayat Muhammad Nur; Mustofa Mustofa; Ahmad Nouvel; Sunanto Sunanto
Informatics and Computer Engineering Journal Vol 3 No 1 (2023): Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v3i1.1740

Abstract

Companies that are engaged in the Control Process Instrumentation sector which requires HR (Human Resources) competent in their respective fields with the Recruitment section of the Human Resources Division to recruit qualified candidates in accordance with the criteria determined by the Prospective Employee Division. will work later. Each individual certainly has a different character and personality and each part of the company requires employees who have character according to work assignments. Therefore, companies need to conduct psychological tests to obtain data related to information on a prospective employee in the context of work. Currently, testing is done manually, which is very inefficient and time-consuming. Using CBT (Computer Base Test) is certainly a good solution because with computerization, starting from the test process to analyzing test data, it is easier and more effective to do. By answering questions online, of course there is no distance limit, prospective employees who want to practice without having to come directly to the head office are located. Also, the process that previously used the sheet method was difficult in storing archives, by using computerization all recorded data from each prospective employee could be centralized and easier to manage.
Penerapan Linear Sampling Dalam Komparasi Decision Tree Dan Deep Learning Pada Pelajar Pecandu Narkoba saifudin; Sunanto Sunanto
Informatics and Computer Engineering Journal Vol 4 No 2 (2024): Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v4i2.4671

Abstract

Drug addicts based on a report from the National Narcotics Agency (BNN) in Indonesia are more than 7 million people in the age range of 15-64 years. The number of students who become drug addicts is increasing every year, this phenomenon is very worrying because students are the next generation of the nation who are expected to become leaders in the future. In school areas, the pressure to excel and be accepted by peer groups often urges students to seek escape through the use of prohibited substances. Not only that, the lack of parental supervision and low understanding of the dangers of drugs also contribute to the increase in this addiction problem. This study compares the decision tree and deep learning methods to find the highest accuracy value between the two methods, while sampling is done using linear sampling. The highest accuracy value is in the decision tree method with an accuracy value of 69.50%, 100% precision and 0% recall.
Co-Authors Achmad Novel Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Nouvel - AMIK BSI Purwokerto Chandra Kesuma Fabriyan Fandi Dwi Imaniawan Hidayat Muhammad Nur Ina Maryani Ina Maryani Mustofa Mustofa Okta Revianti Pradita Fadlurohman Saifudin Suripah . Vadlya Maarif Vadlya Ma’arif