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All Journal Jurnal Minfo Polgan (JMP) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Pengabdian Pancasila (JPP) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal of Computer Science and Research Jurnal Informatika: Jurnal Pengembangan IT KETIK : Jurnal Informatika International Journal of Information System and Innovative Technology Jurnal Mahkota Informatika
Pasaribu, Sutrisno Arianto
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Mathematics Social Sciences Other

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Journal : Journal of Computer Science and Research

 1 
Analysis and design of intelligence test applications (psychotest) for job applications Pasaribu, Sutrisno Arianto; Pasaribu, Victor Patar; Hirzi , M Fakrul; Arahman, Hamzah; Halawa , Jerisekiawan
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 3 (2023): July: Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65126/jocosir.v1i3.24

Abstract

In this era of globalization, increasingly fierce competition in the world of work encourages companies to choose employees who not only have high academic qualifications, but also intelligence that matches job demands. Therefore, this research aims to develop and analyze the application of Intelligence Tests (Psychotest) as an effective job application assessment tool. System analysis and design methods are used to design applications that can measure various aspects of intelligence, including verbal, numerical and spatial intelligence. The analysis stage involves an in-depth understanding of the company's needs in assessing applicant intelligence. Meanwhile, the design stage includes the design of an intuitive user interface, an efficient database structure, and a valid and reliable intelligence measurement algorithm. This application is designed to be accessed online so that applicants can take intelligence tests anytime and anywhere. By using the latest security technology, applicant data security is guaranteed during the testing process. In addition, this application will provide test results automatically and present reports that are clear and easy to understand for companies. Through the application of the Test Intelligence application, it is hoped that companies can identify prospective employees who not only have technical qualifications, but also intelligence that matches the characteristics of the job being offered. Thus, this application is expected to make a positive contribution in increasing the efficiency and effectiveness of the recruitment process, ensuring appropriate employee selection, and ultimately improving company performance and productivity.
Performance sensor analysis of HC-SR04 proximity sensor on distance measuring device with fuzzy logic method Hirzii, M. Fakhrul; Pasaribu, Sutrisno Arianto; Sabila, Puji Chairu; Parlindungan, Mhd. Reivan
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 3 (2023): July: Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65126/jocosir.v1i3.25

Abstract

The HC-Sr04 ultrasonic sensor (proximity sensor) is a widely used ultrasonic sensor, in addition to its affordable price also because of its easy use and easy installation. Ultrasonic sensors are electronic devices whose ability can convert from electrical energy into mechanical energy in the form of ultrasonic sound waves. HC-SR04 sensor is one of the ultrasonic sensors that is often used to monitor the distance of objects (objects) with sensors. This sensor consists of a series of ultrasonic transmitters called transmitters and ultrasonic receivers called receivers. The distance that can be handled ranges from 2 cm to 400 cm, with a precision level of 0.3 cm. The detection angle that can be handled is no more than 15°. The required current is not more than 2mA and the required voltage is +5V. The number of pins is 4. In this study, the authors used the fuzzy logic method to help classify the level of distance received by the sensor. Fuzzy logic is used because this method is able to determine the classification results of the received values, according to what is needed by the distance measuring device with this ultrasonic sensor.
Co-Authors AA Sudharmawan, AA Ananda, Shela Arahman, Hamzah Bu'ulolo, Efori Daulay, Budi Hasian Fadya Larasati Frainskoy Rio Naibaho Halawa , Jerisekiawan Halawa, Dedi Dermawan Halawa, Jerisekiawan Hasibuan, Nisma Novita Hirzi , M Fakrul Hirzi, M Fakhurl Hirzii, M. Fakhrul Marpaung, Preddy Miftahul Jannah MIFTAHUL JANNAH Nababan, Junerdi Nasib Marbun Nidya Banuari Parlindungan, Mhd. Reivan Pasaribu, Victor Patar Purba, Bister Reivan, M Riansyah, Muhammad Rozi, Ahmad Rozy, Ahmad Sabila, Puji Chairu Sari, Suci Amalia Sati, Fadya Lara Sibarani, Alexander J.P. Sibarani, Alexander.J.P Simamora, Purwanto Siregar, Niki Yulia Sari Suci Amalia Sari Theodora, Eka Martyna Vera Wijaya Wijaya, Vera