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Journal : INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi

Pengembangan Aplikasi Manajemen Rekrutmen Karyawan Menggunakan Metode Profile Matching Hery Hery; Raphael Christopher; Andree E. Widjaja; Suryasari Suryasari
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 3 No 1 (2019): Vol. 3 No. 1 Februari 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.415 KB) | DOI: 10.29407/intensif.v3i1.12588

Abstract

Human Resources (HR) is one of the important aspects in the company, because it will manage many aspects such as technology, resources, and capital, therefore the process of hiring and allocating training is important in the company. Human Resource Departement (HRD) is responsible for recruiting new employees and developing training programs to equip employees or prospective employees. The Recruitment process consist of three steps: CV gathering, psychotest work, and interview). In PT. XYZ recruitment process is done manually,Therefore an application is required that can support the decision-making process in the employee recruitment process that can analyze the appropriate training for prospective employees. Employee recruitment applications development and allocation of employee training using the System Development Life Cycle (SDLC) system development methodology. For employee training allocation system with profile matching method. The Final result from this research is an application that could support HRD in recruitment process and training allocation.
The Office Room Security System Using Face Recognition Based on Viola-Jones Algorithm and RBFN Andree E. Widjaja; Hery Hery; David Habsara Hareva
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1330.3 KB) | DOI: 10.29407/intensif.v5i1.14435

Abstract

The university as an educational institution can apply technology in the campus environment. Currently, the security system for office space that is integrated with digital data has been somewhat limited. The main problem is that office space security items are not guaranteed as there might be outsiders who can enter the office. Therefore, this study aims to develop a system using biometric (face) recognition based on Viola-Jones and Radial Basis Function Network (RBFN) algorithm to ensure office room security. Based on the results, the system developed shows that object detection can work well with an object detection rate of 80%. This system has a pretty good accuracy because the object matching success is 73% of the object detected. The final result obtained from this study is a prototype development for office security using face recognition features that are useful to improve safety and comfort for occupants of office space (due to the availability of access rights) so that not everyone can enter the office.