Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Studi Manajemen Organisasi Bulletin of Social Informatics Theory and Application
Rusdyansyah, Arief
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Optimization Supporting Facilities for Perormance Security Officers at Banyuwangi Airport Islam, Fajar; Rusdyansyah, Arief
JURNAL STUDI MANAJEMEN ORGANISASI Vol 20, No 1 (2023)
Publisher : Faculty of Economics and Business | Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsmo.v20i1.54843

Abstract

The purpose of this research is to optimize work facilities and security facilities for security officers at Banyuwangi Airport, with the hope of increasing the performance and efficiency of security officers in carrying out their duties. The research method used is a quantitative research method using questionnaires distributed to 50 security officers at Banyuwangi Airport to obtain data which is then analyzed. The results of the F test show that simultaneously or together the Work Facilities and Security Facilities have a significant effect on the Performance of Security Officers. Furthermore, the results of the t-test show that Work Facilities and Security Facilities each have a significant effect on Security Officer Performance. Therefore, it is important for airport management to pay attention to and improve Work Facilities and Security Facilities in order to improve the Performance of Security Officers at Banyuwangi Airport. The results of this study, it can be concluded that Work Facilities (X1) and Security Facilities (X2) have a significant effect on Security Officer Performance (Y) at Banyuwangi Airport. Work Facilities and Security Facilities factors affect 79% of Security Officer Performance, while 21% are influenced by other factors not examined in this study.
Implementation of facial recognition technology in the verification system for api banyuwangi cadets using the haar cascade algorithm Setiawan, Ariyono; Prasetyo, Kukuh Tri; Rusdyansyah, Arief; Ardian, Dede
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.778

Abstract

This research aims to enhance the efficiency and security of the identity verification process for cadets at API Banyuwangi through the implementation of facial recognition technology using the Haar Cascade algorithm. In this study, experimental methods and statistical analysis were used to analyze the data obtained from a series of processing stages, including RGB to grayscale conversion, image resizing, and cropping. Data were collected through facial image acquisition using a webcam and processed to train the model and test the success of the verification system. Statistical analysis shows that preprocessing techniques have a significant impact on verification success, while facial recognition methods are also relevant. However, the data are not normally distributed, indicating the need for alternative analytical approaches. Thus, this research provides valuable insights into the potential of facial recognition technology in enhancing efficiency and security in identity management at educational institutions, while also highlighting the need for further research for the development of methods and deeper understanding.
Co-Authors Ardian, Dede Islam, Fajar Prasetyo, Kukuh Tri Setiawan, Ariyono