Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Telematika : Jurnal Informatika dan Teknologi Informasi INTI Nusa Mandiri Lajagoe Journal of Management and Business
Gani, Ahmad
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
PENERAPAN POLA FIBONACCI UNTUK PENGATURAN QOS (QUALITY OF SERVICE) JARINGAN Gani, Ahmad; Wibawa, Sigit; Ilyas , Fadli
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.6359

Abstract

In managing network quality of service (QoS), this research uses the Fibonacci pattern to optimize delay control and bandwidth allocation. QoS is very important in contemporary network management, especially considering the increasing demand for stable and effective data services. This study prioritizes data based on traffic levels using a Fibonacci algorithm simulation. Each priority is assigned a value corresponding to the Fibonacci sequence, which allows for resource allocation that is more in line with network load.The simulation was conducted under normal and overload conditions. The research results show that conventional methods, such as round-robin and weighted fair queuing, can improve QoS efficiency with the Fibonacci pattern by up to 15%. This improvement primarily focuses on managing important data packets such as real-time communication and video streaming, and reducing latency. Additionally, this technique is better at adapting to traffic changes.The research results show that the Fibonacci pattern can be an innovative method for managing network QoS, especially for complex priority needs. By using the Fibonacci pattern as a data priority management technique, this research helps improve network quality of service (QoS). This method is capable of improving bandwidth allocation efficiency and reducing latency by up to 15% compared to conventional approaches such as Round-Robin and Weighted Fair Queuing. The main contribution of this research is to offer a new approach based on Fibonacci patterns that can be adapted to the dynamics of network traffic.
Application of Fibonacci Pattern for Network QoS (Quality of Service) Management) gani, ahmad
Telematika Vol 22 No 2 (2025): Edisi Juni 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i2.14329

Abstract

In managing network quality of service (QoS), this study uses Fibonacci patterns to optimize delay control and bandwidth allocation. QoS is essential in contemporary network management, especially given the increasing demand for stable and effective data services. This study prioritizes data based on traffic levels using a simulated Fibonacci algorithm. Each priority is assigned a value corresponding to the Fibonacci sequence, which allows allocating resources more in line with the network load. Simulations are performed under normal and overload conditions. The results show that conventional methods, such as round-robin and weighted fair queuing, can improve QoS efficiency with Fibonacci patterns by up to 15%. This improvement mainly concentrates on controlling important data packets such as real-time communication and video streaming and reducing delay. In addition, this technique is better at adjusting to traffic changes. The results show that the Fibonacci pattern can be an innovative method for managing network QoS, especially for complex prioritization requirements. It can be a reliable tool to improve user experience with modern network services if used properly. To find out how Fibonacci patterns relate to future network technologies such as 5G and the Internet of Things, further research is needed.
THE INFLUENCE OF ORGANIZATIONAL CULTURE, QUALITY OF HUMAN RESOURCES AND JOB SATISFACTION ON EMPLOYEE PERFORMANCE OF BPJS KETENAGAKERJAAN MAKASSAR BRANCH OFFICES AND ITS RANGE OF BRANCH OFFICES Gasali, Gasali; Gani, Ahmad; H.A, Ismail
Jurnal Manajemen Dan Bisnis Vol 3 No 2 (2025): Hal
Publisher : Universitas Ichsan Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61912/lajumen.v3i2.169

Abstract

This research was conducted with the objectives of testing and analyzing the influence of organizational culture on performance; and testing and analyzing the influence of human resource quality on performance; and testing and analyzing the influence of job satisfaction on performance; and testing and analyzing the simultaneous influence of these three variables on employee performance at the Makassar Branch Office of BPJS Ketenagakerjaan and its Subordinate Branch Offices. This research used primary data with a sampling technique, namely the Total Sampling or Census method, through a survey of 90 employees working and assigned to the Makassar branch office and its subordinate branch offices. The survey was conducted from February 2026 to March 2026. Data were analyzed using SPSS 25. The results of this study indicate that Organizational Culture has a positive and significant influence on performance; and Human Resource Quality has a positive and significant influence on Performance; and Job Satisfaction has a positive and significant influence on Performance; Organizational Culture, Human Resource Quality, and Job Satisfaction simultaneously have a significant influence on Performance; of BPJS Ketenagakerjaan employees at the Makassar Branch Office and its associated branch offices. Overall, the results of this study indicate that Organizational Culture, Human Resource Quality, and Job Satisfaction are important factors contributing to improving the performance of BPJS Ketenagakerjaan employees at the Makassar Branch Office and its associated branch offices.
Co-Authors Fadli Ilyas Gasali, Gasali H.A, Ismail Sigit Wibawa