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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Ilmiah Ekonomi dan Manajemen
Rizka Dwi Saputri
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Manajemen Bandwidth Menggunakan Queue Tree Untuk Aplikasi Youtube Rizka Dwi Saputri; Rahyul Amri; Noveri Lysbetti Marpaung
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 2 Juli s/d Desember 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Youtube is an application for sharing videos that users can access for free. In the results of a survey that has been carrying out for many users who use Youtube, they experience buffering due to the slow internet network. Therefore, bandwidth management is needed that aims to manage and control customer bandwidth so that bandwidth usage can be evenly distributed by using the Queue Tree Method on Mikrotik. The Queue Tree method is a method that can divide bandwidth by marking the service from the package used by the customer. This research was conducted for five days by comparing the existing conditions and conditions using the Queue Tree Method based on testing one of the Quality Of Service (QoS) parameters such as Delay. The results of the study concluded that the analysis carried out on the QoS Parameters for the Youtube in Existing Conditions obtained a considerable Delay value in the Afternoon time of 524,87 ms, including the Bad Category and the Delay value obtained in Queue Tree Conditions of 11,83 ms included in the Very Good Category. In this case, using the Queue Tree Method, the network quality is better than the existing network conditions because of the bandwidth usage that is distributed evenly to each customer.Keywords: Youtube, Bandwidth Management, Queue Tree, Quality of Service.
Pengaruh Beban Kerja Dan Lingkungan Kerja Fisik Pelayanan Internet Terhadap Kinerja Karyawan Pada PT. Gonet Teknologi Indonesia Rizka Dwi Saputri; Henni Marlinah
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 4 No. 2 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v4i2.8899

Abstract

This study aims to determine the effect of Workload (X1) and Physical Work Environment (X2) on Employee Performance at PT. Gonet Teknologi Indonesia. The method used in this study is a quantitative method. The population in this study amounted to 50 employees, with a sampling technique using saturated samples so that the entire population became respondents with data collection through observation and questionnaires totaling 50 respondents. The results of the study partially show that the workload variable (X1) on Employee Performance (Y) has a regression equation Y = 6.882 + 1.372 X1 with a correlation coefficient of 0.662 indicating a strong relationship with a determination coefficient of 43.90%. Hypothesis testing shows t count> t table (2.804> 2.010), so H0 is rejected and H1 is accepted, meaning there is a significant influence between workload on Employee Performance. Other partial results show that the Physical Work Environment (X2) on Employee Performance (Y) has a regression equation Y = 11.744 + 0.660 X2 with a correlation coefficient of 0.676 which indicates a strong relationship, with a determination coefficient of 45.70%. The hypothesis test shows that t count> t table (3.119> 2.010), so H0 is rejected and H2 is accepted, meaning there is a significant influence between the Physical Work Environment on Employee Performance. Simultaneously, the workload variable (X1) and the Physical Work Environment (X2) on Employee Performance (Y) show the results of the regression equation Y = 4.693 + 0.783 X1+ 0.411 X2 with a correlation coefficient of 0.731 which indicates a strong relationship with a determination coefficient of 53.50%, while 50.1% is influenced by other factors. The hypothesis test shows that the calculated F value> F table (27.021> 3.20), so H0 is rejected and H3 is accepted. This means that there is a significant simultaneous influence between workload and the Physical Work Environment on Employee Performance at PT. Gonet Teknologi Indonesia
Co-Authors Henni Marlinah Noveri Lysbetti M Rahyul Amri