Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah KOMPUTASI Teknikom: Teknologi Informasi, Ilmu Komputer dan Manajemen Science Information System and Technology
Riana Safitri
STMIK Widya Utama
Computer Science & IT Economics, Econometrics & Finance Mathematics

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Peningkatan Teknologi Load Balance Metode PCC Dengan Custom Chain untuk Kestabilan Akses Internet dengan Banyak Pengguna: Array Joko Purnomo; Sunaryono; Riana Safitri
Jurnal Ilmiah Komputasi Vol. 21 No. 3 (2022): Jurnal Ilmiah Komputasi : Vol. 21 No 3, September 2022
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.21.3.2922

Abstract

Layanan internet di lingkungan kampus atau sekolah dengan banyak pengguna tentu membutuhkan bandwidth yang besar, sebagai contoh ada 100 mahasiswa 50 orang melakukan penjelahan ringan dengan kebutuhan bandwidth masing-masing sekitar 2 Mbps, 25 mahasiswa melakukan streaming HD dengan kebutuhan data masing-masing 5 Mbps dan 25 lainnya melakukan download dan upload yang perkiraan masing-masing 3 Mbps, dari 100 orang tersebut jika dilakukan dalam waktu yang bersamaan akan membutuhkan bandwidth sekitar 300 Mbps. Di Indonesia layanan ISP secara umum hanya menyediakan bandwidth 100 Mbps itu pun dengan harga yang sudah cukup mahal. Akibatnya traffic 300 Mbps tersebut jika hanya dilayani oleh 1 ISP akan menyebabkan delay transmisi data. Proses delay transmisi data akan semakin tinggi apabila pengguna bertambah atau paket internet dari ISP lebih rendah. Penelitian ini memaparkan konsep penggunaan akses internet yang murah dengan menggunakan teknologi 2 ISP atau lebih dengan memakai paket internet yang murah namun dapat melayani banyak pengguna. Metode yang digunakan dalam penelitian ini adalah peningkatan load balancing dengan jenis Per Connection Classifier (PCC) klasik atau umum dengan custom chain sesuai kebutuhan bandwidth dan pemakaian pengguna, semua traffic internet akan ditandai dan diatur sesuai penggunaan dan ketersediaan bandwidth saat itu serta pemilihan jalur ISP yang variatif berdasarkan tingkat kepadatan traffic internet dari ISP tujuan dengan melihat profil dari masing-masing pengguna. Perangkat yang digunakan adalah routerboard dengan sistem operasi mikrotik.
Algoritma K-Means Dengan Menggunakan Metode Pengukuran Jarak dan Densitas Untuk Peningkatan Strategi Promosi Penerimaan Mahasiswa Baru (PMB) riana safitri
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 3 No 2 (2019): Teknikom Vol. 3 No. 2 Tahun 2019
Publisher : LPPM STMIK Widya Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.601 KB)

Abstract

In a company the activity of promoting a product or service is the most needed aspect to support success, so promotion is one way for companies or organizations to develop, maintain, and advance the business that is being managed. In order for the promotion to be carried out in accordance with the expected target, it is necessary to establish market segmentation in which there are many targeted targets, because the targeted target is very dispersed and scattered and varied in the demands of their needs and desires. Data mining is an activity in the database process to find certain previously unknown / hidden patterns that are useful and meaningful and can be processed. One algorithm that can be used for clustering is the k-means algorithm. In order to maximize the k-means algorithm, we use distance and density measurement methods. Grouping data using k-means is done by calculating the closest distance from a data to a centroid point. In this study, the method of calculating the distance on k-means between Euclidean and density will be combined. The test will be carried out using the execution time and the bouldin index davies. From the tests that have been done, the calculation of eulidean distance and density has the most efficient accumulation of time and the value of Davies Index.
ANALISIS PENGARUH KEMANFAATAN APLIKASI PENGENALAN JENIS DAN ARTI RAMBU LALU LINTAS DENGAN TEKNOLOGI AUGMENTED REALITY BERBASIS ANDROID Riana Safitri
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 4 No 1 (2020): Teknikom Vol. 4 No. 1 Tahun 2020
Publisher : LPPM STMIK Widya Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.262 KB)

Abstract

Abstract - Abstract - The research "Application Analysis of the Effect of Recognizing the Type and Meaning of Traffic Signs Using Android-Based Augmented Reality Technology" is a study that focuses on the effect of applying the introduction of the types and meanings of traffic signs to see the perception of end users (end users). This perception is described by the relationship between the influence of the application or the understanding of the community. The method used in this study is a quantitative method to measure the relationship or influence after the application with the level of application user satisfaction. To analyze user satisfaction, the application was tested by using an analysis with the correlation product moment formula. Furthermore, it is calculated by t-test. Meanwhile, to see the relationship/effect of user satisfaction in this study, the reliability test using the Alpha Questionnaire method is said to be reliable if it has an alpha coefficient value greater than 0.6. Decision by comparing r11 with rtabe. From this research, it is known that the application has the most influence on the application of the application of the introduction of the type and meaning of traffic signs. While the most influential in testing the hypothesis using Chi Square and for the level of correlation using the Contingency Coefficient C
Estimasi Parameter Model Fungsi Gaji Berdasarkan Masa Kerja Menggunakan Algoritma Levenberg-Marquardt pada Program Matlab Atika Ratna Dewi; Sulistiyasni Sulistiyasni; Dewi Erla Mahmudah; Riana Safitri
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 2 No 1 (2018): Teknikom Vol. 2 No. 1 Tahun 2018
Publisher : LPPM STMIK Widya Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.075 KB)

Abstract

The calculation of pension funding programneeds an assumption which can be used to predict theamount of salary when somebody is retired. This iscommonly called salary function. A salary function wasinfluenced by some factors such as inflation and merit. Thisstudy discussed the declining of salary function model basedon exponential function. The salary function model wasbased on years of service (service-based model). This modelhad been estimated using Levenberg Marquardt method onMATLAB program. After that, the model had been used tocalculate the amount of salary on pension funding program.
Evaluation of the Impact of Risk Management and Information Security on Cybersecurity Maturity of the Institute ABC Data Management Application Riana Safitri; Darjat Darjat
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.802

Abstract

In the contemporary digital landscape, organizations face an escalating array of cyber threats that imperil the security and confidentiality of their data assets. This quantitative study investigates the impact of risk management strategies and information security measures on the cyber security maturity of ABC Institute's data management application. Survey data were collected from 122 employees directly engaged in data management and security roles within the institute, and Structural Equation Modeling (SEM) with Partial Least Squares (PLS) was employed for data analysis. The findings reveal significant positive associations between risk management practices, information security measures, and cyber security maturity. These results emphasize the crucial role of comprehensive risk management strategies and robust information security measures in bolstering cyber resilience. Practical recommendations stemming from this study provide actionable insights for organizations aiming to fortify their cyber security posture.
Co-Authors Atika Ratna Dewi Darjat Darjat Dewi Erla Mahmudah Joko Purnomo Sulistiyasni . Sunaryono