Claim Missing Document
Check
Articles

Found 3 Documents
Search

Storage of Text Messages on e-Book Files using Least Significant Bit and Haar Wavelet Method Muhaimin Hasanudin; Deni Kuswoyo; Boy Yuliadi
Aceh International Journal of Science and Technology Vol 10, No 3 (2021): December 2021
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.979 KB) | DOI: 10.13170/aijst.10.3.21079

Abstract

This study uses the technique of incognito data and information into a container in the form of images combined with the addition of the password by using the method of Least Significant Bit (LSB) and the method of Haar Wavelet. Testing the system by sending a message in the form of a text file and an image file with the process of the original image are transformed to wear haar wavelet divided into four zones of frequency, namely LL, LH, HL and HH. Where Bit-bit Readings are planted in a zone LL and attempted insertion of the bit of the file reading into the last bit in each byte of the image file as well as can show you back the results of the message. The results of the research, i.e. images that have been processed by the method of LSB and Haar Wavelet does not change the file size, resolution, dpi and physical form image. The advantage of this method is very simple computing, oriented computers, which need less space to store and time efficient.
ANALISIS QOS DENGAN STANDARISASI TIPHON PADA LAYANAN TRIPLE PLAY MENGGUNAKAN GPON DI PT XYZ) Aldiansyah; Boy Yuliadi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6256

Abstract

This research aims to assess the Quality of Service (QoS) in Triple Play services utilizing Gigabit Passive Optical Network (GPON) technology at PT XYZ. The research focuses on implementing the TIPHON standard (Telecommunications and Internet Protocol Harmonization Over Networks) as a framework for evaluating service quality. The research methodology involves a survey of QoS parameters, including download speed, upload speed, and voice call quality. Additionally, the study includes an evaluation of GPON network performance based on the TIPHON standard. The results indicate that the implementation of the TIPHON standard enhances QoS in Triple Play services through GPON infrastructure at PT XYZ, with a significant improvement in QoS parameters. The analysis of GPON network performance, considering the TIPHON standard, aids in identifying areas for improvement to enhance efficiency and service quality.
Optimasi Pengambilan Keputusan Akademik Perguruan Tinggi Menggunakan Visualisasi Data dan Analisis Performa dengan Implementasi Dashboard Grafana Giri Purnama; Boy Yuliadi; Rani Laple Satria Putra; Asep Supriyadi; Muhammad Julius Saputra
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7185

Abstract

This research aims to improve the efficiency of academic decision-making at Dian Nusantara University by applying data visualization technology using Grafana. Although the Academic Information System (SISKA) has facilitated data collection related to students, lecturers, and the Teaching and Learning Process (TLP), the utilization of these data for analysis and evaluation is still not optimal. The main challenge lies in processing the data comprehensively to produce relevant information for academic decision-making. This research was conducted through several stages, from identifying specific academic data needs through discussions with stakeholders, access and extraction of data from the SISKA database, and data integration into Grafana. Furthermore, the collected data is analyzed and visualized using an interactive dashboard that displays trends, patterns, and anomalies related to student and lecturer performance. The results showed that using Grafana could facilitate understanding of academic data, enabling faster, more precise, and data-based decision-making. Clear and intuitive visualizations also help the university monitor PBM effectively and identify areas that need improvement.