cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Robbi Rahim
Contact Email
usurobbi85@zoho.com
Phone
+628126326393
Journal Mail Official
sana@mediadigitalpublikasi.com
Editorial Address
JL. Kenari 18 No. 421 Desa/Kelurahan. Kenangan, Kec. Percut Sei Tuan, Kab. Deli Serdang, Kab. Deli Serdang, Provinsi Sumatera Utara, 20226, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
Journal of Blockchain, Nfts and Metaverse Technology
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 30309832     DOI : 10.58905/sana
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science
This Journal scope includes, but is not limited to, the following areas: Blockchain architecture, protocols, and security Non-fungible tokens (NFTs) and their applications in the creative industries, gaming, and more Metaverse technology and virtual worlds, including the development and governance of decentralized autonomous organizations Tokenomics and economics of blockchain and NFTs Legal and regulatory frameworks for blockchain and NFTs The intersection of blockchain, NFTs, and metaverse technology with other fields such as finance, gaming, and the arts The journal welcomes contributions from a wide range of disciplines, including computer science, economics, law, and the arts. The journal is committed to fostering an open and inclusive scholarly community and to promoting diversity, equity, and inclusiveness in all its endeavors. With its focus on blockchain, NFTs, and metaverse technology, SaNa: Journal of Blockchain, NFTs and Metaverse Technology aims to provide a valuable resource for researchers, practitioners, policymakers, and industry leaders seeking to understand and advance the capabilities of these cutting-edge technologies.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2024): February 2024" : 5 Documents clear
Analysis of K-NN Algorithm and Linear Regression to Predict House Prices in Jabodetabek Nadia Putri Ariyanti; Agung Triayudi; Ratih Titi Komala Sari
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.265

Abstract

Jabodetabek is now the region with the highest average level of citizen satisfaction, so many people migrate to this region in the hope of getting better living conditions, this will make people who want to buy a house question whether the house they want to buy is good value or not. The purpose of this study is to evaluate the effectiveness of multiple linear regression and K-Nearest Neighbors (KNN) algorithm on a dataset of house prices in Jabodetabek. Better results are obtained by using the Multiple Linear Regression model which has lower Mean Absolute Error (MAE) and Mean Squared Error (MSE) values and a fairly good R-squared of around 48.72%. However, the very high MAE and MSE values of the KNN model indicate inaccuracy and significant prediction variance. Although KNN has a relatively high R-squared value, more research is needed to see if the model can adequately explain data fluctuations. Based on the performance evaluation, multiple linear regression is ultimately a better choice
Sentiment Analysis on Twitter Using Naïve Bayes and Logistic Regression for the 2024 Presidential Election Alisya Mutia Mantika; Agung Triayudi; Rima Tamara Aldisa
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.267

Abstract

In accordance with the notion of democracy which is the basis of the state of Indonesia, general elections will be held in 2024. In the implementation of the General Election there is a campaign to lead the public vote to choose the best candidate according to public opinion. Twitter social media is one of the media to voice opinions as well as share information to become one of the indirect campaigning platforms. Social media also does not escape negative issues, community rumors, and even the digital footprint of presidential candidates which can be a very important consideration in campaigning. This research aims to see the public's response to the 2024 presidential candidates. This research is conducted based on public opinion on presidential candidates, then public opinion data taken from Twitter social media will go through a pre-processing process to clean the data before the data is classified into Naive Bayes and Linear Regression modeling. The two classification models are then sought for the highest performance accuracy value and confusion matrix with 80:20 splitting data. The results showed that the Naive Bayes classification model had a higher accuracy value than the Logistic Regression classification model, which was 63% for Anies Baswedan candidate, 77% for Ganjar Pranowo candidate, and 44% for Prabowo Subianto. The highest accuracy value was obtained by the sentiment data of 2024 presidential candidate Ganjar Pranowo, which was 77%.
Implementation of Face Recognition for Lecturer Attendance Using Deep Learning CNN Algorithm Fajhar Muhammad; Agung Triayudi; Eri Mardiani
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.270

Abstract

Using the Convolutional Neural Network (CNN) algorithm, this research aims to create a better lecturer attendance application that improves the attendance system and creates peace of mind when lecturers arrive at national universities. The author analyses the results of applying deep learning algorithms to an experimental face recognition system that uses convolutional neural networks. The purpose of this study is to show that deep learning algorithms can improve the accuracy and efficiency of recording presence. In addition, the goal of this research is to create a timekeeping application using face recognition technology that is expected to have a high level of accuracy. In addition, this research includes a modification of the CNN model. This modification resulted in an epoch value of 75 for training of 100% and test of 95%. Analysis of results, drawing conclusions, and suggestions for additional development are the final stages of this research. Evaluation of the integrated system is done by collecting actual attendance data and comparing it with the attendance records created by the system. This validation will help explain the performance of the system and find problems or vulnerabilities that may need to be fixed.
Implementation of the Double Diamond Method in User Experience Design of Health Service Application (Homecare) Rian, Rian Hidayat; Agung Triayudi; Ira Diana Sholihati
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.272

Abstract

The rapid development of technology at present is almost utilized in every aspect of life, including education, economy, social, and health. However, the equal distribution of this technology has not been fully implemented, especially in the field of health. According to data from Databoks in 2022, 71% of the population has never accessed health services online. This serves as the basis for the creation of the User Interface (UI) and User Experience (UX) for health service applications (homecare) using the Double Diamond method, which is divided into four stages: discover, define, develop, and deliver. Data collection in this research is conducted through literature studies, interviews, and observations. Additionally, usability testing is performed using the System Usability Scale (SUS), with a testing result of 83.3%, categorized as excellent. This can contribute to a positive user experience for the users.
VoIP System Implementation Using Issabel as an Integrated IP PBX Server with Telco Vendors Riefand Fadhlurrohman; Agung Triayudi; Ratih Titi Komala Sari
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.274

Abstract

In today's telecommunication world, we cannot be separated from long-distance communication using telephones, either personal needs or mass needs. Therefore, this research aims to introduce a system that may be less familiar today, namely the VoIP System Implementation Using Issabel as an Integrated IP PBX Server with Telco Vendors. In this research, the author conducted experiments using VirtualBox to support thesis writing and using one of the providers that the author borrowed from the office in order to make calls to GSM and PSTN. The author observes that currently there are quite a lot of call centres that need this system to support employee performance and cost efficiency. Through this journal, the author hopes that entrepreneurs or telecommunication companies can gain an understanding of the VoIP System and IP PBX Server to be implemented.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 2 No. 2 (2024): August 2024 Vol. 2 No. 1 (2024): February 2024 Vol. 1 No. 1 (2023): August 2023