cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Moch. Syahrir
Contact Email
muhammadsyahriralfath@gmail.com
Phone
+62361-701981
Journal Mail Official
matrix@pnb.ac.id
Editorial Address
Unit Publikasi Ilmiah, Pusat Penelitian dan Pengabdian Masyarakat, Politeknik Negeri Bali, Kampus Jimbaran, Badung, Bali, Indonesia
Location
Kab. badung,
Bali
INDONESIA
MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Published by Politeknik Negeri Bali
ISSN : 25805630     EISSN : 25805630     DOI : http://dx.doi.org/10.31940/matrix.v13i2.52-67
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Managing the rapid changes in information technology Emerging advances in electrical and electronics and new applications Implications of digital convergence and growth of electronics technology Project management in electrical, mechanical, or civil engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika" : 5 Documents clear
Hoax news identification using machine learning model from online media in Bahasa Indonesia Inggrid Yanuar Risca Pratiwi; Anggit Ferdita Nugraha
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.059 KB) | DOI: 10.31940/matrix.v12i2.58-67

Abstract

Information and communication technology that’s developing is one of the main triggers of the information explosion today. Nowadays, various news content is not only easy to obtain but also easy to produce through various platforms on the internet, including popular online media, such as blogs and websites. So a lot of news content on blogs and websites that are currently being circulated leads to fake news content (hoaxes) that can mislead the perception and thoughts of the readers. Therefore, it is important to develop a system that can detect the presence of fake news content to minimize the losses caused by the presence of fake news content. In this study, the Naive Bayes algorithm is proposed as a machine learning model that will be used to detect fake news content in Indonesian language online media. As a result, the global accuracy value reached 71% with recall, precision, and F1-Score values as a whole above 70% which indicates that the proposed model can detect fake news content quite well.
Delone and McLean Models for measuring the success of Flores University e-learning information system Kristianus Jago Tute; Maria Adelvin Londa
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.75 KB) | DOI: 10.31940/matrix.v12i2.68-78

Abstract

The University of Flores first conducted E-Learning learning amid the covid 19 pandemic, the problem faced was that most of the lecturers at the University of Flores did not understand E-learning by using information technology. The Faculty of Information Technology facilitated all faculties at the university to conduct e-training. E-Learning, in the learning process. The aim is to measure success in implementing the University of Flores E-Learning information system. The model in this study is the Delone and Mclean model to measure success with six dimensions, namely, system quality, information quality, users, service quality, user satisfaction, net benefits. The method in this research is observation, a survey using questionnaires in the form of a Likert scale, and a literature study. The data analysis technique used simple linear regression. The results showed that the Delone and Mclean models were very well used to measure the success of using e-learning. The conclusion is that the quality of information on the use percentage of 34.4%, the quality of service they use of 33.8%, the quality of the system on the satisfaction of the users is 38.6%, and the quality of the services on the satisfaction of the users 34,5%, the users on the satisfaction of the users 43,4%, use of net benefits is 58.7% and user satisfaction of net benefits is 48.8%. The higher the value of these variables, the higher the success rate of information systems using E-learning at universities will be.
Business transformation from connectivity to digital: case study “PT. MNO Indonesia” Itsnanta Muhammad Fauzan; Amirul Ihsan; Farhan Annur Mahmudi; Amirsyah Rayhan Mubarak; Catur Apriono
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (854.829 KB) | DOI: 10.31940/matrix.v12i2.79-90

Abstract

The telecommunications industry plays a role in meeting the needs of digital connectivity services to the community, especially in line with the community's need for internet connections which is increasing rapidly. As one of the telecommunications service operators in Indonesia, "PT. MNO Indonesia" must meet this need to get maximum profit and the best service to the customers with the right business strategy. However, the current connectivity business model is still the mainstay, with revenue levels that tend to stagnate and even experience a decline. The provision of network services and investment in infrastructure development are still the main concerns, so a change in business strategy is needed. This study proposes several recommendations for business strategies to increase revenue based on reviewing and analyzing financial data and statistics for Indonesian and international telecommunications businesses. In this study, financial report data and digital sector statistical data were analyzed and divided into four aspects: traffic, finance, network development, and digital service with the min-max method, standard deviation, and average. From the analysis conducted in this research, "PT. MNO Indonesia" needs to transform its business into digital business model.
Asah skill: An approach skill-based learning platform with management and strategic planning process Ellin Devihana Pratiwi; Hendrik Amrico; Muhammad Afiff Rizki; Resti Savira; Catur Apriono
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.993 KB) | DOI: 10.31940/matrix.v12i2.91-101

Abstract

Digital transformation in education improves entities by implementing significant changes in education by combining information technology, computing, communication, and coordination. This paper proposes improving education through a digital transformation through platforms, specifically online skills-based learning called ASAH Skill. The survey was conducted by collecting question data from Google Forms. By using the Problem Validation method and Primary Data, obtained Product Validation on Customer Needs (Survey) and Product Strategy (Affinity Diagram). It is a market-based validation as a guide for designing ASAH Skill products that meet the criteria and needs of Skill Providers and Seekers. The method considered consists of three steps, namely strategic situation analysis (SSA), strategy formulation (SF), and strategy implementation (SI). We have finally found what customers need to develop their skills during the isolation period of the covid-19 pandemic. The survey was conducted on 51 respondents. Strategic Implementation consists of Mockup, Business Model Canvas (BMC), and Problem Solution Fit Canvas. The biggest detention experienced by respondents was very limited mobility (82.4%). The survey also showed that most of the activities respondents did during the pandemic were exploring new things (37.3%). Video editing is the most learned skill during the pandemic (25.9%), and YouTube is the respondents' main choice as a medium for learning skills (43.1%). Overall, the results of the study show that dispensing and learning skills are a new need for society during a pandemic. The provision of a platform is a development opportunity as a forum for the dissemination and learning of skills. The highest priority is on the 'easy to use' attribute where all respondents give an importance rating of 5.
Application of the Blowfish Algorithm in securing patient data in the database Pahrul Irfan; Rifqi Hammad; Andi Sofyan Anas; Fatimatuzzahra; Nanang Samudra
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.146 KB) | DOI: 10.31940/matrix.v12i2.102-108

Abstract

Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 14 No. 1 (2024): Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 2 (2023): Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 1 (2023): Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Jurnal Manajemen Teknologi dan Informatika Vol. 11 No. 3 (2021): Jurnal Manajemen Teknologi dan Informatika