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Matrix : Jurnal Manajemen Teknologi dan Informatika
Published by Politeknik Negeri Bali
ISSN : 2088284X     EISSN : 25805630     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering
Arjuna Subject : -
Articles 6 Documents
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Search results for , issue "Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika" : 6 Documents clear
KAMI index as an evaluation of academic information system security at XYZ university Andi Sofyan Anas; I Gusti Ayu Sri Devi Gayatri Utami; Adam Bachtiar Maulachela; Akbar Juliansyah
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i2.2447

Abstract

XYZ University is one of the universities that has used information technology to create quality service for students and the entire academic community. This Information technology service is managed by Information Technology and Communication Center (PUSTIK) which is responsible to carry out the development, management, service, and maintaining the security of information and communication technology. Good information technology governance should be able to maintain information security. Therefore, it is necessary to evaluate information system security especially the security of academic information systems. This information system security evaluation uses Keamanan Informasi (KAMI) Index which refers to the ISO/IEC 27001:2013 standard to be able to determine the maturity level of information security. An evaluation of five areas of the KAMI Index shows the Information Security Risk Management area gets the lowest score at 10 out of a total of 72. The result of the KAMI Index dashboard shows that the maturity level of each area of information security is at levels I and I+ with a total score of 166. This means that the level of completeness of implement ISO 27001:2013 standard is in the inadequate category.
Comparative analysis of support vector machine and k-nearest neighbors with a pyramidal histogram of the gradient for sign language detection Imantoko Imantoko; Arief Hermawan; Donny Avianto
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i2.2433

Abstract

The communication method using sign language is very efficient considering that the speed of information delivery is closer to verbal communication (speaking) compared to writing or typing. Because of this, sign language is often used by people who are deaf, speech impaired, and normal people to communicate. To make sign language translation easier, a system is needed to translate symbols formed from hand movements (in the form of images) into text or sound. This study aims to compare performance such as accuracy and computation time of Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) with Pyramidal Histogram of Gradient (PHOG) for feature extraction, to know which one is better at recognizing sign language. Yield, both combined methods PHOG-SVM and PHOG-KNN can recognize images from hand movements that form certain symbols. The system built using the SVM classification produces the highest accuracy of 82% at PHOG level 3, while the system built with the KNN classification produces the highest accuracy of 78% at PHOG level 2. The total computation time of the fastest training and testing by the SVM model is 236.53 seconds at PHOG level 3, while the KNN model is 78.27 seconds at PHOG level 3. In terms of accuracy, PHOG-SVM is better, but in terms of computation time, PHOG-KNN takes the place.
Designing a word recommendation application using the Levenshtein Distance algorithm Nadhia Nurin Syarafina; Jozua Ferjanus Palandi; Nira Radita
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i2.2419

Abstract

Good scriptwriting or reporting requires a high level of accuracy. The basic problem is that the level of accuracy of the authors is not the same. The low level of accuracy allows for mistyping of words in a sentence. Typing errors caused the word to become non-standard. Even worse, the word became meaningless. In this case, the recommendation application serves to provide word-writing recommendations in case of a typing error. This application can reduce the error rate of the writer when typing. One method to improve word spelling is Approximate String Matching. This method applies an approach to the string search process. The Levenshtein Distance algorithm is a part of the Approximate String-Matching method. This method, firstly, is necessary to go through the preprocessing stage to correct an incorrectly written word using the Levenshtein Distance algorithm. The application testing phase uses ten texts composed of 100 words, ten texts composed of 100 to 250 words, and ten texts composed of 250 to 500 words. The average accuracy rate of these test results was 95%, 94%, and 90%.
Exploratory data analysis of crime report Irwan Setiawan; Suprihanto Suprihanto
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i2.2449

Abstract

Visualization of data is the appearance of data in a pictographic or graphical form. This form facilitates top management to understand the data visually and get the messages of difficult concepts or identify new patterns. The approach of the personal understanding to handle data; applying diagrams or graphs to reflect vast volumes of complex data is more comfortable than presenting over tables or statements. In this study, we conduct data processing and data visualization for crime report data that occurred in the city of Los Angeles in the range of 2010 to 2017 using R language. The research methodology follows five steps, namely: variables identification, data pre-processing, univariate analysis, bivariate analysis, and multivariate analysis. This paper analyses data related to crime variables, time of occurrence, victims, type of crime, weapons used, distribution, and trends of crime, and the relationship between these variables. As the result shows, by using those methods, we can gain insights, understandings, new patterns, and do visual analytics from the existing data. The variations of crime variables presented in this paper are only a few of the many variations that can be made. Other variations can be performed to get more insights, understandings, and new patterns from the existing data. The methods can be performed on other types of data as well.
DSS for best e-commerce selection using AHP-WASPAS and AHP-MOORA methods Gede Surya Mahendra; I Wayan Widi Karsana; Anak Agung Istri Ita Paramitha
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i2.2306

Abstract

eIQ Consumer Pulse 2019 determines the 6 largest e-commerce in Indonesia, namely Blibli, Bukalapak, JD.id, Lazada Indonesia, Shopee and Tokopedia. This is due to an increase in e-commerce transactions. The COVID-19 pandemic, which emphasizes social distancing and physical distancing, has also played a role in increasing these transactions. Indonesia is also predicted to become the market leader in Southeast Asia due to this. On the other hand, each e-commerce customer has their preferences in choosing e-commerce to use in transactions. Various criteria make customers confused due to intense competition between e-commerce companies. DSS is a solution in choosing the right e-commerce for each customer's preferences. The AHP-WASPAS and AHP-MOORA methods can be used in calculations for determining favorite e-commerce in Indonesia. The CRISP-DM framework also helps in preparing the research flow well. 3 decision-makers are used to provide weighting criteria using AHP. The results of this study indicate that the Tokopedia alternative is the best e-commerce, with a preference value of 0.8964 for AHP-WASPAS and 0.4245 for AHP-MOORA. The second and third places are Bukalapak and Lazada, respectively. The weighting of the criteria by the decision-maker, the alternative normalization process and the calculation technique for the preference value have a significant impact on the ranking results.
The system development life cycle model implementation on information system of performance reporting IT asset case study: PT Kereta Api Indonesia (Persero) Muhamad Agung Santoso; Rina Fiati; Ratih Nindyasari
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 11 No 2 (2021): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i2.2274

Abstract

The asset performance monitoring should be done to find out and review the reported data whether it has been in line with the reality or not. It is important to identify the occurring problems to be immediately handled. The information system development aimed to build the existing system. Thus, it will be more effective and efficient to produce information. This research applied the System Development Life Cycle (SDLC) with Waterfall Model to design, create, maintain the information and process the system. During the creation of this information system, the authors applied the PHP language program, Framework Codeigniter, MySQL, database, and Visual Studio Code as the editorial codes. The implementation of the SIPERITA application, could be used excellently were proven effective and efficient because the application facilitated the monitoring activities by providing single application access in promoting a checking process of the condition asset then the user administrator can see a diagram of the monitoring results on the home page so that if there is a problem with the asset, direct action can be taken and with this application, users can print the reports based on daily, monthly, and annually.

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