cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 361 Documents
 29   30   31   32   33 
Implementation of Penetration testing on Websites to Improve Security of Information Assets UPN "Veteran" Yogyakarta Sofyan, Herry; Sugiarto, Meilan; Akbar, Bagus Muhammad
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.7757

Abstract

Purpose: This study aims to implement penetration testing on the website https://fit.upnyk.ac.id owned by Telematics UPN "Veteran" Yogyakarta to determine whether there are vulnerabilities or security holes in the web server. Then make an analysis based on the results of penetration testing on the web server using penetration testing tools (penetration testing scanner) so that recommendations for improvements are obtained to close security holes that can be used as a way for hackers to enter the system, as well as provide risk mitigation recommendations.Design/methodology/approach: This study uses the penetration test method which consists of five stages, namely literature study, information gathering, identification of system vulnerabilities, penetration testing and analysis. Penetration tests were carried out using acunetix tools and analysis using the OWASP and ISAAF methods.Findings/result: Based on research conducted on the website https://fit.upnyk.ac.id/ using the OWASP method, several vulnerabilities were found, including one vulnerability with a high level (high), three with a medium level and six with a low level (low), so that it can be it can be concluded that in general the level of vulnerability of the website is at the medium levelOriginality/value/state of the art: Penetration testing on the website can be done by identifying system vulnerabilities, penetration testing and analysis. The OWASP method can be used to find vulnerabilities on a website
Autoregressive Integrated Moving Average (ARIMA) Models For Forecasting Sales Of Jeans Products Permata, Jenny Meilila Azani Cahya; Habibi, Muhammad
Telematika Vol 20 No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.7868

Abstract

Purpose: To be able to compete with other companies, it is necessary to estimate and forecast jeans products that will be ordered according to consumer demand every month, so that there is no excess inventory and product shortage. If there is a shortage of goods, the consumer will be disappointed with the seller, and vice versa if the goods are overstocked, the quality will continue to decline to the detriment of the seller and the buyer, resulting in a shortage of materials.Methodology: To overcome the problem of selling jeans products, the ARIMA method is suitable to overcome the problem of forecasting the stock of jeans sales. ARIMA model is a model that completely ignores the independent variables in making forecasts. ARIMA uses past and present values of the dependent variable to produce accurate short-term forecasting.Results: The built forecasting has a MAPE accuracy rate of 17.05% so it can be said that predicting has good results according to the criteria. Forecasting results in the following year show that sales tend to increase from the previous year.Originality: This research was conducted using sales data of jeans products at company XYZ and using the ARIMA method which previous researchers have never done.
Forecasting Performance of Double Exponential Smoothing Model and ETS Model for Predicting Crude Oil Prices Prapcoyo, Hari; As'ad, Mohamad; Sujito, Sujito; Setyowibowo, Sigit; Farida, Eni
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.8104

Abstract

Purpose: This study aims to predict the price of monthly crude oil quickly and accurately by using an easy model and with easily available software.Design/methodology/approach: This study compares the DES-Holts and ETS models to predict price of monthly crude oil.Findings/result: The results of this study recommend the ETS(M,N,N) model to predict the price of monthly crude oil which produces an accuracy value of RMSE and MAPE of 4.385812 and 6.499007 %, respectively.Originality/value/state of the art: This study implements the DES_Holt's and ETS models to predict price of monthly crude oil with an RMSE and MAPE forecasting accuracy that has never been done in previous studies. 
Analysis Of Factors Affecting Interest Kai Access Application Users Using Models Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT 2) Firmansyah, Rifki; Fauziah, Yuli; Perwira, Rifki Indra
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.8482

Abstract

Purpose: This study aims to analyze the factors that influence user interest in the KAI Access application using the Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT 2) model.Methodology: This study used the Structural Equation Modeling (SEM) method with two tests, namely the outer model and the inner model with the help of the SmartPLS Version 3 software. A total of 406 respondent data were used from the Special Region of Yogyakarta and also users of the KAI Access application.Results:  The results of the study show that of the fourteen hypotheses proposed in the study, only seven were accepted, namely social influence, facilitating conditions, hedonic motivation, price value, and habit. The strongest factors that have a significant effect are hedonic motivation and habit.State of the art: based on previous research, this study has quite similar characteristics but different cases, variables, and research samples.
Convolutional Neural Network for Identifying Tree Species Using Stem Images Pramesti, Nadia; Rianto, Rianto
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.8774

Abstract

Purpose: Identification of tree species based on stem images using programming assistance to design an automation tool to be able to distinguish tree species directly based on stem images from the new data entered.Design/methodology/approach: Identifying tree species is usually done using leaf images, in previous studies related to identifying tree species based on leaf images this resulted in quite high accuracy but was felt to be not optimal. In this study, we used a convolutional neural network to compare the accuracy of bar images.Findings/result: from 1000 tree trunk image data, identification was carried out using the help of python with the CNN method it can be concluded that the test results used the best acuration at epoch 25 with a value reaching 96.80%Originality/value/state of the art: Research with theme identification of tree species based on stem images using the CNN method has never been done by previous researchers. 
Sentiment Analysis Of Student Opinion Related To Online Learning Using Naïve Bayes Classifier Algorithm And SVM With Adaboost On Twitter Social Media Ramli, Mohammad Rizal; Sulastri, Heni; Rianto, Rianto
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.8827

Abstract

Twitter is one of the social media that functions to express opinions on issues or problems that are currently happening, such as problems in the social, economic, educational and other fields. One of the issues being discussed so far is online learning. The government has issued a policy, one of which is for all students to study at home online by using a network to be able to interact with each other like in the classroom. The government's reason for issuing this policy is to break the chain of the spread of the Covid-19 virus, which until now has not subsided. Regarding this online learning policy, there are pros and cons. This opinion is widely expressed on social media, one of which is Twitter. Sentiment analysis is a method for analyzing an opinion which aims to classify texts. The Naïve Bayes Classifier and Support Vector Machine methods are methods machine learning that can be used for sentiment analysis. The problem in classifying text is that the resulting accuracy is less than optimal, so feature selection or boosting is needed to improve its accuracy. In this study, optimization of boosting was carried out using Adaboost. The purpose of this study is to compare the performance of the algorithm before and after using Adaboost. The results of the sentiment analysis on online learning obtained the highest accuracy results by the Naïve Bayes Classifier algorithm coupled with Adaboost of 99.26%, with a precision of 99.39% and recall of 99.20%.
Quality Analysis of the Ahmad Dahlan University Digital Library Using the WebQual 4.0 and Importance Analysis Performance (IPA) Method. Tarmuji, Ali; Akbardillah, K Moch Reza Dwi
Telematika Vol 20 No 3 (2023): Edisi Oktober 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i3.8846

Abstract

Purpose: This paper is the result of research which aims to obtain results of measuring the quality of web services from the Library Unit at Ahmad Dahlan University, especially from the perceptions of student users in order to prepare recommendations for improving services. This paper is the result of research which aims to obtain results of measuring the quality of web services, especially from perceptions student users in order to prepare recommendations for improving service mediaDesign/methodology/approach: Based on sampling data collected using a questionnaire and calculated using statistics. The next step is to measure the WebQuel 4.0 method, the results of which are combined with the Importance Performance Analysis (IPA) method to determine recommendations.Findings/result: The research results show that each independent variable, namely the usability variable and the information quality variable, partially has a relationship or is correlated with the dependent variable, namely user satisfaction, while the interaction service quality variable partially has no relationship or is uncorrelated with the dependent variable. The results of simultaneous hypothesis testing show that the independent variable has an effect on the dependent variable so that the hypothesis can be simultaneously accepted. Based on the analysis using the IPA method, there are three things in Quadrant 1 (Top Priority) which are not in accordance with user expectations and need to be improved, namely "the DIGILIB UAD web is easy to learn", "the DIGILIB UAD web has an attractive appearance", "the DIGILIB UAD web has the function of library web type”.Originality/value/state of the art: Based on previous research and the results of previous digilib web development, the research produced a new assessment of the quality measures of web services at UPT Libraries, and made it the main alternative for developing service media in a better direction.
Application Random Forest Method for Sentiment Analysis in Jamsostek Mobile Review Azmi, Tasya Auliya Ulul; Hakim, Luthfi; Novitasari, Dian Candra Rini; Utami, Wika Dianita Utami Dianita
Telematika Vol 20 No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.8868

Abstract

Purpose: This study aims to monitor the service quality of JMO applications from time to time by classifying JMO user reviews into the class of positive, neutral, and negative sentiments.Design/methodology/approach : The method used in this study is the random forest classification method. Data processing in this study uses feature extraction, TF-IDF and labeling with the lexicon-based method.Findings/result: Based on the research results, it was found that the highest frequency of classification was the positive class with 17571 reviews compared to the neutral class with 8701 reviews and the negative class with 3876 reviews with an accuracy evaluation value of 93%, precision 88%, recall 93%, and f1-score 90%.Originality/value/state of the art:This study uses 150737 reviews that have been pre-processed using the random forest method and TF-IDF and lexicon-based feature extraction.
Digital Image Processing to Detect Cracks in Buildings Using Naïve Bayes Algorithm (Case Study: Faculty of Engineering, Halu Oleo University) Hassanah, Waode Siti Nurul; Lestari, Yunda Puji; Saputra, Rizal Adi
Telematika Vol 20 No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.8925

Abstract

Purpose: To detect cracks in the walls of buildings using digital image processing and the Naïve Bayes Algorithm.Design/methodology/approach: Using the YCbCr color model for the segmentation process and the HSV color model for the feature extraction process. This study also uses the Naïve Bayes Algorithm to calculate the probability of feature similarity between testing data and training data.Findings/result: Detecting cracks is an important task to check the condition of the structure. Manual testing is a recognized method of crack detection. In manual testing, crack sketches are prepared by hand and deviation states are recorded. Because the manual approach relies heavily on the knowledge and experience of experts, it lacks objectivity in quantitative analysis. In addition, the manual method takes quite a lot of time. Instead of the manual method, this research proposes digital-based crack detection by utilizing image processing. This study uses an intelligent model based on image processing techniques that have been processed in the HSV color space. In addition, this study also uses the YcbCr color space for feature extraction and classification using the Naïve Bayes Algorithm for crack detection analysis on building walls. The accuracy of the research test data reached 88.888888888888890%, while the training data achieved an accuracy of 93.333333333333330%.Originality/value/state of the art: This study has the same focus as previous research, namely detecting cracks in building walls, but has different methods and is implemented in case studies.
Design Automatic Parking Application of Amikom Purwokerto University Kisma, Atmaja Jalu Narendra; Marcos, Hendra
Telematika Vol 20 No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.8933

Abstract

 Purpose: This study aims to deal with parking problems in the area of Amikom University, Purwokerto. In addition, this research is designed to implement theoretical and practical knowledge that has been obtained in lectures.Design/methodology/approach: In research on parking design applications in the Amikom University area, Purwokerto, library study methods and literature study methods are used. The amount of data can add insight and can make it easier to process data in research.Findings/result: This application will be able to help more Amikom Purwokerto University residents, especially in the Faculty of Computer Science. The use of this application will help find parking areas in FIK areas such as Basement Parking, Front Parking and Field Parking. In addition, security will be helped by this application because if it is implemented, vehicles parked in the reserved area will be tidier and safer. In addition, security does not need to find an empty parking area for users.Originality/value/state of the art: This research focuses on parking system design like previous studies. However, this research focuses more on designing parking applications at Amikom Purwokerto University. 

Page 31 of 37 | Total Record : 361

 29   30   31   32   33 

Filter by Year

2010 2025


Reset
Filter By Issues
All Issue Vol 22 No 3 (2025): Edisi Oktober 2025 Vol 22 No 2 (2025): Edisi Juni 2025 Vol 22 No 1 (2025): Edisi Februari 2025 Vol 21 No 3 (2024): Edisi Oktober 2024 Vol 21 No 2 (2024): Edisi Juni 2024 Vol 21 No 1 (2024): Edisi Pertama 2024 Vol 21, No 1 (2024): Edisi Februari 2024 Vol 20 No 3 (2023): Edisi Oktober 2023 Vol 20, No 3 (2023): Edisi Oktober 2023 Vol 20, No 2 (2023): Edisi Juni 2023 Vol 20 No 2 (2023): Edisi Juni 2023 Vol 20 No 1 (2023): Edisi Februari 2023 Vol 20, No 1 (2023): Edisi Februari 2023 Vol 19, No 3 (2022): Edisi Oktober 2022 Vol 19, No 2 (2022): Edisi Juni 2022 Vol 19, No 1 (2022): Edisi Februari 2022 Vol 18, No 3 (2021): Edisi Oktober 2021 Vol 18, No 2 (2021): Edisi Juni 2021 Vol 18, No 1 (2021): Edisi Februari 2021 Vol 17, No 2 (2020): Edisi Oktober 2020 Vol 17, No 1 (2020): Edisi April 2020 Vol 16, No 2 (2019): Edisi Oktober 2019 Vol 16, No 1 (2019): Edisi April 2019 Vol 15, No 2 (2018): Edisi Oktober 2018 Vol 15, No 1 (2018): Edisi April 2018 Vol 14, No 2 (2017): Edisi Oktober 2017 Vol 14, No 1 (2017): Edisi April 2017 Vol 13, No 2 (2016): Edisi Juli 2016 Vol 13, No 1 (2016): Edisi Januari 2016 Vol 12, No 2 (2015): Edisi Juli 2015 Vol 12, No 1 (2015): Edisi Januari 2015 Vol 11, No 1 (2014): Edisi Juli 2014 Vol 10, No 2 (2014): Edisi Januari 2014 Vol 10, No 1 (2013): Juli 2013 Vol 9, No 2 (2013): Edisi Januari 2013 Vol 9, No 1 (2012): Edisi Juli 2012 Vol 8, No 2 (2012): Edisi Januari 2012 Vol 8, No 1 (2011): Edisi Juli 2011 Vol 7, No 2 (2011): Edisi Januari 2011 Vol 7, No 1 (2010): Edisi Juli 2010 Vol 6, No 2 (2010): Edisi Januari 2010 More Issue