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Journal of Information Technology and Computer Science
Published by Universitas Brawijaya
ISSN : 25409433     EISSN : 25409824     DOI : -
The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology, computer science, computer engineering, information systems, software engineering and education of information technology. JITeCS publishes original research findings and high quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementations and applications.
Arjuna Subject : -
Articles 245 Documents
Comparative Evaluation of Usability between QWERTY-Based Arabic and Non-QWERTY-Based Arabic Keyboard Layout: Empirical Evidence Aknuranda, Ismiarta; Syawli, Almira; Setiawan, Budi Darma
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1422.696 KB) | DOI: 10.25126/jitecs.202052199

Abstract

QWERTY-based Arabic keyboard layouts have been in existence in order to assist QWERTY users in Arabic typing. However, there was lack of empirical evidence presenting the comparative usability of this layout and the common non-QWERTY-based Arabic keyboard layout. This study examined the usability of a QWERTY-based Arabic keyboard layout (QB) and the common non-QWERTY-based Arabic keyboard layout (NQB) from the perspective of QWERTY users, and compared the evaluation results between the two layouts. After experiments using within-subjects and between-subjects designs, the results showed that QB is significantly better in efficiency and learnability than NQB. QB also enabled more effective typing in almost all experiment designs, except in one between-subjects study. The relatively short interaction time of participants’ first encounter with Arabic keyboards possibly caused this exception. Most participants subjectively preferred QB to NQB in their overall usability.
Index and Back Cover Purbosari, Lina
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1839.8 KB) | DOI: 10.25126/jitecs.202052238

Abstract

Index and Back Cover
Road Damaged Analysis (RODA) using Built-in Accelerometer Sensor in Smartphone Huda, Choirul; Tolle, Herman; Utaminingrum, Fitri
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1507.423 KB) | DOI: 10.25126/jitecs.202052168

Abstract

Road damage produces serious problems for the driver such as travel efficiency, vehicle value, and even driver safety. In some cases, road damage causes accidents and ends in death. Currently, road damage detection research extends to grow and present various approaches such as the implementation of an accelerometer sensor. However, the implementations face lacks of accuracy since unable to work in real-time and poor implementation. In the end, the system inadequate to identify damaged roads effectively. Therefore, a comprehensive study was proposed. Firstly, data collection is conducted by applying a low-pass filter to obtain accurate data. The next step is estimating the range value of the accelerometer graph. In the final step, the classification is performed to identify road conditions into smooth, medium and poor. Based on some experiments that have been done, the proposed method accurately recognizes road conditions by 86.67%.
Agent-based Modeling and Simulation for Evacuation of Landslides Natural Disaster Zayn, Afta Ramadhan; Ramdani, Fatwa; Bachtiar, Fitra Abdurrachman
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1591.135 KB) | DOI: 10.25126/jitecs.202052172

Abstract

Landslides are natural disasters that pose a threat which is quite high in the area of Batu, East Java, Indonesia. The occurrence of landslides has a negative impact on environmental damage and even fatalities. These impacts can arise due to a lack of planning in disaster management preparedness. Therefore better planning is needed to minimize the negative impacts that arise. Improvement of planning can be done by conducting evacuation simulations. However, the existing evacuation simulation is still static with one scenario that is done repeatedly. Therefore, a more dynamic evacuation simulation is needed to represent the various parties involved in it and to apply various scenarios. Such dynamic simulations can be facilitated using agent technology. Agents can describe autonomous behaviour and can communicate in their environment to achieve a goal. Apply the capabilities of these agents by modelling and simulating the evacuation process can provide an illustration for a more dynamic process of landslide evacuation. This research presents an agent-based landslide evacuation model and the simulation results from this model. The results are concerned that, by using agent technology can apply simulations with various conditions. So with these results can be used as a reference in the handling of natural disasters that occur landslides.
Aksara: Interactive Digital Pocket Books as an Effort to Increase Politeness in Language Hanggara, Buce Trias; Fiaji, Noveria Anggraeni; Zulvarina, Prima
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.552 KB) | DOI: 10.25126/jitecs.202052156

Abstract

Research and development of AKSARA: interactive digital pocketbooks, focusing on the development of a mobile application based on ethics of politeness and academic corruption, introduced as a form of early learning for Brawijaya University students. This research method was a mixed-method type. The development of digital pocketbooks was using a Recursive, Reflective, Design and Development model or can be abbreviated as R2D2. In the development of digital pocketbooks, the focus was on the three development focuses of R2D2, namely (1) Focus on determination; (2) Focus on developing product design, as well as its trials, and; (3) Focus on dissemination in accordance with the context of the development’s environment and needs. The results from the research and development process was a pocketbook app using mobile platform, which makes the product more ubiquitous. Applying the concept of gamification, this application has several interesting functions that stimulate user interaction. AKSARA provides ethics of politeness and academic corruption materials which are divided into systematic chapters and subchapters, each of them contains a quiz to measure user's understanding of the material. The correctness of answers and speed in answering the question determined the points received by users which can decide the user’s level and its ranking in the leaderboard. Users can also share their profiles in social media such as Instagram and Facebook. 
Quality Evaluation of EPC to BPMN Business Process Model Transformation Khudori, Ahsanun Naseh; Kurniawan, Tri Astoto; Ramdani, Fatwa
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.322 KB) | DOI: 10.25126/jitecs.202052176

Abstract

Due to the expressiveness of BPMN for representing the business processes, it has replaced EPC as a de-facto process modelling standard. As such, enterprises require to transform their existing EPC business process models to BPMN to keep their competitiveness. ARIS Architect & Designer, as a popular business process modelling tool, provides a model transformation feature, e.g., EPC to BPMN. For the sake of quality, it must guarantee that the resulting model has syntactic correctness and syntactic completeness. However, there is currently limited scientific approach available to evaluate the quality of the model transformation in ARIS Architect & Designer. This study proposes an evaluation of model transformation in ARIS Architect/Designer based on syntactic correctness and syntactic completeness criteria using an experimental approach. The result shows the model transformation in ARIS Architect/Designer has not completely fulfilled the criteria. The result opens further research challenges to improve the quality of EPC to BPMN model transformation.
Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit Fitriyah, Hurriyatul; Setiawan, Eko; Masruri, Muhammad Rifqi Radifan
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1259.483 KB) | DOI: 10.25126/jitecs.202052163

Abstract

Weight is an important parameter in fruits’ quality identification. Measuring fruits’ weight using scale is tedious since fruits must be taken from tree and placed on contact to scale. Many researches have proposed non-contact estimation methods of fruits’ weight using 2D images. The studies were commonly applied in axi-symmetric fruits, such oranges. In this paper, an algorithm to estimate weight of non axi-symmetric fruit is developed. It used a Linear Regression rather than geometric-based methods as proposed by other researches. The non axi-symmetric fruits chosen was star fruits. It is a challenging fruits since its basic shape is not round but irregular star shape. The estimation used pixel count from one-view image of the fruits’ projection as feature. The proposed method has RMSE of 16.322 Gram and MAPE of 7.089% compare to the expected weights. It also has high Coefficient of Determination, R^2, 0.8829 compare to the weight scale measurement.
Challenges in Developing Sequence Diagrams (UML) Kurniawan, Tri Astoto; Lê, Lam-Son; Priyambadha, Bayu
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1682.638 KB) | DOI: 10.25126/jitecs.202052216

Abstract

During the object-oriented software design phase, the designers have to describe the dynamic aspect of the system under development through the most common interaction diagram variant in UML 2.0, i.e. sequence diagrams. Some novice designers, including undergraduate and postgraduate students, suffer from making inappropriate models due to insufficiently detailed guidance required to develop such sequence diagrams. This paper classifies some potential mistakes which are likely performed by such novice designers, and discusses the corresponding corrections. We summarized such mistakes based on our long experiences in teaching software modeling classes as well as software analysis and design classes. There were classified twenty-one potential mistakes with respect to the syntactical and semantical correctness of the developed models. It is concluded that novice designers have to be aware and take into account the identified mistakes in such a way they can produce correct sequence diagrams.
Maintenance Web Based Applications Using Feature Location Arwan, Achmad; Rusdianto, Denny Sagita
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1266.433 KB) | DOI: 10.25126/jitecs.202052180

Abstract

Maintenance web applications are a complex set of efforts. The FilkomApps are the web application used by the Faculty of Computer Science of Universitas Brawijaya to arrange the academic, theses of students, assignment of faculty, inventory, presence, honorarium. It has about 6K number of files(HTML, PHP, JS, CSS). The feature location was able to help the maintenance of the web applications by locating specific features on the files. The process comprises of preprocessing (tokenizing, web language syntax removal, splitting, stopword and stemming), indexing (VSM Lucene), and evaluations (precision and recall). The experiments were done by querying the keywords originate from previous maintenance modification effort and feature of a system. The results of precision were 86% and recall were 47%. The precision was better 374% than the conventional method (using the IDE search feature)
Comparison of Regression, Support Vector Regression (SVR), and SVR-Particle Swarm Optimization (PSO) for Rainfall Forecasting Yulianto, Fendy; Mahmudy, Wayan Firdaus; Soebroto, Arief Andy
Journal of Information Technology and Computer Science Vol. 5 No. 3: Desember 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.218 KB) | DOI: 10.25126/jitecs.20205374

Abstract

Rainfall is one of the factors that influence climate change in an area and is very difficult to predict, while rainfall information is very important for the community. Forecasting can be done using existing historical data with the help of mathematical computing in modeling. The Support Vector Regression (SVR) method is one method that can be used to predict non-linear rainfall data using a regression function. In calculations using the regression function, choosing the right SVR parameters is needed to produce forecasting with high accuracy. Particle Swarm Optimization (PSO) method is one method that can be used to optimize the parameters of the existing SVR method, so that it will produce SVR parameter values with high accuracy. Forecasting with rainfall data in Poncokusumo region using SVR-PSO has a performance evaluation value that refers to the value of Root Mean Square Error (RMSE). There are several Kernels that will be used in predicting rainfall using Regression, SVR, and SVR-PSO with Linear Kernels, Gaussian RBF Kernels, ANOVA RBF Kernels. The results of the performance evaluation values obtained by referring to the RMSE value for Regression is 56,098, SVR is 88,426, SVR-PSO method with Linear Kernel is 7.998, SVR-PSO method with Gaussian RBF Kernel is 27.172, and SVR-PSO method with ANOVA RBF Kernel is 2.193. Based on research that has been done, ANOVA RBF Kernel is a good Kernel on the SVR-PSO method for use in rainfall forecasting, because it has the best forecasting accuracy with the smallest RMSE value.

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