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Journal of Information Technology and Computer Science

jitecs
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Published by Universitas Brawijaya

ISSN : 25409433 EISSN : 25409824 DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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.

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Articles 10 Documents

Search results for , issue "Vol. 6 No. 1: April 2021" : 10 Documents clear

Detection of Disease and Pest of Kenaf Plant using Convolutional Neural Network Fajri, Diny Melsye Nurul; Mahmudy, Wayan Firdaus; Yulianti, Titiek
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Kenaf fiber is mainly used for forest wood substitute industrial products. Thus, the kenaf fiber can be promoted as the main composition of environmentally friendly goods. Unfortunately, there are several Kenaf gardens that have been stricken with the disease-causing a lack of yield. By utilizing advances in technology, it was felt to be able to help kenaf farmers quickly and accurately detect which pests or diseases attacked their crops. This paper will discuss the application of the machine learning method which is a Convolutional Neural Network (CNN) that can provide results for inputting leaf images into the results of temporary diagnoses. The data used are 838 image data for 4 classes. The average results prove that with CNN an accuracy value of 73% can be achieved for the detection of diseases and plant pests in Kenaf plants.

Comparison of Bagging Ensemble Combination Rules for Imbalanced Text Sentiment Analysis Cahya, Reiza Adi; Bachtiar, Fitra A.; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

The wealth of opinions expressed by users on micro-blogging sites can be beneficial for product manufacturers of service providers, as they can gain insights about certain aspects of their products or services. The most common approach for analyzing text opinion is using machine learning. However. opinion data are often imbalanced, e.g. the number of positive sentiments heavily outnumbered the negative sentiments. Ensemble technique, which combines multiple classification algorithms to make decisions, can be used to tackle imbalanced data to learn from multiple balanced datasets. The decision of ensemble is obtained by combining the decisions of individual classifiers using a certain rule. Therefore, rule selection is an important factor in ensemble design. This research aims to investigate the best decision combination rule for imbalanced text data. Multinomial NaÃ¯ve Bayes, Complement NaÃ¯ve Bayes, Support Vector Machine, and Softmax Regression are used for base classifiers, and max, min, product, sum, vote, and meta-classifier rules are considered for decision combination. The experiment is done on several Twitter datasets. From the experimental results, it is found that the Softmax Regression ensemble with meta-classifier combination rule performs the best in all except in one dataset. However, it is also found that the training of the Softmax Regression ensemble requires intensive computational resources.

Event Recommendation System using Hybrid Method Based on Mobile Device Kudori, Dio Saputra
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

In everyday life there are many events that are held. Theseeventuse various ways in term of announcing eventfor attracting people to come.Because there are many event that are held in everyday life,an event recommendation system can be implemented to provide event recommendations that are appropriate for the user. In developing event recommendation systems, there are many methods that can be used, the onethat frequently used is collaborative filtering. The event recommendation system has a unique character compared to other recommendation systems. This is because the event recommendation system doesnâ€™t use the classic scenario of a recommendation system. In this study we tried to use a hybrid method that combines collaborative filteringwith sentiment analysis. The experiment show that the results of the event recommendations have an accuracy value of 82%. Itshows that the hybrid method can be utilized for developing event recommendation systems.

Decision Support System for Diagnose Hepatitis Type using Expert System Method Mulya, Dimmas; Pratiwi, Dian; Mardianto, Is
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

In the medical world, there are five types of Hepatitis, namely Hepatitis A, B, C, D, and E. However, the five types of hepatitis have similar symptoms, including yellowing of the skin color, yellowing of the eyeball, loss of appetite, etc. Thus, many of the Medical Personnel often misdiagnose the patient for the type of hepatitis or not suffer from hepatitis.Therefore, previous diagnostic data ware collected from Medical Specialists which will be processed and developed into the Java-based Decision Support System Application with Expert System method with the percentage output of the likelihood of patients from each type of hepatitis along with the possibility of patients not suffering from hepatitis.With the output of this application, the percentage of the possibility of each type of hepatitis or the possibility of not suffering from hepatitis can help Medical Personnel to make diagnostic decisions based on alternatives provided by the application.

Application of Density Based Spatial Clustering Application With Noise (DBSCAN) in Determining the Quality of Keprok Orange and Siam Orange Hybrid in the Research Center of Orange and Subtropic Plants Batu City Alqorni, Faiz; Mahmudy, Wayan Firdaus; Widodo, Agus Wahyu
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Abstract. One of the tasks of the Indonesian Citrus and Subtropical Research Institute is research on crossing between citrus varieties to produce saplings with the best quality products through observation of the fruit produced. Because the amount of fruit production studied is very large, it requires a fast and accurate observation process, one of which is the clustering method of data mining. Observations were made using a clustering process or grouping Density Based Spatial Clustering Application with Noise (DBSCAN) on fruit characteristics that indicate quality. DBSCAN works by grouping data based on density, so that it is expected to find several data groups that are close to each other which shows the tendency of the quality of the observed fruit data as well as labeling outlays for data that are too far from the crowd. The results of the grouping will be analyzed to find out the number and characteristics of the groups formed where the results of the grouping are assessed using the Silhouette Coefficient method to determine the best parameter values. The results obtained in this study are obtained three group results which will be divided into medium quality, good, and not so good. The quality of grouping using the Silhouette Coefficient value of 0.69.

Initial Suspicion on Detecting Code Plagiarism and Collusion in Academia: Case Study of Algorithm and Data Structure Courses Ayub, Mewati; Karnalim, Oscar; Wijanto, Maresha Caroline; Risal, Risal
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

In engineering education, some assessments require the students to submit program code, and since that code might be a result of plagiarism or collusion, a similarity detection tool is often used to filter excessively similar programs. To improve the scalability of such a tool, it is suggested to initially suspect some programs and only compare those programs to others (instead of exhaustively compare all programs one another). This paper compares the ef-fectiveness of two common techniques to raise such initial suspicion: focusing on the submissions of smart students (as they are likely to be copied), or the submissions of slow-paced students (since those students are likely to breach academic integrity to get higher assessment mark). Our study shows that the latter statistically outperforms the former by 13% in terms of precision; slow-paced students are likely to be the perpetrators, but they fail to get the submissions of smart students.

Exploring the role of geospatial technology in disaster management of Batu City: Qualitative analysis using RQDA method Kriswibowo, Rony; Ramdani, Fatwa; Aknuranda, Ismiarta
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Disaster management is important to reduce the risk casualties as well as the environment and economic impacts. One of the stakeholders in disaster management in Indonesia at the local level is the Regional Disaster Management Agency (Badan Pengelolaan Bencana Daerah â€“ BPBD).Â In the process of disaster management, there are several phases. Thi initial phase is known as the prevention phase, which is an attempt to eliminate or reduce the possibility of a threat. In this phase, the role of information technology is important to increase the efficiency in disaster management. One of the information technologies that is used widely in disaster management is the Geographic Information System (GIS). This study explores the role of GIS technology employed at BPBD of Batu City in disaster management. The Research Qualitative Data Analysis (RQDA) method is employed based on the questionnaire data. The results show that the role of GIS technology is very limited. The disaster management at the Batu City is mostly done by the traditional method with the manual approach. The role of technology is limited it needs to be improved. Suggestions for increasing the role of technology is to conduct training on the use of GIS for employees. It is expected to increase the role of technology in disaster management.

Realizing the Well-Being of Senior Citizen by Developing Smart Application: A Conceptual Model Nasution, Ammar Ihsan; Ibrahim, Jamaludin
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Years after years, there is an increased number of senior citizens in Malaysia. As the result, senior citizens become one of the society segments that given a priority focus by the government. Many programmes are planned by the government to help the senior citizen. But, issues on senior citizen still occurred, such as financial/economy, social, emotion/psychology, religious spiritual, education/knowledge, health, environment, family, and others. Today, technology grows rapidly and used in many sectors, including education, health, security, and in daily activities. Harnessing technology makesÂ life easier and productive. Mobile application can be found easily and utilized by everyone. The researcher believes that this technology/smart application can help the senior citizen to be productive and have a good life. Literature Review, Business Model Environment Map (EM), Business Model Canvas (BMC), and Value Preposition Canvas (VPC) used as the method of this paper. Therefore, this research paper proposed a conceptual solution to realize the well-being of Senior citizen through Smart Application.

Design and Development of Online Collaborative Learning Platform of Kit-Build Concept Map Pinandito, Aryo; Prasetya, Didik Dwi; Az-zahra, Hanifah Muslimah; Wardhono, Wibisono Sukmo; Hayashi, Yusuke; Hirashima, Tsukasa
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

A concept map is deemed a useful teaching and learning tool. It offers many potential advantages over just representing the studentsâ€™ knowledge and understanding during learning, and have been widely used to support learning. Kit-Build concept map is one learning framework that incorporate digital concept map for its learning activities. Learning with Kit-Build concept map has been found to have better learning effects towards students' understanding and knowledge retention. Incorporating Kit-Build concept map into collaborative learning have been reported to have better outcome than the traditional collaborative learning. However, collaborative learning with Kit-Build concept map cannot be accomodated with the current Kit-Build system where learning activity is conducted online. This study presents the design and development of online collaborative learning platform of Kit-Build Concept Map. A prototype of the collaboration system to support collaborative learning with Kit-Build concept map is developed and be evaluated to portray its potential usability for further development and practical use. The result suggested that incorporating Socket.IO as a real-time communication middleware is effective to deliver online collaborative learning features into the Kit-Build system. Preliminary evaluation to the system also suggested that the system has the potential for actual use in supporting distant collaborative learning with Kit-Build concept map.

Designing An Application of Software Project Management By Using Framework Scrum (SPM-Scrum) Santoso, Nurudin; Amalia, Faizatul
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Most of failures of startup application in many countries reached 75%, while the startup failures in Indonesia reached 90%. These failures were caused by non-technical or management factors in managing startup. The RPL (Software Engineering) Laboratory of FILKOM of Brawijaya University has a roadmap to develop an application to guarantee the success of a management software project. The data analysis had been performed on FILKOM studentâ€™s thesis work which generally develops software that has main obstacle in the management. A study solution which was developed through scientific SDLC and PMLC combined with Scrum method becomes an application named SPM-SCRUM. The results of analysis carried out on several software development projects refer to the Iterative SDPM process. Furthermore, the strategy of Iterative SDPM combined with Scrum method produces a system architecture design that separates the Front End and Back End

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