Jurnal Teknik Informatika (JUTIF)
Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, algorithms and computation, and social impact of information and telecommunication technology. Jurnal Teknik Informatika (JUTIF) is published by Informatics Department, Universitas Jenderal Soedirman twice a year, in June and December. All submissions are double-blind reviewed by peer reviewers. All papers must be submitted in BAHASA INDONESIA. JUTIF has P-ISSN : 2723-3863 and E-ISSN : 2723-3871. The journal accepts scientific research articles, review articles, and final project reports from the following fields : Computer systems organization : Computer architecture, embedded system, real-time computing 1. Networks : Network architecture, network protocol, network components, network performance evaluation, network service 2. Security : Cryptography, security services, intrusion detection system, hardware security, network security, information security, application security 3. Software organization : Interpreter, Middleware, Virtual machine, Operating system, Software quality 4. Software notations and tools : Programming paradigm, Programming language, Domain-specific language, Modeling language, Software framework, Integrated development environment 5. Software development : Software development process, Requirements analysis, Software design, Software construction, Software deployment, Software maintenance, Programming team, Open-source model 6. Theory of computation : Model of computation, Computational complexity 7. Algorithms : Algorithm design, Analysis of algorithms 8. Mathematics of computing : Discrete mathematics, Mathematical software, Information theory 9. Information systems : Database management system, Information storage systems, Enterprise information system, Social information systems, Geographic information system, Decision support system, Process control system, Multimedia information system, Data mining, Digital library, Computing platform, Digital marketing, World Wide Web, Information retrieval Human-computer interaction, Interaction design, Social computing, Ubiquitous computing, Visualization, Accessibility 10. Concurrency : Concurrent computing, Parallel computing, Distributed computing 11. Artificial intelligence : Natural language processing, Knowledge representation and reasoning, Computer vision, Automated planning and scheduling, Search methodology, Control method, Philosophy of artificial intelligence, Distributed artificial intelligence 12. Machine learning : Supervised learning, Unsupervised learning, Reinforcement learning, Multi-task learning 13. Graphics : Animation, Rendering, Image manipulation, Graphics processing unit, Mixed reality, Virtual reality, Image compression, Solid modeling 14. Applied computing : E-commerce, Enterprise software, Electronic publishing, Cyberwarfare, Electronic voting, Video game, Word processing, Operations research, Educational technology, Document management.
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1,242 Documents
<![CDATA[COMPARISON OF DEEP LEARNING ARCHITECTURES FOR ANEMIA CLASSIFICATION USING COMPLETE BLOOD COUNT DATA ]]>
<![CDATA[Airlangga, Gregorius]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.3.2109
<![CDATA[Anemia is a common condition marked by a deficiency in red blood cells or hemoglobin, affecting the body's ability to deliver oxygen to tissues. Accurate and timely diagnosis is essential for effective treatment. This study aims to classify different types of anemia using complete blood count (CBC) data through the application of deep learning models. We evaluated the performance of four deep learning architectures: Multi-Layer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Fully Connected Network (FCN). The dataset included CBC parameters such as hemoglobin, platelet count, and white blood cell count, labeled with anemia types. Our results indicate that CNN and FCN models achieved the highest test accuracies of 0.85, outperforming MLP and RNN models. This superior performance is due to the ability of CNN and FCN to capture complex patterns and spatial relationships within CBC data. Techniques like data augmentation and weighted loss functions were employed to address class imbalance. These findings demonstrate the potential of deep learning models to automate anemia diagnosis, thereby enhancing clinical decision-making and patient outcomes.]]>
<![CDATA[EVALUATION OF USER EXPERIENCE OF MOBILE BANKING APPLICATIONS USING USER EXPERIENCE METHOD QUESTIONNAIRE (UEQ) AND HEURISTIC EVALUATION (HE) ]]>
<![CDATA[Novianti, Elzy]]>;
<![CDATA[Ahsyar, Tengku Khairil]]>;
<![CDATA[Syaifullah, Syaifullah]]>;
<![CDATA[Fronita, Mona]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2117
<![CDATA[One of the largest banks in Indonesia managed by the government is Bank Rakyat Indonesia. BRI is one of the banking institutions that implements a mobile banking system. Issues and disruptions in usability of the application, as indicated by survey results from users, have been identified. This research aims to evaluate the capability of the BRImo application to provide a positive user experience. In this research testing, two methods are applied: User Experience Questionnaire and Heuristic Evaluation. The results of the benchmark UEQ questionnaire testing show scores on the attractiveness scale at 1.61, efficiency at 1.76, and stimulation at 1.52, categorized as good, while scores from the perspicuity scale at 1.72, dependability at 1.48, and novelty at 0.75 are considered above average. Issues identified by experts with the BRImo application have the potential to hinder users. Based on the severity level testing results of 10 aspects of the method, Aesthetic and Minimalist Design received a rating of 2 (two), with a score of 1.66, indicating a need for improvement with low priority.]]>
<![CDATA[EVALUATION OF USER EXPERIENCE (UX) HNI MOBILE USING THE THINK ALOUD METHOD ]]>
<![CDATA[Revansa, Muhammad Dio]]>;
<![CDATA[Angraini, Angraini]]>;
<![CDATA[Ahsyar, Tengku Khairil]]>;
<![CDATA[Syaifullah, Syaifullah]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2120
<![CDATA[User experience (UX) evaluation is important to determine the quality of a product or service. This research evaluates the UX of the HNI Mobile application using the think aloud method which asks users to express their thoughts while using the system. Involving 5 respondents who performed 10 task scenarios. The respondents' verbalization data, transcribed, and analyzed with NVIVO 12. The results obtained 5 main codes/themes of problems, namely profile editing, language features, member notifications, feature layout, and feature upgrades, which were visualized in a mind map. A retrospective probing technique was used to understand user difficulties. Although the main features functioned well, some respondents experienced difficulties in using the supporting features such as edit profile, change language, and access notifications. These findings provide input to improve the user experience of the HNI Mobile app in the future.]]>
<![CDATA[IMPLEMENTATION OF THE K-MEANS CLUSTERING ALGORITHM IN ANALYZING PUBLIC SATISFACTION REGARDING PUBLIC SERVICES (STUDI CASE: BALAI PENGUJIAN STANDAR INSTRUMEN TANAMAN INDUSTRI DAN PENYEGAR) ]]>
<![CDATA[Alifah, Atika Juhaedah]]>;
<![CDATA[Saepudin, Sudin]]>;
<![CDATA[Irawan, Carti]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2125
<![CDATA[With the development of today's modern era, publik service is an important and very necessary thing because it is one of the benchmarks for seeing publik trust and satisfaction with the services provided by an agency. One of the agencies that carries out publi services is the Balai Pengujian Standar Instrumen Tanaman Industri dan Penyegar (BPSI TRI), a government agency under the Ministry of Agriculture. There are a lot of people who will receive services in 2023. Therefore, publik service officers find it difficult to determine publik satisfaction in order to optimize the services provided. To determine community satisfaction, data mining calculations were carried out using the K-Means clustering algorithm method with Community Satisfaction Index (IKM) data in 2023 using 3 (three) categories including unsatisfactory (C1), satisfactory (C2) and very satisfactory) and 2 attributes, namely the behavior of service officers (U7) as well as handling complaints, suggestions and input (U8) then carried out calculations using Microsoft Excel and got the results that C1 (unsatisfactory) 14 respondents, C2 (satisfactory) 39 respondents and C3 (very satisfactory) 98 respondents. Meanwhile, from the results of calculations using python testing, the results showed that C1 (unsatisfactory) was 9 respondents, C2 (satisfactory) was 39 respondents and C3 (very satisfactory) was 103 respondents.]]>
<![CDATA[ARCHITECTURAL DESIGN OF THE SCHOOL ACADEMIC SYSTEM (E_MENGAJAR) USING THE OPEN GROUP ARCHITECTURE FRAMEWORK (TOGAF) AT SMPN 1 PAGELARAN PRINGSEWU DISTRICT ]]>
<![CDATA[Yulian, Hengky]]>;
<![CDATA[Nugroho, Handoyo Widi]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2130
<![CDATA[This research aims to design the architecture of a school academic system called E-Teaching at SMPN 1 Pagelaran, Pringsewu Regency, using the Open Group Architecture Framework (TOGAF) framework. This approach was chosen to ensure that the resulting system has a solid structure, is reliable, and is well integrated with the school's business processes. The research method used includes the main stages of TOGAF, namely Preliminary Phase, Architecture Vision, Business Architecture, Information Systems Architecture, Technology Architecture, and Opportunities and Solutions. The results of this research are in the form of an architectural model that includes main components such as student data management, learning administration, academic evaluation, and integration with the school management information system. The implementation of E-Teaching is expected to increase operational efficiency, simplify administrative processes, and support the overall learning process at SMPN 1 Pagelaran. The findings from this research provide a significant contribution to the development of academic information systems in secondary education environments, and show that the application of TOGAF can provide effective results in system architecture design.]]>
<![CDATA[IMPLEMENTATION OF COBIT 2019 TO MEASURE IT MATURITY LEVELS IN DIGITAL BANKS ]]>
<![CDATA[Rahmat Rian Hidayat]]>;
<![CDATA[Jatikusumo, Dwiki]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2135
<![CDATA[As a bank supervised by authorities such as the Financial Services Authority (OJK), however, Bank ATR must improve its digital maturity in accordance with the criteria of the OJK Digital Banking Transformation Blueprint. The blueprint has not yet established a method to measure the digital maturity. As a result, the banking industry is having difficulty meeting these requirements. This study aims to measure the level of capability and provide recommendations for improvement using the COBIT 2019 framework. This study uses a qualitative method approach with the COBIT 2019 framework and data collection techniques through interviews. The results of the study show that the level of IT maturity at Bank ATR is 2.76 (Managed). This shows that the Bank's IT management produces a level of process capability that has achieved its goals by carrying out activities that are carried out regularly, while EDM objective management gets the highest maturity with 4.0, and APO objective management gets the lowest maturity with 2.0.]]>
<![CDATA[DESIGNING 64-BIT BLOCK CIPHER CRYPTOGRAPHY BASED ON THE PATTERN OF ONE OF KARO'S TRADITIONAL CLOTHS ]]>
<![CDATA[Dandy Duggari Manik]]>;
<![CDATA[Somya, Ramos]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2137
<![CDATA[The ease of access to information technology in the modern era can be felt in various aspects of human life needs, one of which is exchanging information or exchanging data is an activity that has been carried out very often every day. With this convenience, the security and confidentiality of the data is also very important to consider because the information or data exchanged can contain important or confidential matters. In the exchange of data or information, of course, a security system is needed that ensures the data remains safe. One of the techniques to secure this data is to use cryptographic techniques. There have been many cryptographic techniques used or implemented to secure information, but many cryptographic techniques have been solved so that the ability to secure data is doubtful. One way to overcome this is to create a new cryptography or make changes to existing cryptography. Through this research, a cryptography will be created that uses the pattern of Karo traditional cloth and uses a 64-bit Block Cipher to produce a better encryption process.]]>
<![CDATA[APPLICATION OF THE HAVERSINE DISTANCE METHOD TO THE JOB AND VACANCIES SEARCH SYSTEM IN THE ENTERTAINMENT SECTOR IN INDONESIA ]]>
<![CDATA[Edi Junaedi]]>;
<![CDATA[Ariyanti, Fransisca Dini]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2138
<![CDATA[The International Monetary Fund (IMF) projects that the poverty rate in Indonesia will reach 5.2% by 2024, ranking 59th in the world, Indonesia is the country in Southeast Asia with the highest poverty rate. The second highest poverty rate is in 2023. The percentage is projected to reach 5.3% this year. According to the Central Statistics Agency (BPS), in August 2023 the number of open unemployment in Indonesia will reach 7.86 million people, equivalent to 5.32% of the total national workforce. The Philippines will face the highest poverty rate in the region, followed by Indonesia next with a poverty rate of 5.4%. By 2023. this high poverty rate reflects the urgent need to create jobs. Therefore, the author conducted this research with the aim of addressing the problem of high unemployment rates through a centralized platform that offers job search features and vacancies based on the nearest location for job seekers and providers in the entertainment field, which can be accessed anytime and anywhere. The result of this research is an android application that can facilitate and assist in finding or providing jobs. Through this research the author can contribute to the growth of the entertainment industry in Indonesia, creating new income opportunities for individuals with skills that are usually performed on-site such as singers, magicians, comedians, models, presenters, and other talents in the entertainment sector. This study adopts a qualitative approach, uses the prototype method in the development of the application and applies the Haversine method to calculate the distance between two coordinate points. Thus this study can make a positive contribution in addressing the unemployment problem and increasing job opportunities in the entertainment sector in Indonesia.]]>
<![CDATA[UNDERSTANDING THE TRENDS OF DEVELOPER CONTRIBUTIONS IN NUGET, PYPI, AND NPM ECOSYSTEMS ]]>
<![CDATA[Raiffaza, Naufal Dzakia]]>;
<![CDATA[Nugroho, Yusuf Sulistyo]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2143
<![CDATA[Open-source software (OSS) projects have taken the software development industry rapidly by encouraging cooperation, creativity, and knowledge exchange. However, despite the widespread adoption and success of OSS, there is limited understanding of how contributions are distributed across different types of activities, such as code, documentation, and issue triage, and how these contributions vary over time within different OSS ecosystems. This gap in knowledge can impact effective project management and community engagement strategies. To address this problem, we aim to look into the patterns of developer contributions within the three main OSS ecosystems hosted on GitHub, namely NuGet, PyPI, and NPM. We examine the distribution of type-based contribution and the trends of developer activities within these ecosystems. We classify contributions into code, documentation, and issue triage using a mixed-methods approach that combines content analysis and time-series analysis, and we analyze the timeline variations in contribution trends. Our results show differences in pull request activity and developer contribution patterns between ecosystems. The ‘npm-expansion’ repository leads in open pull requests, while the ‘warehouse’ repository in PyPI dominates closed pull requests. The NPM ecosystem shows the highest number of activities when it comes to open pull requests. Notable peaks can be seen in trends in code development and maintenance activities, indicating the changing priorities of various projects. The findings shed light on the changes of OSS contributions and highlight the value of varied roles and ongoing community involvement. The comprehension of contribution patterns in open-source software projects is improved by this study, which also provides guidance for project management, resource allocation, and community support strategies. The knowledge acquired can direct the creation of instruments and systems that support more cooperative and productive open-source software ecosystems.]]>
<![CDATA[LOBSTER AGE DETECTION USING DIGITAL VIDEO-BASED YOLO V8 ALGORITHM ]]>
<![CDATA[Nusman, Bayu]]>;
<![CDATA[Rahman, Aviv Yuniar]]>;
<![CDATA[Putera, Rangga Pahlevi]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2024.5.4.2144
<![CDATA[Lobster is an aquatic animal that has high economic value in the fishing industry. Demand for lobster in both domestic and export markets continues to increase thanks to its delicious meat and a variety of desirable dishes. Indonesia, especially Java Island, contributes significantly to the national lobster production. However, the current manual determination of lobster age has limitations such as complexity, time required, and subjectivity in assessment.To overcome this problem, this research proposes the detection of lobster age using the YOLO (You Only Look Once) method, specifically the YOLOv8 version. This algorithm is known to be able to perform image and video recognition quickly and produce high accuracy. YOLOv8 can be run using a GPU, enabling parallel operations that significantly increase the speed of object detection compared to using a CPU alone. The data processing in this study involves several stages, starting from pre-processing in the form of image extraction and bounding from lobster videos. Next, the YOLOv8 algorithm was used to train the model with customized grid and bounding box parameters. The trained model is then validated and tested using lobster image and video data. The results of the test show that the developed YOLOv8 model has a precision of 0.997, recall of 0.998, mAP50 of 0.995, and mAP50-95 of 0.971. This shows that the model is able to detect and determine the age of the lobster with very high accuracy, providing a more efficient and objective solution than the manual method.]]>
