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JOIV : International Journal on Informatics Visualization
Published by Politeknik Negeri Padang
ISSN : 25499610     EISSN : 25499904     DOI : -
Core Subject : Science,
Computer Science & IT
JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JOIV follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : -
Articles 1,172 Documents
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Prediction of Cross-Platform and Native Apps Technology Opportunities for Beginner Developers Using C 4.5 and Naive Bayes Algorithms Gunawan, Wawan; Wiradiputra, Raychal Ababil; Puspita Sari, Anggi; Prayama, Deddy; Rikardo Nainggolan, Esron
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1514

Abstract

The competition between native and cross-platform app development makes application development simpler, safer, and more scalable. However, developers must have sufficient fundamentals, and the industry must conduct good research to shorten development time and minimize expenses. In order to solve these problems, this study made a prediction that discusses the technology that has a chance to survive in the industry so as not to be left behind in technology. Using Naïve Bayes and C 4.5 algorithms into a dataset with nine programming languages related to mobile app development. Results obtained in This research show Dart as a programming language that supports cross-platform frameworks and Kotlin as a programming language that supports native app frameworks is a technology that would have the opportunity in the future with an accuracy level above 90% with Naïve Bayes and C 4.5 algorithms. These results are obtained by testing an algorithm model using MAPE, consistent dataset sharing, and careful data processing. This research Can help entry-level developers learn and deepen the fundamentals of technology and can add knowledge to the industry in choosing a technology.
Application Development Model E-Commerce in Traditional Markets Using the TOGAF Framework Irawan, Bei Harira; Prihadi, Deddy; Rahmatika, Dien Noviany; Nugroho, Catur; Waskita, Jaka; Meyrawati A, Octania
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2388

Abstract

The existence of traditional markets is increasingly being eroded by the presence of online market models that already utilize various e-commerce platforms. However, the TOGAF Framework provides a ray of hope. Even though the existence of traditional markets is unlikely to disappear, if traders in traditional markets do not try to adapt to using e-commerce, it will have an impact on losing customers, losing turnover, and will even affect the acceleration of their business. Architectural design for system development in traditional market activities can provide an important picture of how to advance traditional market industries that will not be out of competition with modern markets. TOGAF (The Open Group Architecture Framework) provides a detailed method of how patterns build, manage, and implement enterprise architecture and information systems called the Architecture Development Method. Analysis using the TOGAF Framework provides an overview of how to plan, design, develop and implement information system architectures for traditional markets. The results of this design analysis are an information technology architectural design which is the basis for traditional market managers, especially in Indonesia, in advancing the business processes of traders in the market so that they are not unable to compete with modern markets but with gap analysis constraints that must really be considered with regard to internet infrastructure problems in the market, sellers who are not fully able to use technology due to age and not all forms of goods on the market can be sold through e-commerce platforms. This gap analysis will make e-commerce implementation slow to implement.
Smart Room System for Paralysis Patients with Mindwave EEG Sensor Control Anandika, Arrya; Ferdian, Rian; Eriyandha, Alivia; Suwandi, Rifki; Hafidz, Muhammad
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1745

Abstract

Persons with disabilities experience physical, intellectual, mental, or sensory difficulties. One type of disability is paralysis. Paralysis is a condition where there is interference with the nerves that control body movement, causing the limbs to be unable to move. Paralyzed people will find it difficult to move without the help of others. Therefore, research was carried out by creating an intelligent room system to help persons with disabilities manage their own rooms so that they do not always have to be accompanied by a nurse. Paralyzed people can turn lights or fans on and off, and send help messages to their carers via the Telegram bot. This study used the NeuroSky Mindwave EEG headset which detects the user's brain signals with outputs in the form of attention level, relaxation level (meditation), and blink strength level. The resulting signal is processed via a PC and sent via NodeMCU to give commands in the form of turning lights and fans on or off, as well as sending messages to nurses. From this research a system was produced that could turn on the lights based on the value of Attention ≥ 70, turn on the fan based on the Meditation value ≥ 74, then the value of BlinkStrength ≥ 81 which was counted 2 times to turn off the lights, 3 times to turn off the fan, 4 times to turn off the lights and fan, and more than 4 times sending help messages
Optimization of General Threshold Value for Preprocessing in Plasmodium Parasites Detection Nugroho, Hanung Adi; Nurfauzi, Rizki
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1285

Abstract

The high mortality rate of malaria makes it a severe disease that spreads throughout all-region by infected female Anopheles mosquitoes, especially in tropical countries. Accurate early malaria detection is one of the ways to reduce the mortality rate. Microscopy-based malaria examinations are still considered the gold standard. Due to numerous large malaria patients with limited parasitologists, an automated detection system is needed as a second opinion to assist parasitologists. This study proposed an optimization method for finding an optimal global threshold value for pre-processing parasite detection. There were three stages of the proposed method. The first is to pre-process digital microscopic images using color channel selection, contrast stretching, and morphological operation. The second is to find the global threshold value using multiple modified Otsu’s. The third is to determine the optimum global threshold value. In the last stage, predicted threshold values are generated using a pattern recognition approach to determine the optimum global threshold value. The proposed method evaluated 468 microscopic images captured from hundreds of thin smear blood slides. The slides are provided by the Department of Parasitology-UGM and the Eijkman Institute for Molecular Biology. The set image contains 691 malaria parasites in all types and life stages of malaria parasites. The proposed method obtained a sensitivity of 99.6 % and the smallest FPs number compared to without the optimization.  It indicates that the proposed method has the potential to be implemented in the initial stages of the malaria detection system.
UI/UX Redesign of SH-UPI App Using Design Thinking Framework Fuada, Syifaul; Setyowati, Endah; Restyasari, Nissa; Heong, Yee Mei; Hasugian, Leonardi Paris
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2094

Abstract

The rise of smart home technology has significantly impacted people’s behavior and lifestyle, especially when controlling household electronics remotely. Smart homes have become increasingly commoditized in the last decades, resulting in several vendors offering various commercial products and their variants. Universitas Pendidikan Indonesia (UPI) has created the smart home platform “SH-UPI,” which includes the Smart LED Bulb RGB. The platform’s mobile app can be downloaded from the Play Store or the official website (www.sh-upi.com). The SH-UPI is one of Indonesia's leading smart homes that adopted Internet-of-Things (IoT). However, customers have reported issues with the app’s user interface (UI) and user experience (UX), prompting a redesign to address these concerns and stay competitive. This study employs the design thinking method of empathizing, defining, imagining, prototyping, and testing. The define stage to prototype stage resulted in a newly designed prototype for the SH-UPI app. Testing involved evaluating the prototype using metrics like the User Experience Questionnaire (UEQ) and System Usability Scale (SUS). The test results showed an increase in the UEQ parameter value, exceeding the initial average scores of -0.8 to 0.8. Additionally, there was an improvement compared to benchmark scores, which initially ranged from below average to poor but now range from above average to excellent. The SUS score also improved, rising from 59.75 (grade D) to 83.625 (grade A). The findings of this study can be a valuable resource for developing SH-UPI apps with significantly enhanced UI/UX.
Analyzing The Impact of Project-Based Learning STEAM Flipped Classroom on Computer Architecture and Organization Courses in Higher Education Ekayana, Anak Agung Gde; Parwati, Ni Nyoman; Agustini, Ketut; Ratnaya, I Gede
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2540

Abstract

This study examines the differences in students' creative thinking skills between the project-based learning STEAM Flipped Classroom and the direct learning STEAM Flipped Classroom model by paying attention to the role of academic self-efficacy as a moderator variable. The research population consists of students in informatics engineering study programs in the Denpasar area of Bali. The study used a quasi-experimental 2 x 2 factorial design. Data collection is carried out through questionnaires and test instruments. Data analysis used descriptive and inferential statistics, as well as analysis of covariance. The results showed a significant difference in students' creative thinking skills between those who learned with the STEAM Flipped Classroom project learning model and the STEAM Flipped Classroom direct learning model. In addition, there are differences in students' creative thinking skills based on the level of academic self-efficacy. The empirical application of the STEAM Flipped Classroom project model is proven to help students generate new ideas, develop ideas, and improve their thinking skills. However, the findings suggest that flexible thinking skills must be further enhanced. Students with high self-efficacy tend to be more proactive in providing constructive ideas in project-based learning activities. This research implies that it is necessary to actively motivate and share experiential stories with students who have low self-efficacy. In the future, I suggest that universities adopt the innovative learning model of project-based learning STEAM flipped Classroom to improve the creative thinking skills of informatics engineering students at the college level.
Wireless Volume Corrector for Natural Gas Flow Metering Using ESP32 Microcontroller and Open-Source Web Server Handaja, Suka; Dewi, Astrie Kusuma; Triyanto, Roni Heru
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2160

Abstract

The measurement of gas flow in energy transactions from an energy-producing company to an energy user is essential to evaluate, considering that measurement errors can accumulate, and losses can occur, which will be ongoing. The gas measurement process begins with measuring pressure and temperature parameters and the gas flow volume transacted. Then, the measured gas volume will be converted into a standard volume as the basis for gas buying and selling transactions (custody). This article conveys that a wireless volume corrector has been designed using the ESP32 microcontroller with Wi-Fi communication that can be integrated with the internet to support automatic meter reading systems. The measured data is collected in a database server using XAMPP, an open-system web server. Data stored on the database server is displayed via a web browser with a display of the last 5 data entered the web server. The web browser display is refreshed every second so that the display on the web browser is a live or online display. This research resulted in temperature, pressure, actual flow, and volume standard measurements with an error below 0.1%, which met the metrology requirements, instilling confidence in the system's reliability. This research proves that realizing a volume corrector with IoT technology can be done cheaply.
Classification of Human Concentration Levels Based on Electroencephalography Signals Siregar, Baihaqi; Florence, Grace; Seniman, Seniman; Fahmi, Fahmi; Mubarakah, Naemah
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2045

Abstract

Concentration denotes the capability to direct one's attention to a specific subject matter. Presently, within the era characterized by an overwhelming abundance of information inundating human existence, distractions frequently impede human concentration, thereby influencing the depth of knowledge acquisition. Various elements contribute to the decline in human concentration, including diminished metabolic states, inadequate sleep, and engaging in multiple tasks simultaneously. The cognitive state of an individual during the process of thinking can be assessed through the analysis of electroencephalography signals. The primary objective of this investigation is to facilitate experts' interpretation of electroencephalography signal outcomes for categorizing concentration levels. The dataset utilized in this examination comprises unprocessed EEG data obtained from observing individuals in both relaxation and concentration states. After data preprocessing, feature extraction is executed, and classification is performed using the Support Vector Machine technique. The outcome of this study reveals an accuracy rate of 84%. These developments allow for continual monitoring of brain function, an enhanced comprehension of cerebral activities, and increased operational efficacy of end-effectors. The implications of these advancements on prospective research opportunities are evident in the potential for more accurate diagnosis of neurological disorders and the progression of sophisticated BCI applications designed to support healthcare and monitor cognitive states. The evolution of EEG technology is paving the way for novel research pathways in neuroscience and human-computer interaction.
A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges Ghani, Naveed; Bakar Sajak, Aznida Abu; Qureshi, Rehan; Azril Zuhairi, Megat Farez; Ahmad Baidowi, Zaid Mujaiyid Putra
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2187

Abstract

The Internet of Things (IoT) has become an integral part of our daily lives, growing exponentially from a facility to a necessity. IoT has been utilized extensively through cloud computing and has proven an excellent technology for deploying in various fields. The data generated by the IoT devices gets transmitted to the cloud for processing and storage. However, with this approach, there are specific issues like latency, energy, computation resources availability, bandwidth, heterogeneity, storage, and network failure. To overcome these obstacles, fog computing is utilized as a middle tier. Fog computing gathers and processes the generated data closer to the user end before transmitting it to the cloud. This paper aims to conduct a structured review of the current state of fog computing and its architectures deployed across multiple industries. This paper also focuses on the implementation and critical parameters for introducing fog computing in IoT-cloud architecture. A detailed comparative analysis has been carried out for 5 different architectures considering various crucial parameters to identify how the quality of service and quality of experience for end users can be optimized. Finally, this paper looks at the multiple challenges that fog computing faces in a structured six-level approach. These challenges will also lead the way for future research in resource management, green computing, and security.
The Extension of the UTAUT2 Model: A Case Study of Indonesian SMEs Acceptance of Social Commerce Arista, Artika; Tjahjanto, Tjahjanto; Ernawati, Iin; Purabaya, Rudhy Ho; Abdullah, Engku Fadzli Hasan Syed
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1847

Abstract

An entirely updated e-commerce platform referred to as Social Commerce was developed in response to the rise in social media use. Social commerce integrates interactions between buyers and sellers made possible by social media platforms and Web 2.0 technology. It is frequently seen as a subfield of e-commerce. Social commerce has been successfully introduced in developing countries. Many businesses around the world are small and medium enterprises (SMEs). For instance, SMEs in Indonesia can contribute up to 60.34% of the country's GDP and have a substantial labor pool. Using social commerce as an e-commerce platform can significantly improve the operational efficiency of small and medium-sized enterprises (SMEs). However, little empirical research has specifically examined how SMEs embrace social commerce. Given the high level of concern, further research is required. Therefore, the current study experimentally examined how local SMEs in rural Indonesia introduced social commerce. The study was modeled using the Unified Theory of Technology Acceptance and Use (UTAUT) 2 model and several previous studies. SmartPLS 4 software was used to model and evaluate data using partial least squares structural equation modeling (PLS-SEM). The findings of the 114 samples showed that relative advantage, social support, facilitation conditions, and the government's support of social commerce influenced behavioral intention to use social commerce. Behavioral intention to use social commerce influences the actual use of social commerce. The findings of this study can help local governments and policymakers develop social trade promotion regulations to help potential SMEs and entrepreneurs gain long-term business support.

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