International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
FOCUS AND SCOPE INJIISCOM cover all topics under the fields of Computer Engineering, Information system, and Informatics. Informatics and Information system IT Audit Software Engineering Big Data and Data Mining Internet Of Thing (IoT) Game Development IT Management Computer Network and Security Mobile Computing Security For Mobile Decision Support System Web and Cloud Computing Accounting Information system Electrical and Computer Engineering Sensors and Trandusers Signal, Image, Audio and Video processing Communication and Networking Robotic, Control and Automation Fuzzy and Neural System Artificial Intelligent
Articles
119 Documents
<![CDATA[Information and Communication Technology Utilization for Managerial Planning Among Educational Administrators in Secondary Schools in Ilorin Metropolis ]]>
<![CDATA[Olalekan BOLAJI, Hammed]]>;
<![CDATA[BOLAJI, Tajudeen Oluwafemi]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 2 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i2.8747
<![CDATA[This study examines how secondary school administrators in the Ilorin Metropolis use ICT for managerial planning. The principal must effectively and efficiently organize, manage, and supervise the school's business for them to run successfully. This study's design is a survey-style descriptive study to determine how ICT affects principals' administrative performance. The population of this study consisted of 292 participants from all 75 public secondary schools in the Ilorin Metropolis. The instrument for data collection was a structured questionnaire titled "Information Communication Technology and Principal's Administrative Effectiveness Questionnaire" (ICTPAEQ) while reliability coefficient values of 0.85 were obtained. The data gathered from the field was evaluated using pertinent descriptive statistics such as percentages, mean, and standard deviation, while research question 4 was addressed using Pearson Production Moment Correlation (PPMC) statistics. This finding may be explained by the fact that most schools lacked these ICT resources, which may have contributed to the finding. This finding revealed that secondary school principals do better administratively the more they use ICT resources. This further implies that secondary school management effectiveness may be in danger in the absence of ICT. This implied that ICT is a crucial factor in the efficient administration of secondary schools. Based on the findings of this study, the following recommendations were made for secondary school administrators to become more proficient and use ICT technologies to enhance training for school administrators who are not yet ICT proficient.]]>
<![CDATA[Phishing Website Detection Using Several Machine Learning Algorithms: A Review Paper ]]>
<![CDATA[Veach, Alexander M.]]>;
<![CDATA[Abualkibash, Munther]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 2 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i2.8805
<![CDATA[Phishing is one of the major web social engineering attacks. This has led to demand for a better way to predict and stop them in a commercial environment. This paper seeks to understand the research done in the field and analyse the next steps forward. This is done by focusing on what goes into the selection of proper features, from manual selection to the use of Genetic Algorithms such as ADABoost and MultiBoost. Then a look into the classifiers in use, Neural Networks and Ensemble algorithms which were prominent alongside some novel approaches. This information is then processed into a framework for cloud-based and client-based phishing website detection, alongside suggestions for possible future research and experiments that could help progress the field.]]>
<![CDATA[Log Monitoring System using Quick Response (QR) Code: A State University’s COVID – 19 Contact Tracing System ]]>
<![CDATA[Paculaba, Anna Monica Cruz]]>;
<![CDATA[S. Bathan, Mark Angelo]]>;
<![CDATA[Niego, Erickson L.]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 2 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i2.9037
<![CDATA[Contact tracing is the technique employed by public health units and the national close contact service to track down persons who may have been exposed to COVID-19 by interaction with a suspect, confirmed, or probable case during their infectious period. This study focused on the development of a Log Monitoring System Using Quick Response (QR) Code in Samar State University as an institution’s tracing system for COVID – 19 preventions. The study was designed as a tool for managing the everyday logs of the employees, students, and visitors to track down the person who is in close contact to a COVID – 19 positives. The waterfall model was used in developing the system and descriptive research design was used to determine the effectiveness of the system along with functionality, reliability, usability, efficiency, maintainability, and portability. The participants of the study were the employees, students, and visitors of SSU. Each participant has given an ISO 9126 quality standard questionnaire for the evaluation of the effectiveness of the system. The result revealed that using the system, the conduct of contact tracing of the possible COVID – 19 suspected individuals was done easily and with reliability.]]>
<![CDATA[ICT-Based Literacy Evaluation in Nigeria Educational Sector: Case Study in Kwara State ]]>
<![CDATA[Olalekan BOLAJI, Hammed]]>;
<![CDATA[Bilikis IBRAHIM-RAJI, Tinuke]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 1 (2023): INJIISCOM: VOLUME 4, ISSUE 1, JUNE 2023 ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v4i1.9274
<![CDATA[ICT is now a necessity for both professionals and organizations due to its pervasiveness across all fields of human endeavour. The literacy skills level plays a major role in its application for routine responsibilities and the pace at which task is complemented. For efficient service delivery in the public service, this study evaluated the ICT literacy abilities and their application among the staff of education agencies. It used a descriptive cross-sectional survey design. Structured items on the ICT skills assessment and utilization questionnaire (ICTSAUQ) were administered to fifty staff using convenient sampling techniques. To respond to the research questions posed by this study, descriptive and inferential statistics were used. The question was addressed using percentage means and standard deviations, and the questions were analysed using a t-test. The results showed that having a basic understanding of ICT helps do administrative tasks daily. However, the staff of the education agencies lacked the necessities for their daily routine of managerial responsibilities and operations. Hence, it was suggested that staff of the Education Agencies in Kwara State must be exposed to the required ICT skills to perform the routine functions at the optimal level. Additionally, it was suggested that agency staff members be encouraged to consistently improve their ICT literacy abilities through self-training and group work to improve the competence of service delivery in the educational sector]]>
<![CDATA[Combination of Technology Acceptance Model and Decision-making Process to Study Retentive Consumer Behavior on Online Shopping ]]>
<![CDATA[Rudini, Edwin]]>;
<![CDATA[Riana, Dwiza]]>;
<![CDATA[Hadianti, Sri]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 1 (2023): INJIISCOM: VOLUME 4, ISSUE 1, JUNE 2023 ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v4i1.9414
<![CDATA[During the spread of the Covid-19 virus, generally the Indonesian people began to switch from conventional markets to buying and selling goods and services online with various features and conveniences offered to users. The purpose of this study is to find out the extent to which indicators of satisfaction and trust influence consumer attitudes and behavior when deciding to make transactions at online shops. The study method uses a combination of TAM (Theory Acceptance Model) and DMP (Decision Making Process) models using a sampling of 110 student respondents and the public who have made transactions in online shops. Data analysis using SEM (Structural Equation Modeling) theory. The results showed that satisfaction and trust will influence consumers in shaping.]]>
<![CDATA[Coffee Tree Detection Using Convolutional Neural Network ]]>
<![CDATA[Hasan, Ahmad Abdulsalam Naji]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 2 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i2.9504
<![CDATA[Identifying plants is an important field in the environment because of their roles in the continuation of human existence. Finding a plant by using the traditional methods such as looking at its physical properties is a burdensome task. Thus, several computational-based methods have been introduced for detecting trees. In this study we constructed the coffee tree dataset due there is no publicly available coffee tree dataset for detection and classification of the coffee tree in orchard environments for what this tree has a role in health, industrial and agricultural fields, and raising the wheel of economic development. Many machine learning algorithms have been used to detect and classify trees which resulted in reliable results. In this study, we presented a deep learning-based approach, in particular a convolutional neural network, for coffee tree detection and classification. The current study focused on providing a dataset for the detection and classification of coffee trees and improving the efficiency of the algorithm used in the detection and classification model. This study achieved the best results, the proposed system achieved an accuracy of 0.97%.]]>
<![CDATA[Computational Thinking: The Essential Skill for being Successful in Knowledge Science Research ]]>
<![CDATA[Bachtiar, Adam Mukharil]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 1 (2023): INJIISCOM: VOLUME 4, ISSUE 1, JUNE 2023 ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v4i1.9558
<![CDATA[The VUCA world concept was established in 2016 as the new challenge universe in the 21st century. Humans live in Society 5.0 and the VUCA world simultaneously. The digital word has been a noisy word since then. There are a lot of requisite skills to be a survival kit for this kind of era. The VUCA world's affection is spreading in the way of thinking and creating innovation, especially in the research domain. As a newcomer, Knowledge Science should state the requisite skills for its researchers to conduct their research successfully. Many researchers offered computational thinking as a candidate for an essential skill to satisfy the effect of the VUCA world. This study was focused on conducting a descriptive analysis method based on several literature reviews for mapping how computational thinking can serve as a best practice for Knowledge Science research. This study successfully revealed the connection between Computational Thinking.]]>
<![CDATA[Intention to adopt Cloud-based e-Learning in Nigerian Educational Institutions ]]>
<![CDATA[Tom, A M]]>;
<![CDATA[Virgiyanti, W]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 2 (2022): International Journal of Informatics, Information System and Computer Engineeri ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v3i2.9563
<![CDATA[Institutions of higher education must utilize innovative information and communication technologies for teaching in Nigeria. Thus, cloud-based e-Learning is essential to curtail educational challenges such as limited infrastructure, funds, and student-to-lecturer ratio. Recently, there has been widespread enthusiasm regarding Cloud computing for e-Learning; adopting and strategically utilizing these technologies remains a significant challenge for higher education institutions. Furthermore, there is a limited understanding of how cloud-based e-learning can transform Nigerian educational establishments. Cloud-based e-Learning systems' technological components have been the subject of numerous study studies, but little is known about how they operate from an organizational perspective. Accordingly, using the Technology-Organization-Environment theory, the goal of this study is to investigate the variables that influence the adoption of cloud-based e-learning. The findings of the research show that relative benefit and competing pressure have a big impact on whether cloud-based e-learning is adopted. However, compatibility, security, and top management commitment do not appear to be significant determinants. These findings will help Nigerian education institutions, the ministry of education, and practitioners to understand the critical factors for adopting this technology for improved education.]]>
<![CDATA[A Computational Bibliometric Analysis of Esport Management using VOSviewer ]]>
<![CDATA[Ginting, Selvia Lorena Br]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 1 (2023): INJIISCOM: VOLUME 4, ISSUE 1, JUNE 2023 ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v4i1.9570
<![CDATA[The project aims to combine visualization study with VOSviewer and Publish or Perish software to conduct a computerized bibliometric analysis of the phrase "Esports Management." The method used descriptive-quantitative approach in conjunction with bibliometric analysis. The data was obtained from the Google Scholar search results for "Esports Management." There were 999 articles published between 2017 and 2021, with an increase each year except for 2021 to 2022. This may be demonstrated in 2017 with 58 articles, in 2018 with 92 pieces, in 2019 with 160 articles, in 2020 with 242 articles, and in 2021 with a huge rise to 335 articles. In 2022, however, the number of articles had significantly decreased to 64. Based on further findings of this research, it can be concluded that there are several understudied sectors in Esports Management that may be examined further to increase the efficacy of Management in Esports. It is anticipated that this research will also serve as an example for further studies in defining and evaluating the research subject, as well as for the Esports participants' management team.]]>
<![CDATA[A Computational Bibliometric Analysis of Game Advertising using VOSviewer ]]>
<![CDATA[Ginting, Yogie Rinaldy]]>
<![CDATA[ International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 1 (2023): INJIISCOM: VOLUME 4, ISSUE 1, JUNE 2023 ]]>
Publisher : <![CDATA[Universitas Komputer Indonesia ]]>
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DOI: 10.34010/injiiscom.v4i1.9571
<![CDATA[The purpose of this study is to perform a computational bibliometric analysis of the Term “Game advertising” by combining mapping analysis using VOSviewer Publish or Perish software, and Google Schoolar. The method used is a bibliometric and descriptive quantitative approach. The data obtained is a search result based on the keyword "Game Advertising" on Google Scholar. The search results show 989 articles published from 2017 to 2022 decreasing every year except in 2021. This can be proven in 2017 with 232 articles, in 2018 it decreased to 210 articles, in 2019 it decreased again to 199 articles. In 2020 it decreased to 136 articles, except for in 2021 there was a less significant increase to 137 articles, and in 2022 research on Game Advertising decreased dramatically, the number of publications to 40. The conclusion of this study shows the importance of conducting bibliometric analysis, especially in advertising games field. This research is expected to be a reference for further research in determining and analyzing the research theme.]]>
