Journal of Information Systems and Informatics (Journal-ISI)
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EnsembleForge: A Comprehensive Framework for Simplified Training and Deployment of Stacked Ensemble Models in Classification Tasks
In this work, we introduce EnsembleForge, a versatile framework designed to streamline machine learning experimentation and simplify classification tasks. Leveraging the stacking ensemble method, EnsembleForge offers an intuitive platform built upon the Scikit-learn library. This framework facilitates seamless model implementation and evaluation, supporting both Randomized and Grid Search for hyperparameter optimization. Our experiments with publicly available datasets demonstrate the ease of use and effectiveness of EnsembleForge in experimenting with various algorithms. With its adaptability and innovation, EnsembleForge showcases promising potential to serve as an asset for researchers and practitioners seeking to achieve optimal model performance in their machine learning endeavors
Change Management Model for Effective Use of Examination Administration System: Developing Country Case Study
There is inadequate knowledge on change management model (CMM) for post-acceptance phase of information systems. This paper intends to determine and model change management factors (CMFs) that explain effective use of Examination Administration System (EAS) in South Africa. A survey was used to collect data from 215 EAS users in Technical and Vocational Education and Training colleges and was analyzed quantitatively. Empirical results evince existence of casual nexuses between user involvement and change recognition, user satisfaction, performance measurement with use of EAS which through EAS adaptive use (EAU) in turn together with EAS verification, user learning representational fidelity and informed actions influence effective use of EAS. This study results add to literature by explaining the indirect mechanisms (i.e., EAS and EAU) through which the CMFs can influence effective use. This paper also offers a novel integration of Effective Use Theory and Unified Theory of Acceptance and Use of Technology with three CMFs which provides a holistic model. This study recommends that various communities endeavour to use CMM as a guide to influence user communities to effectively use information systems in diverse contexts. The model also has potential to drive improved return on investments and enhance employees’ productivity
An Integrated Framework for Controllers Placement and Security in Software-Defined Networks Ecosystem
In the evolving landscape of Software-Defined Networking (SDN), the strategic placement of controllers poses a critical challenge that necessitate a precise balance between network performance and security. This paper presents an integrated framework for enhancing security and performance in SDN by combining controller placement and intrusion detection systems (IDS). Unlike existing solutions which were implemented disjointedly, we propose a holistic approach that leverages the proximity of controllers to network traffic for real-time threat detection, rapid response, and mitigation of security attacks. We employ an advanced clustering model for optimal controller placement, reducing costs and latency while ensuring reliability and balanced loads. In addition, we utilize k-nearest neighbour (KNN) for efficient anomaly detection in our IDS for improved network security. Experimental results confirm the framework’s effectiveness in strengthening SDN security and resilience. The enhanced-DBSCAN-based CPP model significantly minimized the cost, and latency, and ensured continuous operation in dynamic SDN environments while the KNN-based IDS shows effectiveness in improving threat detection capabilities, achieving high detection accuracy of 100% on the LAN dataset, outperforming other machine learning models such as Random Forest and Naïve Bayes. The indication is that strategic controller deployment, in conjunction with IDS, can significantly bolster threat detection, response times, and the overall security stance of the SDN environment
Analysis of Digital Marketing Strategy Based on SOSTAC Method
PT Kana Bali Nature is a retail company of beauty and body care products in Denpasar, Bali, which has problems with decreased brand awareness and cost overruns due to suboptimal digital marketing implementation. This research aims to analyze and implement a thorough and comprehensive digital marketing strategy using the SOSTAC method which is flexible and effective enough to be used. The SOSTAC method includes situation analysis, setting 5S objectives and SMART Goals, STP Strategy, 7P Marketing Mix Tactic, Action, and Control with KPI metrics. The results of the 3-month research show that the digital marketing strategy carried out at PT Kana Bali Nature is quite effective. The majority of KPI indicators in each aspect managed to achieve targets such as an increase in revenue of up to 55.6% even though several other indicators were still declining. Suggestions and recommendations are given to maximize the company's future strategy.
Keywords: Digital Marketing, SOSTAC method, marketing strategy, retail compan
COBIT 2019 Framework: Evaluating Knowledge and Quality Management Capabilities in a Printing Machine Distributor
Within the realm of printing machine distribution, information technology assumes a critical role in streamlining business operations. This study addresses persistent challenges related to inaccurate inventory data and insufficient knowledge management in IT applications. Utilizing the COBIT 2019 framework to assess IT governance capability, qualitative data was collected through interviews to uncover prevailing issues. The findings underscore specific process objectives—APO11 (Managed Quality), BAI08 (Managed Knowledge), and DSS06 (Managed Business Process Controls)—highlighting the need for improved capability levels. For example, APO11 currently resides at level 3 while aiming for level 4, indicating a one-level discrepancy. Similarly, BAI08 and DSS06 are at level 2, signaling a collective two-level gap. Proposed enhancements center on bolstering IT knowledge management and procedural training to meet quality standards in future IT applications. These measures aim to strengthen organizations, aligning IT practices with business processes to ensure heightened quality and efficiency. Notably, this abstract intentionally omits explicit mention of the evaluated IT process, adhering to the specified guideline
Identification and Modeling of SI-LAUT: Information System for Indonesian Maritime Resources Using Penta-Helix Model
Indonesia, as a country predominantly surrounded by the sea, holds significant potential in marine resources, fisheries, and other maritime fields. However, there is still a lack of awareness and understanding among the Indonesian population regarding these maritime aspects. Currently, there are various media and information sources related to this topic, ranging from websites and applications to supporting information systems. Nevertheless, users often struggle to find and comprehend this information easily and comprehensively. Existing information systems tend to be fragmented or operate independently, leaving many laypeople unable to fully optimize the existing potential. To address this, researchers aim to identify and model a comprehensive and integrated information system focused on marine and other maritime resources, known as SI-LAUT The research method employed in this study consists of literature review, stakeholder identification based on the Penta-Helix model, analysis of the existing system, and gap analysis in comparison to previous research that focused on the implementation of other maritime and marine information systems. The results of this research consists of a recommendation for an information system development model that can assist various stakeholders based on the Penta-Helix Model. These stakeholders include government bodies, entrepreneurs, academics, as well as the general public or other communities. The goal is to optimize the management and utilization of Indonesia’s marine resources, ultimately positioning it as a global maritime powerhouse
The Future of Things: A Comprehensive Overview of Internet of Things History, Definitions, Technologies, Architectures, Communication and beyond
This paper explores the multifaceted world of IoT, exploring its historical evolution, core definitions, enabling technologies, architectural considerations, communication models and future predictions. Moreover, the paper critically scrutinises the potential benefits and challenges associated with IoT adoption. This study employed a systematic literature review (SLR) methodology to review existing literature between January 2020 and January 2024 on IoT technology. 20 relevant studies out of an initial pool of 45,312 studies were reviewed. The study followed the established Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework to ensure a rigorous and unbiased selection process. Findings revealed the lack of a universally accepted definition for IoT and significant variations in architectural models across scholarly works. Moreover, the study acknowledges the complex and ever-evolving nature of IoT technology, recognising its early stages of development. This dynamic technological landscape calls for continuous exploration of future research. Findings will provide valuable insights for academics, researchers, and industry professionals interested in the understanding the intricate technical landscape of IoT and its development. Moreover, by providing insights into growth predictions, benefits, and existing challenges, this will empower stakeholders to navigate the evolving IoT landscape and contribute to its future progress
Sentiment Analysis of X (Twitter) Comments on The Influence of South Korean Culture in Indonesia
Hallyu or Korean wave refers to the phenomenon of South Korean values and culture spreading to other countries, ultimately influencing global culture. South Korean culture, such as K-pop music, dramas, films, fashion, food, and lifestyle, has gained popularity in Indonesia since 2002. Because South Korean culture influences many aspects of life in Indonesia, responses to this Korean wave are widely discussed in social media, especially through X (Twitter) ranging from positive sentiment to negative sentiment. To gain a more in-depth and detailed understanding of public opinion, a classification process was conducted on the social media platform X (Twitter) using a deep learning algorithm based on the CNN method. The results of this classification provide more accurate and informative insight into the attitudes, opinions, and reactions of the Indonesian people towards the influence of South Korean culture in this country. The research was conducted using 717,998 tweet data resulting in an accuracy of 79%
A Mobile-Based Network Tools Information System to Enhanced Connectivity and Security
This paper addresses the common challenges faced by network administrators in managing and troubleshooting network issues. Traditional desktop-based network management tools often restrict mobility and responsiveness, hindering the ability to address network problems promptly. To address these limitations, this study presents the development of a mobile-based network tools information system. The proposed solution integrates various network management functionalities into a mobile application, enabling administrators to monitor, diagnose, and resolve network issues remotely. Employing a design and implementation approach, the research includes user requirements analysis, system design, and rigorous testing. Results show significant improvements in response times and diagnostic accuracy. User feedback highlights high satisfaction with the system's functionality and ease of use. Overall, the mobile-based network tools information system offers a versatile and effective solution for network management, enhancing operational efficiency and responsiveness in diverse network environments
Unveiling Indonesia's New Capital: A Digital Content Analysis of Tourism Narratives
This research investigates the role of digital narratives in promoting emerging destinations, with a focus on Indonesia's new capital (IKN). Utilizing the Digital Content Reviews and Analysis Framework, this study analyzed 248 digital posts, including social media posts and videos, to evaluate the effectiveness of tourism strategies that emphasize authentic cultural elements and unique regional attractions. The findings demonstrate that strategically crafted digital content significantly increases public awareness and interest in IKN. The analysis of 194 posts, through sentiment classification and toxicity scoring, reveals a predominantly positive public discourse, with an average toxicity score of 0.05541 and a maximum score of 0.90611. The sentiment classification model exhibited high accuracy (97.46% ± 3.00%) and precision (96.78% ± 4.17%), with a micro-average accuracy of 97.48%, and a notable AUC score of up to 0.999, indicating robust differentiation between positive and negative sentiments. These results underscore the practical implications of leveraging digital media to enhance tourism promotion strategies, suggesting that effective digital narratives, supported by comprehensive analytical frameworks and minimal toxicity, are crucial for converting interest into actual tourism activity. This approach positions IKN as a competitive entity in the global tourism market, emphasizing the importance of digital narratives in shaping international perceptions of new destinations