Journal of Information Systems and Informatics (Journal-ISI)
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Digital Innovation and Rapid Application Development: A New Approach to Staff and Lecturer Recruitment at University
Get PDFThe University encountered challenges with its manual recruitment processes, characterized by inefficient record-keeping, decreased productivity, and prolonged hiring periods. To address these issues, a recruitment application was developed using the Rapid Application Development (RAD) methodology, prioritizing swift iterations and comprehensive stakeholder involvement. We have implemented many features to improve the user experience for job seekers and employers. It includes sign-up and login options for both, CV uploading for job seekers, and the ability to view vacancies. Employers can also view and upload vacancies, delete them if needed, and schedule interviews through the system. Both job seekers and employers can easily edit their profiles and passwords, ensuring flexibility and usability throughout the recruitment process. Notably, User Acceptance Tests revealed high satisfaction levels among users, confirming the application's effectiveness in meeting their requirements and enhancing the overall recruitment experience. The application's user-centric design and agile development approach represent a substantial advancement in the University's recruitment practices
Detection of Inorganic Waste Using Convolutional Neural Network Method
Get PDFWaste, encompassing both domestic and industrial materials, presents a significant environmental challenge. Effectively managing waste requires accurate identification and classification. Convolutional Neural Networks (CNNs), particularly the Residual Network (ResNet) architecture, have shown promise in image classification tasks. This research aims to utilize ResNet to identify types of waste, contributing to more efficient waste management practices. The ResNet101 architecture, comprising 101 layers, is employed in this study for waste classification. The dataset consists of 2527 images categorized into six classes: Cardboard, Glass, Metal, Paper, Plastic, and Trash. The ResNet model is pre-trained, leveraging existing knowledge to enhance classification accuracy. The dataset is divided into training and testing sets to evaluate the model's performance. The testing results, evaluated using a Confusion Matrix, demonstrate strong performance in waste classification. The ResNet101 model achieves 92% accuracy in detecting inorganic waste objects within the training dataset and maintains a high accuracy of 90% on the testing dataset. This indicates the effectiveness of the ResNet architecture in accurately identifying various types of waste, contributing to improved waste management efforts. he utilization of ResNet101 for waste classification yields promising results, with high accuracy rates observed across both training and testing datasets. By effectively identifying types of waste, this approach facilitates more efficient waste management practices, enabling better resource allocation and environmental conservation. Further research and application of CNN architectures in waste management could lead to enhanced sustainability efforts and improved waste-handling strategies
Analyzing the Distribution of Health Workers in Semarang City Using K-Means Clustering Method
Get PDFThis research employed the K-Means Clustering method to examine the distribution of health workers in Semarang City, emphasizing their pivotal role in the public health infrastructure. Leveraging current data encompassing health worker locations and quantities, the clustering analysis discerned areas exhibiting similar distribution characteristics through the application of the K-Means technique. Quantitative analysis revealed distinct clusters, shedding light on the spatial patterns of health workforce dispersion within Semarang City. The study's quantitative findings furnish valuable insights crucial for formulating more efficacious health policies. By delineating the utility of the K-Means Clustering method in public health planning and providing quantitative evidence of health worker distribution, this research substantially augments geographical comprehension in the examined region
Usable Security of Online Banking Authentication: An Exploratory Factor Analysis
Get PDFThe usability and security of information system applications significantly affect the users willingness to adopt the applications; online banking is one such service. The emergence of innovative technologies in all facets of our daily activities makes usable security critical to protect users’ privacy and personal information. The paper aims to investigate the usability and security of the online banking authentication process. The study is based on users’ perceptions of the login system of their respective banks' online banking services, using the attitude questionnaire statements related to usability and security aspects of the authentication process. The paper presents the results of 1190 survey responses in South Africa. The findings show that younger and inexperienced users are not satisfied with the usability of online banking authentication systems as they scored the system very low compared to the older and experienced users. Given the prevalence of online security breaches, improving the authentication process' usability will help create a secure online environment
Information Technology Governance Analysis using COBIT 2019 Framework in Salatiga City Community and Civil Services
No full textInformation Technology (IT) is an important part of its value both in terms of investment and intangible potential for an organization in its operational life. The use of IT in government sector organizations, in order to provide services to the public, as well as managing government running mechanisms including interactions with citizens is known as E-Government. The essence of e-Government is efficiency, transparency, public participation and responsiveness of government institutions. The Salatiga City Community and Civil Services is one of the Salatiga city government agencies which is engaged in public services in the field of civil data collection, making IT a supporting component of constitutional management in improving the efficiency of work flows and processes in public services. In order to create efficiency and improve performance in the IT sector, good governance is needed, as well as decision making in the IT sector. Therefore, it requires evaluation and recommendations regarding governance and decision making in the IT sector. Based on this research, recommendations for 5 process domains are provided as a reference as an effort to improve the Information Technology Governance of the Salatiga City Community and Civil Services
Integrating ISO 27001 and Indonesia's Personal Data Protection Law for Data Protection Requirement Model
Get PDFThis research explores the integration of ISO/IEC 27001:2022 with Indonesia's Personal Data Protection (PDP) Law to establish a robust framework for data protection and information security within organizations operating in Indonesia. The research addresses the challenges of aligning the comprehensive information security management systems (ISMS) standard of ISO/IEC 27001:2022 with the specific legal requirements of the PDP Law, which governs personal data collection, processing, and protection. Employing the Action Design Research (ADR) methodology, the study involves a thorough review of existing literature, consultations with domain experts, and the development of a structured framework for integration. Key findings highlight the complementary nature of ISO/IEC 27001:2022's risk-based approach and the PDP Law's emphasis on data subject rights, consent management, and breach notification. The integration framework provides organizations with a unified approach to meet both international standards and local regulatory requirements, enhancing overall data protection. The research concludes with insights and recommendations for organizations seeking to navigate the complex landscape of data protection compliance, emphasizing the importance of harmonizing security measures with legal mandates to build a comprehensive and effective data protection strategy
Bibliometric Analysis of Data Analytics Techniques in Cloud Computing Resources Allocation
Get PDFCloud computing provides on-demand computing services over the Internet, allowing for quicker innovation, more flexible resources, and economies of scale while reducing the need for physical data centers and servers. With this benefit, most organizations are adopting this technology, and some organizations are also operating fully on cloud computing. This causes traffic to increase, and most of these organizations are struggling with resource allocation, resulting in complaints from users regarding inactive system performance, timeouts in applications, and higher bandwidth use during peak hours. In this regard, this study investigates data analytics techniques and tools for the allocation of resources in cloud computing. The study indexed journal articles from the Scopus Database and Web of Science (WOS) between 2010 and 2024. This article brings new insights into the analysis of data analytics techniques in Africa and collaborations with other developing countries. The findings present tools and approaches that may be used to allocate cloud computing resources and give recommendations
Article Recommendations with Item-Based Collaborative Filtering on Online News Portals
Get PDFNews portals generate additional traffic or traffic visits from the article recommendation widget. However, it is unfortunate that the traffic visits obtained from the widget are still relatively small. The article recommendation widget is rarely clicked by readers because the available recommended articles are less relevant to readers, resulting in one reader only reading no more than 2 articles obtained from the article recommendation widget. The purpose of this study is to further optimize the currently available article recommendation widget feature by adding reader interest data so that the number of articles read by one user will increase and will directly have an impact on increasing traffic visits. The method used in this study is Item Based Collaborative Filtering. After using the item-based filtering method by calculating the set of items x read and the duration of the reader's time in reading item x. In this study, a simulation was given to one of the reader samples and it was found that the highest interest of the reader sample was in reading sports news with a calculation score is 0.743210. The results of this study are article recommendations that match the reader's interests. The results of the study are expected to help users find articles that match their interests and preferences, so that they can increase the level of interaction and engagement with online media
Barriers to Business Process Innovation in Public Service Organizations
Get PDFThis study aims to identify the main barriers in implementing business process innovation in government organizations using the Systematic Literature Review (SLR) method. The barriers were categorized into four aspects: people, technology, structure, and process, in accordance with the Socio-Technical Theory approach. The results show that a lack of knowledge and training related to innovation, limited funding, and inadequate technological infrastructure are the dominant barriers. In addition, complex bureaucracy and lack of structured processes are also significant barriers. The research recommends a holistic approach that includes improved communication, training, technology investment, as well as bureaucratic reform to foster more effective innovation. The findings provide a basis for better policy-making and emphasize the importance of further research to understand and address barriers to innovation in different countries
Data Quality Analysis on Open Government Data Portals: A Qualitative Study Using ISO/IEC 25012:2008 Standards
Get PDFThis study evaluates the data quality on Open Government Data (OGD) portals using the ISO/IEC 25012:2008 standard, which categorizes data quality into two main groups: inherent data quality and system-dependent data quality. This standard encompasses dimensions such as accuracy, completeness, consistency, and relevance. Using a qualitative approach, interviews were conducted with data providers and users from the government, industry, and academia. The findings indicate that while some datasets are adequate, there are issues with semantic consistency, completeness, timeliness, and currency of the data. These findings highlight the importance of strict and continuous application of data quality standards in OGD management. Recommendations for improvement include training for data managers and enhancing validation mechanisms before data is published. This study supports government efforts to improve transparency and accountability by providing high-quality data that can be reliably used by various stakeholders