Aptikom Publisher (E-Journals)
Not a member yet
108 research outputs found
Sort by
Operating System and Server Integration for Business Effectiveness
Full text linkManagement Information Systems (MIS) have a crucial role in supporting the effectiveness of a company or agency. A strong MIS ensures optimal internal planning and control, involving people, documents, technology and procedures. The importance of MIS demands synergistic integration between the operating system and servers to manage hardware resources and store information efficiently. This research aims to explore the factors that influence SIM in the context of operating system and server integration. The focus is on understanding the impact of this integration on business effectiveness, particularly in terms of planning, control and data storage. Research reveals that the integration of operating systems and servers positively contributes to increasing SIM effectiveness. Harmonious cooperation between the operating system and servers encourages optimization of hardware resource management and information storage, supporting more efficient internal planning and control. These findings provide a new view regarding the importance of operating system and server integration in optimizing SIM. The implementation of this integration is expected to improve business performance through more accurate planning, tight control and efficient data storage. The novelty of this research lies in the integrative approach to operating systems and servers in the context of SIM. A deeper understanding of these relationships can provide practical guidance for companies to improve the effectiveness of their information systems
Analyzing Changes in Traditional Industries: Challenges and Opportunities in the E-commerce Era
Full text linkTechnological progress has rapidly revolutionized the global business sphere, with e-commerce emerging as a pivotal force in transforming traditional industries. This study undertakes a detailed bibliometric examination utilizing VOSviewer software to delve into the ramifications of e-commerce on conventional sectors and its role in global economic metamorphosis. Through identifying predominant keywords, notable publications, and collaborative research networks, the analysis underscores primary research trajectories. Notably, technology, innovation, education, knowledge, and investment emerge as pillars in navigating digital evolution. Furthermore, burgeoning areas like digital commerce, the circular economy, and blockchain present prospects for extended research. This study enhances our comprehension of the intricate shift traditional sectors undergo amidst the e-commerce surge. These insights bear significance for policymakers, entrepreneurs, and scholars, shedding light on potential hurdles and exploitable avenues amid digital upheaval. Consequently, this paper serves as a rich resource for those keen on grasping and maneuvering the intricacies of digital transformation within established industrial landscapes
Analysis of Public Administration Challenges in the Development of Artificial Intelligence Industry 4.0
Full text linkTechnology is causing social and economic upheaval that is overturning the social order. Governments around the world have a lot of potential as a result of the widespread use of artificial intelligence (AI) in government. There are some difficulties in using AI in government. Meanwhile, the use of AI in government can increase public trust in it. The purpose of this article is to assess the level of AI preparedness in the Indonesian government, focusing on its application to public administration and e-government services. Conclusion The level of AI readiness in Indonesia is still low. In ASEAN, the use of AI is ranked fifth. Indonesia is ranked 57th out of 195 countries in the world. Novelty in this research is how BOT can survive amid the rapid development of Artificial Intelligence
Use of Data Mining for The Analysis of Consumer Purchase Patterns with The Fpgrowth Algorithm on Motor Spare Part Sales Transactions Data
Full text linkThis study aims to analyze consumer purchasing patterns for motorcycle parts using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data. This research aims to obtain helpful information for companies in planning marketing strategies and increasing sales. The data used in this study are motorcycle parts sales transaction data from motorcycle parts stores for one year. The data is then processed using the FP-Growth algorithm to find significant purchasing patterns. The results of this study show that the FP-Growth algorithm can be used to identify substantial consumer purchasing patterns. Some purchase patterns found include a combination of often purchased products, the most active purchase time, and the most purchased product category. Using data mining and the FP-Growth algorithm can assist companies in understanding significant consumer purchasing patterns to improve the effectiveness of marketing strategies and increase sales of motorcycle parts. The novelty of this research lies in using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data to analyze consumer purchasing patterns. This research also provides valuable information for companies in planning marketing strategies and increasing sales by identifying significant consumer purchasing patterns, such as product combinations often purchased together and the most purchased product categories
Implementing Artificial Intelligence to Reduce Marine Ecosystem Pollution
Full text linkIndustrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collected. To overcome these obstacles, we need technology that can process big data. One of the technologies that can be used is Artificial Intelligence which will be discussed in this study. This study aims to provide further understanding regarding the application of Artificial Intelligence to monitor the marine environment. This study uses a literature review method from several studies related to Artificial Intelligence. The final result of this study explains the potential and impact of applying Artificial Intelligence in reducing pollution of the marine environment sustainably. Although there have been many efforts to monitor the ocean for pollutants remotely, classifying the data is challenging because of the high volume of data. Therefore, the novelty of this research is to discuss a use case of a new approach to monitoring the ocean with the help of Artificial Intelligence. This research is expected to be motivated to develop better solutions in overcoming marine environment pollution using Artificial Intelligence technology
Enhancing Security and Privacy of Patient Data in Healthcare: A SmartPLS Analysis of Blockchain Technology Implementation
Full text linkSecurity and privacy of patient data are critical concerns in the healthcare system. This research aims to investigate the impact of implementing blockchain technology on enhancing the security and privacy of patient data in healthcare. Using the SmartPLS analysis method, this study empirically examines the relationships between blockchain technology implementation and data security and data privacy within the healthcare system. The research sample consists of healthcare organizations that have implemented blockchain technology for data management. Data is collected through surveys and analyzed using SmartPLS to assess the effects of blockchain technology on data security and privacy. The findings reveal the positive influence of blockchain technology implementation on enhancing the security and privacy of patient data. The study also identifies challenges, such as scalability and interoperability, that need to be addressed for successful implementation. This research contributes to the existing literature by providing empirical evidence on the benefits and challenges of implementing blockchain technology to safeguard patient data in healthcare systems
Indonesia's Digital Economy's Development
Full text linkDigital technology must be used in all facets of life and business for global advancements to lead to the employment of technology in all disciplines, including the economic sector. One of the nations that quickly digitized their economy was Indonesia. The issue is whether Indonesia can foresee the effects and dangers that the digital economy will pose. This study's objective is to examine the growth of Indonesia's digital economy and the challenges it poses from the standpoint of national defence. The descriptive qualitative methodology is used in this study. Interviews with representatives from the Ministry of Communication and Information, the Ministry of Defense, and the Indonesian Coordinating Ministry for Economic Affairs provided the data, which was then supplemented with secondary information from these agencies. The study's findings show that Indonesia's digital economy is growing quite well, which boosts the country's GDP. They also show that productivity is rising, production, consumption, and distribution are moving more quickly, there is economic growth in various sectors, and the country can continue to operate despite the Covid-19 pandemic. The digital economy, however, also poses a threat to national security because digitization forces all data to be connected to servers that are vulnerable to data misuse and exploitation; transactions that are not secure from malware-based cyberattacks; fraudulent transactions or hacks by hackers; and infrastructure limitations that have not yet reached all parts of Indonesi
Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications
Full text linkThe creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example
Big Data and Strengthening MSMEs After the Covid-19 Pandemic (Development Studies on Batik MSMEs in East Java)
Full text linkThis research aims to analyze the effect of online business on economic growth in Java Island, segment and optimize aspects that support the development of internet business in the locus of Java Island, especially East Java Province, and complement it with a The existence of social.The method used is a combination of 5 techniques, namely regression analysis, thematic map visualization, clustering, spatial analysis, and text mining. This research has major implications for the development of MSMEs because MSMEs have succeeded in implementing e-commers in their sales and this greatly affects economic growth. Through the support of other analyses, it will also be known that the factors that support economic growth are more complete. The results show that online business affects the economic growth of provinces in Java. Online business businesses need to continue to be optimized by improving the quality of HDI and web networks, especially in the development priority areas of East Java Province. Programs related to the advanced economy need to be encouraged to align changes in the order of society with MSME activities in adapting to the e-digitalization period. This research has major implications for the development of MSMEs because MSMEs have succeeded in implementing e-commers in their sales and this greatly affects economic growth. Through the support of other analyses, it will also be known that the factors that support economic growth are more complete. This condition is more specific to developing countries and Covid-19 Pandemi
AI-Powered Arabic Language Education in the Era of Society 5.0
Full text linkIn the Society 5.0 era characterized by technological integration, Arabic language education is experiencing a transformation through the application of artificial intelligence (AI). The background to this research is the increasing need for Arabic language skills amidst globalization and the growth of cross-cultural interactions. Meanwhile, AI technology has reached a level of maturity that allows its effective use in education, providing new opportunities to improve language teaching methods. This research aims to explore the potential of using AI in Arabic language teaching, understanding how this technology can facilitate more adaptive, interactive and efficient learning, according to individual student needs. The implications of this research are very significant. The implementation of AI in Arabic education not only improves language skills, but also enriches students' learning experience. In Society 5.0, where humans and technology synergize, the use of AI in Arabic language education can be a model for integrating intelligent technology in the learning process. The main contribution of this research is the development of an AI learning system that can be adopted by educational institutions, enabling them to provide more personalized and effective Arabic language education. This research also explores updates in teaching methods, introducing an approach based on individual student responses. Thus, this research provides an in-depth understanding of how AI can be adapted to each student's learning needs in the context of Arabic language education. Overall, this research not only provides new insights into the integration of AI in Arabic education, but also provides a foundation for the development of responsive and adaptive curricula in the Society 5.0 era