International Journal of artificial intelligence research (IJAIR)
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The Existence of Community Culture in the Framework of Mappanretasi Local Wisdom in Tanah Bumbu Regency
Get PDFThe Mappanretasi tradition is a form of local wisdom of the Bugis people in Tanah Bumbu Regency, South Kalimantan, which has spiritual, social, and economic meanings. This research aims to inventory the cultural elements of Mappanretasi, analyze its impact on the Micro, Small, and Medium Enterprises (MSMEs) sector, and identify challenges in preserving this tradition. This study uses a qualitative approach with phenomenological design. Data were collected through in-depth interviews, participatory observations, and documentation studies, involving indigenous leaders, local communities, and local governments. The results of the study show that Mappanretasi reflects the relationship between humans and nature through symbols such as ritual boats and offerings of marine products, which symbolize gratitude and community solidarity. This tradition also has a significant economic impact, especially for MSMEs in the culinary, handicrafts, and service sectors, with a surge in demand for local products during its implementation. However, the preservation of this tradition faces challenges such as declining interest among younger generations, lack of formal documentation, and modernization pressures that have the potential to diminish the spiritual essence of the tradition. This research suggests formal documentation of traditions through digitalization, integration of cultural values into formal education, and collaboration between governments, communities, and the private sector to address these challenges. With a strategic and holistic approach, the Mappanretasi tradition can continue to be an integral part of local cultural identity while supporting sustainable economic developmen
Use of Artificial Intelligence in Human Resource Management
Get PDFThe abstract must be between 150–250 words. Be sure that you adhereto these limits; otherwise, you will need to edit your abstractaccordingly. The abstract must be written as one paragraph, and shouldnot contain displayed mathematical equations or tabular. The use ofartificial intelligence (AI) in human resource management (HRM) isgaining increasing attention, with many organizations recognizing itspotential to enhance operational efficiency. The majority of respondentsin this study demonstrate awareness of AI, with more than halfunderstanding the technology and its functions in the context of HRM.Most respondents hold a positive view towards AI adoption, with over60% believing that AI can improve organizational efficiency. Keybenefits identified include time savings in recruitment, improved dataanalytics, and more accurate employee turnover predictions. However,despite the widespread support for AI, some concerns remain. About12% of respondents expressed concerns regarding algorithmic bias thatmay arise in AI-driven decision-making processes, as well as challengesin safeguarding employee privacy. These issues highlight theimportance of caution when implementing AI, ensuring that thetechnology does not exacerbate inequalities or infringe upon individualprivacy. Overall, the survey results reflect a generally positive attitudetowards AI, while also emphasizing the need for a more cautiousapproach in its application. Organizations must address ethical andprivacy concerns and ensure that AI is used to support fair andtransparent decision-makin
Information System Based On Attraction Of Travel Selfies And Intention To Visit Tourist Destinations In The Context Of A Study Of The Utilitarian And Hedonic Benefits Of Travel Selfies
Get PDFCreating an information system based on travel selfie appeal and intention to visit tourist destinations involves integrating utilitarian and hedonic aspects to enhance user experience. Combining utilitarian and hedonic features, the information system aims to enhance the overall travel experience, from trip planning to enjoying the destination, while leveraging the appeal of travel selfies to create a more engaging and personalised platform. This study investigates the impact of utilitarian and hedonic advantages on the attractiveness of travel selfies and the intention to travel. There are 420 respondents from generation Z. The analysis employed is structural equation modeling, with Amos version 26 utilized to process the data. The findings of this study demonstrate that the utilitarian and hedonic effects of trip selfies can enhance their appeal. The appeal of travel selfies is a significant aspect of attracting travelers to travel destinations. Other research shows that hedonic benefits are more likely to get people to visit a site than utilitarian benefits. There are several implications presented both managerially and theoreticall
The Influence Of Brand Equity, Customer Relationship Marketing And Service Perfomance On Customer Loyalty
Get PDFAs a company that offers financial services, Bank NTB Syariah is always motivated by the importance of trust when doing its everyday duties. Bank NTB Syariah is dedicated to bringing new ideas and solutions to customers' financial activities while adhering to Sharia laws and customs. In the Islamic banking sector, superior service quality and brand equity are the keys to success. Islamic banks are currently placing a great deal of emphasis on their customer relationship marketing since a well-executed plan may foster customer pleasure and loyalty. At Bank NTB Syariah KCP Aikmel Lombok Timur, this study aims to determine the impact of customer loyalty on brand equity, customer relationship marketing, and service performance. This study employed quantitative methods based on correlation analysis. A total of 70 respondents were acquired by using incidental sampling procedures to obtain the sample. A number of tests, including the validity, realibility, classic assumption, linear regression, and coefficient of determination tests, were used to analyze the data using IBM SPSS version 21. According to the research findings, Bank NTB Syariah's customer loyalty is positively and significantly impacted by its brand equity, customer relationship marketing, and service performance. KCP Aikmel can be used as a reference when developing policies for the bank to ensure that its customer loyalty is high by continuing to maintain its brand equity, customer relationship marketing, and service performance
Collaborative Governance Strategy In Accelerating Vaccination Through Vaksinasi Merdeka (Independence Vaccination) Innovation Program In Jakarta City Area
Get PDFPolda Metro Jaya with the Vaksinasi Merdeka (independent vaccination) innovation program has initiated a community-based and collaborative governance strategy where Polda Metro Jaya team gone directly to the community to study, innovate and implemented a better vaccination program, that proven to be more effective and efficient than any other vaccination program. The use of ethnographic study for ten months research, found that this success of the program started with the data science approach that resulted with a vaccination innovation program design that are closer and familiar to the people in the DKI Jakarta area
Fuzzy Preference Relations-Based AHP for Multi-Criteria Supplier Segmentation
Get PDFSupplier segmentation is a strategic activity for businesses. It involves dividing suppliers into distinct categories and managing them differently. Various supplier typologies based on different dimensions and factors are available in the existing literature. By highlighting two main characteristics the skills and the desire of suppliers to work with a specific company this article integrates many typologies. Almost all of the supplier segmentation criteria stated in the literature are covered by these dimensions. These dimensions can be defined utilizing a multi-criteria decision-making process for each specific case. To account for the inherent ambiguities and uncertainties in human judgment, a fuzzy Analytic Hierarchy Process (AHP) is suggested as part of the technique. This approach makes use of fuzzy preference relations. A broiler firm uses the suggested process to divide up its suppliers. A categorization of vendors according to two aggregated criteria is the end outcome. Lastly, we offer some suggestions for future research, draw some conclusions, and talk about some techniques to address distinct sector
A Model of Indonesian Consumers' Online Shopping Behavior, an Extension of TAM
Get PDFThe aim of determining the online shopping behavior of Indonesian consumers was to create a model of online shopping behavior in Indonesia. The specific goal was to examine and develop a model of online shopping behavior in Indonesia using the Technology Acceptance Model, which is integrated with e-trust, security, and perceived risk as moderators. This research used a descriptive analysis method with a quantitative approach. Primary data were obtained by distributing questionnaires with 385 respondents as samples, using an online survey. The questionnaire was analyzed to determine the effect of the Technology Acceptance Model on Purchase Intention in online marketing through the moderating role of trust, security, and risk. The object of this research was online shopping users in Indonesia. The population of this study was all consumers who used the Internet to make online purchases (Blibli.com, Tokopedia.com, Bukalapak.com, Beribenka.com, Shopee.com, or other online product marketing sites) either through smartphone media or other media (PCs, and laptops). Samples were taken using the non-probability sampling technique with the purposive sampling method and analyzed using SEM. The results showed that perceived usefulness positively affected consumer attitudes, perceived ease of use positively affected consumer attitudes, perceived ease of use positively affected purchase intentions, perceived ease of use affected purchase intentions strengthened by perceived risk, consumer attitudes positively affected purchase intentions, attitudes affected purchase intentions strengthened by security, and attitudes affected purchase intentions strengthened by e-trust
A Proposed Framework for ERP System Implementation in SMEs
Get PDFSMEs face numerous challenges and opportunities due to their pivotal roles in the economic development of a country. Adopting an ERP system is believed to be the catalyst to cope with the challenges and grab the opportunities faced by SMEs. However, implementing ERP led to potential risks caused by implementation failure, even for big companies. SMEs have a unique characteristic due to being receptive to adopting new technologies but having limited resources. Most previous research related to designing frameworks for ERP implementation was focused on big companies, although the fact that SMEs have distinct characteristics compared to big companies. Therefore, this study aims to design a framework for SMEs' ERP implementation. The framework phase consists of (1) measuring the business maturity, information communication and technology (ICT) maturity, proposed business process improvement, and (2) implementing an ERP system. The author has also provided a case study of ERP adoption in an SME in this paper by compiling both steps. This research will contribute to research on ERP in SMEs and practice as guidance for ERP implementors and SMEs in adopting the ERP syste
Evaluation of VGG16 Performance in Multi-Input and Multi-Class Classification of Toraja Buffalo Breeds
No full textTraditional image classification research has focused on single-input and multiclass approaches. However, these approaches often fail to capture the complexity and diversity of real-world image data. To address the complexity and more diverse variation in data, as well as to improve the classification accuracy of various categories, a multi-input image approach is utilized. With a multi-input multi-class approach, a Transfer Learning model based on VGG16 is trained to identify objects from various perspectives and classify them into one of many predefined classes. The VGG16 architecture in the multi-input and multi-class classification of Toraja Buffalo breeds demonstrates excellent results with an average accuracy of 93.33%. The "Kerbau Lotong Boko" and "Kerbau Bonga Ulu" classes achieved 100% accuracy, while other classes showed high precision, recall, and F1 scores. Despite fluctuations in accuracy and loss during training, the model successfully achieved good convergence and generalization. This research is significant in the field of image classification by introducing a multi-input method capable of capturing richer and more diverse information from complex objects such as Toraja buffalo. It demonstrates that CNN architectures like VGG16 can be adapted to handle more complex classification tasks using a multi-input approach
Machine Design and Development of CoreXY FDM 3D Printer for Learning
Get PDFThis research aims to design and develop CoreXY FDM 3D Printer that can be optimized for learning purposes. By detailing aspects of design, hardware, and software, this research is expected to make a significant contribution in improving the quality of learning. Research using the Research and Development method, carried out based on the Machine Learning System Development model with stages in the form of Problem Understanding, Data Handling, Model Building, and Model Monitoring. The results showed that the lowest average depreciation value in the 3D printer developed was smaller than the 3D Printer machine from the previous study. The best print quality was produced in experiment number 3 where the print results were almost flat and smooth. So that the best print parameters are produced at a layer thickness of 0.1 mm and a print speed of 60 mm / minute. Blackbox Test results show that all components of the 3D printer machine have been able to function properly. The results of the user trial questionnaire showed that the average value of all aspects received a value of 3.55 from a range of values 1-4, indicating that this machine is very good to be used as a medium in the learning process. Comparison of FDM CoreXY 3D Print printing process time after development shows shorter print time than FDM CoreXY 3D Printer machine before development