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"Journal of Data Science
Published by SEAN INSTITUTE
ISSN : -     EISSN : 30252792     DOI : https://doi.org/10.58471
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT
The "Journal of Data Science" is a real journal that focuses on the field of data science. It covers a wide range of topics related to data analysis, machine learning, statistics, data mining, and related areas. The journal aims to publish high-quality research papers, reviews, and technical notes that contribute to the advancement of data science.The Journal of Data Science welcomes submissions from researchers, academics, and practitioners working in the field of data science. It provides a platform for sharing novel research findings, methodologies, algorithms, and applications in various domain
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024" : 5 Documents clear
Revealing city identity through a semiotic approach: analysis of city elements Ayub Muktiono
Journal Of Data Science Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v2i01.3919

Abstract

There is generalization and uniformity in the form of development and visuals of the city, so that the city becomes increasingly foreign to society, especially in recognizing and exploring the potential of one's identity to fulfill one's life needs. A city as a complex entity is not only a physical collection of buildings, but also a system of meaning that can be described through a semiotic approach. This research aims to reveal the identity of a city through analyzing city elements using semiotic theory as a basis. A semiotic approach allows us to understand the way symbols and signs within a city contribute to the formation of its identity. The results of this research reveal that city architecture is not just a physical structure, but rather a reflection of the city's identity which is formed through careful planning, taking into account historical, local, rarity, socio-cultural, aesthetic and harmony values. Green and non-green open spaces in urban areas display various forms that reflect social interaction, providing a place for people to communicate, share experiences and build relationships. Apart from its ecological function, open space also has an important role in the social, architectural and economic aspects of cities. Thus, this research highlights the complexity of city elements and symbols in shaping identity as well as the role of open spaces as centers of social interaction, providing insights for holistic and sustainable urban planning.
Content marketing strategy in increasing consumer interaction on social media Ismail Razak
Journal Of Data Science Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v2i01.4008

Abstract

In this digital era, social media has become the main platform for communicating and interacting online. Therefore, content marketing strategies are crucial to attract consumer attention and build sustainable engagement. This research aims to examine and analyze the effectiveness of content marketing strategies in increasing consumer interaction on social media. This research uses a qualitative approach with descriptive methods. The research results show that an effective content marketing strategy on social media requires a deep understanding of the audience, branding consistency, and a balance between content frequency and quality. Responsiveness to audience comments, collaboration with others, and continuous evaluation through analytical tools form key pillars in improving consumer engagement. In conclusion, content marketing success on social media involves an adaptive approach, leveraging technology, and keeping up with emerging trends to build solid relationships with audiences and achieve marketing goals.
Decision support system in choosing tour packages and travel reservations using simple additive weight (SAW) method on Berkat Hemat Wisata Fauzi H. Simbolon; Maranata Pasaribu; Sariadin Siallagan
Journal Of Data Science Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v2i01.4124

Abstract

Travel activities' growth as an effort to seek balance, harmony, and happiness with the environment has intensified competition in the tourism industry. Therefore, this study employs the Simple Additive Weighting (SAW) method to aid in selecting travel packages and reservations. This method enables the assessment of alternative performances based on specified criteria such as hotel class, package price, number of tours, and tour duration. The SAW process involves normalizing decision matrices and summing matrix multiplications with a weight vector, resulting in alternative rankings from the largest to the smallest. The case study demonstrates that the selection of travel packages is conducted by assigning weights to each criterion, such as hotel class, package price, number of tours, and tour duration. The final results reveal alternative rankings, facilitating decision-makers in choosing travel packages that align with their preferences. By utilizing the SAW method, this decision support system streamlines the assessment and selection of travel packages, enhancing service quality and consumer satisfaction in the tourism industry.
Opportunities and Challenges for Using Artificial Intelligence Technology in Human Resource Management Budi Rismayadi
Journal Of Data Science Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v2i01.4273

Abstract

This research aims to identify the challenges and opportunities that arise along with the use of Artificial Intelligence (AI) Technology in the context of human resource management (HR). In the era of digital transformation, organizations are increasingly integrating AI to increase the efficiency and effectiveness of HR management. This research uses a qualitative approach with descriptive methods. The research results show that the use of Artificial Intelligence (AI) Technology in Human Resources Management (HRM) has a significant impact on the efficiency and effectiveness of workforce management. Implementing AI in recruitment processes, performance management and employee skill development can increase productivity and provide in-depth data analysis. However, the research also identified several challenges, including the impact on lower-end jobs, increased equipment maintenance costs, and the need for highly qualified professionals. Therefore, the research conclusions highlight the need for a holistic approach in addressing these challenges, involving employee engagement, investment in training, and collaboration with educational institutions to achieve sustainable and competitive human resource management in the era of AI technology.
Citizenship education: Foundations of Indonesian nationalism and democracy Dadang Mulyana
Journal Of Data Science Vol. 2 No. 01 (2024): Journal Of Data Science, March 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v2i01.4314

Abstract

Nationalism and democracy are two crucial aspects in building a strong and sovereign country. Citizenship education has the potential to become the main means of forming nationalist awareness and strengthening democratic values among Indonesian society. This research aims to examine the role of citizenship education in building the foundations of nationalism and democracy in Indonesia. This research uses a qualitative approach with descriptive methods. The research results show that the implementation of citizenship education has a significant impact in forming nationalist awareness and democratic participation among Indonesia's young generation. Respondents stated that through PKN learning, they better understand the values of Pancasila, their rights and obligations as citizens, as well as the importance of participation in political and social life. These results confirm that citizenship education plays an important role in forming strong national character and identity and improving the quality of participation in democracy, which is a crucial aspect in building a sovereign and just nation.

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