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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 28 Documents
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Rapid Miner Testing With The Knn Algorithm Noferianto Sitompul
Journal Of Data Science Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v1i02.2834

Abstract

In the modern era of computers and the internet, the need for effective data analysis tools is increasing. In the data mining industry, RapidMiner has developed into an essential tool for using simple but effective classification methods such as k-Nearest Neighbors (KNN). The purpose of this study is to evaluate RapidMiner's ability to implement KNN and evaluate its performance on various datasets derived from various characteristics. Test results show that RapidMiner can implement KNN with satisfactory accuracy for most datasets; The methodology used measures classification performance through metrics such as accuracy, recall, precision, and F1 score. In conclusion, RapidMiner has a lot of potential for practical application of KNN, but it has limitations when working with large datasets.
Testing the C45 Algorithm with Rapid Miner for Stock Selection (Case Study: Toko Usaha Muda) Paska Marto Hasugian
Journal Of Data Science Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v1i02.2836

Abstract

One of the keys to the success of a retail company is good stock management. Intuition-based methods are often not enough because customer demands are always changing. This research concentrates on the use of the C4.5 decision tree algorithm on the RapidMiner platform to optimize the selection of goods in the Toko Usaha Muda. This algorithm is used to predict future stock requirements by looking at previous sales patterns in stores and historical sales data. The results show a significant increase in the accuracy of stock predictions and a decrease in the probability of loss due to excess or stockouts. This implementation not only enhances the operations of the Toko Usaha Muda, but also provides a framework that other retail businesses can use to increase their profits through better stock management.
Evaluation Of Bolu Menara Sales Data With The C.45 Algorithm Using The Rapid Miner Application Denni M. Rajagukguk; Muhammad Iqbal Panjaitan
Journal Of Data Science Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v1i02.2837

Abstract

In recent years, the cake and pastry market, including Bolu Menara, has grown rapidly and attracted many customers. This research looks at Bolu Menara sales data collected during a certain period using the C.45 algorithm from the RapidMiner application. The aim of this method is to discover purchasing patterns and understand consumer patterns to improve marketing strategies. For example, the analysis results show that consumers with certain criteria tend to buy Bolu Menara more often than other people. So, this method succeeds in finding sales patterns that can be used as a basis for marketing strategies, enabling businesses to improve their marketing efficiency and effectiveness.
Testing the K-Means Clustering Algorithm in Processing Student Assignment Grades Using the RapidMiner Application Pandi Barita Nauli Simangunsong; Mamed Rofendi Manalu
Journal Of Data Science Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v1i02.2838

Abstract

In the current era of computers and the internet, educational data analysis has become very important to optimize the teaching and learning process. This study focuses on the use of the K-Means clustering algorithm used by the RapidMiner application to group assignment grades given to students during one academic semester. The goal is to discover patterns of achievement and areas that require intervention. The results show that the algorithm is very effective in identifying groups of students based on their performance and dividing them into middle, high, and those who need help. In short, the use of K-Means Clustering with RapidMiner offers a useful analytical approach for education. This allows for a more customized learning approach that is based on analysis of student achievement.
Building Digital Communication Effectiveness in Organizations Harjono Padmono Putro
Journal Of Data Science Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v1i02.3543

Abstract

In facing this digital era, organizations are faced with the challenge of understanding and fully utilizing the potential of digital communications in order to achieve optimal effectiveness. Digital communication includes a variety of tools, such as online collaboration platforms, email, social media, and other technology-based applications. The success of an organization not only depends on the adoption of this technology, but also on the extent to which the organization is able to manage and build the effectiveness of communication through these digital media. Therefore, this research aims to establish the effectiveness of digital communication in an organization. This research uses a qualitative approach with descriptive methods. The research results show that the implementation of digital communication in organizations has a positive impact on operational efficiency and productivity. Respondents highlighted that the use of digital communication tools, such as email and collaborative platforms, overcomes distance and time constraints, speeds up the exchange of information, and facilitates faster decision making. Employee engagement also increases through interactive communication channels, creating a more open and collaborative work environment. Despite this, challenges related to technological inadequacy and digital security issues remain major concerns that require strategic action in optimizing the benefits of digital communications within organizations.
Implementation of an Integrated Management Information System to Create Business Efficiency Awan Setiawan
Journal Of Data Science Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v1i02.3784

Abstract

This research aims to investigate and analyze the application of Integrated Management Information Systems (IMIS) in the context of business organizations with the aim of increasing operational efficiency and resource management. This research uses a qualitative approach with descriptive methods. The research results show that the implementation of an Integrated Management Information System (IMIS) makes a positive contribution to business efficiency. With good integration between information systems, companies can optimize operational processes, reduce redundancy, and improve information flow. In addition, IMIS also supports faster and more accurate decision making, enabling companies to respond to market changes more efficiently. The research results also highlight the benefits of IMIS in strengthening relationships with customers through holistic access to customer information. This integration also helps in managing company resources efficiently and improves information security. In conclusion, IMIS implementation is a relevant and effective strategy in increasing the company's competitiveness and operational efficiency.
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.

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