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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 6 Documents
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Search results for , issue "Vol. 1 No. 02 (2023): Journal Of Data Science, September 2023" : 6 Documents clear
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.

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