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Your search keyword '"Kurniawan, Yogiek Indra"' showing total 75 results
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75 results on '"Kurniawan, Yogiek Indra"'

1. A Study of E-commerce Platform Issues Shared by Developers on Stack Overflow

Author

Nugroho, Yusuf Sulistyo, Islam, Syful, Gunawan, Dedi, Kurniawan, Yogiek Indra, Hossain, Md. Javed, Kabir, Mohammed Humayun, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Dutta, Paramartha, editor, Chakrabarti, Satyajit, editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, and Piuri, Vincenzo, editor

Published
2023
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5. An empirical study of software ecosystem related tweets by npm maintainers.

Author

Islam, Syful, Nugroho, Yusuf Sulistyo, Shahrear, Md., Wahed, Nuhash, Gunawan, Dedi, Pamungkas, Endang Wahyu, Kabir, Mohammed Humayun, Kurniawan, Yogiek Indra, and Uddin, Md. Kamal

Abstract

The npm ecosystem is crucial for the JavaScript community and its development is significantly influenced by the opinions and feedback of npm maintainers. Many software ecosystem maintainers have utilized social media, such as Twitter, to share community-related information and their views. However, the communication between npm maintainers via Twitter in terms of topics, nature, and sentiment have not been analyzed. This study conducts an empirical analysis of tweets by npm maintainers related to the software ecosystem to understand their perceptions and opinions better. A dataset of tweets was collected and analyzed using qualitative analysis techniques to identify the topic of tweets, nature, and their sentiments. Our study demonstrates that most tweets belong to the package management category, followed by notifications and community-related information. The most frequently discussed topics among npm maintainers in the package management category are usage scenarios. It appears that the nature of tweets mostly shared by npm maintainers is information, followed by question and answer, respectively. Additionally, the sentiment analysis reveals that npm maintainers express more positive sentiments towards notification and community-related discussion while expressing more neutral opinions towards the package management related discussion. This case study provides valuable insights into the perceptions and opinions of the npm maintainers regarding the software ecosystem and can inform future development and decision making. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Decision tree using ant colony for classification of health data.

Author

Nugroho, Arief Kelik, Permadi, Ipung, Kurniawan, Yogiek Indra, Hanifa, Aini, and Nofiyati

Subjects
DECISION trees, ANT colonies, ANT algorithms, CLASSIFICATION algorithms, ANT behavior, DATA mining
Abstract

The classification algorithm's goal is to built a model that maximizes the accuracy of the number of correct predictions, although the completeness of the model plays an important role in many application areas. Ant Colony Optimization (ACO) is relatively simple to realize the behavior of ant colonies, and they cooperate with each other to achieve the goal from nest to food source. A system capable of executing a search to discover the optimum answer to an optimization issue with a vast search space is referred to as a colony generation system. Classification by applying the ACO algorithm in data mining has the advantage of searching with flexible values and value combinations. One of the many benefits that can be applied using ACO is to build a decision tree. As a model representation, the decision tree is easy to understand and can be represented in the form of a graph. By using the modified decision tree using ACO, the result of using the pruning technique is 76.1%. [ABSTRACT FROM AUTHOR]

Published
2023
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