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All Journal INTECH (Informatika dan Teknologi) INTECH (Informatika dan Teknologi)
Hartawan, Citra Adinda
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Computer Science & IT

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Journal : INTECH (Informatika dan Teknologi)

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Pemanfaatan Big Data dalam Bisnis E-commerce OLX Maulana H, Airlangga; Hartawan, Citra Adinda; Irawan, Firda Della; Ananta, Pramoedya Seta
INTECH Vol. 2 No. 2 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i2.880

Abstract

Basically, the emergence of online sales sites is a positive impact on the development of information technology. Not a few online markets selling similar goods and services. However, there are many considerations between consumers in sorting and choosing what goods they will buy as well as the inventory of goods displayed on the online market. Every online marketplace must compete to increase its sales profit by researching the data entered on the account sites used by consumers. The type of research used is quantitative research. By utilizing advances in technology, the use of data mining is an efficient way to retrieve and collect the required data. Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find regularities, patterns, or relationships in large data sets. The output of this data mining can be used to improve decision-making in the future. So the term pattern recognition is now rarely used because it is part of data mining. Observations are carried out directly on the olx.co.id web by visiting the site, then documenting the site by printing a screen to be able to take pictures of the website display in other words we can compare one product with other products and see how many products there are. sold out. In this study, researchers also explain the flow of product orders using OLX e-commerce. E-commerce platforms also allow businesses to gather a wealth of statistics about how many customers come to their website, how they choose or compare alternatives, and what the logic is in each buying situation.
Menentukan Metode Terbaik Implementasi Enterprise Architecture: Analisis Perbandingan Metode TOGAF dan FEAF Hartawan, Citra Adinda; Ismah, Azmina Zata; Kholisoh, Elis; Mulyanah, Mulyanah; Hasugian, Reny Agustina; Idrus, Ali
INTECH Vol. 5 No. 1 (2024): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v5i1.2322

Abstract

This research explores the implementation of Enterprise Architecture (EA) with a focus on two main methods, namely The Open Group Architecture Framework (TOGAF) and the Federal Enterprise Architecture Framework (FEAF). EA implementation is recognized as the key to integrating business strategy and information technology in organizations. TOGAF offers a structured approach with clear phases, while FEAF is more focused on the government sector with more general guidelines. TOGAF is known for its comprehensive coverage and global support, while FEAF has advantages in the United States government context. Comparative analysis identifies the advantages and disadvantages of both. TOGAF has complexities that can be a challenge, while FEAF may be suboptimal for complex private organizations. The research conclusion highlights that the choice of method depends on the needs and context of the organization. TOGAF may be better suited to a structured and comprehensive implementation, while FEAF may be quicker to implement with a more limited focus. This research provides guidance for decision makers in selecting EA methods that suit the unique characteristics and goals of the organization.
Co-Authors Ali Idrus Ananta, Pramoedya Seta Hasugian, Reny Agustina Irawan, Firda Della Ismah, Azmina Zata Kholisoh, Elis Maulana H, Airlangga Mulyanah, Mulyanah