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All Journal Avatara Prosiding Semnastek Semesta Teknika Jurnal Studi Guru dan Pembelajaran Aksara: Jurnal Ilmu Pendidikan Nonformal JIKA (Jurnal Informatika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jutech: Jurnal Teknologi Informasi Jurnal Sistem Informasi Journal of Computer Science Advancements
YUSUF, DIANA
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Journal of Computer Science Advancements

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Gas Store Data Analysis Using ERD Method and Constitutional Data Warehouse Model Risaldi, Fahmi; Terisia, Vany; Arman, Shevty Arbekti; Yusuf, Diana
Journal of Computer Science Advancements Vol. 1 No. 3 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i3.540

Abstract

A data warehouse is a data storage system that plays a crucial role in business analysis. It collects, integrates, and stores data from multiple sources in a structured format, providing holistic insight into organizational performance. Entity-Relationship Model (ERD) is a visual tool for designing database structures. It uses entities to represent real-world objects and the relationships between them. ERD helps plan an efficient and coherent database design. A conceptual model is an abstract visual representation of information structures and relationships within a domain. It covers key concepts and business rules, assisting in building a solid foundation of understanding before technical designing begins. All three are interrelated in the development of successful information systems. Data warehouses use conceptual models to direct effective data storage design, while ERD helps describe the entities and relationships to be stored in the data warehouse. The combination of all three enables organizations to design, develop, and maintain adequate information systems, based on a deep understanding of data and its relationships. This results in better decision making, more efficient innovation, and optimal utilization of resources. The purpose of this study is to produce optimal data using the ERD method. The main objective is to explain how much data in an information system in the Company and how data management is crucial for effective decision making.
Application of K-Means Clustering Algorithm to Obtain Recommendations for Strategies to Increase the Number of Students in the Information Systems Study Program at ITB Ahmad Dahlan Jakarta Yusuf, Diana; Guilin, Xie; Jiao, Deng
Journal of Computer Science Advancements Vol. 1 No. 4 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i4.581

Abstract

The rapid development of technology today has almost touched all sectors of life such as the economy, health and education. The technology currently used produces a lot of data every day, one of which is in the field of education. Data mining is a group of methods used to investigate and reveal complex relationships in very large data sets. Data here means information organized in a tabular format, as is often used in relational database management. This research uses data from the academic section of ITB Ahmad Dahlan, namely data on students of the Information Systems study program from 2019 to 2022. The attributes that will be used for this research are student gender, student employment status and student achievement index.  Recommendations for promotional strategies to increase the number of new students are to conduct visits to high schools or vocational schools. Not only that, the new student admission team can also promote to companies or offices.
Co-Authors Dodi Arif Fahrul Razi Fitriani, Fidha Guilin, Xie IRMA YULIANTINA, IRMA Jiao, Deng Karno, Adhitio Satyo Bayangkari Larasati, Anggita Listianto, Farros Fauzaan Mildasari, Mildasari Nia Kurniati Nuri Aslami Nurjayanti , Revi Risaldi, Fahmi Sestri, Elliya Sestri, Ellya Shevti Arbekti Arman Syamsu, Muhajir Vany Terisia Widi Hastomo