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p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal Science and Technology (IJST)
Isni Oktria
Universitas Gunadarma
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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ANALYSIS AND DESIGN OF CONCEPTUAL MODELS OF DATA WAREHOUSE IN ARISTY WEDDING ORGANIZER Isni Oktria; Dyah Cita Irawati
International Journal Science and Technology Vol. 2 No. 1 (2023): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i1.554

Abstract

Wedding Organizer is a business that specializes in services that specifically help the bride and groom and families in the planning and supervision of the implementation of a series of events into a wedding party. The necessity of designing a conceptual model of data warehouse on a wedding organizer devoted to designing the model and the data flow that existed at the wedding organizer. The data warehouse is a collection of data from various sources placed together in a safae place for querying and reporting processes. The conceptual model of the data warehouse is a logic design that represents the data. Data warehouse design method used in the study is the dimensional data modeling Powell. The study resulted in the design of data into multiple tables then the tables is determined which inculeds the dimension tables and fact. The identification process is intended to design a star schema, snowflake schemas, and the fact constellation schema of existing data on the wedding organizer CV . Aristy so that in the future can be created a wedding organizer information system for CV. Aristy
AI-Driven Digital Twin for Energy Optimization in Green Data Centers Isni Oktria
International Journal Science and Technology Vol. 4 No. 2 (2025): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i2.2249

Abstract

This study proposes the development of an AI-driven digital twin for data centers aimed at improving energy efficiency, reducing carbon footprint, and enhancing operational performance. The digital twin—a virtual replica of the physical data center—will be equipped with real-time AI algorithms to predict thermal loads, analyze cooling requirements, and automatically adjust operations to minimize energy consumption. This paper explores the integration of AI with digital twin architectures, tests its performance in simulated scenarios, and evaluates potential energy savings as well as contributions to Green IT practices.
Co-Authors Dyah Cita Irawati