Source Code Praktikum TI LAB Gunadarma Semester 3 Mata Kuliah OSK ( Organisasi Sistem Komputer )

The LEPKOM-DBMS-FUNDAMENTAL repository on GitHub serves as an essential guide for anyone looking to establish a strong understanding of Database Management Systems (DBMS). This repository provides a structured approach to learning the fundamental concepts of DBMS, including data modeling, normalization, SQL queries, and database design principles.

Source Code Praktikum TI LAB Gunadarma Semester 3

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The LEPKOM Intermediate Lab IT Practicum focuses on Oracle for Intermediate level (Tingkat 3). This course is conducted online through the LEPKOM Learning Platform.

Explore intermediate-level learning at Lepkom Gunadarma for a deeper and more engaging understanding.

Tugas basis data berdasarkan contoh kasus

"Belajar Golang melalui materi pemula dari Lepkom Gunadarma untuk pemahaman yang komprehensif dan menarik."

"Memulai perjalanan belajar Oracle di Lepkom Gunadarma untuk pemula dengan materi yang menarik dan mudah dipahami."

The LEPKOM-WEB-FUNDAMENTAL repository on GitHub is a comprehensive resource designed to provide a solid foundation in web development fundamentals. This repository covers essential web technologies such as HTML, CSS, and JavaScript, which are crucial for creating responsive and user-friendly websites. By focusing on these core technologies, the rep

In 2023, Informatics Engineering students at Gunadarma faced the challenge of Applied Graph Theory that combines high technology, hypercomputation, and graph theory concepts. Using Google Colab and Jupyter Notebook, they engage in the development of innovative solutions, applying a team teaching approach to integrate theoretical understanding of gr

This repository contains practical exercises and assignments for the Big Data Computation course at Gunadarma University, 2023. The focus is on using Python for big data computation, including matrix operations and NumPy arrays.

This repository contains materials and practical exercises for learning Python in the context of Big Data Computation. The focus is on analyzing and processing large datasets using various tools and techniques.