Algoritma dan Struktur Data

What is Decomposition in computational thinking?

• Breaking down a large problem into smaller parts

• Identifying patterns in data

• Focusing on important information

• Creating step-by-step solutions

What is Pattern Recognition in computational thinking?

• Identifying patterns or similarities in data

• Breaking down a large problem into smaller parts

• Focusing on important information

• Creating step-by-step solutions

What is Abstraction in computational thinking?

• Focusing only on the important parts of a problem

• Identifying patterns in data

• Breaking down a large problem into smaller parts

• Creating step-by-step solutions

What is Algorithmic Thinking in computational thinking?

• Creating a logical sequence of steps to solve a problem

• Identifying patterns in data

• Focusing on important information

• Breaking down a large problem into smaller parts

What is the definition of data structure?

Why is data structure important?

• Efficiency. The right data structure can help computers access and process data faster.

• Accuracy. The right data structure can help ensure that the data stored and processed by computer programs is accurate and consistent.

• Security. The right data structure can help protect data from damage or unauthorized access.

What is an array?

• Stores data in a hierarchical structure like a tree.

• Stores a collection of data that does not have a specific order.

• Stores data in a queue manner.

• Stores data in a stack manner.

• Stores a collection of data of the same type such as numbers or text.

What is a stack?

• Stores data in a stack manner.

• Stores a collection of data of the same type such as numbers or text.

• Stores a collection of data that does not have a specific order.

What is a queue?

• Stores data in a queue manner.

• Stores a collection of data of the same type such as numbers or text.

• Stores a collection of data that does not have a specific order.

What is an algorithm?