Implementasi Algoritma Bubble Sort dalam Bahasa Pemrograman Python

Understanding Bubble Sort Algorithm

Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. The pass through the list is repeated until the list is sorted. In this section, we will delve into the fundamentals of the bubble sort algorithm and its implementation in the Python programming language.

How Bubble Sort Works

The core concept of the bubble sort algorithm involves comparing adjacent elements in a list and swapping them if they are in the wrong order. This process is repeated for each element in the list until the entire list is sorted. The algorithm gets its name from the way smaller elements "bubble" to the top of the list with each iteration.

Implementing Bubble Sort in Python

Now, let's explore how the bubble sort algorithm can be implemented in Python. Below is a simple example of the bubble sort algorithm in Python:

```python

def bubble_sort(arr):

n = len(arr)

for i in range(n):

for j in range(0, n-i-1):

if arr[j] > arr[j+1]:

arr[j], arr[j+1] = arr[j+1], arr[j]

return arr

```

In this Python function, we iterate through the list and compare adjacent elements, swapping them if necessary. This process continues until the entire list is sorted in ascending order.

Time Complexity of Bubble Sort

It is essential to understand the time complexity of the bubble sort algorithm. The worst-case time complexity of bubble sort is O(n^2), where n is the number of elements in the list. This means that in the worst-case scenario, the algorithm will take a quadratic number of steps to sort the list. However, in the best-case scenario, where the list is already sorted, the time complexity reduces to O(n).

Advantages and Disadvantages of Bubble Sort

While bubble sort is a simple algorithm to implement, it is not the most efficient sorting algorithm, especially for large datasets. Its main advantage lies in its simplicity and ease of understanding. However, its time complexity makes it less practical for sorting large lists compared to more efficient algorithms such as quicksort or mergesort.

Conclusion

In conclusion, the bubble sort algorithm provides a fundamental understanding of sorting algorithms and their implementation in Python. While it may not be the most efficient sorting algorithm for large datasets, it serves as a valuable learning tool for beginners in programming and algorithmic concepts. Understanding the principles of bubble sort can pave the way for exploring more advanced sorting algorithms and their applications in real-world scenarios.