Perbandingan Selection Sort dengan Algoritma Pengurutan Lainnya

Selection sort is a simple sorting algorithm that works by repeatedly finding the minimum element from the unsorted subarray and swapping it with the element at the beginning of the unsorted subarray. It is a relatively inefficient algorithm, especially for large datasets, but it is easy to understand and implement. In this article, we will delve into the intricacies of selection sort and compare its performance with other popular sorting algorithms.

Understanding Selection Sort

Selection sort operates by iterating through the array, selecting the smallest element, and placing it at the beginning of the array. This process is repeated for the remaining unsorted subarray until the entire array is sorted. The algorithm's simplicity makes it a good choice for educational purposes, but its performance limitations make it less suitable for practical applications involving large datasets.

Comparison with Other Sorting Algorithms

Selection sort's performance is often compared to other sorting algorithms, such as bubble sort, insertion sort, merge sort, and quicksort. While selection sort is relatively easy to implement, it is generally outperformed by these other algorithms in terms of efficiency.

Bubble Sort

Bubble sort is another simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. While bubble sort is intuitive, its time complexity is O(n^2), making it inefficient for large datasets.

Insertion Sort

Insertion sort works by building a sorted array one element at a time. It iterates through the input array, taking each element and inserting it into its correct position in the sorted subarray. Insertion sort is generally more efficient than bubble sort and selection sort, with a time complexity of O(n^2) in the worst case and O(n) in the best case.

Merge Sort

Merge sort is a divide-and-conquer algorithm that recursively divides the input array into two halves, sorts each half, and then merges the sorted halves into a single sorted array. Merge sort has a time complexity of O(n log n), making it significantly more efficient than selection sort, bubble sort, and insertion sort for large datasets.

Quicksort

Quicksort is another divide-and-conquer algorithm that works by partitioning the input array around a pivot element. The elements smaller than the pivot are placed before the pivot, and the elements larger than the pivot are placed after the pivot. This process is recursively applied to the subarrays until the entire array is sorted. Quicksort has an average time complexity of O(n log n), making it a highly efficient sorting algorithm.

Conclusion

Selection sort is a simple sorting algorithm that is easy to understand and implement. However, its performance is limited, especially for large datasets. Other sorting algorithms, such as bubble sort, insertion sort, merge sort, and quicksort, offer significantly better performance. The choice of sorting algorithm depends on the specific requirements of the application, including the size of the dataset, the need for stability, and the available resources.