Dhimaz Purnama Adjhi
There are so many applications of learning based on group methods in schools or campuses in Indonesia, learning with groups is considered good for student development such as discussion, mutual cooperation and so on. However, there are some obstacles to the group learning method such as a fair division of group members, determining the order of group presentations, and the head of the group. Many times we see that there are groups that are very overpowered and groups that are wasted, or make a fuss about the order of group presentations and the selection of group leaders. It seems trivial, but the problem has an impact on the effectiveness of the method.
The solution to this problem I answered and created a web-based program called Edu-Shuffle. Edu-Shuffle is a random program created to overcome and solve problems that are commonplace in students such as Group Member Division, Group Presentation Order, and Election of The Chairman or Person in Charge. This program has many advantages such as fair, efficient, fast, and does not drain a lot of time energy. It is built using several programming language technologies in it such as Python, JavaScript, and CSS. The essence of the program is a library function called random that is found in Python and I merged the Python into HTML using a technology called PyScript. Finally, Edu-Shuffle succeeded in answering the challenge and being the solution to the problem. Edu-Shuffle Program Website Link: https://rizereze123.github.io/Edu-Shuffle/
Features On Edu-Shuffle:
The third feature can also be applied to case studies for the selection of class leaders or persons in charge of one course or whatever it is whose condition is that none of the students apply to be the chairman or person in charge.
Technology In It:
Code View:
For more details, the source code can be seen at: https://github.com/rizereze123/Edu-Shuffle
Testing:
For more details, the program can be seen at: https://rizereze123.github.io/Edu-Shuffle/
Created By: Dhimaz Purnama Adjhi - Studi Independent Batch 3 - AI INFRA