A Greedy-based Algorithm in Optimizing Student’s Recommended Timetable Generator with Semester Planner

Semester planner plays an essential role in students’ society that might help students have self-discipline and determination to complete their studies. However, during the COVID-19 pandemic, they faced difficulty organizing time management doing a manual schedule. It resulted substantial disruptions learning, internal assessment disturbances, cancellation of public evaluations. Hence, this research aims optimize recommended semester planner, Timetable Generator using greedy algorithm increase student productivity. We identified three-set control functions for each entered information: 1) validation inserted information ensure valid data no redundancy, 2) focus scale, 3) number hours finish activity. calculate priority task sequence achieve best optimal solution. The can solve optimization problem with solution situation. Then, we executed it make planner. From test conducted, functionality shows all features successfully passed. validate accuracy system’s reliability by evaluating compared Brute Force algorithm, trends from 60% 100%.