in week six we are learning K-Means algorithm. K-means algorithm is one of the algorithm that we use to clustering. clustering is one way of unsupervised learning method. this week we do not have the lab session because of nyepi … Continue reading →

In this week we learn about the minimax algorithm. Minimax algorithm is used to predict the best move for a game. For an example, playing versus a bot on a chess. The bot will use the algorithm to choose its … Continue reading →

This week we learn about uninformed search. We learn about the a* algorithm and also the greedy best first search. We have and exercise for both of the algorithm to solve the same problem. We also learn about the 8-queens … Continue reading →

On the second week of Intelligents system, we study about several uniform search strategy. we study 4 kind of uniform search strategy: depth-first search, Breadth-first search, depth-limited search, and also uniform-cost search. we also practice using all of the algorithm … Continue reading →

In the first week of the intelligent system course, we studied about the introduction and the history of artificial intelligence. We also introduced to the course plan for the whole course. We have a final project that we need to … Continue reading →

Project Details Project Name: Shop Inventory and Cashier System Team Name:  Team Members: Eric Jovian, Kevin Dimas, Marcell Alvianto, Michael Berlian Problem Statement In this modern era of computers, using a software application may help businesses optimize their system to … Continue reading →

Game Name: Where Is She? Members: Kevin Dimas Michael Berlian Marcell Alvianto Screenshots     How to Play The game consists of three stages, an ice stage, a grass stage, and a dirt stage. In all of the stages, the … Continue reading →

Group Members: Kevin Marcell Michael Our final project is about to make a game with a theme of empathy. Empathy is being able to relate or share feelings with another person in a look like situation. Our game will be … Continue reading →

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