Muhammad Daffa Blog

This semester, I learn about Intelligent System which includes machine learning and AI.

I did not come at week 1 so I don’t have progress at the time.

Week 2 -4

In this time period,  we were tasked to form a team for our final project. However, since I’m new to this Intelligent System stuff, I don’t know what to make or thing since I’m not even used to have AI help in my life so, in this time period, I’m still adapting to the course.

I did not come at week 5 so I don’t have progress at the time.

Week 6 – 9

The first project that we plan on my team is face recognition. In this time period, I have learned more or less about the Intelligent system so I can search what we are going to need in our project.  But as time goes on,  I learn that making face recognition is very hard and to be honest, I’m very lazy to do it, therefore, at this time period, we dump our first initial idea and try to form another idea.

Week 10 -13

In this time period, we are trying to formulate our final project and with the help of my sibling, we are decided that we are going to make a simulation-based on death rate and so we are trying to search possible algorithm that can calculate death rate so we found that decision tree regression and linear regressor can fulfill our need so I search code and database from Kaggle to be a reference for our project and found it and decided that calculating suicide rate is gonna be our final project. The day before the presentation, I try to consult our final project to mam Nurul and after a bit of me getting lectured, I found a breakthrough for our project and I need to implement another algorithm to compare since our final project is an analysis of algorithms, our team decided to use Root Mean Squared Error as our basis for comparison. Since I have a group of three, we split our work, One member is in charge of the PPT since I’m Lazy to do it while another team member is in charge of plotting the result of RMSE. The night before the presentation is the day I make the most progress on our final project, In the end, thanks to me and my group pulling an all-nighter, we implement 2 more Algorithms to compare which is Random tree which is basically an algorithm with a lot of decision tree, support vector regressor and linear regressor. On the day of our final presentation, my group presents our final project and then I celebrate that I don’t have to deal with Intelligent System again until the final exam come.

Trivia Game Contribution

In This Project I’m in charge of on how the game is design and how the player interact with the option we give to the player and the coding for the game.

on the start of the game the player will be given a Question with 4 answers and the player need to answer the question fast since the player only be given a limited number of time to answer the question or else they will fail.

On The first iteration of the game I imagine that the player only have 1 life so if a player ran out of time or the player will lose the game, But the player will have access to a help button that which function to make the question easier. After some testing the game feel to slow with the help button which is the opposite what is the game intended fast-paced answering and so the help button is scrapped.

After deleting the help button, I decided to go simple and only give the players the option to answers the question as fast as possible. The problem with this iteration is that the game feels too punishing for the player while giving the player mediocre reward which is not good.

After some adjustment and feedback, we decided to give the players 3 life to give the player a chance if they mess up a question while also make an adjustment to the scoring system.

For the scoring system, i decided to giving the player the score based on how many time left, that way the player will be rewarded by thinking faster and correctly.

At the end of the game, the player will be given two kind of score, the first one is the score the player achieve at the session of the game and the second one is the high score of the previous session of the game. The reason for this kind of scoring is to give the player the initiative to be better at the game in order to beat the high score.

Game Guide

Game Title : Quiz Hayati

 

Team Members:

Muhammad Daffa Akbar Fadilah

Titan Russo

Galastu Chandra Utama

 

In this game guide, we are going to tell the reader on how to play the game.

 

 

The goal of this game is to answer questions correctly.

 

All of the quiz material in this game is based on “keanekaragaman hayati” Biology material.

At the start of the game the player will be given 3 life points. As long as there are at least 1 life point the game will continue infinitely and the only way to end the game is to have zero life.

As you can see in the screenshot above, the player needs to choose the correct answer to the question. If the player answers correctly, the player will receive points based on how fast the player answer the question. For example, if the player answers correctly with 8 second left on that question then that player will get 8 points.

To answer questions, the player just simply need to click the correct answer with a mouse based on the question.

If the player answers incorrectly, one life point will be taken away.

 

At the end of the game the player’s score will be compared to their highest score from previous sessions.

 

Player Controller : Mouse

 

Contribution of each members.

Muhammad Daffa Akbar Fadilah : Coding and designing the flow of the game.

Titan Russo                                       : Crafting questions and gathering assets

Galastu Chandra Utama                 : Documentation and troubleshooting

 

Resourced used in the game.

Question From : https://www.muttaqin.id/2016/12/soal-biologi-keanekaragaman-hayati-kunci-jawaban.html

Music From : Benjamin TISSOT

SFX From : Alexander from orangefreesounds.com

Font From : Kimberly Geswein from fontspace.com

Background From : http://www.seekgif.com/free-image/blackboard-background