With the growth of internet usage, millions of internet application were developed to improve living quality of people. People rely on those applications to help them in daily problem from almost all sector. Restaurant recommender system is one of these application. Restaurant recommender system is an application which recommender dining place to people. Restaurant is a dining place where people need to go everyday if people unable to prepare meal themselves. Restaurant provide plenty choices of delicious food which cooked by professional chef and comfortable environment likes air-conditioned. Everyday, restaurant will be filled by crowd during meal time and part of the crowd can just wait to be seated. This is really uncomfortable and a waste in time. In addition of the spread of Covid-19 pandemic, people also need to prevent themselves to a crowded area because crowded area contains high risk to be infected. Therefore, people have to decide where to eat to prevent themselves to a crowded restaurant. However, it is hard for them to make a decision because people don�t know detail about situation of the restaurant such as waiting time needed and crowd flow rate. Therefore, restaurant recommender system is proposed to help people in deciding their dining place. The system would be a mobile application able to collect current information from the people and environment then investigate the situation using machine learning. To do so, huge amount of data need to be collected. Then, an output about detail of restaurant should be shown clearly to user. The technique machine learning allow system improve due to the different requirement of user and location. The system could recommend a suitable place to having meal which is near to user, no queue needed and satisfy user�s eating habit.