Indonesia is a country that has a wealth of diverse cultures spread from Sabang to Merauke. Even though the government has included a lesson about Indonesian culture in terms of some subjects such as Art and Culture, but there are still many people including some students who do not know the forms and names of the tribes, traditional houses, traditional clothing, folk songs, traditional foods, local weapons, and musical instruments regions in Indonesia. Therefore, a learning application is created that utilizes mobile learning technology. Through the use of mobile learning, user can access learning content without any borders so that it can be accessed at any time so that it can be accessed at any time with interesting illustration. Indonesia National Culture Application is made useful to help users in learning the introduction of Indonesian culture that provides the knowledge with illustrations in the form of images, audio, text and video. This application also can be functioned to learn, answer quiz, to view a gallery of images and video and to do puzzle games. The achieved result is an application that can provide knowledge to the users so they can know the culture in Indonesia through the illustrations provided well.

PT. X is a consumer good company with a variety of products such as consumption salt, packaged cooking oil, soap, sugar, and so on. Currently PT. X has distribu

Since the first case of Covid-19, it is evidence that the spread of the disease in Indonesia is unavoidable. The virus continues to be widespread in Indonesian cities, one of which is Surabaya. Surabaya attained the ’crimson zone’ status on June 2, 2020 due to the drastic increase of positive Covid-19 cases which tallies to 2748 people. The rapid pace at which Covid-19 spreads can result in a high death rate. This research tries to prevent high casualty rates by predicting the need for health equipment, isolation rooms, medical personnel, and the need for Personal Protective Equipment (PPE) for Covid-19 patients. There are two methods used for the sake of predicting, namely the Artificial Neural Network (ANN) and Susceptible Infectious Recovered Decease (SIRD) methods. The methods being mentioned will have their accuracies tested using error measurement methods which include the Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). After measurements have been made, the prediction results from these 2 methods will be utilized to calculate the needs for equipment, isolation rooms, medical personnel, and PPE needs based on the regulatory patterns owned by the S, N, and X hospitals. Based on the results of the website implementation analysis, the ANN method is shown to have average error rates of 68,7467 for training and 75,4533 for testing based on the MAD method, 12487,67 for training and 13957,9267 for testing based on the MSE method, and 19,57% for training and 17,6% for testing based on the MAPE method. The SIRD method is shown to have average error rates of 551,1533, 1072639,5567, and 26,3033% for the MAD, MSE, and MAPE methods respectively.

Machine learning is a method used to create programs that can learn from data or applications. In contrast to ordinary static computer programs, machine learning programs are programs designed to be able to learn on their own. Machine learning technology has been widely applied in various fields, including in chemistry. Currently the introduction of basic chemical objects is a study that has many concepts that are easy for beginners to understand and imagine, such as atomic structure and molecular shape in chemical bonds. So that an alternative learning media is needed in order to improve understanding of the concept of chemical objects interactively. Machine learning technology is expected to provide a more realistic interaction and is an advancement of a promising technological method that can motivate users to engage in a more active learning system.