This research was motivated by vehicle users who did not remember when to service their vehicle, causing damage to the vehicle. Therefore, a system is needed to provide information about vehicle service schedules using electronic media, one of which is WhatsApp messages. This research was conducted at TOMO Pondok Mahkota Motor. The research method is a quantitative method. The data collection techniques used were interviews, observation and questionnaires. In preparing this application system, the UML method was used. Application development using the PHP programming language and preparation of database structures using MySQL. The research results show that this system is useful for recording customer data, providing information on the next four-wheeled vehicle service schedule to customers, customers find out information on the next four-wheeled vehicle service schedule via WhatsApp notifications. 

Companies in making a decision require good consideration, therefore we need a system that helps provide information from good data processing so that it becomes the basis for decision making. This analysis aims to create a decision support system that can help the company to provide an overview of the decision to procure a new fleet that the company wants to buy.This decision support information system is implemented using the Hypertext Preprocessor (PHP) programming language and MySsql as the database application so that the desired features are created and neatly stored in operating the information system.This decision support information system also uses the Weighted Product method which is used to assist in decision making in determining the procurement of new fleets.The end result of this decision support information system is to combine a programming language with the Weighted Product method which can be used for decision making in determining which new fleet to buy, where the calculations are based on several predetermined criteria so that their use is on target.