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The interesting idea of a Smart City can be realized by developing conventional things into more effective and efficient innovations with the Internet of Things (IoT). Parking is one of the most crucial needs in the most city in Indonesia. The large number of vehicles, inefficient parking systems, and about existing parking system in Indonesia. This research aims to redesign an ergonomic, modern and solution parking system to effectively reduce parking problems in Indonesia. VOC was obtained through a questionnaire distributed to parking lot users at FTI UII and Pakuwon Mall to determine consumer needs as an initial database for data processing using the QFD and HOQ methods. Then Usability testing was carried out on the UI prototype of the proposed parking application which had been designed as material for evaluating and developing a parking system based on 3 ISO attributes. Next, the results of the iteration based on the previous method are repeated to achieve optimal product design through an ergonomic participatory FGD approach with stake holders and ergonomic experts. The final iteration results were agreed as a proposed parking system to answer the problems and challenges of the Smart City concept.

Smart Garden is a system design created to make work in plantations easier. Currently, most Indonesians use sling type lawn mowers because they are cheap but can causing noise and air pollution. It can also cause CTDS in users due to bad posture while using the tool. The researchers innovated an IoT-based automatic cutting machine. Where in the machine application, the machine can be moved using a smartphone connected using bluetooth. Which consists of two options, namely machine and vacuum. The REBA method are used to analyzing ergonomics for all parts of the body and a usability method which will determine the extent to which the product can achieve effectiveness, efficiency and comfort. This data collection was carried out by distributing the SUS questionnaire. The REBA results showed that the average body posture at moderate risk had a score of 7.8 and 9 which required further analysis of the bent posture even though it was still classified as moderate. Meanwhile, the results of the usability approach use a questionnaire as a reference for processing data. From this data, users can accept the presence of the Control Smart System Application and are quite satisfied with the interface used.

While using automatic vacuum cleaners, users found dissatisfaction namely dust problem, obstacle problem, and narrow space problem. Therefore, the problems in this automatic vacuum cleaner must be fixed so that it can maximize user productivity. The methods that researchers will use to carry out this research include the participatory ergonomic which is a method for translating consumer needs into an optimal and solutive products by gain aspirations from users and stakeholders. The next method is Maynard Operation Sequence Technique which is a predetermined motion time method that aims to determine the standard time for doing work. There are also participatory usability and ergonomics methods that help this research. For the dust problem, researchers have looked for a solution to the problem, namely by adding SLAM and Artificial Intelligence logarithms to the automatic. For the narrow space problem, researchers have designed different nozzles for the automatic to use. For this exact problem, researchers have added a crevice nozzle to the automatic so that the automatic can insert suction in narrow areas such as the back of cupboards. Researchers created this feature so that users no longer need to bother cleaning dust from sofas, tables and other items in the user’s room.