**Author details**

**Figure 9** is the main menu display of the application when the application starts. The main menu includes Rice Ontology, Rice Info, Rice Dishes, and Rice Seller. The Rice Selection feature makes it easy to find types of rice processed foods that are common in Indonesia. After the type of processing is selected, the user can click the "Calculate" button. After clicking the "Calculation" button, it will display the type of rice and the brand that sells the rice in Indonesia. There is a menu to return to the selection of processed types, to return to the main menu, or to exit the application. Based on the results, the information presented in the application is complete and valid following the results of interviews from experts. In the first scenario, several developments exist after the system is created which can make it easier for people to know information about the depressive disorder. Previously to find out the type of depressive disorder, users cannot know quickly, while after this application, users can know that depressive disorder has several types. In the process of estimating the type of depressive disorder, previously it was difficult for the user to estimate whether he had a specific depressive disorder, while after this application, the user could estimate the depressive disorder that he had or whether he did not

In the second scenario, previously in the rice selection process, the user used perceptions without specific guidelines and benchmarks, while after the application of the expert system, there could be a proper and correct reference for selecting each rice selection. In the delivery of information, the user previously conveyed information about the suitability of rice with processing based on perceptions and little knowledge of others, while after this application, information about the suit-

ability of rice can be obtained quickly and surely whenever and wherever.

produces the following Android-based applications:

*Ontological Analyses in Science,Technology and Informatics*

that can be a feature of a person having a depressive disorder.

Based on the results of the research that has been carried out, these are the several conclusions for health and food problems using the ontology method, which

In the first scenario: In each type of depressive disorder, it can be concluded that the characteristics of a person experiencing depressive disorder can be seen from how long someone feels it. Besides, it can be seen whether someone becomes more irritable, whether someone always feels sad, whether someone is coming for a month, whether someone has had medical treatment, whether someone is a drug user, and whether someone has another psychological diagnosis. The results of all

In the second scenario: Users have the convenience of being able to choose the type of rice that matches the desired rice processing and recommendations of the right type and brand through an Android-based smartphone application that can be

accessed anytime and anywhere. By using this expert system, the process of selecting rice types for beginners becomes more appropriate according to expert

have it at all.

**5. Conclusions**

recommendations.

**64**

Friska Natalia\*, Dea Cheria and Santi Surya Universitas Multimedia Nusantara, Tangerang, Indonesia

\*Address all correspondence to: friska.natalia@umn.ac.id

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
