**5. Conclusions**

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 produces the following Android-based applications:

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

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 recommendations.

**Author details**

**65**

Friska Natalia\*, Dea Cheria and Santi Surya

provided the original work is properly cited.

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,

*An Ontology-Based Approach to Diagnosis and Classification for an Expert System in Health…*

*DOI: http://dx.doi.org/10.5772/intechopen.88180*

*An Ontology-Based Approach to Diagnosis and Classification for an Expert System in Health… DOI: http://dx.doi.org/10.5772/intechopen.88180*
