Recommendation System in the Form of an Ontology-Based Chatbot for Healthy Food Recommendations for Teenagers
DOI:
10.29303/jppipa.v9i7.4401Published:
2023-07-25Downloads
Abstract
Adolescents need adequate nutrition to support their growth and to avoid nutritional problems, such as malnutrition or obesity. Nutritional issues during adolescence can significantly influence health problems in adulthood. Although information about nutrition science is widely available on the internet, accurate interpretation requires specialized knowledge of nutrition science. Therefore, a system is needed to provide direct recommendations for healthy food to adolescents. In this study, a recommendation system in the form of a chatbot was developed to recommend healthy food that meets the nutritional needs of adolescents. The system was constructed using Ontology supplemented with Semantic Web Rule Language (SWRL), enabling the recommendation of food according to adolescents' health conditions. From the collected sample data, 150 food menus were recommended. Validation results by nutrition experts showed a precision value of 0.75, a recall of 1, and an F1-score of 0.857. These results indicate that the system is capable of providing appropriate food recommendations for adolescents.
Keywords:
Adolescent nutrition Chatbot Ontology Recommendation system Semantic web rule languageReferences
Agapito, G., Simeoni, M., Calabrese, B., Caré, I., Lamprinoudi, T., Guzzi, P. H., Pujia, A., Fuiano, G., & Cannataro, M. (2018). DIETOS: A dietary recommender system for chronic diseases monitoring and management. Computer Methods and Programs in Biomedicine, 153, 93–104. https://doi.org/10.1016/j.cmpb.2017.10.014
Ali, F., Islam, S. M. R., Kwak, D., Khan, P., Ullah, N., Yoo, S. jo, & Kwak, K. S. (2018). Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare. Computer Communications, 119, 138–155. https://doi.org/10.1016/j.comcom.2017.10.005
Benedict, F.G., & Harris, J. A. (1918). a Biometric Study of Human Basal Metabolism. Proceedings of the National Academy of Sciences, 4(12), 370–373. https://doi.org/10.1073/pnas.4.12.370
Chattopadhyay, A., Sethi, V., Nagargoje, V. P., Saraswat, A., Surani, N., Agarwal, N., Bhatia, V., Ruikar, M., Bhattacharjee, S., Parhi, R. N., Dar, S., Daniel, A., Sachdev, H. P. S., Singh, C. M., Gope, R., Nath, V., Sareen, N., De Wagt, A., & Unisa, S. (2019). WASH practices and its association with nutritional status of adolescent girls in poverty pockets of eastern India. BMC Women’s Health, 19(1). https://doi.org/10.1186/s12905-019-0787-1
Chiu, K., Clark, D. M., & Leigh, E. (2021). Cognitive predictors of adolescent social anxiety. Behaviour Research and Therapy, 137. https://doi.org/10.1016/j.brat.2020.103801
Das, J. K., Salam, R. A., Thornburg, K. L., Prentice, A. M., Campisi, S., Lassi, Z. S., Koletzko, B., & Bhutta, Z. A. (2017). Nutrition in adolescents: physiology, metabolism, and nutritional needs. In Annals of the New York Academy of Sciences (Vol. 1393, Issue 1). https://doi.org/10.1111/nyas.13330
Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., & Dean, M. (2004). SWRL: A Semantic Web Rule Language Combining OWL and RuleML. Retrieved from https://www.w3.org/Submission/SWRL/
Indonesia, M. K. R. (2020). Peraturan Menteri Kesehatan Republik Indonesia Nomor 2 Tahun 2020 Tentang Standar Antropometri Anak. Kementerian Kesehatan Republik Indonesia, 1–78.
Kementerian Kesehatan Republik Indonesia. (2017). Data Komposisi Pangan Indonesia. Jakarta.
Kementerian Kesehatan Republik Indonesia. (2018). Hasil utama riskesdas 2018 kesehatan [Main Result of Basic Heatlh Research]. Riskesdas, 52.
Leroy, J. L., Ruel, M., Sununtnasuk, C., & Ahmed, A. (2018). Understanding the determinants of adolescent nutrition in Bangladesh. Annals of the New York Academy of Sciences, 1416(1). https://doi.org/10.1111/nyas.13530
Lertkrai, P., Kaewboonma, N., & Lertkrai, J. (2018). Developing ontology of food and nutrition for Thai pre-school. AIP Conference Proceedings, 2016. https://doi.org/10.1063/1.5055474
McKensy-Sambola, D., RodrÃguez-GarcÃa, M. Ã., GarcÃa-Sánchez, F., & Valencia-GarcÃa, R. (2022). Ontology-based nutritional recommender system. Applied Sciences (Switzerland), 12(1). https://doi.org/10.3390/app12010143
Notoatmodjo, S. (2020). Promosi kesehatan teori & aplikasi. Rineka Cipta.
Oddo, V. M., Roshita, A., & Rah, J. H. (2019). Potential interventions targeting adolescent nutrition in Indonesia: A literature review. Public Health Nutrition, 22(1). https://doi.org/10.1017/S1368980018002215
RI, B. P., & P. K. K. (2018). Riskesdas, Riset Kesehatan Dasar.
Rukmana, E., Permatasari, T., & Emilia, E. (2021). The Association Between Physical Activity with Nutritional Status of Adolescents During the COVID-19 Pandemic in Medan City. Jurnal Dunia Gizi, 3(2). https://doi.org/10.33085/jdg.v3i2.4745
Salam, R. A., Hooda, M., Das, J. K., Arshad, A., Lassi, Z. S., Middleton, P., & Bhutta, Z. A. (2016). Interventions to Improve Adolescent Nutrition: A Systematic Review and Meta-Analysis. In Journal of Adolescent Health (Vol. 59, Issue 2). https://doi.org/10.1016/j.jadohealth.2016.06.022
Sapitri, A. I., Al-Faraby, S., & Adiwijaya, A. (2018). Analisis Metode Pattern Based Approach Question Answering System Pada Dataset Hukum Islam Berbasis Bahasa Indonesia. Jurnal Media Informatika Budidarma, 2(4), 159. https://doi.org/10.30865/mib.v2i4.950
Showafah, M., Sihwi, S. W., & Winarno. (2021). Ontology-based Daily Menu Recommendation System for Complementary Food According to Nutritional Needs using Naïve Bayes and TOPSIS. International Journal of Advanced Computer Science and Applications, 12(11), 638–645. https://doi.org/10.14569/IJACSA.2021.0121173
Soekarjo, D. D., Roshita, A., Thow, A. M., Li, M., & Rah, J. H. (2018). Strengthening Nutrition-Specific Policies for Adolescents in Indonesia: A Qualitative Policy Analysis. Food and Nutrition Bulletin, 39(3). https://doi.org/10.1177/0379572118785054
Spoladore, D., Colombo, V., Arlati, S., Mahroo, A., Trombetta, A., & Sacco, M. (2021). An ontology-based framework for a telehealthcare system to foster healthy nutrition and active lifestyle in older adults. Electronics (Switzerland), 10(17). https://doi.org/10.3390/electronics10172129
Velez, G. (2021). Learning peace: Adolescent Colombians’ interpretations of and responses to peace education curriculum. Peace and Conflict, 27(2). https://doi.org/10.1037/pac0000519
Waspadji, S., Semiardji, G., Sukardji, K., & Moenarko, R. (2007). Cara mudah mengatur makanan sehari-hari seimbang dan sesuai kebutuhan gizi. Balai Penerbit FKUI, Jakarta, 19.
License
Copyright (c) 2023 Nazar Azmi, Donni Richasdy, Hasmawati
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
