Mental Health Helper: Intelligent Mobile Apps in the Pandemic Era

Authors

  • Anggunmeka Luhur Prasasti Telkom University http://orcid.org/0000-0001-6197-4157
  • Iftitahrira Aulia Rahmi Telkom University
  • Syarifah Faisa Nurahmani Telkom University
  • Ashri Dinimaharawati Telkom University

DOI:

https://doi.org/10.26555/jiteki.v7i3.22012

Keywords:

Mental Health, Artificial Intelligence, Expert System, Mobile Application

Abstract

Every human being faces various episodes of events that can cause changes in mental health conditions, including this coronavirus pandemic disease. The ups and downs of the psychological turmoil dynamics resulted, and also traumatic feelings can occur continuously or for a certain period. It can cause an adverse response for those who experience it and even cause anxiety or mental disorders. The implementation of restrictions on community activities during these pandemic circumstances makes people who want to check their mental health condition difficult to meet the experts or professionals such as psychologists. Therefore, the application that can detect these anxiety disorders as early as possible to minimize unwanted effects was developed. In the making of the application, an expert system is used to determine the results of the diagnosis. The expert system requires knowledge that is produced from experts, especially in the psychology field. The data that has been obtained will be processed and then yield the results determined from the classification of anxiety types using several methods in Artificial Intelligence. Several tests were carried out 50 times using Certainty Factor methods to obtain an accuracy rate of 96%. It has similar accuracy compared to the Naïve Bayes method. This application called Mental Health Helper has a validity and reliability test to prove that this application is valid and reliable. It has better performance than previous researches, which still only has two classes of diseases.

Author Biographies

Anggunmeka Luhur Prasasti, Telkom University

Anggunmeka Luhur Prasasti (born in Pasuruan, 1990) received her Engineering degree in Telecommunication Engineering from Telkom Institute of Technology (Telkom University) in 2012. She obtained her master degree in Biomedical Engineering Program, from School of Electrical Engineering and Informatics, Institut Teknologi Bandung on 2015. Her current research interests are artificial intelligent in signal processing and machine learning implementation to detect any kind of diseases, forecast condition such as rain possibility, and crowd density in an area. She's used to compete several international IT competitions such as Microsoft Imagine Cup and Asia Pacific ICT Awards, to name a few. She could be reached through anggunmeka@telkomuniversity.ac.id

Iftitahrira Aulia Rahmi, Telkom University

Iftitahrira Aulia Rahmi (born in Kisaran, 1999) received her Engineering degree in Computer Engineering from Telkom University in 2021. Her final project in bachelor degree is was about expert systems. She concern about learning more things about expert systems and design UI/UX. She could be reached through email: iftitahriraa@student.telkomuniversity.ac.id

Syarifah Faisa Nurahmani, Telkom University

Syarifah Faisa Nurahmani was born on November 18th 1999 in Jakarta. She graduated from Telkom University with a Bachelor Degree of Computer Engineering this year. Her final project was about android application development and expert system. She wants to learn more about application development and artificial intelegence. Email: syarifahfaisa@student.telkomuniversity.ac.id

Ashri Dinimaharawati, Telkom University

Ashri Dinimaharawati (born in Bandung, 1993) received her Education degree in Computer Science Education from Indonesia University of Education in 2015. She obtained her master degree in Electrical Engineering , from School of Electrical Engineering and Informatics, Institut Teknologi Bandung on 2018. Her current research interests are  games development and programming. She's used to compete several national competition such as Line dev competition . She could be reached through ashridini@telkomuniversity.ac.id

References

F. Kaligis, M. T. Indraswari, and R. I. Ismail, "Stress during COVID-19 pandemic: mental health condition in Indonesia," Medical Journal of Indonesia, vol. 29, no. 4, pp. 436-41, 2020. https://doi.org/10.13181/mji.bc.204640

P. M. Doraiswamy, C. Fox and J. Gordon, "How the Pandemic Is Changing Mental Health," Scientific American, 14 September 2021. https://www.scientificamerican.com/article/how-the-pandemic-is-changing-mental-health/

SZ Zhao, JYH Wong, Y Wu, EPH Choi, Wang MP, and Lam TH, "Social Distancing Compliance under COVID-19 Pandemic and Mental Health Impacts: A Population-Based Study," International Journal of Environmental Research and Public Health, vol. 17, no. 18, p. 6692, 2020. https://doi.org/10.3390/ijerph17186692

P. A. Association, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), United States of America: American Psychiatric Publishing, 2013.

A. Papić, A. Hefer, and T. Krstanović, “Information Anxiety: Research Among Students About Impact of Different Media On Them,†MIPRO 2012 - 35th Int. Conv. Inf. Commun. Technol. Electron. Microelectron. - Proc., pp. 1244–1248, 2012. https://ieeexplore.ieee.org/abstract/document/6240827

J. Alrassi, P. J. Katsufrakis, and L. Chandran, "Technology Can Augment, but Not Replace, Critical Human Skills Needed for Patient Care," Academic Medicine, vol. 96, no. 1, pp. 37-43, 2020. https://doi.org/10.1097/ACM.0000000000003733

F. H. Syahrial, B. Irawan, and A. L. Prasasti, "Detecting Hand, Foot and Mouth Disease in Earlier Stage Using C4. 5 Algorithm as Expert System Based on Android," In Journal of Physics: Conference Series, vol. 1201, no. 1, p. 012059, IOP Publishing, 2019. https://doi.org/10.1088/1742-6596/1201/1/012059

D. Novitasari, B. Irawan, and A. L. Prasasti, "Early Detection of Hand, Foot, and Mouth Disease based on Palmprint using Certainty Factor as Expert System Method based on Android," In Journal of Physics: Conference Series, vol. 1201, no. 1, p. 012055, IOP Publishing, 2019. https://doi.org/10.1088/1742-6596/1201/1/012055

F. A. R. F. Rizki, B. Irawan, and A. L. Prasasti, "Deteksi Hand, Foot, and Mouth Disease Menggunakan Metode Klasifikasi Naïve Bayes Berbasis Android," In Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), vol. 1, no. 1, 2019. http://seminar-id.com/prosiding/index.php/sainteks/article/view/225

M. A. Adheena, N. Sindhu, and S. Jerritta, “Physiological Detection of Anxiety,†2018 Int. Conf. Circuits Syst. Digit. Enterp. Technol. ICCSDET 2018, pp. 1–5, 2018. https://doi.org/10.1109/ICCSDET.2018.8821162

Ana, A. (2020). Trends in expert system development: A practicum content analysis in vocational education for over grow pandemic learning problems," Indonesian Journal of Science and Technology, vol. 5, no. 2, 246-260. https://doi.org/10.17509/ijost.v5i2.24616

R. Fulmer, A. Joerin, B. Gentile, L. Lakerink, and M. Rauws, "Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety: randomized controlled trial," JMIR mental health vol. 5, no. 4, p. e64, 2018. https://doi.org/10.2196/mental.9782

A. Andriani, A. Meyliana, Sardiarinto, W. E. Susanto, and SupriYesnta, “Certainty Factors in Expert System to Diagnose Disease of Chili Plants,†2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, no. Citsm, pp. 1–6, 2019. https://doi.org/10.1109/CITSM.2018.8674264

B. S. Adamczyk, A. L. Szejka, and O. C. Júnior, "Knowledge-based expert system to support the semantic interoperability in smart manufacturing," Computers in Industry, vol. 115, p. 103161, 2020. https://doi.org/10.1016/j.compind.2019.103161

D. Kiray, and F. A. Sianturi, "Diagnose Expert System Computer Malfunction Certainty Factor Method," Journal of Computer Networks, Architecture, and High-Performance Computing, vol. 2, no. 1, pp. 63-71, 2020. https://doi.org/10.47709/cnapc.v2i1.358

S. Santhoshkumar and L. D. Babu, "Earlier detection of rumors in online social networks using certainty-factor-based convolutional neural networks," Social Network Analysis and Mining, vol. 10, no. 1, pp. 1-17, 2020. https://doi.org/10.1007/s13278-020-00634-x

Laurentinus, Kiswanto, R. Sulaiman, F. P. Juniawan, D. Y. Sylfania, P. Kurniawan, and H. A. Pradana, "Design Fuzzy Expert System And Certainty Factor In Early Detection Of Stroke Disease," In 2020 8th International Conference on Cyber and IT Service Management (CITSM), pp. 1-7, IEEE, 2020. https://doi.org/10.1109/CITSM50537.2020.9268830

I. Wickramasinghe, and H. Kalutarage, "Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation," Soft Computing, vol. 25, no. 3, pp. 2277-2293, 2021. https://doi.org/10.1007/s00500-020-05297-6

A. A. N. Purnomo, S. Andryana, and A. Iskandar, "Application of Expert System for Diagnosing Gastric Disease Android Based with Certainty Factor Method," Jurnal Teknik Informatika CIT Medicom, vol. 12, no. 1, pp. 7-15, 2020.

K. Ain, H. B. Hidayati, and O. A. Nastiti, "Expert System for Stroke Classification Using Naive Bayes Classifier and Certainty Factor as Diagnosis Supporting Device," In Journal of Physics: Conference Series, vol. 1445, no. 1, p. 012026, IOP Publishing. https://doi.org/10.1088/1742-6596/1445/1/012026

H. Fonda, M. Ikhsanudin, and Y. Irawan, "Application Of Certainty Factor Method To Identify Pests In Crystal Jamboo Plants," In Journal of Physics: Conference Series, vol. 1783, no. 1, p. 012053, IOP Publishing, 2021. https://doi.org/10.1088/1742-6596/1783/1/012053

I. Sumatorno, D. Arisandi, A. P. U. Siahaan, and M. Mesran, "Expert System of Catfish Disease Determinant Using Certainty Factor Method," International Journal of Recent Trends in Engineering & Research, vol. 3, no. 8, 2017. https://doi.org/10.23883/IJRTER.2017.3405.TCYZ2

S. Chen, G. I. Webb, L. Liu, and Xin Ma, "A novel selective naïve Bayes algorithm," Knowledge-Based Systems, vol. 192, p. 105361, 2020. https://doi.org/10.1016/j.knosys.2019.105361

A. Khajenezhad, M. A. Bashiri, and H. Beigy, "A distributed density estimation algorithm and its application to naive Bayes classification," Applied Soft Computing, vol. 98, 106837, 2021. https://doi.org/10.1016/j.asoc.2020.106837

D. A. Kurniawan and S. W. Sihwi, "An expert system for diagnosing dysgraphia," In 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), pp. 468-472, IEEE, 2017. https://doi.org/10.1109/ICITISEE.2017.8285552

E. Chebanenko, L. Denisova, and A. Serobabov, "Intelligent Processing of Medical Information for Application in the Expert system," In 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), pp. 0085-0088, IEEE, 2020. https://doi.org/10.1109/USBEREIT48449.2020.9117723

L. Cohen, L. Manion, and K. Morrison, "Validity and reliability," In Research methods in education, pp. 245-284, Routledge, 2017. https://doi.org/10.4324/9781315456539-14

H. K. Mohajan, "Two criteria for good measurements in research: Validity and reliability," Annals of Spiru Haret University, Economic Series, vol. 17, no. 4, pp. 59-82, 2017. https://doi.org/10.26458/1746

A. G. Silva, P. Simões, A. Queirós, M. Rodrigues, and N. P. Rocha, "Mobile apps to quantify aspects of physical activity: a systematic review on its reliability and validity," Journal of medical systems, vol. 44, no. 2, pp. 1-19, 2020. https://doi.org/10.1007/s10916-019-1506-z

C. Livas, K. Delli, F. K. Spijkervet, A. Vissink, and P. U. Dijkstra, "Concurrent validity and reliability of cephalometric analysis using smartphone apps and computer software," The Angle Orthodontist, vol. 89, no. 6, pp. 889-896, 2019. https://doi.org/10.2319/021919-124.1

Downloads

Published

2022-01-10

How to Cite

[1]
A. L. Prasasti, I. A. Rahmi, S. F. Nurahmani, and A. Dinimaharawati, “Mental Health Helper: Intelligent Mobile Apps in the Pandemic Era”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 7, no. 3, pp. 479–490, Jan. 2022.

Issue

Vol. 7 No. 3 (2021): December

Section

Articles

License

Authors who publish with JITEKI agree to the following terms:

  1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. 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 this journal.
  3. 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.

Lisensi Creative Commons

This work is licensed under a Creative Commons Attribution 4.0 International License

Similar Articles

<< < 1 2 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)