Implementasi Aplikasi Konsultasi Kesehatan Jiwa Dengan Algoritma Kepakaran dan Jaringan Syaraf Tiruan
Abstract
Keywords
Full Text:
PDFReferences
Belzunegui-Eraso, A., & Erro-Garcés, A. (2020). Teleworking in the context of the Covid-19 crisis. Sustainability (Switzerland), 12(9). https://doi.org/10.3390/su12093662
Cénat, J. M., Mohammad, S., Moshirian, M., Dalexis, R. D., Darius, W. P., Mansoub, F., Poisson, H., Broussard, C., Ukwu, G., Auguste, E., Nguyen, D. D., Sehabi, G., Aouame, M. El, & Khodabocus, S. N. (2022). The global evolution of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis of longitudinal studies. https://doi.org/10.1016/j.jad.2022.07.011
Nano Prawoto, Eko Priyo Purnomo, & Abitassha Az Zahra. (2020). The Impacts of Covid-19 Pandemic on Socio-Economic Mobility in Indonesia. International Journal of Economics and Business Administration, Volume VII(Issue 3), 57–71.
Zen Munawar, D. (2021). Pemanfaatan Teknologi Digital Di Masa Pandemi Covid-19. Jurnal Teknologi Informasi Komunikasi, 8(2), 160–175.
Jahani, A., Kalantary, S., & Alitavoli, A. (2021). An application of artificial intelligence techniques in prediction of birds soundscape impact on tourists’ mental restoration in natural urban areas. Urban Forestry and Urban Greening, 61(March), 127088. https://doi.org/10.1016/j.ufug.2021.127088
Chung, C. C., Chiu, W. T., Huang, Y. H., Chan, L., Hong, C. T., & Chiu, H. W. (2021). Identifying prognostic factors and developing accurate outcome predictions for in-hospital cardiac arrest by using artificial neural networks. Journal of the Neurological Sciences, 425(March), 117445. https://doi.org/10.1016/j.jns.2021.117445
Huang, X., Wang, H., Luo, W., Xue, S., Hayat, F., & Gao, Z. (2021). Prediction of loquat soluble solids and titratable acid content using fruit mineral elements by artificial neural network and multiple linear regression. Scientia Horticulturae, 278(December 2020), 109873. https://doi.org/10.1016/j.scienta.2020.109873
Saibene, A., Assale, M., & Giltri, M. (2021). Expert systems: Definitions, advantages and issues in medical field applications. Expert Systems with Applications, 177(July 2020), 114900. https://doi.org/10.1016/j.eswa.2021.114900
Hsieh, K. L. (2011). Employing a recommendation expert system based on mental accounting and artificial neural networks into mining business intelligence for study abroad’s P/S recommendations. Expert Systems with Applications, 38(12), 14376–14381. https://doi.org/10.1016/j.eswa.2011.03.078
Fiarni, C., Gunawan, A. S., Ricky, Maharani, H., & Kurniawan, H. (2015). Automated Scheduling System for Thesis and Project Presentation Using Forward Chaining Method with Dynamic Allocation Resources. Procedia Computer Science, 72, 209–216. https://doi.org/10.1016/j.procs.2015.12.133
Kim, Y. H., Song, J. H., & Park, J. H. (2009). An expert system for fatigue life prediction under variable loading. Expert Systems with Applications, 36(3 PART 1), 4996–5008. https://doi.org/10.1016/j.eswa.2008.06.041
S. Nurajizah, “Sistem Pakar Berbasis Android Untuk Diagnosa Penyakit Kulit Kucing dengan Metode Forward Chaining,” Jurnal PILAR Nusa Mandiri, vol. 14, pp. 7-14, 2018.
DOI: https://doi.org/10.33633/tc.v22i2.8038
Article Metrics
Abstract view : 325 timesPDF - 255 times
Refbacks
- There are currently no refbacks.
Diterbitkan Oleh :
Jurnal Techno.Com terindex di :
Jurnal Teknologi Informasi Techno.Com (p-ISSN : 1412-2693, e-ISSN : 2356-2579) diterbitkan oleh LPPM Universitas Dian Nuswantoro Semarang. Jurnal ini di bawah lisensi Creative Commons Attribution 4.0 International License.