Sistem Pakar Diagnosis Mood Disorder Pada Anak Menggunakan Pendekatan Dempster-Shafer Theory
DOI:
https://doi.org/10.47065/bulletincsr.v4i6.374Keywords:
Dempster-Shafer Theory; DST; Diagnosis; Mood Disorders; Expert SystemAbstract
Mood disorders in children are a serious mental health issue that can have long-term impacts on their emotional, social, and academic development. In Indonesia, the limited availability of mental health professionals, especially in remote areas, hinders the process of fast and accurate diagnosis. Manual diagnosis of mood disorders in children often faces challenges in terms of time, resources, and professional expertise, creating a need for an effective solution to support medical practitioners. This research aims to develop a web-based expert system to detect mood disorders in children using the Dempster-Shafer Theory (DST) approach. DST is chosen as the primary method due to its ability to process ambiguous or incomplete information, enabling the integration of multiple pieces of evidence to generate accurate decisions. The system allows users to perform diagnoses based on input symptoms, accompanied by analysis results and follow-up recommendations. The expert system is developed as a web-based platform to optimize accessibility, allowing users to easily carry out the diagnosis process without time and location constraints. Evaluation of the system shows an accuracy rate of 92.5%, validating the effectiveness of DST in mood disorder diagnosis. This research contributes to supporting early detection of children's mental health issues and facilitates the identification of mood disorders based on the symptoms experienced.
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References
R. Fadli, “5 Jenis Gangguan Suasana Hati yang Perlu Diketahui,” Halodoc, 2023. https://www.halodoc.com/artikel/5-jenis-gangguan-suasana-hati-yang-perlu-diketahui
N. Aisyaroh, I. Hudaya, and R. Supradewi, “Trend Penelitian Kesehatan Mental Remaja di Indonesia dan Faktor yang Mempengaruhi: Literature Review,” Sci. Proc. Islam. Complement. Med., vol. 1, no. 1, pp. 41–51, 2022, doi: 10.55116/spicm.v1i1.6.
I. Darlis, A. Putri, S. R. Kas, P. Yanti, A. A. Allo, and M. Mustakim, “Edukasi Kesehatan Mental Dalam Meningkatkan Pengetahuan Remaja di SMAN 8 Maros,” Wind. Community Dedication J., vol. 04, no. 02, pp. 67–74, 2023.
S. Sekhon and V. Gupta, Mood Disorder. StatPearls Publishing, Treasure Island (FL), 2023. [Online]. Available: http://europepmc.org/books/NBK558911
M. Safitri, F. Insani, N. Yanti, and L. Oktavia, “Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode Certainty Factor,” J. Sist. Komput. dan Inform., vol. 4, no. 4, pp. 594–603, 2023, doi: 10.30865/json.v4i4.6309.
T. Anjarsari1, I. R. I. Astutik, and U. Indahyanti, “Deteksi Dini Gangguan Kecemasan Menggunakan Metode Naïve Bayes,” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 07, no. 04, pp. 1198–1210, 2022.
A. N. Sari and A. Afifudin, “Sistem Pakar Untuk Mendiagnosa Kesehatan Jiwa Manusia Menggunakan Fuzzy,” J. Teknol. Pint., vol. 2, no. 10, pp. 1–14, 2022.
D. R. D. Putri and M. R. Fahlevi, “Penerapan Teorema Bayes Dalam Mendiagnosa Gangguan Kepribadian Paranoid,” J. Sains Komput. Inform., vol. 4, no. 2, pp. 545–551, 2020.
Y. Fernando, R. Napianto, and R. I. Borman, “Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls,” Insearch Inf. Syst. Res. J., vol. 2, no. 2, pp. 46–54, 2022.
N. Nugroho, R. Destriana, and I. Nanda, “Implementasi Metode Dempster-Shafer Theory pada Sistem Pakar Deteksi Jenis Trauma,” Insearch Inf. Syst. Res. J., vol. 3, no. 2, pp. 63–72, 2023.
M. Erkamim, M. Tonggiroh, N. Y. S. Munti, and Y. Rahmanto, “Implementasi Dempster-Shafer Theory Sebagai Mesin Inferensi Pada Sistem Pakar Diagnosa Penyakit Cerebral Palsy,” J. Sist. Komput. dan Inform., vol. 5, no. 2, pp. 298–307, 2023, doi: 10.30865/json.v5i2.6940.
M. Nugraheni, R. Nuraini, M. Tonggiroh, and S. Nurhayati, “Expert System for Diagnosing Learning Disorders in Children Using the Dempster- Shafer Theory Approach,” Sink. J. dan Penelit. Tek. Inform., vol. 8, no. 4, pp. 2513–2525, 2023.
I. Ahmad, Y. Rahmanto, D. Pratama, and R. I. Borman, “Development of Augmented Reality Application for Introducing Tangible Cultural Heritages at The Lampung Museum Using The Multimedia Development Life Cycle,” Ilk. J. Ilm., vol. 13, no. 2, pp. 187–194, 2021.
H. Hairani, K. Kurniawan, K. A. Latif, and M. Innuddin, “Metode Dempster-Shafer untuk Diagnosis Dini Jenis Penyakit Gangguan Jiwa Skizofrenia Berbasis Sistem Pakar,” Sist. J. Sist. Inf., vol. 10, no. 2, pp. 280–289, 2021.
N. Hidayat, R. Saragih, and H. Khair, “Diagnosa Penyakit Turunan (Heraditas) Imbisil Pada Manusia Dengan Metode Dempster Shafer,” ULIL ALBAB J. Ilm. Multidisiplin, vol. 1, no. 10, pp. 3780–3788, 2022.
R. I. Borman, R. Napianto, P. Nurlandari, and Z. Abidin, “Implementasi Certainty Factor Dalam Mengatasi Ketidakpastian Pada Sistem Pakar Diagnosa Penyakit Kuda Laut,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. VII, no. 1, pp. 1–8, 2020.
K. Wen, Y. Song, C. Wu, and T. Li, “A Novel Measure of Uncertainty in the Dempster-Shafer Theory,” IEEE Access, vol. 8, pp. 51550–51559, 2020, doi: 10.1109/ACCESS.2020.2979605.
E. G. Wahyuni and W. Prijodiprodjo, “Prototype Sistem Pakar untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner dengan Metode Dempster-Shafer,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 7, no. 2, p. 133, 2013, doi: 10.22146/ijccs.3352.
R. Napianto, Y. Rahmanto, R. I. Borman, O. Lestari, and N. Nugroho, “Dhempster-Shafer Implementation in Overcoming Uncertainty in the Inference Engine for Diagnosing Oral Cavity Cancer,” CSRID (Computer Sci. Res. Its Dev. Journal), vol. 13, no. 1, pp. 45–53, 2021, doi: 10.22303/csrid.13.1.2021.46-54.
R. I. Borman, Y. Fernando, and Y. E. P. Yudoutomo, “Identification of Vehicle Types Using Learning Vector Quantization Algorithm with Morphological Features,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 5, no. 2, pp. 339–345, 2022.
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