Determination of the Type of Child Development Disorders with the Dempster Shafer Method
Abstract
Children are the most beautiful gift for parents. These awards sometimes have deficiencies or many of them experience disturbances during their development. There are various kinds of developmental disorders that children suffer from, including: autism, ADHD, ADD, speech delay, Asperger's syndrome, and Taurette's syndrome. In Indonesia, 5% of the school-age population to some degree suffers from developmental disorders, one of which is Hyperactivity Disorder. Hyperactivity Disorder is experienced more by boys than girls, with an estimate of 2-4% for girls, and 6-9% for boys aged 6-12 years. One of the real challenges nowadays is the high cost to do a health check. So that many children are not brought by their parents to undergo examinations because of limited funds. In addition to funding, the lack of experts or specialists in the field of child health is also a factor for parents' reluctance to have their children examined. Situations that often occur in areas, especially those far from the city center. In this study, the Dempster Shafer method will provide an initial diagnosis and classification of the types of child development disorders into several classifications such as in the case of Hyperactivity Disorder, with the categories of Hyperactivity, Impulsivity and Inattention. Based on the results of manual calculations using the Dempster Shafer, a presentation value of 0.6 is obtained leading to inclusive disease. It is also a factor that parents are reluctant to have their children examined. Situations that often occur in areas, especially those far from the city center. In this study, the Dempster Shafer method will provide an initial diagnosis and classification of the types of child development disorders into several classifications such as in the case of Hyperactivity Disorder, with the categories of Hyperactivity, Impulsivity and Inattention. Based on the results of manual calculations using the Dempster Shafer, a presentation value of 0.6 is obtained leading to inclusive disease. It is also a factor that parents are reluctant to have their children examined. Situations that often occur in areas, especially those far from the city center. In this study, the Dempster Shafer method will provide an initial diagnosis and classification of the types of child development disorders into several classifications such as in the case of Hyperactivity Disorder, with the categories of Hyperactivity, Impulsivity and Inattention. Based on the results of manual calculations using the Dempster Shafer, a presentation value of 0.6 is obtained leading to inclusive disease. and Intention. Based on the results of manual calculations using the Dempster Shafer, a presentation value of 0.6 is obtained leading to inclusive disease. and Intention. Based on the results of manual calculations using the Dempster Shafer, a presentation value of 0.6 is obtained leading to inclusive disease.
References
[2] Breton, M. D. Al Hamdani, and A. Aziz, “Emotional Spiritual Quotient (Esq) Dalam Pembelajaran Pendidikan Agama Islam Kurikulum 2013,” J. Penelit. Pendidik. Islam., vol. 6, no. 1, pp. 77–110, 2018.
[3] H. Setiawan, “Sistem Pakar Identifikasi Jenis Virus Pada Komputer Menggunakan Metode Dempster Shafer Berbasis Android,” Ubiquitous Comput. its Appl. J., vol. 2, no. 2, pp. 123–130, 2019.
[4] Syailendra, and F. Bimantoro, “Sistem pakar diagnosa penyakit kulit pada manusia dengan metode dempster shafer,” J. Comput. Sci. Informatics Eng., vol. 4, no. 2, pp. 129–138, 2018.
[5] Rahmadani, “Sistem Pakar Diagnosis Penyakit pada Ayam dengan Menggunakan Metode Dempster Shafer,” J. Comput. Sci. Informatics Eng., vol. 4, no. 1, pp. 26–35, 2020.
[6] Doddy Teguh Yuwono, Implementasi Metode Dempster Shafer Pada Sistem Pakar Diagnosa Gangguan Kepribadian, 2019
[7] Dina Hastar, Sistem Pakar untuk Mendiagnosis Gangguan Mental Anak Menggunakan Metode Dempster Shafer, 2018
[8] Muh Thariq Hasan, Penerapan Damster Shafer Untuk Menentukan Tipe Autisme Pada Anak Usia Dini Berbasis Android, 2018
[9] Hairani, Metode Dempster-Shafer untuk Diagnosis Dini Jenis Penyakit Gangguan Jiwa Skizofrenia Berbasis Sistem Pakar, 2021
[10] Muhammad Alkaff, Sistem Pakar Berbasis Android untuk Mendeteksi Jenis Perilaku ADHD pada Anak, 2018
[11] B. H. Hayadi, Sistem Pakar. Deepublish, 2018.
[12] H. T. Sihotang, E. Panggabean, and H. Zebua, “Sistem Pakar Mendiagnosa Penyakit Herpes Zoster Dengan Menggunakan Metode Teorema Bayes,” J. Inform. Pelita Nusant., vol. 3, no. 1, 2018.
[13] M. Alkaff, H. Khatimi, Y. Sari, P. Darmawan, and R. Primananda, “Sistem Pakar Berbasis Android untuk Mendeteksi Jenis Perilaku ADHD Pada Anak,” J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 2, pp. 135–140, 2019.
[14] A. P. W. G. R. Pangaribuan, W. P. Mustika, and A. Wanto, “Pemilihan Jenis Sapi bagi Peternak Sapi Potong dengan Metode SMART,” Algoritm. J. Ilmu Komput. dan Inf., vol. 3, no. 1, pp. 30–37, 2019.
[15] K. E. Setyaputri, A. Fadlil, and S. Sunardi, “Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT,” J. Tek. Elektro, vol. 10, no. 1, pp. 30–35, 2018.
[16] S. Nurajizah and M. Saputra, “Sistem Pakar Berbasis Android Untuk Diagnosa Penyakit Kulit Kucing Dengan Metode Forward Chaining,” J. Pilar Nusa Mandiri, vol. 14, no. 1, pp. 7–14, 2018.
[17] I. H. Santi and B. Andari, “Sistem Pakar Untuk Mengidentifikasi Jenis Kulit Wajah dengan Metode Certainty Factor,” Intensif J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 3, no. 2, pp. 159–177, 2019.
[18] R. N. Putri and L. Goeirmanto, “Aplikasi Sistem Pakar Untuk Diagnosa Penyakit Diabetes Melitus dengan Algoritma Certainty Factor Berbasis Web,” J. Apl. Dan Inov. Ipteks SOLIDITAS, vol. 3, no. 2, pp. 106–112, 2020.
[19] H. Zheng and Y. Deng, “Evaluation method based on fuzzy relations between Dempster–Shafer belief structure,” Int. J. Intell. Syst., vol. 33, no. 7, pp. 1343–1363, 2018.
[20] R. R. Rerung, Pemrograman Web Dasar. Deepublish, 2018.
[21] M. T. Prihandoyo, “Unified Modeling Language (UML) Model Untuk Pengembangan Sistem Informasi Akademik Berbasis Web,” J. Inform. J. Pengemb. IT, vol. 3, no. 1, pp. 126–129, 2018.
[22] Y. Siron, L. Muslihah, N. Sari, and A. E. S. Dina, “Diet Anak Attention Deficit Hyperactivity Disorder (ADHD): Tantangan Orang Tua,” J. Pendidik. Anak Usia Dini Undiksha, vol. 8, no. 3, 2021.
[23] R. Firka, E. Chundrayetti, and Y. Alioes, “Hubungan Riwayat Pemberian ASI dengan Kecenderungan Attention Deficit Hyperactivity Disorder (ADHD) pada Siswa SD di Kota Padang,” J. Kesehat. Andalas, vol. 9, no. 1S, 2020.
[24] L. Warni, “Perilaku Anak Hiperaktif di Raudhatul Athfal Al-Huda Tahun Ajaran 2019-2020.” Universitas Islam Negeri Sumatera Utara, 2020.

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