Implementasi Algoritma Teorema Bayes Dengan Pemodelan UML Untuk Mendiagnosis Tingkatan Gangguan Autisme Di SLB Pelita Hati

  • Finanta Okmayura Universitas Muhammadiyah RIau
  • Weni Oktavia Agus
  • Melati Angguni
  • Reihan Hersi Saputro
  • Nouval Ditya Mufty
Keywords: Teorema Bayes, UML design, Autisme

Abstract

Autism, as a complex developmental disorder in children with special needs, involves delays in aspects of cognition, emotion, behavior, and social interaction. This research proposes an innovation by applying UML modeling and Bayes Theorem Algorithm to detect the level of autism disorder in Sekolah Luar Biasa (SLB) Pelita Hati. The SLB environment, faced with limited human resources and an increasing number of students, is a major challenge. The developed expert system provides an efficient solution with quick recommendations, reduces the expert's workload, and increases the detection accuracy of autism disorders. The expert approach with Bayes' Theorem provides an accurate insight into the complexity of autism disorders. Bayes' theorem is used to calculate the probability of events based on relevant observations. The application of UML modeling in the design of the expert system proved successful, producing an effective solution to support the diagnosis and treatment of autism disorders in SLB Pelita Hati. The results showed an accuracy of 94%, signifying a heavy level of confidence, with therapy recommendations such as Physiotherapy Therapy, Speech Therapy, Remedial Therapy, Cognitive Therapy, and Game Therapy, Occupational Therapy, Sensory Integrity. This research makes an important contribution in addressing the challenges in autism diagnosis approaches in special education settings.

Downloads

Download data is not yet available.

References

[1] M. Fajrin and T. Rustini, “Pendekatan Komunikasi Interpersonal Guru Dalam Meningkatkan Interaksi Sosial Anak Autisme Di Sekolah Dasar Inklusif,” J. Kiprah Pendidik., vol. 1, no. 3, pp. 174–180, 2022, doi: 10.33578/kpd.v1i3.43.
[2] R. Irawan, A. Raharjo, A. Mulyono, and S. N. Afifi, “Aplikasi Praktis dan Mudah Mengenali Gejala Anak Autisme Sejak Dini,” ABDI MOESTOPO J. Pengabdi. Pada Masy., vol. 5, no. 1, pp. 109–117, 2022, doi: 10.32509/abdimoestopo.v5i1.1769.
[3] Fadlan Isa Damanik and Said Iskandar Al-Idrus, “Diagnosa Autisme Pada Anak Dengan Sistem Pakar Menggunakan Metode Forward Chaining,” J. Student Res., vol. 1, no. 2, pp. 448–460, 2023, doi: 10.55606/jsr.v1i2.1063.
[4] B. A. Ananda, “Permodelan UML Untuk Peracangan Sistem Pakar Diagnosa Penyakit Pada Jaringan Gigi Menggunakan Teorema Bayes,” J. Fasilkom, vol. 13, no. 01, pp. 33–40, 2023, doi: 10.37859/jf.v13i01.4893.
[5] N. I. Ramadani Lubis, S. Saniman, and J. Halim, “Sistem Pakar Mendiagnosa Penyakit Ephelis (Flek Hitam) Pada Kulit Wajah Dengan Menggunakan Metode Teorema Bayes,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 5, no. 1, p. 33, 2022, doi: 10.53513/jsk.v5i1.4076.
[6] F. Okmayura et al., “Pemodelan UML Untuk Perancangan Sistem Pakar Diagnosa Dini Cedera Awal Pada Peserta Olahraga Beladiri Menggunakan Pendekatan Teorema Bayes,” vol. 7, no. 1, pp. 31–40, 2023, [Online]. Available: http://e-journal.unipma.ac.id/index.php/doubleclickPemodelanUMLUntukPerancanganSistemPakarDiagnosaDini….
[7] N. Purnomo, Riko Muhammad Suri, Devi Yuliana, and M. Rasyid, “Sistem Pakar Identifikasi Penyakit Kulit Melanoma dengan Metode Teorema Bayes,” J. KomtekInfo, vol. 10, pp. 56–63, 2023, doi: 10.35134/komtekinfo.v10i2.368.
[8] J. Informasi, Y. Muflihah, and G. P. Karya, “Diagnosa Penyakit Kulit Pada Hewan Kucing Menggunakan Metode Forward Chaining,” vol. 5, no. 3, pp. 51–57, 2023, doi: 10.60083/jidt.v5i3.388.
[9] M. Zulham, D. Saripurna, and M. Z. Siambaton, “Aplikasi Diagnosa Penyakit Hepatitis dengan Menggunakan Metode Teorema Bayes dan Certainty Factor,” Blend Sains J. Tek., vol. 2, no. 1, pp. 1–15, 2023, doi: 10.56211/blendsains.v2i1.241.
[10] F. Okmayura et al., “nagari Penduduk,” vol. 4, no. 1, pp. 27–34, 2022.
[11] D. M. M. Y. Sari, N. M. D. Puspitawati, I. M. A. Wardana, and N. W. Viniari, “Meningkatkan Implementasi Program Training Hours Dengan Melakukan Dokumentasi Dan Pembuatan Laporan Bulanan Di Hotel Capella Ubud,” Pros. Semin. Nas. Pengabdi. Masy., vol. 2, no. 1, pp. 247–261, 2023.
[12] M. Syarif and W. Nugraha, “Pemodelan Diagram UML Sistem Pembayaran Tunai Pada Transaksi E-Commerce,” J. Tek. Inform. Kaputama, vol. 4, no. 1, p. 70 halaman, 2020, [Online]. Available: http://jurnal.kaputama.ac.id/index.php/JTIK/article/view/240
[13] K. Yaman, “Penerapan Sistem Informasi Akuntansi Berbasis Online Dengan Accurate Online di Kebuli Yaman Implementation Of Online-Based Accounting Information System with Accurate Online in,” vol. 4, no. 1, pp. 29–38, 2023.
[14] M. Ramadhan, B. Anwar, R. Gunawan, and R. Kustini, “PADA TANAMAN KOPI MENGGUNAKAN METODE,” vol. 4307, no. June, pp. 115–121, 2021.
[15] B. Sapriatin and A. F. Sianturi, “Penerapan Teorema Bayes Mendeteksi Stunting pada Balita,” J. Media Inform., vol. 3, no. 1, pp. 24–37, 2021.
[16] A. Wenda, Kraugusteeliana, A. Suryanto, and S. Alam, “Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes,” J. Media Inform. Budidarma, vol. 7, no. 2, pp. 82–88, 2023, doi: 10.30865/mib.v7i1.5394.
[17] D. Nofriansyah, R. Gunawan, and E. Elfitriani, “Sistem Pakar Untuk Mendiagnosa Penyakit Pertussis (Batuk Rejan) Dengan Menggunakan Metode Teorema Bayes,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 3, no. 1, p. 41, 2020, doi: 10.53513/jsk.v3i1.194.
[18] Fahry Muhammad Adid, “Sistem Pakar Deteksi Kerusakan Mesin Mistsubishi 6D16 Pada Kapal Nelayan Menggunakan Metode Teorema Bayes,” J. Informatics, Electr. Electron. Eng., vol. 2, no. 3, pp. 83–91, 2023, doi: 10.47065/jieee.v2i3.889.
[19] P. S. Informatika, F. T. Informasi, and U. M. Buana, “Sistem Pakar Diagnosa Penyakit Kelamin Dengan Teorema Bayes,” pp. 257–267.
[20] B. Juliartha, M. Putra, A. Fu, D. Ariani, and F. Yuniarti, “Analisa dan Rancangan Sistem Informasi Pariwisata Pacitan dengan UML dan ERD,” vol. 7, no. 1, pp. 63–72, 2022.
Published
2024-08-23
How to Cite
Okmayura, F., Agus, W. O., Angguni, M., Saputro, R. H., & Mufty, N. D. (2024). Implementasi Algoritma Teorema Bayes Dengan Pemodelan UML Untuk Mendiagnosis Tingkatan Gangguan Autisme Di SLB Pelita Hati . Jurnal CoSciTech (Computer Science and Information Technology), 5(2), 402-417. https://doi.org/10.37859/coscitech.v5i2.7507
Abstract views: 25 , PDF downloads: 25