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All Journal Jurnal Surya Journal of Mathematics, Computation and Statistics (JMATHCOS)
Bota Muhammad Akbar
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Health Professions Mathematics Medicine & Pharmacology Nursing Public Health

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KOMORBIDITAS PENYANDANG CEREBRAL PALSY DI KOMUNITAS CEREBRAL PALSY METRO AL UM ANISWATUN KHASANAH; Efraldo Yudistira; Bota Muhammad Akbar
Surya : Jurnal Media Komunikasi Ilmu Kesehatan Vol 13, No 3 (2021): Jurnal Surya, Vol. 13, No. 03, Desember 2021
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/js.v13i3.298

Abstract

Background: Kondisi salah satu difabel macam-macam salah satunya yaitu Cerebral Palsy. Sebagian besar anak Cerebral Palsy paling sedikit memiliki satu kelainan penyerta atau komorbiditas. Pada data SCPE, komorbiditas yang paling umum ditemukan adalah gangguan berbahasa (71%), diikuti oleh gangguan intelektual (62%), epilepsi (39%), dan gangguan penglihatan (22%).Objectives: Tujuan penelitian untuk mengetahui masalah komorbiditas Cerebral Palsy sehubungan dengan  angka harapan hidup pasien yang bergantung pada beratnya disabilitas yang dialami pada komunitas Cerebral Palsy MetroDesign: Rancangan Penelitian ini merupakan penelitian deskriptif analitik dengan menggunakan desain cross sectional atau potong lintang. Dalam desain cross sectional digunakan pendekatan transversal, dimana observasi terhadap variabel bebas dan variabel terikat dilakukan hanya sekali pada saat yang sama.Dengan Jumlah sampel penelitian 50.Data Sources: Subjek penelitian laki-laki 31 (62%) dan perempuan 19 (38%), dengan sampel rentang usia antara 0-18 tahun. Peserta paling banyak pada tipe CP Spastik QuadriplegiaResults: hasil Komorbiditas Cerebral Palsy pada subjek penelitian. Pada Disabilitas intelektual berjumlah 30 (60%), Epilepsy berjumlah 19(38%), Gangguan visual 3(6%), Gangguan wicara 37(74%), Gangguan perkembangan dan pertumbuhan 14(28%), Gangguan BAB 10 (20%), Gangguan Pernapasan 4 (8%), Gangguan ortopedi deformitas ankle 23(46%), Gangguan deformitas scoliosis 21 (42%), Gangguan subluksasi Hip 9(18%), Gangguan tidur 11 (22%), yang mana perindividu Cerebral Palsy paling banyak memiliki tiga komorbiditas dan banyak dimiliki oleh tipe CP Spastik QuadriplegiaConclusions: Komorbiditas pada penyandang cerebral palsy di komunitas cerebral palsy  metro yang paling banyak pada gangguan wicara serta ditemukan lebih dari tiga komorbiditas pada individu cerebral palsy  dengan tipe CP spastik Quadriplegia.
PCA-SVM Classification: Motor Ability of Down Syndrome Based on Education, Economics And Physiotherapy Therapy Bota Muhammad Akbar; Al Um Aniswatun Khasanah; Sangidatus Sholiha; Wardhani Utami Dewi
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.7261

Abstract

The classification of motor abilities of individuals with Down Syndrome is essential to identify more effective developmental patterns. However, research that integrates educational, economic, and physiotherapy factors in the classification model is still limited, especially in the application of machine learning-based methods. The purpose of this study is to classify using PCA-SVM on the motor ability of DS based on education, economics, and physiotherapy therapy. PCA is used to reduce the dimensions of the dataset by extracting the main features that have the greatest variation, thereby increasing the efficiency and accuracy of classification. Meanwhile, SVM with Radial Base Function RBF Kernel is applied to build a classification model capable of handling non-linear data and finding optimal hyperplanes as the separation boundary between classes. This study used 50 samples obtained from POTADS in Lampung Province, Indonesia. The results showed that PCA successfully extracted three main components that explained 80.2% of the variance of the data. The SVM model achieved an overall accuracy of 80.2%, with the highest classification success rate at Level 1 (100%) and Level 3 (75%), while Level 2 had some classification errors due to a wider variation in sample characteristics. This study implies that the resulting model can be used to identify individuals at risk of motor difficulties, allowing for earlier and targeted behavior. In addition, the results of this study can be a reference for medical practitioners and educators in developing therapy and education strategies that are more in line with the needs of each individual.
Co-Authors Al Um Aniswatun Khasanah AL UM ANISWATUN KHASANAH Efraldo Yudistira Sholiha, Sangidatus Wardhani Utami Dewi