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All Journal International Journal of Electrical and Computer Engineering Abdimasku : Jurnal Pengabdian Masyarakat
Ihtifazhuddin Hawari
Universitas Dian Nuswantoro Semarang
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Social Sciences

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Pengembangan, Penyuluhan dan Hibah Tangan Prostetik Bagi Anak-Anak Penyandang Disabilitas Tuna Daksa di YPAC Kota Semarang Aripin Aripin; Dedi Nurcipto; Menik Dwi Kurniatie; Dita Ayu Mayasari; Vincent Suhartono; Ihtifazhuddin Hawari
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 1 (2023): Januari 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v6i1.887

Abstract

Salah satu permasalahan yang masih dihadapi oleh pemerintah Kota Semarang adalah tingginya warga penyandang Tuna Daksa. Berdasarkan data Penyandang Masalah Kesejahteraan Sosial (PMKS) Dinas Sosial Kota Semarang, bahwa jumlah penyandang disabilitas untuk jenis tuna daksa adalah 1.758 jiwa. Menurut Wali Kota Semarang Hendrar Prihadi, masih banyak warga penyandang tuna daksa khususnya anak-anak di YPAC Kota Semarang yang memerlukan alat bantu tangan prostetik agar anak-anak dapat beraktifitas dengan normal. Kegiatan pengabdian kepada masyarakat ini bertujuan membantu anak-anak di YPAC Kota Semarang untuk memperoleh tangan prostetik sesuai dengan kebutuhan mereka yang diiringi dengan kegiatan penyuluhan dan pendampingan sehingga bantuan yang diberikan dapat dimanfaatkan secara optimal. Tahapan dalam kegiatan pengabdian kepada masyarakat ini, terdiri dari 1) Koordinasi dengan yayasan dan pengurus YPAC Kota Semarang, 2) Pendataan anak tuna daksa di YPAC Kota Semarang, 3) Perekaman bentuk dan ukuran tangan anak tuna daksa, 4) Proses desain tangan prostetik, 5) Proses Produksi, 6) Penyusunan buku manual penggunaan dan pemeliharaan tangan prostetik, dan 7) Penyuluhan dan pendampingan, serta hibah tangan prostetik kepada anak tuna daksa. Kegiatan pengabdian kepada masyarakat ini sangat penting untuk membantu anak tuna daksa di YPAC Kota Semarang sehingga dapat beraktifitas sehari-hari secara normal untuk meningkatkan prestasi belajarnya.
Convolutional neural network for assisting accuracy of personalized clavicle bone implant designs Mayasari, Dita Ayu; Hawari, Ihtifazhuddin; Dwiyanti, Sheba Atma; Noviyadi, Nathasya Reinelda; Andryani, Dinda Syaqila; Utomo, Muhammad Satrio; Hikmah, Nada Fitrieyatul; Asmaria, Talitha
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3208-3219

Abstract

The clavicle is a long bone that tends to be frequently fractured in the midshaft region. The plate and screw fixing method is mainly applied to address this issue. This study aims to construct a clavicle bone implant design with a consideration to achieve a high accuracy and high-quality surface between the plate and the clavicle surface. The computational tomography scanning (CT-scan) image series data were processed using a convolutional neural network (CNN) to classify the clavicle image. The CNN outcomes were gathered as three-dimensional (3D) volume data of clavicle bone. This 3D model was then proposed for the plate design. The CNN testing results of 97.4% for the image clavicle bones classification, whereas the prints of the 3D model from clavicle bone and its plate and screw design reveal compatibility between the bone surface and the plate surface. Overall, the CNN application to the series of CT images could ease the classification of clavicle bone images that would precisely construct the 3D model of clavicle bone and its suitable clavicle bone plate design. This study could contribute as a guideline for other bone plate areas that need to fit the patient’s bone geometry.
Co-Authors Andryani, Dinda Syaqila Aripin Asmaria, Talitha Dedi Nurcipto, Dedi Dita Ayu Mayasari, Dita Ayu Dwiyanti, Sheba Atma Hikmah, Nada Fitrieyatul Menik Dwi Kurniatie Noviyadi, Nathasya Reinelda Utomo, Muhammad Satrio Vincent Suhartono