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<![CDATA[REKONSTRUKSI OBYEK TIGA DIMENSI DARI CITRA DUA DIMENSI MENGGUNAKAN EPIPOLAR GEOMETRY ]]>
<![CDATA[Rachmawati, Rachmawati]]>;
<![CDATA[Hidayat, Risanuri]]>;
<![CDATA[Wibirama, Sunu]]>
<![CDATA[ Jurnal Teknologi Vol 5 No 2 (2012): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta ]]>
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<![CDATA[Teknik rekonstruksi objek tiga dimensi terbagi menjadi 2 kategori, yaitu metode aktif: akuisisi model 3D dapat dilakukan dengan laser scanner atau cahaya terstruktur. Metode pasif : rekonstruksi model 3D dengan sekumpulan gambar dari sebuah atau beberapa kamera. Object scanning terkadang membutuhkan peralatan yang mahal dan keahlian khusus untuk mengoperasikan. Sebagai pendekatan yang sederhana dan murah, rekonstruksi objek berdasarkan gambar menjadi lebih popular bagi para peneliti. Paper ini menjelaskan rekonstruksi obyek tiga dimensi (3D) dari kumpulan gambar citra dua dimensi (2D) yang diambil menggunakan sebuah kamera dari posisi berbeda.Tahapan rekonstruksi dapat dibagi menjadi empat bagian: pertama, ekstraksi titik fitur, kedua menghitung fundamental matrik dari titik – titik yang berkoresponden, ketiga menghitung matrik kamera dan terakhir mendapatkan titik-titik 3D untuk semua pasangan titik citra. Tujuan dari penelitian ini adalah merekonstruksi sebuah obyek 3D menggunakan citra 2D yang diperoleh dengan sebuah kamera dari sudut pandang yang berbeda.Sebagai obyek penelitian adalah sebuah miniatur candi Borobudur.Rekonstruksi koordinat 3D objek candi Borobudur dilakukan dengan algoritma DLT, dan dari hasil rekonstruksi didapat error reproyeksi sebesar 8.864x10-06piksel. Kata kunci :, citra, ,]]>
<![CDATA[Sistem Pelacak Gerakan Mata 3D ]]>
<![CDATA[Sunu Wibirama]]>
<![CDATA[ Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009 ]]>
Publisher : <![CDATA[Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia ]]>
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<![CDATA[Perancangan sistem pelacak gerakan mata dengan algoritma yang akurat adalah masalah mendasar padabidang penelitian pengolahan citra biomedis dan pembelajaran sistem oculomotor mata manusia. Makalah inimenjelaskan perancangan sistem pelacak gerakan mata 3D dengan menggunakan algoritma template matchingdan Direct Linear Transformation (DLT). Posisi 2D, meliputi posisi vertikal dan horizontal dari bola mata,didapatkan dengan menggunakan dua buah kamera dan algoritma template matching. Posisi gerakan mata 3Ddiperoleh dengan algoritma DLT dan dimodelkan pada sistem koordinat 3D. Hasil pengujian menunjukkanbahwa sistem yang dirancang memiliki tingkat akurasi yang cukup baik dengan nilai error pada gerakan X, Y,dan Z adalah 0.1768, 0.117, dan 0.3077 untuk skala error 0 sampai dengan 1.Kata Kunci: sistem pelacak gerakan mata, template matching, direct linear transformation]]>
<![CDATA[Analisis Aksesibilitas Website berdasarkan Web Content Accessibility Guidelines (WCAG): Ulasan Literatur Sistematis (An Analysis of Website Accessibility Based on Web Content Accessibility Guidelines (WCAG): A Systematic Literature Review) ]]>
<![CDATA[Dwi Fithriyaningrum]]>;
<![CDATA[Sri Suning Kusumawardhani]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ IPTEK-KOM : Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi Vol 23, No 1 (2021): Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) ]]>
Publisher : <![CDATA[BPSDMP KOMNFO Yogyakarta, Kementerian Komunikasi dan Informatika ]]>
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DOI: 10.33164/iptekkom.23.1.2021.79 - 92
<![CDATA[Website memberikan banyak kemudahan bagi masyarakat untuk memperoleh informasi. Akan tetapi, masih banyak website yang sulit diakses oleh pengguna penyandang disabilitas karena belum mengikuti pedoman Web Content Accessibility Guidelines (WCAG). WCAG merupakan pedoman aksesibilitas website yang disepakati dunia internasional. Makalah ini akan memaparkan mengenai kajian literatur penelitian aksesibilitas website yang menggunakan alat evaluasi otomatis. Rujukan penelitian ini adalah makalah yang diterbitkan mulai dari tahun 2015 sampai 2020. Hasil kajian literatur menunjukkan bahwa alat evaluasi yang banyak digunakan oleh peneliti adalah Wave, Taw, dan Achecker. Pemilihan alat evaluasi disesuaikan dengan hasil laporan yang diinginkan oleh peneliti. Sebagian besar website yang telah diteliti sampai saat ini belum ada yang sepenuhnya memenuhi standar level A. Text alternative, use of color, link purpose, headings and labels merupakan kekurangan yang sering ditemukan dan menyebabkan website tidak memenuhi standar. Penelitian aksesibilitas banyak dilakukan terhadap website perguruan tinggi dan website pemerintahan agar lebih inklusif. Makalah ini dapat berkontribusi untuk memberikan wawasan mengenai aksesibilitas website supaya lebih mudah diakses oleh pengguna, termasuk pengguna penyandang disabilitas.]]>
<![CDATA[Texture feature extraction for the lung lesion density classification on computed tomography scan image ]]>
<![CDATA[Hasnely Hasnely]]>;
<![CDATA[Hanung Adi Nugroho]]>;
<![CDATA[Sunu Wibirama]]>;
<![CDATA[Budi Windarta]]>;
<![CDATA[Lina Choridah]]>
<![CDATA[ Communications in Science and Technology Vol 1 No 1 (2016) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.1.1.2016.14
<![CDATA[The radiology examination by computed tomography (CT) scan is an early detection of lung cancer to minimize the mortality rate. However, the assessment and diagnosis by an expert are subjective depending on the competence and experience of a radiologist. Hence, a digital image processing of CT scan is necessary as a tool to diagnose the lung cancer. This research proposes a morphological characteristics method for detecting lung cancer lesion density by using the histogram and GLCM (Gray Level Co-occurrence Matrices). The most well-known artificial neural network (ANN) architecture that is the multilayers perceptron (MLP), is used in classifying lung cancer lesion density of heterogeneous and homogeneous. Fifty CT scan images of lungs obtained from the Department of Radiology of RSUP Dr. Sardjito Hospital, Yogyakarta are used as the database. The results show that the proposed method achieved the accuracy of 98%, sensitivity of 96%, and specificity of 96%.]]>
<![CDATA[Automated localisation of optic disc in retinal colour fundus image for assisting in the diagnosis of glaucoma ]]>
<![CDATA[Latifah Listyalina]]>;
<![CDATA[Hanung Adi Nugroho]]>;
<![CDATA[Sunu Wibirama]]>;
<![CDATA[Widhia KZ Oktoeberza]]>
<![CDATA[ Communications in Science and Technology Vol 2 No 1 (2017) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.2.1.2017.43
<![CDATA[Optic disc (OD), especially its diameter together with optic cup diameter can be used as a feature to diagnose glaucoma. This study contains two main steps for optic disc localisation, i.e. OD centre point detection and OD diameter determination. Centre point of OD is obtained by finding brightness pixel value based on average filtering.  After that, OD diameter is measured from the detected optic disc boundary. The proposed scheme is validated on 30 healthy and glaucoma retinal fundus images from HRF database.  The results are compared to the ground truth images. The proposed scheme obtains evaluation result (E) for healthy and glaucoma images is 0.23 and 0.21, respectively. These results indicate successful implementation of automated OD localisation by detecting OD centre point and determining OD diameter.]]>
<![CDATA[Detection of malaria parasites in thick blood smear: A review ]]>
<![CDATA[Faza Maula Azif]]>;
<![CDATA[Hanung Adi Nugroho]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ Communications in Science and Technology Vol 3 No 1 (2018) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.3.1.2018.75
<![CDATA[Based on data from World Health Organization, in 2015, there are 90% of deaths caused by malaria disease in Africa, Southeast Asia and countries of eastern Mediterranean. It makes the malaria become one of the most dangerous diseases that often leads to death. To support the diagnosis of malaria, early detection of plasmodium parasite is needed. Recently, malaria diagnosis process can be done with the help of computer, or often referred to as Computer Aided Diagnosis (CAD). By utilizing the digital image from the blood staining process, digital image processing can be performed to detect the presence of malaria parasite. There are 2 types of blood smear images that can be used in the malaria diagnosis process, namely, thin blood smear images and thick blood smear images. This paper provides a review of the techniques and methods used in the diagnosis of computer-assisted malaria using thick blood smear images as a diagnostic material.]]>
<![CDATA[Wart treatment method selection using AdaBoost with random forests as a weak learner ]]>
<![CDATA[M. Azka Putra]]>;
<![CDATA[Noor Akhmad Setiawan]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ Communications in Science and Technology Vol 3 No 2 (2018) ]]>
Publisher : <![CDATA[Komunitas Ilmuwan dan Profesional Muslim Indonesia ]]>
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DOI: 10.21924/cst.3.2.2018.96
<![CDATA[Selection of wart treatment method using machine learning is being a concern to researchers. Machine learning is expected to select the treatment of warts such as cryotherapy and immunotherapy to patients appropriately. In this study, the data used were cryotherapy and immunotherapy datasets. This study aims to improve the accuracy of wart treatment selection with machine learning. Previously, there are several algorithms have been proposed which were able to provide good accuracy in this case. However, the existing results still need improvement to achieve better level of accuracy so that treatment selection can satisfy the patients. The purpose of this study is to increase the accuracy by improving the performance of weak learner algorithm of ensemble machine learning. AdaBoost is used in this study as a strong learner and Random Forest (RF) is used as a weak learner. Furthermore, stratified 10-fold cross validation is used to evaluate the proposed algorithm. The experimental results show accuracy of 96.6% and 91.1% in cryotherapy and immunotherapy respectively.]]>
<![CDATA[Rekonstruksi Objek 3D dari Multiple Images ]]>
<![CDATA[Rachmawati]]>;
<![CDATA[Risanuri Hidayat]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 2 No 1: Februari 2013 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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<![CDATA[3D reconstruction is a task of recovering 3D geometry and color information. There are two categories of 3D object reconstruction: active method, 3D model acquisition can be performed by laser scanner or structured light. Passive methods, reconstruct 3D models by image sequences from a single camera or multiple cameras. Object scanning often demand expensive equipment and special skill to operate. As a simple and low cost approach, 3D reconstruction based images became more popular among the researches. In this study apply passive reconstruction technique, the reconstruction of 3D objects made using images taken from different viewpoint leading to the same object using a digital camera.To determine the corresponding points of the two views used epipolar geometry and Direct Linear Triangulation algorithm (DLT). All required parameters are extracted from the image itself, without any calibration of the camera before. The reconstruction process can divided into four part: first, feature point extraction. Second estimate the fundamental matrix from point correspondences, third compute the camera matrix, and the end compute 3D point from image points. All the required parameters are recovered from the images. As objects of experiment used a miniatur of a statue. Experiment result show the residual error from estimation fundamental matrix is 9.9051 x10-04, and reprojection error 1.714 x 10-03 pixel. Visually, the reconstructed 3D model reseamble the shape of the original object.]]>
<![CDATA[Rekonstruksi dan Visualisasi Objek 3-D Berbasis Algoritma Direct Linear Transformation ]]>
<![CDATA[Sunu Wibirama]]>;
<![CDATA[Risanuri Hidayat]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 2: Mei 2012 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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<![CDATA[Visual reconstruction and modeling of three dimensional (3-D) object is an emerging research topic in computer vision and photogrammetry fields. Nowadays, many commercial products are developed to obtain 3-D model of rigid object, starting from small ancient heritages to city landscape. Such commercial tools are very expensive and not accessible for education and research purpose. This paper aims to present a low-cost approach to generate a 3-D model from geometry of multiple two-dimensional (2-D) images using consumer-level Digital Single Lens Reflection (DSLR) camera. Direct Linear Transformation (DLT) algorithm was used to obtain 3-D point cloud. Texturization of 3-D object was generated by implementing Convex Hull and Random Sample Consensus (RANSAC) algorithms. Experimental result of small Merlion Singapore statue and large Herz-Jesu building shows that the proposed low-cost method is able to visually reconstruct small and large objects by using 10-20% feature points detected on 2D images.]]>
<![CDATA[Virtual Reality-based Platformer Games Development for Elevating Architectural Heritage Awareness ]]>
<![CDATA[Ahmad Nasikun]]>;
<![CDATA[Bagas Y. Wijonarko]]>;
<![CDATA[Raja Bagus Arief Rahman]]>;
<![CDATA[Anugerah Galang Persada]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 1, No 3 (2017): September 2017 ]]>
Publisher : <![CDATA[Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM ]]>
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DOI: 10.22146/ijitee.33592
<![CDATA[As a country with abundant traditional culture, Indonesia is facing serious challenge in conserving them. There is a need to promote the traditional culture to a wider area of people, particularly to the younger generation. Virtual world offers a new way of promoting a nation’s culture via Virtual Reality (VR). This research aims to develop a VR-based platformer mobile game to promote cultural awareness in a new and creative way for younger generation. In the game, a player can observe one famous architectural heritage in Yogyakarta—Mesjid Gedhe Kauman—in fun way of game. A survey is conducted to measure its success in reaching the predetermined goals and to measure its user experience (UX). The survey confirm that the VR-based platformer game helps them in learning cultural value of the architecture (62.5/100) and it is relatively easy to navigate (72.5/100). Moreover, it has a good user experience (UX) score—all are above 0.8, meaning that its users are generally comfortable in playing the game.]]>
