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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[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.]]>
<![CDATA[Analysis of Segmentation Parameters Effect towards Parallel Processing Time on Fuzzy C Means Algorithm ]]>
<![CDATA[Cepi Ramdani]]>;
<![CDATA[Indah Soesanti]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 1, No 4 (2017): December 2017 ]]>
Publisher : <![CDATA[Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM ]]>
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DOI: 10.22146/ijitee.35025
<![CDATA[Fuzzy C Means algorithm or FCM is one of many clustering algorithms that has better accuracy to solve problems related to segmentation. Its application is almost in every aspects of life and many disciplines of science. However, this algorithm has some shortcomings, one of them is the large amount of processing time consumption. This research conducted mainly to do an analysis about the effect of segmentation parameters towards processing time in sequential and parallel. The other goal is to reduce the processing time of segmentation process using parallel approach. Parallel processing applied on Nvidia GeForce GT540M GPU using CUDA v8.0 framework. The experiment conducted on natural RGB color image sized 256x256 and 512x512. The settings of segmentation parameter values were done as follows, weight in range (2-3), number of iteration (50-150), number of cluster (2-8), and error tolerance or epsilon (0.1 – 1e-06). The results obtained by this research as follows, parallel processing time is faster 4.5 times than sequential time with similarity level of image segmentations generated both of processing types is 100%. The influence of segmentation parameter values towards processing times in sequential and parallel can be concluded as follows, the greater value of weight parameter then the sequential processing time becomes short, however it has no effects on parallel processing time. For iteration and cluster parameters, the greater their values will make processing time consuming in sequential and parallel become large. Meanwhile the epsilon parameter has no effect or has an unpredictable tendency on both of processing time.]]>
<![CDATA[Prototype of Student Attendance Application Based on Face Recognition Using Eigenface Algorithm ]]>
<![CDATA[Tio Eko Prabowo]]>;
<![CDATA[Rudy Hartanto]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 1 (2019): March 2019 ]]>
Publisher : <![CDATA[Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM ]]>
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DOI: 10.22146/ijitee.46724
<![CDATA[Prototype of face recognition based attendance application that has been developed to overcome weaknesses in DTETI UGM student manual attendance system has several weaknesses. These weaknesses are a decrease in facial recognition accuracy when operating under conditions of varying environmental light intensity and in condition of face rotating towards z axis rotation centre. In addition, application prototype also does not yet have a database to store attendance results. In this paper, a new application prototype has been developed using Eigenface face detection and recognition algorithm and Haar-based Cascade Classifier. Meanwhile, to overcome prototype performance weaknesses of the previously developed application, a pre-processing method was proposed in another study was added. Processes in the method were geometry transformation, histogram levelling separately, image smoothing using bilateral filtering, and elliptical masking. The test results showed that in the category of various environmental light intensity conditions, face recognition accuracy from developed application prototypes was 16.71% better than previous application prototypes. Meanwhile, in category of face slope conditions at z axis rotation centre, face recognition accuracy from developed application prototype was 38.47% better. Attendance database system was also successfully implemented and running without error.]]>
<![CDATA[Eye Blink Classification for Assisting Disability to Communicate Using Bagging and Boosting ]]>
<![CDATA[Luthfi Ardi]]>;
<![CDATA[Noor Akhmad Setiawan]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021 ]]>
Publisher : <![CDATA[Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM ]]>
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DOI: 10.22146/ijitee.63515
<![CDATA[Disability is a physical or mental impairment. People with disability have more barriers to do certain activity than those without disability. Moreover, several conditions make them having difficulty to communicate with other people. Currently, researchers have helped people with disabilities by developing brain-computer interface (BCI) technology, which uses artifact on electroencephalograph (EEG) as a communication tool using blinks. Research on eye blinks has only focused on the threshold and peak amplitude, while the difference in how many blinks can be detected using peak amplitude has not been the focus yet. This study used primary data taken using a Muse headband on 15 subjects. This data was used as a dataset classified using bagging (random forest) and boosting (XGBoost) methods with python; 80% of the data was allocated for learning and 20% was for testing. The classified data was divided into ten times of testing, which were then averaged. The number of eye blinks’ classification results showed that the accuracy value using random forest was 77.55%, and the accuracy result with the XGBoost method was 90.39%. The result suggests that the experimental model is successful and can be used as a reference for making applications that help people to communicate by differentiating the number of eye blinks. This research focused on developing the number of eye blinks. However, in this study, only three blinking were used so that further research could increase these number.]]>
<![CDATA[Uji Validitas Konstruk The Centrality of Religiosity Scale (CRS-15) Pada Sampel Muslim ]]>
<![CDATA[Lisya Chairani]]>;
<![CDATA[Supra Wimbarti]]>;
<![CDATA[Subandi Subandi]]>;
<![CDATA[Sunu Wibirama]]>
<![CDATA[ Psikobuletin:Buletin Ilmiah Psikologi Vol 4, No 2 (2023): Psikobuletin: Buletin Ilmiah Psikologi ]]>
Publisher : <![CDATA[Universitas Islam Negeri Sultan Syarif Kasim Riau ]]>
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DOI: 10.24014/pib.v4i2.22609
<![CDATA[Penelitian ini bertujuan untuk menguji validitas konstruk instrumen The Centrality of Religiosity Scale (CRS-15) yang telah diadaptasi ke dalam bahasa Indonesia. Partisipan dalam penelitian ini berjumlah 205 mahasiswa Muslim di Yogyakarta dan Pekanbaru. Partisipan terdiri dari 117 (57,1%) laki-laki dan 88 (42,9%) perempuan dengan rentang usia 18-31 tahun (Mage= 21). Metode yang digunakan dalam penelitian ini adalah Confirmatory Factor Analysis (CFA) first order dengan menggunakan software Lisrel 8.80. Hasil penelitian ini menunjukkan bahwa model pengukuran religiusitas lima dimensi telah memenuhi kriteria Goodness of Fit Statistics: Chi-Square χ2 (80) =90.69, p=0.194 (p>0.000), RMSEA=0.026 (p<0.06), Non-Normed Fit Index (NNFI)/TLI = 0.984, Comparative Fit Index (CFI) = 0.988, Standardized RMR = 0.0576. Hasil penelitian ini juga menunjukkan bahwa butir-butir dalam pengukuran ini secara valid mengukur dimensi religiusitas (T>1.96), dengan rentang R2 berkisar diantara 0.06 – 0.61. Confirmatory Factor Analysis (CFA) Second Order dapat dilakukan peneliti selanjutnya untuk memastikan apakah dimensi intelektual, ideologi, ibadah publik, ibadah individual dan pengalaman/penghayatan valid membentuk konstruk religiusitas. ]]>
