Endang Juliastuti
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ANALISIS KEMAMPUAN CITRA RADIOGRAFI PANAROMIK DALAM MENDETEKSI KERAPATAN TRABEKULA TULANG DENGAN MIKRO CT SEBAGAI BAKU STANDARD - Image Analysis Capabality Of Detectinc Panoramic Radiographic Trabecular Bone Density As Standard With Standard Micro CT Azhari Azhari; Suprijanto Suprijanto; Hanifan Prafiadi; Endang Juliastuti
Indonesian Journal of Applied Sciences Vol 4, No 1 (2014)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.677 KB) | DOI: 10.24198/ijas.v4i1.16679

Abstract

AbstrakPenelitian Radiografi panoramik menggunakan  analisa mikro struktur untuk  deteksi kualitas tulang menggunakan Panoramik dengan Micro CT sebagai baku standard. Tujuan dari penelitian ini untuk mengetahui akurasi Panoramik dalam mendeteksi trabekula tulang di regio kondilus, angulus mandibula dan regio molar dengan model tulang vertebrae dan tulang iga. Empat macam tulang vertebrae dan tulang iga sapi diletakkan pada lengkung rahang yang  dibantu oleh model tengkorak terbuat dari plastik sebagai model lengkung tulang. Tulang diletakkan pada lengkung rahang bawah terbuat dari  bahan plastik pada regio berbeda yaitu : regio kondilus (tulang 1), angulus mandibula (tulang 2) regio molar 2 dan molar 1( tulang 4). Model tulang masing-masing mempunyai kerapatan berbeda lalu dilakukan pemotretan radiografi panoramik dengan posisi standard dan micro CT sebagai “gold standard”. Dengan menggunakan Analisis fraction trabekula algorithma menggunakan software.  Hasil penelitian didapatkan fraksi trabekular sebagai berikut: regio kondilus panoramik sebesar: 44.05%, Micro CT 39.63% , regio angulus panoramik 28.85% , micro CT 24.15% , dan regio molar 27.43%, micro CT 22.64 %, rata-rata perbedaan 4,6 %. Radiografi panoramik dapat digunakan untuk mendeteksi kelainan micro struktur di  regio kondilus .Kata kunci :  Micro CT,  Panoramik,AbstractPanoramic radiographs using micro- structure analysis for the detection of bone quality using Panoramic with Micro CT as standard raw. The purpose of this study was to determine the accuracy in detecting trabecular bone Panoramic in the region of the condyle , the angle of the mandible and molar regions with models vertebrae and rib bones. Methods : Four kinds of bone vertebrae and ribs placed on the cow arch assisted by a plastic skull models as models of bone arch. Bone is placed in the lower arch is made of plastic materials in different regions are: region of the condyle ( bone 1 ), angle of the mandible ( bone 2 ) 2 molar and molar regions 1 ( bone 4 ). Model of each bone has different densities, then shooting panoramic radiography performed with standard position and micro CT as the " gold standard ". By using analysis of trabecular fraction algorithm using software. The study trabecular fractions obtained as follows : panoramic condyle region of : 44.05 %, 39.63 % Micro CT, region of the angle panoramic 28.85 %, 24.15 % micro CT, and molar region, 27.43 %, 22.64 % micro CT, difference average 4.6 %. Panoramic radiographs can be used to detect abnormalities in the region of the micro structure of the condyle.Keywords : Micro CT , Panoramic
Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT Taufik Ibnu Salim; Endang Juliastuti; Vebi Nadhira
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 5 (2021): Oktober2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (834.129 KB) | DOI: 10.29207/resti.v5i5.3508

Abstract

The development of microbubble technology has been widely used in various fields. One of these areas is sterilization technology using microbubbles to speed up and increase the effectiveness of the sterilization process. One example is room sterilization using vaporized ozone gas microbubbles which can minimize the spread of the Covid-19 virus. However, research and development of microbubbles are still not much related to the characterization of their size and hydrodynamic properties. In this study, we propose the development of a continuous characterization of the size of microbubbles using the image analysis method. Image analysis aims to find the displacement vector using particle image velocimetry (PIV) techniques. The Hadamard-Rybczynski equation was used to calculate the size of the microbubbles based on the rising velocity vector of the microbubbles. The image capture process uses an LED light shadow technique to get a brighter and more stable image. The template matching algorithm is used to speed up the displacement vector analysis process used in the PIV technique. The analysis process is carried out in-situ in parallel processing using the python program on the raspberry pi4 unit. The analysis process uses three program services that run parallel, namely recording, pre-processing, and processing services. The measurement process uses three validations, namely pixel validation, template matching algorithm validation, and interrogation window. Bubble size data is displayed in the form of real-time graphs and size distribution histograms online using IoT. The test results show the size distribution of the microbubbles produced has an average of 14.60 µm with a deviation value of 0.11µm.