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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
Perancangan Sistem Laser Based Automatic Tank Gauging dengan Pelampung Serta Penggunaannya dalam Sistem Kontrol Ketinggian Cairan Nina Margareth Theresia; Endang Juliastuti
Jurnal Otomasi Kontrol dan Instrumentasi Vol 6 No 2 (2014): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2014.6.2.1

Abstract

AbstrakPada penelitian ini, dibuat suatu perangkat pengukur ketinggian cairan pada tangki secara otomatis dengan menggunakan Laser Distance Meter (LDM) dan pelampung. Perangkat ini dinamakan Laser Automatic Tank Gauging (LATG). Kelebihan LATG yaitu memiliki ketelitian sebesar 1-2mm dan waktu pengukuran yang cepat. Hal tersebut membuat LATG menjadi dapat digunakan untuk pengontrolan ketinggian cairan yang baik pada tangki. Pembuatan perangkat LATG dimulai dari menghubungkan LDM dengan LR4 interface board agar serial output dapat terbaca. Kemudian LDM dan LR4 interface board ini dihubungkan dengan mikrokontroller untuk mengirimkan dan menerima serial data. Selanjutnya data yang didapatkan diolah pada perangkat lunak Matlab(TM) dan dibuat tampilan antarmuka. Untuk pembuatan pelampung agar menghasilkan nilai pengukuran paling baik, maka dilakukan pengujian pada variasi warna pelampung, kekasaran permukaan pelampung dan intensitas cahaya lingkungan saat pengujian. Didapatkan bahwa pelampung yang menghasilkan nilai pengukuran terbaik yaitu pelampung dengan warna putih dan permukaannya paling halus, juga intensitas cahaya lingkungan yang kecil akan mengurangi noise dalam pengukuran.Kata kunci : automatic tank gauging, laser distance meter, pemantulan cahaya, pelampung, kontrol level.AbstractIn this study an automatic device to measure the liquid level in a tank by using Laser Distance Meter (LDM) and a floating reflector was developed. This device is called Laser Automatic Tangk Gauging (LTAG). This LTAG has 1-2 mm accuracy and a fast measurement time. Therefore, this LATG can be used in a liquid level control system. The system was implementd by connecting LDM with LR4 serial output interface board. The board was connected to mictrocontroller for data aquisition. This data was processed and displayed through used interface programmed in Matlab software. In order to get a floating reflector that produce the most accurate measurement, some experiments were conducted on colors, surface's condition and ambient lighting condition. It was found that the best measurement is produced by floating reflector that of white color, smooth surface and low ambient lighting. Keywords : automatic tank gauging, laser distance meters, the reflectance of light, floating reflector, level control.
Alat Ukur Portabel Kadar Logam Mangan dan Besi dalam Air Menggunakan Prinsip Spektrofotometer Vebi Nadhira; Endang Juliastuti; Lidzikri Ilham Fauzy; Rizky Tri Widodo
Jurnal Otomasi Kontrol dan Instrumentasi Vol 9 No 2 (2017): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2017.9.2.1

Abstract

Ketersediaan air bersih yang layak dikonsumsi di berbagai daerah semakin menurun. Hal tersebut mendorong berbagai pihak untuk mengolah air sehingga layak dikonsumsi. Pada dasarnya, beberapa parameter yang menunjukan kelayakan air untuk dikonsumsi dapat dideteksi secara langsung. Parameter tersebut diantaranya tidak berwarna, tidak berbau dan tidak berasa. Akan tetapi, terdapat parameter lain yang menentukan kualitas air minum, yaitu tidak mengandung mikroorganisme berbahaya serta tidak mengandung logam berat. Sehubungan dengan hal tersebut, keberadaan mikoorganisme dapat diatasi dengan memasak air. Sementara itu, kadar logam berat pada air tidak dapat dideteksi secara langsung. Oleh karena itu penulis mengembangkan alat ukur portabel kadar logam berat yang terkandung pada air berdasarkan prinsip spektrofotometer. Alat ukur ini mampu menganalisis kadar logam secara lebih praktis dan cepat. Rancang bangun alat ini tersusun dari sumber cahaya yaitu lampu halogen, monokromator, fotodetektor yaitu berupa fototransistor, mikroprosesor, modul penampil hasil pengukuran serta catu daya. Prinsip kerja alat ini adalah mengukur besaran transmisi cahaya menggunakan fotodetektor. Dalam hal ini, semakin banyak logam yang terkandung pada air maka akan semakin banyak pula cahaya yang diabsorbsi, sehingga cahaya yang ditransmisikan menjadi lebih kecil dan tegangan keluaran dari detektor akan semakin kecil pula. Pada penelitian ini terdapat dua logam berat yang diukur, yaitu Mangan dan Besi. Cahaya dengan panjang gelombang 521 nm ± 20 nm digunakan untuk pengukuran kadar Mangan dan 500 nm ± 20 nm untuk pengukuran kadar Besi. Hasil pengujian karakteristik alat untuk mengukur kadar Mangan menunjukan nilai akurasi sebesar 84,80%, nilai presisi sebesar 80,23%, dan  nilai kesalahan sebesar  15,20%. Adapun pada hasil pengujian karakteristik alat untuk mengukur kadar Besi, didapatkan nilai akurasi sebesar 90,75%, presisi 79,16%, dan  nilai kesalahan 9,25%. 
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.
Photometric Stereo Method Used for Woven Fabric Density Measurement Based on 3D Surface Structure Endang Juliastuti; Irwan Setiawan; Vebi Nadhira; Deddy Kurniadi
Journal of Engineering and Technological Sciences Vol. 55 No. 6 (2023)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2023.55.6.4

Abstract

The measurement of the density of woven fabrics based on the vision method has been widely developed. This study used a photometric stereo method to measure the warp and weft density of woven fabrics based on the 3D surface structure. Six 2D images of the fabric were recorded, each with a different lighting direction. The six images were then reconstructed using the unbiased photometric stereo algorithm to produce the three-dimensional surface structure. The reconstructed image was used to detect and correct the skew angle with the Hough transform. For each image, a depth profile was made toward the x-axis to get the weft curve and towards the y-axis to get the warped curve. The two depth curves were filtered using a locally weighted smoothing (LOESS) filter. This study successfully measured the density of woven fabric with an average error for warp and weft of 0.64% and 0.45%, respectively.
Photometric Stereo-based Woven Fabric Pattern Recognition Using Wavelet Image Scattering Setiawan, Irwan; Juliastuti, Endang; Kurniadi, Deddy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 4: December 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i4.5589

Abstract

The weave pattern is a crucial factor that enhances the strength and stability of the fabric. Pattern recognition of woven fabric based on vision methods has been widely developed. In this research, woven fabric's basic weaving pattern recognition is based on photometric stereo images. First, six images of woven fabric were taken, each with a different direction of light. Next, an unbiased photometric stereo algorithm was used to reconstruct the six images. This paper used 23 grayscale photometric stereo images measuring 400 x 300 pixels. Augmentation techniques were carried out to produce 458 images consisting of 240 plain woven images, 159 twill woven images, and 60 satin woven images. The training data set consists of 367 images, and testing consists of 192 images. The feature extraction method uses wavelet image scattering and classification using Principal Component Analysis (PCA) and Support Vector Machine (SVM). The wavelet image scattering method effectively extracts texture features of photometric stereo images of diverse woven fabrics, while the PCA and SVM methods successfully classify the basic woven fabric patterns. The results of recognizing the basic woven fabric pattern using PCA and SVM classification obtained an accuracy of 98.57%.
Pengembangan Perangkat Surface Plasmon Resonance (SPR) sebagai Transduser Biosensor Fadli Hastito; Endang Juliastuti; Brian Yuliarto
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2025.17.2.3

Abstract

This study developed a simple and cost-effective laboratory-scale Surface Plasmon Resonance (SPR) device called β SPR. SPR is a sensitive, real-time, and non-labeling technique widely used to detect the concentration and quality of solutions. However, the very high price of commercial SPR devices is a barrier, so a portable and affordable version was developed. The β SPR device uses a Kretschmann configuration with a 670 nm laser, a polarizer, and a modified Porro BA4010 prism for a simpler and more efficient optical configuration. A thin gold film (~50 nm) is placed on the prism using immersion oil, and the test solution is flowed through a flow cell. The laser is fired at a 90° angle to induce p-polarized waves that trigger surface plasmon resonance. This phenomenon decreases the light reflectance, forming a dip curve used for analysis. The device was tested using glucose solution (0.05–0.27 M) and compared with a commercial SPR device (α SPR). The results show a shift in the angle with increasing concentration. The highest error was 6.53% at 0.05 M, and the lowest was 0.94% at 0.27 M. The β SPR sensitivity was recorded at 4.41⁰/M, showing promising performance for cost-effective biosensor applications.
PURWARUPA SISTEM KENDALI KECEPATAN KERETA BERBASIS KLASIFIKASI INSPEKSI REL MENGGUNAKAN FASTER R-CNN Yurixa Sakhinatul Putri; Yul Yunazwin Nazaruddin; Endang Juliastuti
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 28, No 3 Juli (2026): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.28.3.167-177

Abstract

Inspeksi visual manual pada rel kereta api rentan terhadap kelelahan operator dan subjektivitas, yang berpotensi menyebabkan kesalahan deteksi. Penelitian ini mengembangkan purwarupa sistem kendali kecepatan kereta berbasis klasifikasi inspeksi rel menggunakan algoritma Faster R-CNN. Sistem terdiri dari kamera sebagai sensor visual, komputer sebagai client untuk melakukan proses klasifikasi objek, dan mikrokontroler sebagai server untuk mengendalikan kecepatan pada motor kereta. Dataset terdiri dari tiga kelas yaitu broken (rel putus), curved (rel melengkung), dan erosion (penghalang pada rel) dengan dataset terbatas 370 gambar. Proses pelatihan menggunakan GPU Nvidia GeForce MX130, RAM 6 GB, dengan total 7063 step dan waktu ± 3 jam. Didapatkan nilai akurasi 80%, precision 85%, recall 93%, dan F1 score 88%. Hasil klasifikasi diintegrasikan ke dalam sistem kendali kecepatan motor kereta melalui komunikasi TCP/IP. Sistem berhasil mendeteksi objek secara real-time dan mengontrol kecepatan motor kereta dengan logika if else sesuai tingkat kepercayaan hasil klasifikasi. Pengujian juga menunjukkan bahwa jarak deteksi objek dipengaruhi oleh posisi kamera terhadap jalur rel. Purwarupa ini dapat menunjukkan potensi yang baik dalam pengintegrasian sistem visi komputer dan kendali motor kereta api sebagai solusi untuk meningkatkan keselamatan pada kereta api.