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Agus Harjoko
Department of Computer Science and Electronics, Universitas Gadjah Mada
Electrical & Electronics Engineering

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Komunikasi Data pada Sistem Instrumentasi Dan Kendali Proses Nitridasi Plasma Susilo Susilo; Agus Harjoko; Taxwim Taxwim
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 1, No 1 (2011): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.53 KB) | DOI: 10.22146/ijeis.1922

Abstract

Abstract— Nitridasi Plasma merupakan teknologipengerasan lapisan permukaan bahan yang melibatkantemperatur yang sangat tinggi dan tekananyang sangat rendah. Saat ini laboratorium BTAFNBATAN sedang mengembangkan penelitian tentangSistem Instrumentasi Kendali Proses Nitridasi Plasma.Sistem Instrumentasi Kendali Proses NitridasiPlasma ini mengendalikan elemen kendali temperatur,dan elemen kendali tekanan menggunakan Super PLCT10oMD1616+. Proses Nitridasi Plasma membutuhkansuatu sistem untuk memantau jalannya proses danmenyimpan data agar kemudian data tersebut bisadiolah untuk kepentingan lebih lanjut. Sistem inimembutuhkan suatu cara untuk berkomunikasi antaraPLC dengan komputer terminal untuk mencatat danmenyimpan data pada proses nitridasi plasma.Komunikasi data PLC berjalan melalui portRS232 dengan menggunakan protokol multipoint dimanaprotokol ini memiliki format perintah dan tanggapyang lebih lengkap dan membuat transmisi datalebih aman. Aplikasi antarmuka dibuat menggunakanbahasa pemrograman Visual Basic. Sedangkan untukpengelolaan dan penyimpanan data menggunakanMySQL. Data yang diolah adalah data yang berasaldari ADC internal PLC. Data tersebut disimpan sementarapada Data Memory. Aplikasi antarmukamengirimkan string untuk membaca alamat DataMemory secara terus menerus dengan jeda 1 detik.Data yang telah diterima akan ditampilkan dalamtextbox untuk diperlihatkan ke pengguna dan ditampungpada database.Hasil Uji menunjukkan antarmuka mampu menampilkandata dalam numerik maupun grafik, sertamampu menyimpan data tersebut pada database. Kemudiandata yang telah disimpan tersebut mampudiubah ke dalam file Microsoft Excel..Kata Kunci — Komunikasi Data, Port RS232, SuperPLC T100MD1616+, Visual Basic, MySQL.
Klasifikasi Kendaraan Menggunakan Learning Vector Quantization Imelda Imelda; Agus Harjoko
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 2, No 1 (2012): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (512.782 KB) | DOI: 10.22146/ijeis.2340

Abstract

AbstrakKlasifikasi kendaraan penting dilakukan mengingat sering terjadi kesalahpahaman melakukan klasifikasi karena disamakan dengan merk. Klasifikasi kendaraan sudah banyak dilakukan dari tampak depan, tampak belakang dan tampak atas, namun belum ada yang melakukan klasifikasi kendaraan dari tampak samping. Oleh karena itu tujuan paper ini adalah agar dapat mengklasifikasi kendaraan dari tampak samping. Klasifikasi kendaraan yang digunakan adalah metodologi Learning Vector Quantization. Kata kunci—Klasifikasi Kendaraan, Learning Vector Quantization AbstractVehicle classification is important to remember frequent misunderstanding of the classification due to be equated with the brand. Vehicle classification has been done from the front, rear and looked up, but no one has determined the classification of the vehicle from a side view. Therefore the aim of this paper is to classify vehicles from the side view. Classification methodology used vehicle is Learning Vector Quantization. Keywords—Vehicle Classification, Learning Vector Quantization
Pengolahan Citra Digital untuk Keyboard Virtual Sebagai Antarmuka pada Aplikasi Berbasis Web Raksaka Indra Alhaqq; Agus Harjoko
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 2 (2015): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (735.664 KB) | DOI: 10.22146/ijeis.7634

Abstract

Since the first computer was founded, keyboard is always been a primary tool for interaction between humans and computers. Today, many computers use image processing technology to make interaction between computers and humans.The author try to apply image processing technology that implemented to virtual keyboard on web application. Using a webcam to capture the tip of index finger and the results will be sent to the localhost server for processing with image processing. Using Haar Cascade Classifier method to detect the tip of index finger, it will produce coordinates that sent to the web application and it used as a reference for determining button positions on virtual keyboard. Virtual keyboard characters will display after appointed by the tip of  index finger.From testing results, optimal distance from index finger to webcam is 20 – 35 cm. System can recognize the tip of index finger on white background and room with few furnitures. Average response time for displaying virtual keyboard sentences is 3 minutes and 28.838 seconds. So the virtual keyboard on this system was not able to be used as interface on web application, because it difficult to use in directing the tip of index finger to the character keys.
Deteksi Copy Move Forgery Pada Citra Menggunakan Exact Match, DWT Haar dan Daubechies Derwin Rony Sina; Agus Harjoko
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 1 (2016): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.645 KB) | DOI: 10.22146/ijeis.10768

Abstract

Copy-Move Forgery is a special type of image forgery, in which a part of a digital image is copied and pasted to another part in the same image in order to cover an important image feature. This research developed a system to detect copy move forgery in digital image. The system is intended to help the user determine whether an image is authentic or already contained a copy move object, and if the image already contains copy move object, the system can determine in which section the copy move object is located. Copy move forgery detection system discussed in this research, was developed by using Exact Match, DWT Haar, DWT db2 and DWT db4 using blocks of 4 x 4, 8 x 8 and 16 x 16. Users can use the system by using the digital image as input. The output of the system is the information about the area detected as a copy move forgery along with areas suspected of being false match.The final result is shown in the form of accuracy, the area of the false match and execution time. Based on the test results, the accuracy of Exact Match method for blocks of 4 x 4, 8 x 8 and 16 x 16 is better than the DWT, although exact match have an bigger false match area. Accuracy of DWT Haar, DWT db2 and DWT DB4 depending on the copy move area on the image. Block 4 x 4 has a false match area larger than the block 8 x 8 and 16 x 16. The execution time depends on the size of the block, the larger the block, the longer the time of execution. 
Segmentasi Tulang Kortikal pada Citra Dental Panoramic Radiograph Thohiroh Agus Kumala; Agus Harjoko
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 6, No 1 (2016): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.308 KB) | DOI: 10.22146/ijeis.10769

Abstract

Image processing in the medical world has been developed. One important stage in the processing of this image is segmentation. The accuracy in determining the diagnosis of a disease is determined by the accuracy of the segmentation stage.This study used a dental panoramic radiograph image with the size of 2000x1000 pixels. The area of cortical bone samples taken from the cortical bone of the lower jaw right and left about the mental foramen with 128x128 pixels. To simplify the process of segmentation is carried out preprocessing on the image that is by contrast stretching and grayscale. Furthermore, image segmentation results of preprocessing conducted using active contour method. This method begins with the formation of the formation of the mask as the initial curve, from the initial curve is then the curve will move in or out according to the shape of the edge of the cortical bone.Tests performed using the ROC (Receiver Operating Characteristic). Segmentation of 21 dental panoramic radiograph image data using Active Contour method can perform with the right cortical bone segmentation accuracy percentage of 90.67%, 90.14% sensitivity and 91.55% specificity. Cortical bone is left with an accuracy percentage of 89.37%, 86.59% sensitivity and 91.23% specificity.
Co-Authors Derwin Rony Sina, Derwin Imelda, Imelda Raksaka Indra Alhaqq Susilo Susilo Taxwim Taxwim Thohiroh Agus Kumala