Articles
<![CDATA[Desain Ulang Modul Paten Dan Cipta Dari Sistem Informasi Hak Kekayaan Intelektual Universitas Jenderal Soedirman ]]>
<![CDATA[Syaiful Aliim, Muhammad]]>;
<![CDATA[Siswantoro, Hari]]>;
<![CDATA[Supriyanti, Retno]]>
<![CDATA[ Dinamika Rekayasa Vol 16, No 2 (2020): Jurnal Ilmiah Dinamika Rekayasa - Agustus 2020 ]]>
Publisher : <![CDATA[Jenderal Soedirman University ]]>
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DOI: 10.20884/1.dr.2020.16.2.348
<![CDATA[Sentra HKI adalah sistem informasi yang dikembangkan oleh Puslit Hak Kekayaan Intelektual dan Sertifikasi Produk LPPM Universitas Jenderal Soedirman untuk mengarsipkan dokumen HKI secara digital seperti Paten, Indikasi Geografis, Cipta, Merek, PVT (Perlindungan Varietas Tanaman), Rahasia Dagang, DTLST (Desain Tata Letak Sikuit Terpadu), dan Desain Industri. Sentra HKI juga digunakan untuk mengelola pengajuan HKI baru dan memantau status HKI yang saat ini dimiliki oleh LPPM UNSOED. Kondisi saat ini Sentra HKI berjalan tidak sesuai dengan fungsinya, menu selain Paten dan Cipta tidak bisa diakses, selain itu menu paten dan cipta tidak mendukung pengarsipan dokumen berdasarkan riwayatnya karena setiap melakukan pembaharuan dokumen, dokumen lama akan terhapus dengan dokumen baru. Hal ini juga terlihat pada struktur tampilan layar menu paten dan cipta yang juga tidak mendukung pengarsipan dokumen berdasarkan riwayat dan diikuti dengan struktur basis data yang juga tidak mendukung pengarsipan dokumen berbasis riwayat. Dengan melalui pengembangan aplikasi berupa desain ulang baik struktur basis data dan struktur tampilan yang mendukung pengarsipan dokumen berbasis riwayat Sentra HKI kembali mampu mengelola pengajuan HKI baru dan memantau status HKI yang dikelola oleh LPPM UNSOED.]]>
<![CDATA[Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Alfin Chrisanty]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Wahyu Siswandari]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v8i1.pp150-158
<![CDATA[Hematology tests are examinations that aim to know the state of blood and its components, one of which is leukocytes. Hematologic examinations such as the number and morphology of blood generally still done manually, especially by a specialist pathologist. Despite the fact that today there is equipment that can identify morphological automatically, but for developing countries like Indonesia, it can only be done in the capital city. Low accuracy due to the differences identified either by doctors or laboratory staff, makes a great reason to use computer assistance, especially with the rapid technological developments at this time. In this paper, we will emphasize our experiment to screen leucocyte cell nucleus by identifying the contours of the cell nucleus, diameter, circumference and area of these cells based on digital image processing techniques, especially using the morphological image. The results obtained are promising for further development in the development of computer-aided diagnosis for identification of leukocytes based on a simple and inexpensive equipment.]]>
<![CDATA[Preliminary process in blast cell morphology identification based on image segmentation methods ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Pangestu F. Wibowo]]>;
<![CDATA[Fibra R. Firmanda]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Wahyu Siswandari]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 6: December 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v10i6.pp5714-5725
<![CDATA[The diagnosis of blood disorders in developing countries usually uses the diagnostic procedure Complete Blood Count (CBC). This is due to the limitations of existing health facilities so that examinations use standard microscopes as required in CBC examinations. However, the CBC process still poses a problem, namely that the procedure for manually counting blood cells with a microscope requires a lot of energy and time, and is expensive. This paper will discuss alternative uses of image processing technology in blast cell identification by using microscope images. In this paper, we will discuss in detail the morphological measurements which include the diameter, circumference and area of blast cell cells based on watershed segmentation methods and active contour. As a basis for further development, we compare the performance between the uses of both methods. The results show that the active contour method has an error percentage of 5.15% while the watershed method has an error percentage of 8.25%.]]>
<![CDATA[Point Processing Method for Improving Dental Radiology Image Quality ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Ariep Soelaiman Setiadi]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Haris Budi Widodo]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 4: August 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v6i4.pp1587-1594
<![CDATA[Radiology field is very important in today's world, especially in the field of medicine including dentistry. Radiology equipment that is popular in dentistry is the panoramic machine. A panoramic image facilitate the dentist in making a diagnosis of the abnormality in the mouth and teeth. But unfortunately, for developing countries like Indonesia, panoramic machine available are low resolution which have an effect on the resulting image also has low quality. This research aims to improve the quality of the panoramic image to have a better quality. We use point processing method with emphasis on contrast stretching method. We chose this method because it is quite simple but has a high performance. Based on the second opinion from the hospital, the performance is 83.9%, therefore this method is promising to be implemented on the improvement of dental radiology images.]]>
<![CDATA[Simple Screening for High-Risk Pregnancies in Rural Areas Based on an Expert System ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Ahmad Fariz]]>;
<![CDATA[Teddy Septiana]]>;
<![CDATA[Eko Murdyantoro]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Haris Budi Widodo]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v13i2.988
<![CDATA[The high maternal and infant mortality rates in developing countries, especially Indonesia, are quite alarming. There are many factors that cause high mortality numbers; one of them is the delay in handling cases of high‑risk pregnancies. The main problem faced by developing countries is the lack of health facilities, including medical equipment and human resources. This research aims to develop a simple system that can be used to screen high‑risk pregnancies. This system is based on an expert system. The Analytical Hierarchy Process (AHP) method is used in making decisions about potentially high-risk pregnancy patients. Essentially, the system can be used by anyone, anywhere, to carry out early screening of high‑risk pregnancy patients, so that delays in the treatment of these patients can be resolved, because the symptoms of high‑risk pregnancy are known from the beginning. Results indicate that this system shows promise for further development. ]]>
<![CDATA[Histogram Equalization for Improving Quality of Low-resolution Ultrasonography Images ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Subkhi Adhi Priyono]]>;
<![CDATA[Eko Murdyantoro]]>;
<![CDATA[Haris Budi Widodo]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v15i3.5537
<![CDATA[The current development of digital image processing techniques have been very rapid. Application of digital image processing both hardware and software are available with a variety of features as a form of superiority. Medical ultrasonography is one of the results of digital image processing technology. It is a kind of diagnostic imaging technique with ultrasonic that is used to produce images of internal organs and muscles, size, structure, and wound pathology, which makes this technique is useful for checking organ. However the images produced by low resolution ultrasonography device is not fully produce clear information. In this research we use histogram equalization to improve image quality. In this paper we emphasize on the comparison of the two methods in the histogram equalization, namely Enhance Contrast Using Histogram Equalization (ECHE) and Contrast-Limited Adaptive Histogram Equalization (CLAHE). The results showed that CLAHE give the best results, with the parameter value Nbins 256 and Distribution Rayleigh with MSE value 9744.80 and PSNR value 8.284150.]]>
<![CDATA[Coronal slice segmentation using a watershed method for early identification of people with Alzheimer's ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Anugerah Kevin Marchel]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Haris Budi Widodo]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v19i1.15142
<![CDATA[One physical sign of a person who has Alzheimer's is the diminution of the area of the hippocampus and ventricles. A good quality magnetic resonance imaging (MRI) will provide a high-quality image so that the doctor will quickly analyze the abnormalities of the hippocampus and ventricle area. However, for low-quality MRI, this is difficult to do. This condition will be a significant problem for some regions in developing countries including Indonesia, where many hospitals have only low-quality MRI, and many hospitals do not have them at all. The primary purpose of this research is to develop simple tools to analyze morphological characteristics in Alzheimer's patients. In this paper, we focus only on coronal slice analysis. We will use watershed method segmentation, because of this method able to segment the boundaries automatically, so that parts of the hippocampus and ventricles can be identified in an MRI image. Analysis of morphological characteristics is also classified by age and gender. Then by referring to the value of the clinical dementia rating (CDR), the process of identifying between images with Alzheimer's disease (AD) and healthy models is done based on the morphological analysis that has been done. The results show this method has a better performance compared to the previously work.]]>
<![CDATA[Separability Filter for Localizing Abnormal Pupil: Identification of Input Image ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Elvin Pranata]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Tutik Ida Rosanti]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 4: December 2013 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v11i4.1200
<![CDATA[ Separability filter method is a reliable method for pupil detection. However, so far this method is implemented for detecting pupil of normal eye, while for abnormal eye such as cataract and glaucoma patients; they have different characteristics of pupil such as color, shape and radius size of pupil. In this paper we propose to use separability filter for detecting pupil of abnormal patients with different characteristics. We faced a problem about radius size, shape and color of pupil; therefore we implemented Hough Transform, Blob area and Brightness for identifying input images before applying separability filter. The experiment results show that we can increase performance of pupil detection for abnormal eye to be 95.65%.]]>
<![CDATA[Brightness and Contrast Modification in Ultrasonography Images Using Edge Detection Results ]]>
<![CDATA[Retno Supriyanti]]>;
<![CDATA[Suwitno Suwitno]]>;
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Haris Budi Widodo]]>;
<![CDATA[Tutik Ida Rosanti]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v14i3.3440
<![CDATA[Currently, ultrasonography device become an important equipment for supporting diagnosis in diesases. Unfortunetaly, a lot of ultrasonography images do not provide enough information for supporting diagnosis especially images produced by low-resolution ultrasonography. It is caused by image quality that has been produced is inadequate because of noise. This research aims to improve image quality by modifying brightness and contrast to the edge detection algorithms. By modifying the brightness and contrast will cause the value of standard deviation of the ultrasonography image is lowered. Raising setting values will cause deviation standard value becomes smaller, and also the result of standard deviation is inversely proportional to the value of RMSE. The results show that this modification can improve image quality by reducing noise significantly.]]>
<![CDATA[Sistem Komunikasi Augmentatif dan Alternatif Berbasis Tracking Realtime Mata ]]>
<![CDATA[Yogi Ramadhani]]>;
<![CDATA[Dita Dayu AW]]>;
<![CDATA[Retno Supriyanti]]>
<![CDATA[ Telematika Vol 13, No 2: Agustus (2020) ]]>
Publisher : <![CDATA[Universitas Amikom Purwokerto ]]>
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DOI: 10.35671/telematika.v13i2.979
<![CDATA[Communication focuses on understanding of a person to another person, a simple communication can occur if there are similarities between the delivery of messages and people who receive messages. However, there are some people who lose communication skills or language and speech disorder which is a side effect of some diseases. One think to facilitate the problem is building a Augmentative and Alternative Communication (AAC) Systems. AAC is a communication method to support speaking or writing abilities for someone who have oral and writing disorders. In this research, eye-gaze boards used to implant AAC method. The computer programs created to implement that methods, with centroid iris tracking as input variable. The tests were carried out on various respondents with various eye shapes. The result of this research show that iris centroid could represent eyes direction, with six classifications (left – middle – right and upper – lower).]]>
