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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) TELKOMNIKA (Telecommunication Computing Electronics and Control) Telematika Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal Teknik Elektro dan Komputer TRIAC Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) JURNAL ABDIKARYASAKTI RENATA Jurnal Pengabdian Masyarakat Kita Semua Molekul: Jurnal Ilmiah Kimia
Retno Supriyanti
Jenderal Soedirman University
Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Other

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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

 1 
Simple Screening for High-Risk Pregnancies in Rural Areas Based on an Expert System Retno Supriyanti; Ahmad Fariz; Teddy Septiana; Eko Murdyantoro; Yogi Ramadhani; Haris Budi Widodo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i2.988

Abstract

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. 
Histogram Equalization for Improving Quality of Low-resolution Ultrasonography Images Retno Supriyanti; Subkhi Adhi Priyono; Eko Murdyantoro; Haris Budi Widodo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.5537

Abstract

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.
Coronal slice segmentation using a watershed method for early identification of people with Alzheimer's Retno Supriyanti; Anugerah Kevin Marchel; Yogi Ramadhani; Haris Budi Widodo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.15142

Abstract

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.
Separability Filter for Localizing Abnormal Pupil: Identification of Input Image Retno Supriyanti; Elvin Pranata; Yogi Ramadhani; Tutik Ida Rosanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 4: December 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v11i4.1200

Abstract

 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%.
Brightness and Contrast Modification in Ultrasonography Images Using Edge Detection Results Retno Supriyanti; Suwitno Suwitno; Yogi Ramadhani; Haris Budi Widodo; Tutik Ida Rosanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i3.3440

Abstract

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.
Co-Authors Ahmad Fariz Akbar, Mohammad Irham Akbar, Muhammad Irham Alfin Chrisanty Aliim, M. Syaiful Alqaaf, Muhammad Anugerah Kevin Marchel Ardi Wicaksono, Madya Ari Fadli Ariep Soelaiman Setiadi Aryanto, Andreas S. Candra Kurniawan Dina Rahmawati Dita Dayu AW Dwi Susanto, Putra Eko Murdyantoro Elvin Pranata Eman Sutrisna Erfan Handoko Fadlola, M. Gus Solhan Fibra R. Firmanda Ghoshal, Sib Krishna Hari Siswantoro, Hari Haris B. Widodo Haris Budi Widodo Haris Budi Widodo Haris Budi Widodo Icuk Rangga Bawono, Icuk Rangga Jatmika, Jumaeda Lazuardi Umar Mudrik Alaydrus Muhammad Alqaaf Muhammad Alqaaf Muhammad Rifqi Kurniawan Muhammad Syaiful Aliim Mukhtar Effendi Pangestu F. Wibowo Rais Akhdan, Syafrudin Rifda Naufalin Riyanto, Arif Pujo Rumpoko Wicaksono Subkhi Adhi Priyono Suroso Suroso Suwitno Suwitno Syadzwina Luke Dzihniza Tamtowi, Tomy Teddy Septiana Trishardian, Rachmat Tutik Ida Rosanti Wahyu Siswandari Wahyu Widanarto, Wahyu Winasis Winasis Yogi Ramadhani Yogi Ramadhani Yogi Ramadhani