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Point Processing Method for Improving Dental Radiology Image Quality Retno Supriyanti; Ariep Soelaiman Setiadi; Yogi Ramadhani; Haris Budi Widodo
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 4: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.3 KB) | DOI: 10.11591/ijece.v6i4.pp1587-1594

Abstract

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.
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.
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.
Pengaruh Penyuluhan Terhadap Tingkat Pegetahuan Kesehatan Gigi dan Mulut Ibu Hamil Berdasarkan Prioritas Masalah Fitri Diah Oktadewi; Agatha Tunggadewi Purnamasari; Haris Budi Widodo; Meitika Wahyu Wedhawati
Media Kesehatan Gigi : Politeknik Kesehatan Makassar Vol 21, No 1 (2022)
Publisher : Poltekkes Kemenkes Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/mkg.v21i1.2742

Abstract

ABSTRAKKehamilan merupakan periode saat wanita mengandung embrio yang berkembang. Berbagai perubahan dan masalah rongga mulut terjadi pada ibu hamil seperti gingivitis, gingival hyperplasia, pyogenic granuloma; karies gigi, peningkatan pembentukan karang gigi, dan erosi gigi. Masalah rongga mulut ibu hamil yang tidak dirawat merupakan salah satu faktor risiko bayi berat badan lahir rendah (BBLR). Pengetahuan mengenai upaya pemeliharaan kesehatan gigi dan mulut selama kehamilan dapat membantu mengoptimalkan kesehatan gigi dan mulut sehingga menurunkan kejadian penyakit rongga mulut pada ibu hamil. Usaha peningkatan pengetahuan kesehatan gigi dan mulut pada ibu hamil salah satunya dapat dilakukan melalui penyuluhan. Jenis penelitian ini adalah penelitian pre-eksperimental dengan rancangan penelitian pretest posttest group design yang dilakukan di Desa Sidabowa, Kecamatan Patikraja, Banyumas pada Oktober 2021. Pengambilan sampel dilakukan menggunakan teknik accidental sampling dan jumlah sampel ditentukan dengan teknik total sampling. Responden yang digunakan pada penelitian ini berjumlah 16 ibu hamil. Hasil penelitian menunjukkan prioritas masalah gigi dan mulut yang dialami oleh ibu hamil di Desa Sidabowa yaitu gingivitis sebagai permasalahan utama, diikuti pulpitis, erosi gigi, periodontitis, dan terakhir impaksi gigi. Materi penyuluhan disusun berdasarkan prioritas masalah dan disampaikan dengan metode ceramah secara lisan disertai dengan metode diskusi kelompok. Hasil penelitian menunjukkan adanya peningkatan hasil rerata posttest di bandingkan hasil rerata pretest. Hal tersebut menunjukkan terdapat perbedaan tingkat pengetahuan responden sebelum dan setelah penyuluhan sehingga penyuluhan menggunakan metode ceramah dan diskusi kelompok efektif memberikan pengaruh terhadap tingkat pengetahuan ibu hamil di Desa Sidabowa, Kecamatan Patikraja mengenai kesehatan gigi dan mulut.Kata kunci : Kehamilan; epulis gravidarum; penyuluhanABSTRACTPregnancy is a period when a woman carries a developing embryo. Various changes and oral problems occur in pregnant women such as gingivitis, gingival hyperplasia, pyogenic granuloma; dental caries, increased tartar formation, and tooth erosion. Oral cavity problems of pregnant women who are not treated are one of the risk factors for baby with low birth weight (LBW). Knowledge of efforts to maintain dental and oral health during pregnancy can help optimize dental and oral health so as to reduce the incidence of oral disease in pregnant women. One of the efforts to increase knowledge of dental and oral health in pregnant women can be done through counseling. This type of research is a pre-experimental study with a pretest posttest group design conducted in Sidabowa Village, Patikraja District, Banyumas in October 2021. Sampling was carried out using the accidental sampling technique and the number of samples was determined by total sampling technique. Respondents used in this study amounted to 16 pregnant women. The results showed that the priority of dental and oral problems experienced by pregnant women in Sidabowa Village was gingivitis as the main problem, followed by pulpitis, tooth erosion, periodontitis, and finally tooth impaction. Extension materials are arranged based on priority problems and delivered by verbal lecture method accompanied by group discussion method. The results showed an increase in the average posttest results compared to the averag pretest. This shows that there are differences in the level of knowledge of respondents before and after counseling so that counseling using the lecture method and group discussion effectively influences the level of knowledge of pregnant women in Sidabowa Village, Patikraja District regarding dental and oral health.Keywords: Pregnancy; epulis gravidarum; counseling
Calculating the area of white spots on the lungs of patients with COVID-19 using the Sauvola thresholding method Retno Supriyanti; Muhammad Rifqi Kurniawan; Yogi Ramadhani; Haris Budi Widodo
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp315-324

Abstract

COVID-19 is a pandemic that has occurred in the world since 2019. Researchers have carried out various ways in dealing with this disease, starting from the screening stage to the stage of treatment and therapy for COVID-19 patients. As the gateway to the COVID-19 problem, screening has an essential role in a diagnosis that leads to appropriate treatment. In this paper, we will focus on the screening stage using digital image processing techniques, namely in calculating the area of white spots in the lungs of COVID-19 patients. The white patches are an early indication of how badly COVID-19 is attacking the patient. We use X-Ray Thorax image objects as research data in this paper. Although the current experimental results show that this method has a successful performance of 71.11%, it is pretty promising for further development due to its simplicity.