Yogi Ramadhani
Jenderal Soedirman University

Published : 6 Documents
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Separability Filter for Localizing Abnormal Pupil: Identification Criteria of Input Image Supriyanti, Retno; Pranata, Elvin; Ramadhani, Yogi; Ida Rosanti, Tutik
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 | Full PDF (51.295 KB)

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%.
DESAIN DAN SIMULASI SISTEM HMI (HUMAN MACHINE INTERFACE) BERBASIS CITECT SCADA PADA KONVEYOR PROSES DI INDUSTRI Priswanto, Priswanto; Herdantyo, Tegar; Nugroho, Daru Tri; Ramadhani, Yogi; Mubyarto, Agung
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2018: SEMINAR NASIONAL PENDIDIKAN SAINS DAN TEKNOLOGI
Publisher : Universitas Muhammadiyah Semarang

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Abstract

The conveyor system is a technology for transfer object to processing in industry from one place to another. The process in the industry such as quality control, packing product, assembly, etc. Conveyor technology is needed in the industrial process  automation.  The  application  of  conveyor  system  technology  in  the industry requires acquisition data and control, so that each process on the industrial conveyor can be monitored and even controlled from the control room. The one of technology for acqusition data and controling process of industry by centrally from the  control room is the technology of  HMI  (Human Machine Interface). The development of this HMI technology can be complement PLC- based conveyor system technology, making it more flexible and efficient by providing visualization and even control of industrial processes. In this research, Modeling of HMI using Citect SCADA has been conducted for Acquisition Data and Controlling Process of Conveyor Systems in Industry. The model of HMI designed and made using Vijeo Citect SCADA by adjusting the form of process conveyor models in the industry including input and output system. Based on the research that has been done, the results of HMI can work well, with a 100% success percentage. This shows that the addition of the HMI module to the system does not affect the performance of the conveyor system, but with the HMI feature it will be easier to control the process in the industry from the control room. Keywords: HMI, conveyor, PLC, Citect SCADA, industry.
POINT PROCESSING METHOD FOR IMPROVING DENTAL RADIOLOGY IMAGE QUALITY Supriyanti, Retno; Setiadi, Ariep Soelaiman; Ramadhani, Yogi; Widodo, Haris Budi
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.
COMPUTER AIDED DIAGNOSIS FOR SCREENING THE SHAPE AND SIZE OF LEUKOCYTE CELL NUCLEUS BASED ON MORPHOLOGICAL IMAGE Supriyanti, Retno; Chrisanty, Alfin; Ramadhani, Yogi; Siswandari, Wahyu
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.699 KB) | DOI: 10.11591/ijece.v8i1.pp150-158

Abstract

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.
Brightness and Contrast Modification in Ultrasonography Images Using Edge Detection Results Supriyanti, Retno; Suwitno, Suwitno; Ramadhani, Yogi; Widodo, Haris Budi; Rosanti, Tutik Ida
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 | Full PDF (224.295 KB) | 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.
Performance Comparison of Data Mining Classification Algorithms for Early Warning System of Students Graduation Timeliness Fadli, Ari; Zulfa, Mulki Indana; Ramadhani, Yogi
Jurnal Teknologi dan Sistem Komputer Volume 6, Issue 4, Year 2018 (October 2018)
Publisher : Departemen Teknik Sistem Komputer, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.871 KB) | DOI: 10.14710/jtsiskom.6.4.2018.158-163

Abstract

Observasi terhadap data akademik yang bertumbuh dapat dilakukan menggunakan metode data mining, misalnya untuk memperoleh pengetahuan terkait faktor penentu ketepatan studi mahasiswa. Penelitian ini melakukan perbandingan kinerja algoritme klasifikasi decission tree, support vector machine (SVM), dan artificial neural network (ANN). Penelitian ini menggunakan data akademik mahasiswa Fakultas Teknik Universitas Jenderal Soedirman di semester gasal 2014/2015 hingga semester gasal 2017/2018 dan atribut-atribut yang mengacu pada peraturan akademik yang berlaku. Metode analisis yang digunakan adalah CRISP-DM. Hasil penelitian menunjukan bahwa SVM memberikan unjuk kerja terbaik, yaitu akurasi 90,55% dan AUC 0,959, dibandingkan dengan algoritme lain. Model dengan algoritme SVM dapat digunakan dalam sistem peringatan dini ketepatan studi mahasiswa.