Article Per Year (5 Year)
p-Index From 2020 - 2025
1.745
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Transportasi Jurnal Teknologi Prosiding SNATIF International Journal of Advances in Intelligent Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Techne : Jurnal Ilmiah Elektroteknika Communications in Science and Technology Buletin Ilmiah Sarjana Teknik Elektro IJITEE (International Journal of Information Technology and Electrical Engineering) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Quantitative Research and Modeling Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Automotive Experiences
Oyas Wahyunggoro
Univeristas Gadjah Mada
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Published : 38 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Advances in Intelligent Informatics

 1 
A new approach for sensitivity improvement of retinal blood vessel segmentation in high-resolution fundus images based on phase stretch transform Kartika Firdausy; Oyas Wahyunggoro; Hanung Adi Nugroho; Muhammad Bayu Sasongko
International Journal of Advances in Intelligent Informatics Vol 8, No 3 (2022): November 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v8i3.914

Abstract

The eye-fundus photograph is widely used for eye examinations. Accurate identification of retinal blood vessels could reveal information that is helpful for clinical diagnoses of many health disorders. Although several methods have been proposed to segment images of retinal blood vessels, the sensitivity of these methods is plausible to be improved. The algorithm’s sensitivity refers to the algorithm’s ability to identify retinal vessel pixels correctly. Furthermore, the resolution and quality of retinal images are improving rapidly. Consequently, new segmentation methods are in demand to overcome issues from high-resolution images. This study presented improved performance of retinal vessel segmentation using a novel edge detection scheme based on the phase stretch transform (PST) function as its kernel. Before applying the edge detection stage, the input retinal images were pre-processed. During the pre-processing step, non-local means filtering on the green channel image, followed by contrast limited adaptive histogram equalization (CLAHE) and median filtering, were applied to enhance the retinal image. After applying the edge detection stage, the post-processing steps, including the CLAHE, median filtering, thresholding, morphological opening, and closing, were implemented to obtain the segmented image. The proposed method was evaluated using images from the high-resolution fundus (HRF) public database and yielded promising results for sensitivity improvement of retinal blood vessel detection. The proposed approach contributes to a better segmentation performance with an average sensitivity of 0.813, representing a clear improvement over several benchmark techniques
Dynamic path planning using a modified genetic algorithm Pratomo, Awang Hendrianto; Wahyunggoro, Oyas; Triharminto, Hendri Himawan
International Journal of Advances in Intelligent Informatics Vol 10, No 3 (2024): August 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v10i3.699

Abstract

Genetic algorithm (GA) is well-known algorithm to find a feasible path planning which can be defined as global optimum problem. The drawback of GA is the high computation due to random process on each operator.  In this research, the new initial population integrating with new crossover operator strategy was proposed. The parameter is the length of distance travelled of the robot. Before employing the crossover operator, generating a c-obstacle have been done. The c-obstacle is used  as a filter to reduce unnecessary nodes to decrease time computation. After that, the initial population has been determined. The initial population is divided into two parents which parent’s chromosome contains an initial and goal position. The second parents are fulfilled with nodes from each obstacle. The genes of chromosome will add with c-obstacle nodes. Crossover operator is applied after filtering and c-obstacle of possible hopping is determined. Filtering method is used to remove unnecessary nodes that are part of c-obstacle. Fitness function considers the distance from  the last to next position. Optimum value is the shortest distance of path planning which avoids the obstacle in front.  The aim of the proposed method is to reduce the random population and random operating in GA. By using a similar data set of previous researches, the modified GA can reduce the total of generation and yield an adaptive generation number. This means that the modified GA converges faster than the other GA methods.
Co-Authors ., Priyatmadi Adha Cahyadi Adha Cahyadi, Adha Adha Imam Cahyadi Adha Iman Cahyadi Adha Iman Cahyadi Adhi Susanto Agus Sujono Agus Sujono Awang Hendrianto Pratomo Bhisma Adji Pramana Bhisma Adji Pramana, Bhisma Adji Bobby Rian Dewangga Bwo Ren Ke Dani Prasetyo Daniel Santoso Edy Raharjo, R Suryoto Eka Firmansyah Eka Firmansyah Erwan Eko Prasetiyo Ginting, Almido Almido Haryanto Hanifah Rahmi Fajrin, Hanifah Rahmi Hanung Adi Nugroho Hari Maghfiroh Hari Wibawa Harmoko Harmoko Ibrahim Kamaruddin Ibrahim Kamaruddin Indah Soesanti Irwan Novianto Iswanto Iswanto Kartika Firdausy Kuo Lung Lian Kusban, Muhammad Lora Khaula Amifia Lukito Edi Nugroho M. Nisvo Ramadan M. Nisvo Ramadan, M. Nisvo Madzlan Napiah Madzlan Napiah Maghfiroh, Hari Muhammad Bayu Sasongko Muhammad Fikri Ardiansyah Noor Akhmad Setiawan Nugroho, Anan Nurman Setiawan Prapto Nugroho Prapto Nugroho Prayadi Sulistyanto Priyatmadi . R Suryoto Edy Raharjo R. Soekrisno Risanuri Hidayat Risky Via Yuliantari Roedy Kristiyono Rudi Uswarman Sajiah, Adha Mashur Seta Yuliawan Sigit Agung Widayat Sigit Agung Widayat, Sigit Agung Soekrisno, R. Sujono, Agus Surriani, Atikah Suwardo Suwardo Suwardo Suwardo Syifaun Nafisah Triharminto, Hendri Himawan Widyawati Prima, Widyawati