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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa UG Journal Prosiding KOMMIT IPTEK Journal of Proceedings Series Jurnal Ilmiah KOMPUTASI ILKOM Jurnal Ilmiah Jurnal Ilmiah Mandala Education (JIME) Journal of Industrial Engineering & Management Research (JIEMAR) WAHATUL MUJTAMA: Jurnal Pengabdian Masyarakat JURNAL AL-AQIDAH DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Pepadu Eduvest - Journal of Universal Studies Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Sosial Jurnal Wicara Desa

Rodiah Rodiah

Universitas Gunadarma

Author-ID : 362930

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Neuroscience Public Health Social Sciences Other

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Cursive Handwriting Segmentation using Ideal Distance Approach Fitrianingsih Fitrianingsih; Sarifuddin Madenda; Ernastuti Ernastuti; Suryarini Widodo; Rodiah Rodiah
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Offline cursive handwriting becomes a major challenge due to the huge amount of handwriting varieties such as slant handwriting, space between words, the size and direction of the letter, the style of writing the letter and handwriting with contour similarity on some letters. There are some steps for recursive handwriting recognition. The steps are preprocessing, morphology, segmentation, features of letter extraction and recognition. Segmentation is a crucial process in handwriting recognition since the success of segmentation step will determine the success level of recognition. This paper proposes a segmentation algorithm that segment recursive handwriting into letters. These letters will form words using a method that determine the intersection cutting point of image recursive handwriting with an ideal image distance. The ideal distance of recursive handwriting image is an ideal distance segmentation point in order to avoid the cutting of other letter’s section. The width and height of images are used to determine the accurate segmentation point. There were 999 recursive handwriting input images taken from 25 researchers used for this study. The images used are the images obtained from preprocessing step. Those are the images with slope correction. This study used Support Vector Machine (SVM) to recognize recursive handwriting. The experiments show the proposed segmentation algorithm able to segment the image precisely and have 97% success recognizing the recursive handwriting.

Optic Disc and Macula Localization from Retinal Optical Coherence Tomography and Fundus Image Rodiah Rodiah; Sarifuddin Madenda; Diana Tri Susetianigtias; Dewi Agushinta Rahayu; Ety Sutanty
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

This research used images from Optical Coherence Tomography (OCT) examination as well as fundus images to localize the optical disc and macular layer of retina. The researchers utilized the OCT and fundus image to interpret the distance between macular center and optic disc in the image. The distance will express the area of macula that can be employed for further research. This distance could recognize the thickness of macula parameters diameter that will be used in localizing process of optic disc and macula. The parameters are the circle radius, the size of window’s filter, the constant value and the size of optic disc element structure as well as the size of macula. The results of this study are expected to improve the accuracy of macula detection that experience the edema.

Co-Authors Adji Santoso Dradjat Ai Rosidah Andri Hanafi Andri Hanafi Arnita, Windi Fahmi Arya Aji Kusuma Baiq Alfia Rahmatul Aini CLEOPATRA, MARIA Dede Nurhayati Dewi Agushinta R. Diana Tri Susetianigtias Dja’far, Harmi Ibnu Dody Pernadi Dody Pernadi Eka Patriya Endang Setyowati Ernastuti Ernastuti Ety Sutanty Febrian, Baiq Eka Fitrianingsih Fitrianingsih Hadianur, Muhammad Haswari, Nanda Ciptaning I Wayan Lanus Sumadiasa Lalu Ahmad Zaenuri LukmanHY, LukmanHY M. Saltiar Kiswanto Maukar Maukar Maukar Maukar Maulana, Alvin Muhamad Juandi Muhammad Hanif Muliyono, Nurwakhid Nariswari Mahfudhah Nur Azizah Nuralifia, Elsa Mutiara NURUL HIDAYAH Putra, Wahyuda Mandala Rini Arianty Rini Arianty Rismayuni, Rismayuni Risnawati Risnawati Saadal Jannah Sarifuddin Madenda Sholeh, Zakiah Ulfah soleha, Aisyah Putri Suni, Muhammad Asy’ Arya Suryarini Widodo Susetianingtias, Diana Tri Tri Susetianingtias, Diana Triyani, Rika Subarniati Ubudiyah, Sativa Umri, Ropizar Usiana, Shilan

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Journal : International Journal of Electrical and Computer Engineering