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All Journal Jurnal Ilmiah Sinus Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)
Akhmad Fadjeri
Universitas Maarif Nahdlatul Ulama Kebumen
Computer Science & IT

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Karakteristik Morfologi Tanaman Selada Menggunakan Pengolahan Citra Digital Akhmad Fadjeri; Bayu Aji Saputra; Dicki Kusuma Adri Ariyanto; Lisna Kurniatin
Jurnal Ilmiah SINUS Vol 20, No 2 (2022): Vol. 20 No. 2 Juli 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i2.601

Abstract

The aim of this study is to find out characteristics of Green Rapid lettuce with digital image processing using morphological technique on image and first order statistical feature extraction. In digital image processing, the original images were processed to be RGB image and then processed again to be grayscale one. The grayscale images were processed to be biner image so that the image can be changed into biner form (0 and 1). In morphological process, this study used edge detection, dilation, and erosion. The final stage of morphological process used feature extraction process to find out image morphological characteristics which can be described mathematically. The result of extraction showed its samples within range or average area about 9.593.622.205.915.820 pixels, perimeter about 8.427.724.410.694.360 pixels, length about 829.877.174.308.893 pixels, and width about 1.654.002.663.010.820 pixels
ANALISIS TEKS BAHASA INDONESIA DAN INGGRIS DARI SEBUAH CITRA MENGGUNAKAN PENGOLAHAN CITRA DIGITAL Akhmad Fadjeri; Atik Muhimatun Asroriyah; Atiq Rahmawati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.650

Abstract

The purpose of this research is to analyze Indonesian text and English text from images using digital image processing. The method used in this research is an experimental method such as: literature review , identification problems, hypotheses, analyzing materials, designing programs, conducting tests and drawing conclusions. The result of this research is to detect the text contained in the image. This research result a digital image processing program in text that is containing from an image that has text in it, using input or input in form of a character image. The image that will be recognized into text with Tesseract OCR and output the text detected by the program. This program can show the level of accuracy to recognize characters and words. It conducted kind of testing on 8 images use several of text characters on it. In this case, the system can recognize characters on the text form, with an average accuracy 96% of the test data taken on images sourced from the internet. According to the testing results, this level of accuracy indicates that this application is quite accurate and efficient in identification the image of certain word or text character.
Co-Authors Atik Muhimatun A Atiq Rahmawati Bayu Aji Saputra Dicki Kusuma Adri Ariyanto Lisna Kurniatin