Operasi Morfologi Dan Kode Rantai Untuk Menghitung Luas Area Basah Kertas Saring

https://doi.org/10.22146/ijeis.46130

Nafiatun Sholihah(1*), Agus Harjoko(2)

(1) Program Studi Ilmu Komputer, FMIPA UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract


Calculation of wet areas carried out with the help of millimeter block paper has the disadvantage of copying the edges that are less precise and the calculation time is quite long. Another problem is the consistency and accuracy that is generated depends on the subjective factors of the person and one's fatigue. In order for the process to be faster and more consistent, the calculation process using image processing is very necessary. Image preprocessing includes cropping, grayscalling, lowpass filter averaging, convertion to binary image based on otsu thresholding, and complementing images to pixel objects of value 1. Segmentation with morphological operations, including opening operations to remove small objects around objects, Holes Filling operations to fill holes in objects, opening operations again to remove objects other than wet areas. The process of calculating wet areas uses chain code. Based on the results of testing of 81 images, the use of morphological operations is able to produce segmentation of wet areas that approach the original wet area. The scale value affects the accuracy and the best scale is obtained from the use of the ruler. The use of chain code is able to calculate the wet area on filter paper with an average accuracy of 95.73%, the value is higher than extensive use by summing the pixel value even though it is not significant. The average calculation of wet areas uses a system of about 0.8 seconds or 379 times faster than using millimeter block.


Keywords


Wet area; morphological operations; chain code

Full Text:

PDF


References

[1] Sundari, “Nanoenkapsulasi ekstrak kunyit dengan kitosan dan sodium-tripolifosfat sebagai aditif pakan dalam upaya perbaikan kecernaan, kinerja dan kualitas daging ayam broiler,” Proquest Dissertation Universitas Gadjah Mada, 2014. Available : http://etd.repository.ugm.ac.id.

[2] R. E. Dewayani and H. N. O. Sjofjan, “Pengaruh penggunaan onggok dan ampas tahu terfermentasi mix culture aspergillus niger dan rhizopus oligosporus sebagai pengganti jagung dalam pakan terhadap kualitas fisik daging ayam pedaging,” J. Ilmu dan Teknol. Has. Ternak, vol. 10, no. 1, pp. 9–17, 2015 [Online]. Available : https://jitek.ub.ac.id/index.php/jitek/article/view/237. [Accessed: 16-Mar-2018]

[3] A. Susanto, “Penerapan operasi morfologi matematika citra digital untuk ekstraksi area plat nomor kendaraan bermotor,” Pseudocode, vol. VI, no. 1, pp. 49–57, 2019 [Online]. Available : https://ejournal.unib.ac.id/index.php/pseudocode/article/view/7265. [Accessed: 16-Mar-2018]

[4] Arini, F. Fahrianto, A. Agusta, and A. T. Muharam, “Pendeteksian posisi plat nomor mobil menggunakan metode morfologi dengan operasi dilasi, filling holes, dan opening,” Tek. Inform., vol. 8, no. 1, pp. 10–15, 2015 [Online]. Available : http://repository.uinjkt.ac.id/dspace/bitstream/123456789/31590/1/Arini%20dkk.pdf. [Accessed: 16-Mar-2018]

[5] A. Rizkinawati, I. Santoso, and A. A. Zahra, “Aplikasi metode kode rantai untuk menghitung panjang perbatasan daerah dan luas pulau di indonesia,” TRANSMISI, vol. 17, no. 2, 2015 [Online]. Available : https://ejournal.undip.ac.id/index.php/transmisi/article/view/8574. [Accessed: 16-Mar-2018]

[6] S. A. Syakri, Mulyadi, and Z. K. Simbolon, “Identifikasi tingkat kebulatan buah pepaya berdasarkan luas objek dengan pengolahan citra,” Infomedia, vol. 2, no. Desember, p. 2, 2017 [Online]. Available : http://e-jurnal.pnl.ac.id/index.php/infomedia/article/view/517/533. [Accessed: 16-Mar-2018]

[7] Y. P. Wiharja and A. Harjoko, “Pemrosesan citra digital untuk klasifikasi mutu buah pisang menggunakan jaringan saraf tiruan,” IJEIS, vol. 4, no. 1, pp. 57–68, 2014 [Online]. Available : https://jurnal.ugm.ac.id/ijeis/article/view/4222. [Accessed: 16-Mar-2018]

[8] A. Wicaksono and I. D. W. Susanto, “Sistem otomasi penggerak kamera dengan motor step sebagai alat bantu kalibrasi alat ukur panjang,” J.Oto.Ktrl.Inst, vol. 6, no. 2, pp. 105–120, 2014 [Online]. Available : https://ejournal.unib.ac.id/index.php/pseudocode/article/view/7265/3632. [Accessed: 16-Mar-2018]

[9] P. Hidayatullah, Pengolahan citra digital teori dan aplikasi nyata. Bandung: Informatika, 2017.

[10] A. Luque, A. Carrasco, A. Martin, and A. de las Heras, “The impact of class imbalance in classification performance metrics based on the binary confusion matrix,” Pattern Recognit., vol. 91, pp. 216–231, 2019 [Online]. Available : https://www.sciencedirect.com/science/article/pii/S0031320319300950. [Accessed: 16-Mar-2018]



DOI: https://doi.org/10.22146/ijeis.46130

Article Metrics

Abstract views : 1951 | views : 2521

Refbacks

  • There are currently no refbacks.




Copyright (c) 2021 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



Copyright of :
IJEIS (Indonesian Journal of Electronics and Instrumentations Systems)
ISSN 2088-3714 (print); ISSN 2460-7681 (online)
is a scientific journal the results of Electronics
and Instrumentations Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133
email:ijeis.mipa@ugm.ac.id | http://jurnal.ugm.ac.id/ijeis



View My Stats1
View My Stats2