Deteksi Ketinggian Air Pada Citra Screenshot Dengan Menerapkan Metode Template Matching


  • Rima Purwati * Mail Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Water Level Detection; Screenshot; Template Matching

Abstract

The current development of digital technology significantly impacts our daily lives. One prominent change is the digitization of image data, altering how we interact with the world around us. Digital technology enables digital media users to utilize image processing as an intelligent solution to tackle various challenges. A critical aspect of this technological application pertains to water level detection, particularly relevant in household water storage. Water storage serves as a pivotal element in storing clean water reserves to meet daily needs. Ensuring an adequate and high-quality water supply within these storage systems is a top priority. However, difficulties arise when attempting to monitor water levels, especially at night when illumination is minimal. To overcome this obstacle, innovative techniques for water detection and recognition are employed to accurately measure water levels during nighttime, aided by easily deployable IP camera technology. One efficient method involves template matching techniques. This innovation serves as a tangible example of how technological advancements, particularly in image processing, can bring about positive changes in managing and monitoring water availability in a household context. Consequently, technology plays a crucial role in meeting daily water needs more effectively, ensuring an ample water supply within the household environment.

Downloads

Download data is not yet available.

References

R. D. Pratama, S. Samsugi, and J. P. Sembiring, “Alat Deteksi Ketinggian Air Menggunakan Sensor Ultrasonik Dengan Database,” J. Tek. dan Sist. Komput., vol. 3, no. 1, pp. 45–55, 2022.

H. Muchtar and R. Apriadi, “Implementasi pengenalan wajah pada sistem penguncian rumah dengan metode template matching menggunakan open source computer vision library (opencv),” Resist. (elektRonika kEndali Telekomun. tenaga List. kOmputeR), vol. 2, no. 1, pp. 39–42, 2019.

A. K. Trivedi, D. M. Thounaojam, and S. Pal, “Non-invertible cancellable fingerprint template for fingerprint biometric,” Comput. Secur., vol. 90, p. 101690, 2020.

S. Muharom, “Pengenalan Nomor Ruangan Menggunakan Kamera Berbasis OCR Dan Template Matching,” J. Inf, vol. 3, no. 2, p. 57, 2019.

M. Michael, F. Tanoto, E. Wibowo, F. Lutan, and A. Dharma, “Pengenalan Plat Kendaraan Bermotor dengan Menggunakan Metode Template Matching dan Deep Belief Network,” MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 19, no. 1, pp. 27–36, 2019.

M. C. Solin, G. Ginting, M. Julyus, and F. Sirati, “Penerapan Metode Template Matching pada Citra Berwarna,” J. Pelita Inform., vol. 7, no. 3, pp. 310–312, 2019, [Online]. Available: http://id.wikipedia.org/wiki/Visual_Basic.

F. Flaurensia, T. Rismawan, and R. Hidayati, “Pengenalan Motif Batik Indonesia Menggunakan Deteksi Tepi Canny Dan Template Matching,” J. Coding, Sist. Komput. Untan, vol. 4, no. 2, pp. 130–140, 2016.

A. Putra, V. Sihombing, and M. H. Munandar, “Rancang bangun aplikasi deteksi tepi citra digital menggunakan algoritma prewitt,” J. Tekinkom (Teknik Inf. dan Komputer), vol. 4, no. 1, pp. 83–87, 2021.

W. Supriyanti, “Rancang Bangun Aplikasi Sistem Pendukung Keputusan Penerima Beasiswa dengan Metode SAW,” Creat. Inf. Technol. J., vol. 1, no. 1, p. 67, 2015, doi: 10.24076/citec.2013v1i1.11.

A. A. Poetra, R. Nandika, and T. K. Wijaya, “PROTOTIPE SISTEM MONITORING KETINGGIAN AIR PADA TANGKI BERBASIS INTERNET OF THINGS,” SIGMA Tek., vol. 6, no. 1, pp. 97–108, 2023.

T. F. Ramadhan and W. Triono, “Sistem Monitoring Ketinggian Air Dan Pengendalian Pintu Air Berbasis Microcontroller Nodecode Mcu Esp8266,” J. Teknol. Inf. dan Komun., vol. 10, no. 2, 2021.

A. Selao, “APLIKASI PENGOLAHAN CITRA SEBAGAI MEDIA PENGENALAN BATIK NUSANTARA,” J. Sintaks Log., vol. 1, no. 3, pp. 172–177, 2021.

Y. F. Mangaras, B. Y. Bambang Yuwono, and B. P. Dessyanto, “Dasar Pengolahan Citra Digital.” LPPM UPN Veteran Yogyakarta, 2022.

C. Zonyfar, Pengolahan Citra Digital: Sebuah Pengantar. Desanta Publisher, 2020.

J. Hafidz, “Penyebaran Screenshot Whatsapp dalam Perspektif Etika dan Hukum Pidana,” J. Cakrawala Inf., vol. 1, no. 1, pp. 58–73, 2021.

W. Astuti, “Implementasi metode super resolusi untuk meningkatkan kualitas citra hasil screenshot,” JURIKOM (Jurnal Ris. Komputer), vol. 7, no. 3, pp. 432–438, 2020.

I. G. P. A. Juniartha, I. N. G. Sugiartha, and N. M. P. Ujianti, “Keabsahan Hasil Cetak Screenshot Sebagai Alat Bukti dalam Pemeriksaan Perkara Perdata,” J. Konstr. Huk., vol. 2, no. 2, pp. 401–405, 2021.

D. David, R. Robet, and R. Raymond, “Aplikasi Pengenalan Ikan Berformalin Melalui Deteksi Mata Menggunakan Metode Template Matching Dan Metode Klasifikasi KNN,” J. Ilm. Core IT Community Res. Inf. Technol., vol. 10, no. 4, 2022.

A. Febriansyah, “Pengenalan Isyarat Abjad Pada Sistem Isyarat Bahasa Indonesia Dengan Menggunakan Metode Template Matching Halaman sampul.” Politeknik Negeri Jember, 2020.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Deteksi Ketinggian Air Pada Citra Screenshot Dengan Menerapkan Metode Template Matching

Dimensions Badge
Article History
Published: 2023-02-27
Abstract View: 384 times
PDF Download: 232 times
Section
Articles