Design and Development of Spice Image Classification Application of Zingiberaceae Family with Rapid Application Development Method

Fawnia Avissa Nariswari, Marliza Ganefi Gumay, Slamet Riyanto, Al Hafiz Akbar Maulana Siagian

Abstract


In the culinary and health fields, spices are known to play a significant role. However, differentiating and identifying spices can often be challenging, especially for students or individuals with impaired sense of smell and taste. Our research builds upon our previous study, which involved designing a spice classification model using the pre-trained EfficientNetB0 model, yielding a testing accuracy of 48%. This study designs and develops an application for classifying images of spices from the Zingiberaceae family using the Rapid Application Development (RAD) method, aimed at addressing the difficulties of manual spice identification. Testing results using a black box technique indicate that the designed application performs well in basic tasks such as opening the interface without significant errors, responding promptly to functional buttons, and displaying user-inputted image results. However, in one of the testing scenarios, the application struggled to accurately classify certain spice images, indicating the need for improvements in the model used for more precise spice image classification.

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References


K.P. Sukmawati, S. Setyowati, and T.N.S. Hartini, "Penggunaan Standar Bumbu Masakan Lauk Hewani dan Nabati di RSUD Panembahan Senopati Bantul Yogyakarta," Jurnal Nutrisia, vol. 19, no. 2, pp. 131-139, 2017.

Hikmatulloh, Erfah, Elly Lasmanawati, and Tati Setiawati, "Manfaat Pengetahuan Bumbu Dan Rempah Pada Pengolahan Makanan Indonesia Siswa Smkn 9 Bandung," Media Pendidikan, Gizi, dan Kuliner, vol. 6, no. 1, 2017.

I. Huynh, P.P., L.E. Ishii, and M. Ishii, "What is anosmia?," Jama, vol. 324, no. 2, pp. 206-206, 2020.

Liputan6dotcom, “Sulit Bedakan Rempah-Rempah seperti Jahe, Lengkuas, Kunyit, dan Kencur? Begini Caranya,” liputan6.com, Mar. 09, 2018. https://www.liputan6.com/citizen6/read/3353975/sulit-bedakan-rempah-rempah-seperti-jahe-lengkuas-kunyit-dan-kencur-begini-caranya (accessed Aug. 22, 2023).

F. A. Nariswari, "Spices in Family Zingiberaceae Classification Using Convolutional Neural Network," 2022 (Unpublished).

K. Indrani, D. Khrisne, and I. Suyadnya, "Android Based Application for Rhizome Medicinal Plant Recognition Using SqueezeNet," J Electr Electron Inform, vol. 4, no. 1, pp. 10-14, 2020.

K. E. Kendall, J. E. Kendall, K. E. Kendall, and J. A. Kendall, "Systems Analysis and Design," Pearson Prentice Hall, Upper Saddle River, NJ, 2011.

M. Seidl, M. Scholz, C. Huemer, and G. Kappel, "UML@ Classroom: An Introduction to Object-Oriented Modeling," 2012.

A. Meier and M. Kaufmann, "SQL & NoSQL Databases," Springer Fachmedien Wiesbaden, Berlin/Heidelberg, Germany, 2019.(Meier & Kaufmann, 2019).

D. Graham, R. Black, and E. Van Veenendaal, "Foundations of Software Testing ISTQB Certification," Cengage Learning, 2021.

R. S. Pressman, "Software Engineering: A Practitioner’s Approach," 2001.

I. Wulandari, H. Yasin, and T. Widiharih, "Klasifikasi Citra Digital Bumbu dan Rempah dengan Algoritma Convolutional Neural Network (CNN)," Jurnal Gaussian, vol. 9, no. 3, pp. 273-282, 2020.

E. Tanuwijaya and A. Roseanne, "Modifikasi Arsitektur VGG16 untuk Klasifikasi Citra Digital Rempah-Rempah Indonesia," MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 21, no. 1, pp. 189-196, 2021.

A. E. Putra, M. F. Naufal, and V. R. Prasetyo, "Klasifikasi Jenis Rempah Menggunakan Convolutional Neural Network dan Transfer Learning," JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 9, no. 1, pp. 12-17, 2023.

R. S. Pressman, "Software Engineering: A Practitioner's Approach," Palgrave Macmillan, 2005.

Xue Ying, "An overview of overfitting and its solutions," Journal of Physics: Conference Series, vol. 1168, p. 022022, IOP Publishing, 2019.




DOI: https://doi.org/10.32520/stmsi.v13i5.3455

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