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PKP Metadata Items |
Metadata for this Document |
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| 1. |
Title |
Title of document |
Design and Development of Spice Image Classification Application of Zingiberaceae Family with Rapid Application Development Method |
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| 2. |
Creator |
Author's name, affiliation, country |
Fawnia Avissa Nariswari; Gunadarma University; Indonesia |
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| 2. |
Creator |
Author's name, affiliation, country |
Marliza Ganefi Gumay; Universitas Gunadarma; Indonesia |
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| 2. |
Creator |
Author's name, affiliation, country |
Slamet Riyanto; Badan Riset dan Inovasi Nasional; Indonesia |
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| 2. |
Creator |
Author's name, affiliation, country |
Al Hafiz Akbar Maulana Siagian; Badan Riset dan Inovasi Nasional; Indonesia |
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| 3. |
Subject |
Discipline(s) |
Sistem Informasi |
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| 3. |
Subject |
Keyword(s) |
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| 4. |
Description |
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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| 5. |
Publisher |
Organizing agency, location |
Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer |
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| 6. |
Contributor |
Sponsor(s) |
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| 7. |
Date |
(YYYY-MM-DD) |
2024-09-29
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| 8. |
Type |
Status & genre |
Peer-reviewed Article |
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| 8. |
Type |
Type |
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| 9. |
Format |
File format |
PDF |
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| 10. |
Identifier |
Uniform Resource Identifier |
https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/3455 |
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| 10. |
Identifier |
Digital Object Identifier (DOI) |
https://doi.org/10.32520/stmsi.v13i5.3455 |
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| 11. |
Source |
Title; vol., no. (year) |
SISTEMASI; Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi |
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| 12. |
Language |
English=en |
id |
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| 13. |
Relation |
Supp. Files |
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| 14. |
Coverage |
Geo-spatial location, chronological period, research sample (gender, age, etc.) |
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| 15. |
Rights |
Copyright and permissions |
Copyright (c) 2024 Sistemasi: Jurnal Sistem Informasi
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