PENERAPAN METODE NAÏVE BAYES DAN CONVOLUTIONAL NEURAL NETWORK DALAM KLASIFIKASI KESEGARAN IKAN MUNGKUS BERDASARKAN CITRA MATA DAN INSANG IKAN

Putra, Febby Andika (2025) PENERAPAN METODE NAÏVE BAYES DAN CONVOLUTIONAL NEURAL NETWORK DALAM KLASIFIKASI KESEGARAN IKAN MUNGKUS BERDASARKAN CITRA MATA DAN INSANG IKAN. Skripsi (Bachelor) thesis, Universitas Muhammadiyah Bengkulu.

[img] Text (Fulltext)
FEBBYANDIKAPUTRA_2155201034_Fulltext.pdf - Submitted Version
Restricted to Repository staff only
Download (3MB) | Request a copy
[img] Text (Turnitin)
FEBBYANDIKAPUTRA_2155201034_Turnitin.pdf - Submitted Version
Restricted to Repository staff only
Download (17MB) | Request a copy
[img] Text (Abstrak + Bab 1)
FEBBYANDIKAPUTRA_2155201034_ABSTRAK + BAB 1.pdf - Submitted Version
Download (1MB)
[img] Text (Bab 2)
FEBBYANDIKAPUTRA_2155201034_BAB 2.pdf - Submitted Version
Download (353kB)
[img] Text (Bab 3)
FEBBYANDIKAPUTRA_2155201034_BAB 3.pdf - Submitted Version
Restricted to Repository staff only
Download (467kB) | Request a copy
[img] Text (Bab 4)
FEBBYANDIKAPUTRA_2155201034_BAB 4.pdf - Submitted Version
Restricted to Repository staff only
Download (1MB) | Request a copy
[img] Text (Bab 5)
FEBBYANDIKAPUTRA_2155201034_BAB 5.pdf - Submitted Version
Download (132kB)
[img] Text (Ref + Lamp)
FEBBYANDIKAPUTRA_2155201034_Ref + Lampiran.pdf - Submitted Version
Download (222kB)

Abstract

The mungkus fish (Sicyopterus stimpsoni) is a species of freshwater fish that is a typical mascot of Kaur Regency, Bengkulu Province. This fish lives in clear, fast-flowing waters and is known for its ability to attach to rocks using a special structure on its stomach called a cupak. Mungkus fish has high economic value and is consumed daily by the local community. However, the high demand is not balanced by adequate availability, resulting in increasing prices. In addition, the lack of public knowledge regarding the assessment of fish freshness causes the risk of consuming fish that is not fresh, which has the potential to endanger health. Traditional assessment of fish freshness based on physical parameters such as eyes, gills, and meat texture is considered less accurate and requires special expertise. Therefore, this study proposes the use of the Naïve Bayes and Convolutional Neural Network (CNN) methods to classify the freshness of mungkus fish based on eye and gill images. Naïve Bayes works based on Bayes' Theorem with the assumption of independence between features, while CNN is able to extract complex features from images without the need for manual extraction. The application of these two methods is expected to provide an objective, efficient, and accurate solution in assessing the freshness of mungkus fish, and be beneficial for fishermen and consumers.

Item Type: Thesis (Skripsi (Bachelor))
Additional Information: Pembimbing : Yulia Darnita, S.Kom., M.Kom.
Uncontrolled Keywords: Classification, Fish Freshness, Naïve Bayes, CNN
Subjects: Universitas Muhammadiyah Bengkulu > 02-Fakultas Teknik > 55201-(S1) Teknik Informatika
02-Fakultas Teknik > 55201-(S1) Teknik Informatika
Divisions: 02-Fakultas Teknik > 55201-(S1) Teknik Informatika
Subjek Terkait > 02-Fakultas Teknik > 55201-(S1) Teknik Informatika
Depositing User: Mr Andeska Ulok Kupai
Date Deposited: 22 Sep 2025 04:02
Last Modified: 22 Sep 2025 04:02
URI: http://repository.umb.ac.id/id/eprint/1476

Actions (login required)

View Item View Item