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Menampilkan 1–7 dari 7 artikel
Jasmine Flower Classification with CNN Architectures: A Comparative Study of NasNetMobile, VGG16, and Xception in Agricultural Technology
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
Jasmine flowers have many benefits and uses such as for traditional medicine, tea, perfume, cosmetics, decoration, and others. in the selection of fresh jasmine flowers for making tea is very important, currently the classification of jasmine flowers for making tea is mostly still using manual methods. Often influenced by individual preferences, opinions, or biases. this causes a lack of objectivity and uncertainty in the classification of jasmine flowers. The manual method is very weak due to h...
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2 Sitasi
A Web-Based for Demak Batik Classification Using VGG16 Convolutional Neural Network
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
The diversity of Demak batik motifs presents challenges in classification and identification. This research aims to develop a Demak batik motif classification system using deep learning and VGG16 convolutional network. A dataset of Demak batik images is collected and processed to train the model. The VGG16 architecture is modified by fine-tuning to optimize the classification performance. Results show that the modified VGG16 model achieved a classification accuracy of 98.72% on the test dataset,...
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3 Sitasi
Classification of Corn Leaf Disease Using Convolutional Neural Network
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
Corn is a crop that plays a major role in food supply worldwide. Known as a cereal crop with high economic value, corn is one of the most important raw materials in the agricultural industry in many parts of the world. Leaf blight is characterized by small spots that gradually enlarge and turn brown. It is a decay of foliage caused by the fungus or species Rhizoctonia solani. Leaf spot is caused by the fungus Hel-minthoporium maydis, while stem rot is caused by Fusarium granearum. From these pro...
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3 Sitasi
Implementation of DenseNet121 Architecture for Waste Type Classification
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
The growing waste management problem in many parts of the world requires innovative solutions to ensure efficiency in sorting and recycling. One of the main challenges is accurate waste classification, which is often hampered by the variability in visual characteristics between waste types. As a solution, this research develops an image-based litter classification model using Deep Learning DenseNet architecture. The model is designed to address the need for automated waste sorting by classifying...
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6 Sitasi
Classification of Movie Recommendation on Netflix Using Random Forest Algorithm
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
Netflix is one of the most popular streaming platforms in this world. So many movies and shows with various genres and production countries are available on this platform. Netflix has their own recommendation systems for the subscribers according to their data and algorithm. This research aims to compare two methods of data classifications using Decision Tree and Random Forest algorithm and make a recommendation system based on Netflix dataset. This paper use feature importance to selecting rele...
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4 Sitasi
The AirNav Semarang Employee Presence System Using Face Recognition Based on Haar Cascade
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
The presence of employees is a key factor in supporting the needs of the workplace. At present, the employee presence system at PT. AirNav Indonesia Semarang Branch still uses fingerprint and RFID-based employee ID cards for authentication. This RFID-based system can increase employee fraud by allowing employees to misuse each other's ID cards. To avoid such fraud, a system needs to be built and it will be using face recognition technology as the primary authentication method, with the Haar Casc...
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1 Sitasi
UJI IMPLEMENTASI ALGORITMA VIOLA-JONES DALAM PENGENALAN WAJAH
Jatmoko, Cahaya
; Setiadi, De Rosal Ignatius Moses
; Hartanto, Danu
; Kurniawan, Alvin Faiz
; Rachmawanto, Eko Hari
; Sari, Christy Atika
; Nilawati, Florentina Esti
Dinamik
Vol 25
, No 2
(2020)
Salah satu algoritma yang sering digunakan untuk melakukan deteksi pada wajah yaitu Viola-Jones. Metode ini merupakan gabungan dari 3 buah fitur yaitu integral image, adaboost dan cascade classifier. Masing-masing fitur mempunyai fungsi tersendiri dan saling melengkapi. Integral image digunakan dalam penentuan ada dan tidaknya gambar, adaboost untuk memilih dan mengatur nilai threshold, sedangkan cascade classifier untuk mengklasifikasi daerah yang akan di deteksi. Untuk memudahkan deteksi, teru...
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