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Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024
Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024 Status Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024: SubtitleStatus Gizi Mahsiswa Program Studi Penndidikan Jasmani Kesehatan dan Rekreasi Universitas Rokania Pada Semester Pendek Tahun Akademik 2023-2024
Comparison Data
Classification of Capsicum Varieties Using Color Analysis with Convolutional Neural Network
Paprika (Capsicum annuum L.) is a high-value horticultural commodity widely consumed for its nutritional content and vibrant color variations. In the agricultural industry, classifying paprika varieties based on color is crucial for ensuring product quality and optimizing sorting processes. This study developed an automated classification system for three main paprika varieties—red, green, and yellow—using the Convolutional Neural Network (CNN) method. The dataset consisted of 1,820 images sourced from Kaggle, with data split into 60% for training and 40% for validation. Preprocessing steps included resizing images, normalizing pixel values to the range [0,1], and data augmentation techniques such as rotation, flipping, and brightness adjustments to enhance dataset diversity and reduce the risk of overfitting. The CNN model was designed with key layers, including convolutional, pooling, and fully connected layers, optimized using the Adam algorithm and categorical cross-entropy loss function. The training results showed an accuracy of 99.9% on the training data and 92% on the testing data, with an average processing time of 64 seconds per image and a maximum of 78 seconds, demonstrating the model's efficiency for real-time applications. The k-fold cross-validation technique was also employed to ensure the model's generalization ability to new data. This study demonstrated that CNN is an effective method for classifying paprika varieties based on color analysis, offering an accurate, fast, and scalable solution for automating sorting and grading processes in the agricultural sector, reducing human errors, and improving operational efficiency
Stemming
Submited Data:
status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 status gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 subtitlestatus gizi mahsiswa program studi penndidikan jasmani kesehatan rekreasi universitas rokania semester pendek tahun akademik 2023 2024 Comparison Data:
classification of capsicum varieties using color analysis with convolutional neural network paprika capsicum annuum l is a high value horticultural commodity widely consumed for its nutritional content and vibrant color variations in the agricultural industry classifying paprika varieties based on color is crucial for ensuring product quality and optimizing sorting processes this study developed an automated classification system for three main paprika varieties mdash red green and yellow mdash using the convolutional neural network cnn method the dataset consisted of 1 820 images sourced from kaggle with data split into 60 for training and 40 for validation preprocessing steps included resizing images normalizing pixel values to the range and data augmentation techniques such as rotation flipping and brightness adjustments to enhance dataset diversity and reduce the risk of overfitting the cnn model was designed with key layers including convolutional pooling and fully connected layers optimized using the adam algorithm and categorical cross entropy loss function the training results showed an accuracy of 99 9 on the training data and 92 on the testing data with an average processing time of 64 seconds per image and a maximum of 78 seconds demonstrating the model s efficiency for real time applications the k fold cross validation technique was also employed to ensure the model s generalization ability to new data this study demonstrated that cnn is an effective method for classifying paprika varieties based on color analysis offering an accurate fast and scalable solution for automating sorting and grading processes in the agricultural sector reducing human errors and improving operational efficiency
Jaro Winkler
| Word | TW | HV | Detail |
|---|---|---|---|
| 1. status | 157 words | 0.76 | classification : 0.46, of : 0, capsicum : 0.51, varieties : 0.61, using : 0.46, color : 0, analysis : 0.53, with : 0.47, convolutional : 0.33, neural : 0.39, network : 0.44, paprika : 0.44, annuum : 0.56, l : 0, is : 0.56, a : 0.72, high : 0, value : 0.58, horticultural : 0.47, commodity : 0, widely : 0, consumed : 0.53, for : 0, its : 0.5, nutritional : 0.48, content : 0.44, and : 0.5, vibrant : 0.44, variations : 0.49, in : 0, the : 0.5, agricultural : 0.47, industry : 0.46, classifying : 0.48, based : 0.41, on : 0, crucial : 0.44, ensuring : 0.53, product : 0.44, quality : 0.54, optimizing : 0.42, sorting : 0.59, processes : 0.43, this : 0.61, study : 0.76, developed : 0, an : 0.56, automated : 0.58, system : 0.6, three : 0.46, main : 0.47, mdash : 0.58, red : 0, green : 0, yellow : 0, cnn : 0, method : 0.44, dataset : 0.53, consisted : 0.5, 1 : 0, 820 : 0, images : 0.56, sourced : 0.59, from : 0, kaggle : 0.44, data : 0.44, split : 0.62, into : 0.47, 60 : 0, training : 0.53, 40 : 0, validation : 0.51, preprocessing : 0.41, steps : 0.76, included : 0.43, resizing : 0.43, normalizing : 0.42, pixel : 0, values : 0.67, to : 0.56, range : 0.46, augmentation : 0.54, techniques : 0.6, such : 0.52, as : 0.61, rotation : 0.63, flipping : 0, brightness : 0.51, adjustments : 0.51, enhance : 0.44, diversity : 0.43, reduce : 0.44, risk : 0.47, overfitting : 0.42, model : 0, was : 0.5, designed : 0.43, key : 0, layers : 0.56, including : 0.43, pooling : 0, fully : 0, connected : 0.43, optimized : 0.43, adam : 0.47, algorithm : 0.52, categorical : 0.34, cross : 0.46, entropy : 0.44, loss : 0.61, function : 0.36, results : 0.66, showed : 0.5, accuracy : 0.53, 99 : 0, 9 : 0, 92 : 0, testing : 0.53, average : 0.44, processing : 0.42, time : 0.47, 64 : 0, seconds : 0.59, per : 0, image : 0.46, maximum : 0.54, 78 : 0, demonstrating : 0.5, s : 0.75, efficiency : 0, real : 0.47, applications : 0.5, k : 0, fold : 0, technique : 0.52, also : 0.44, employed : 0, ensure : 0.56, generalization : 0.41, ability : 0.54, new : 0, demonstrated : 0.5, that : 0.75, effective : 0.43, offering : 0, accurate : 0.51, fast : 0.58, scalable : 0.58, solution : 0.56, automating : 0.56, grading : 0.44, sector : 0.6, reducing : 0.43, human : 0.46, errors : 0.44, improving : 0, operational : 0.34 |
| 2. gizi | 157 words | 0.71 | classification : 0.55, of : 0, capsicum : 0.46, varieties : 0.57, using : 0.48, color : 0, analysis : 0.46, with : 0.5, convolutional : 0.44, neural : 0, network : 0, paprika : 0.46, annuum : 0, l : 0, is : 0.58, a : 0, high : 0.5, value : 0, horticultural : 0.44, commodity : 0.45, widely : 0.47, consumed : 0, for : 0, its : 0.53, nutritional : 0.56, content : 0, and : 0, vibrant : 0.46, variations : 0.57, in : 0.58, the : 0, agricultural : 0.56, industry : 0.46, classifying : 0.45, based : 0, on : 0, crucial : 0.46, ensuring : 0.46, product : 0, quality : 0.46, optimizing : 0.57, sorting : 0.46, processes : 0, this : 0.5, study : 0, developed : 0, an : 0, automated : 0, system : 0, three : 0, main : 0.5, mdash : 0, red : 0, green : 0.54, yellow : 0, cnn : 0, method : 0, dataset : 0, consisted : 0.45, 1 : 0, 820 : 0, images : 0.47, sourced : 0, from : 0, kaggle : 0.47, data : 0, split : 0.48, into : 0.5, 60 : 0, training : 0.58, 40 : 0, validation : 0.57, preprocessing : 0, steps : 0, included : 0.46, resizing : 0.71, normalizing : 0.45, pixel : 0.48, values : 0, to : 0, range : 0, augmentation : 0.44, techniques : 0.45, such : 0, as : 0, rotation : 0.46, flipping : 0.58, brightness : 0.4, adjustments : 0, enhance : 0, diversity : 0.57, reduce : 0, risk : 0.5, overfitting : 0.45, model : 0, was : 0, designed : 0.46, key : 0, layers : 0, including : 0.57, pooling : 0.46, fully : 0, connected : 0, optimized : 0.57, adam : 0, algorithm : 0.57, categorical : 0.56, cross : 0, entropy : 0, loss : 0, function : 0.46, results : 0, showed : 0, accuracy : 0, 99 : 0, 9 : 0, 92 : 0, testing : 0.46, average : 0, processing : 0.45, time : 0.5, 64 : 0, seconds : 0, per : 0, image : 0.48, maximum : 0.46, 78 : 0, demonstrating : 0, s : 0, efficiency : 0.57, real : 0, applications : 0.56, k : 0, fold : 0, technique : 0.45, also : 0, employed : 0, ensure : 0, generalization : 0.69, ability : 0.6, new : 0, demonstrated : 0, that : 0, effective : 0.45, offering : 0.46, accurate : 0, fast : 0, scalable : 0, solution : 0.46, automating : 0.45, grading : 0.64, sector : 0, reducing : 0.46, human : 0, errors : 0, improving : 0.57, operational : 0.45 |
| 3. mahsiswa | 157 words | 0.77 | classification : 0.59, of : 0, capsicum : 0.58, varieties : 0.57, using : 0.55, color : 0, analysis : 0.67, with : 0.42, convolutional : 0.47, neural : 0.43, network : 0.42, paprika : 0.6, annuum : 0.43, l : 0, is : 0.54, a : 0.71, high : 0.58, value : 0.44, horticultural : 0.54, commodity : 0.49, widely : 0.43, consumed : 0.42, for : 0, its : 0.49, nutritional : 0.48, content : 0, and : 0.49, vibrant : 0.35, variations : 0.55, in : 0, the : 0.49, agricultural : 0.54, industry : 0.42, classifying : 0.54, based : 0.55, on : 0, crucial : 0.51, ensuring : 0.5, product : 0, quality : 0.51, optimizing : 0.32, sorting : 0.51, processes : 0.49, this : 0.6, study : 0.44, developed : 0, an : 0.54, automated : 0.49, system : 0.53, three : 0.44, main : 0.77, mdash : 0.71, red : 0, green : 0, yellow : 0.43, cnn : 0, method : 0.58, dataset : 0.51, consisted : 0.57, 1 : 0, 820 : 0, images : 0.63, sourced : 0.42, from : 0.46, kaggle : 0.43, data : 0.46, split : 0.55, into : 0, 60 : 0, training : 0.5, 40 : 0, validation : 0.56, preprocessing : 0.47, steps : 0.55, included : 0, resizing : 0.5, normalizing : 0.55, pixel : 0.44, values : 0.53, to : 0, range : 0.44, augmentation : 0.44, techniques : 0.56, such : 0.42, as : 0.75, rotation : 0.5, flipping : 0.42, brightness : 0.45, adjustments : 0.48, enhance : 0.35, diversity : 0.32, reduce : 0, risk : 0.42, overfitting : 0.41, model : 0.5, was : 0.64, designed : 0.5, key : 0, layers : 0.53, including : 0.41, pooling : 0.42, fully : 0, connected : 0, optimized : 0.41, adam : 0.42, algorithm : 0.49, categorical : 0.55, cross : 0.55, entropy : 0, loss : 0.58, function : 0.42, results : 0.51, showed : 0.51, accuracy : 0.5, 99 : 0, 9 : 0, 92 : 0, testing : 0.51, average : 0.51, processing : 0.45, time : 0.42, 64 : 0, seconds : 0.51, per : 0, image : 0.55, maximum : 0.68, 78 : 0, demonstrating : 0.54, s : 0.71, efficiency : 0.41, real : 0.46, applications : 0.54, k : 0, fold : 0, technique : 0.49, also : 0.58, employed : 0.42, ensure : 0.43, generalization : 0.53, ability : 0.51, new : 0, demonstrated : 0.54, that : 0.42, effective : 0.41, offering : 0.42, accurate : 0.5, fast : 0.58, scalable : 0.47, solution : 0.5, automating : 0.47, grading : 0.51, sector : 0.43, reducing : 0.42, human : 0.49, errors : 0.43, improving : 0.49, operational : 0.55 |
| 4. program | 157 words | 0.73 | classification : 0.4, of : 0.55, capsicum : 0.51, varieties : 0.42, using : 0.45, color : 0.56, analysis : 0.42, with : 0, convolutional : 0.41, neural : 0.54, network : 0.52, paprika : 0.66, annuum : 0.44, l : 0, is : 0, a : 0, high : 0.46, value : 0, horticultural : 0.31, commodity : 0.5, widely : 0, consumed : 0.51, for : 0.48, its : 0, nutritional : 0.49, content : 0.43, and : 0, vibrant : 0.52, variations : 0.33, in : 0, the : 0, agricultural : 0.55, industry : 0.42, classifying : 0.41, based : 0, on : 0.55, crucial : 0.52, ensuring : 0.42, product : 0.73, quality : 0, optimizing : 0.47, sorting : 0.36, processes : 0.71, this : 0, study : 0, developed : 0.42, an : 0, automated : 0.48, system : 0.44, three : 0.45, main : 0, mdash : 0, red : 0.49, green : 0.45, yellow : 0.44, cnn : 0, method : 0.44, dataset : 0.43, consisted : 0.42, 1 : 0, 820 : 0, images : 0.44, sourced : 0.36, from : 0.6, kaggle : 0.44, data : 0.46, split : 0.45, into : 0.46, 60 : 0, training : 0.51, 40 : 0, validation : 0.41, preprocessing : 0.63, steps : 0, included : 0, resizing : 0.42, normalizing : 0.48, pixel : 0.5, values : 0, to : 0.55, range : 0.56, augmentation : 0.45, techniques : 0, such : 0, as : 0, rotation : 0.6, flipping : 0.42, brightness : 0.5, adjustments : 0.41, enhance : 0.43, diversity : 0.42, reduce : 0.44, risk : 0.46, overfitting : 0.32, model : 0.45, was : 0, designed : 0.42, key : 0, layers : 0.44, including : 0, pooling : 0.57, fully : 0, connected : 0.42, optimized : 0.48, adam : 0, algorithm : 0.59, categorical : 0.52, cross : 0.56, entropy : 0.52, loss : 0.46, function : 0, results : 0.43, showed : 0.44, accuracy : 0.51, 99 : 0, 9 : 0, 92 : 0, testing : 0, average : 0.51, processing : 0.7, time : 0, 64 : 0, seconds : 0.43, per : 0.69, image : 0.45, maximum : 0.43, 78 : 0, demonstrating : 0.46, s : 0, efficiency : 0, real : 0.46, applications : 0.32, k : 0, fold : 0.46, technique : 0, also : 0.46, employed : 0.51, ensure : 0.44, generalization : 0.44, ability : 0, new : 0, demonstrated : 0.47, that : 0, effective : 0, offering : 0.35, accurate : 0.51, fast : 0, scalable : 0.42, solution : 0.42, automating : 0.47, grading : 0.43, sector : 0.54, reducing : 0.42, human : 0.45, errors : 0.53, improving : 0.59, operational : 0.52 |
| 5. studi | 157 words | 0.92 | classification : 0.51, of : 0, capsicum : 0.55, varieties : 0.44, using : 0.47, color : 0, analysis : 0.44, with : 0.48, convolutional : 0.52, neural : 0.46, network : 0.45, paprika : 0.45, annuum : 0.46, l : 0, is : 0.57, a : 0, high : 0, value : 0.47, horticultural : 0.5, commodity : 0.54, widely : 0.46, consumed : 0.55, for : 0, its : 0.51, nutritional : 0.51, content : 0.45, and : 0.51, vibrant : 0, variations : 0.37, in : 0, the : 0.51, agricultural : 0.36, industry : 0.38, classifying : 0.53, based : 0.47, on : 0, crucial : 0.56, ensuring : 0.66, product : 0.4, quality : 0.56, optimizing : 0.53, sorting : 0.71, processes : 0, this : 0.48, study : 0.92, developed : 0.44, an : 0, automated : 0.37, system : 0.62, three : 0.47, main : 0, mdash : 0, red : 0.51, green : 0, yellow : 0, cnn : 0, method : 0.58, dataset : 0.45, consisted : 0.54, 1 : 0, 820 : 0, images : 0, sourced : 0.61, from : 0, kaggle : 0, data : 0.48, split : 0.64, into : 0.48, 60 : 0, training : 0.55, 40 : 0, validation : 0.37, preprocessing : 0, steps : 0.68, included : 0.55, resizing : 0.55, normalizing : 0.43, pixel : 0, values : 0.46, to : 0.57, range : 0, augmentation : 0.51, techniques : 0.53, such : 0.67, as : 0.57, rotation : 0.55, flipping : 0.44, brightness : 0.37, adjustments : 0.55, enhance : 0, diversity : 0.54, reduce : 0.41, risk : 0, overfitting : 0.43, model : 0.47, was : 0, designed : 0.55, key : 0, layers : 0, including : 0.64, pooling : 0.45, fully : 0.47, connected : 0, optimized : 0.54, adam : 0, algorithm : 0.44, categorical : 0.53, cross : 0, entropy : 0.45, loss : 0, function : 0.55, results : 0.56, showed : 0.62, accuracy : 0.44, 99 : 0, 9 : 0, 92 : 0, testing : 0.57, average : 0, processing : 0.43, time : 0.48, 64 : 0, seconds : 0.61, per : 0, image : 0, maximum : 0.45, 78 : 0, demonstrating : 0.44, s : 0.76, efficiency : 0.43, real : 0, applications : 0.43, k : 0, fold : 0.48, technique : 0.54, also : 0, employed : 0, ensure : 0.58, generalization : 0.42, ability : 0.45, new : 0, demonstrated : 0.45, that : 0.48, effective : 0.44, offering : 0.44, accurate : 0.44, fast : 0, scalable : 0.5, solution : 0.71, automating : 0.52, grading : 0.56, sector : 0.62, reducing : 0.55, human : 0.47, errors : 0, improving : 0.44, operational : 0.53 |
| 6. penndidikan | 157 words | 0.69 | classification : 0.55, of : 0, capsicum : 0.48, varieties : 0.42, using : 0.36, color : 0, analysis : 0.48, with : 0.45, convolutional : 0.47, neural : 0.34, network : 0.46, paprika : 0.68, annuum : 0.51, l : 0, is : 0, a : 0, high : 0.45, value : 0.43, horticultural : 0.45, commodity : 0.47, widely : 0.48, consumed : 0.48, for : 0, its : 0, nutritional : 0.57, content : 0.46, and : 0.62, vibrant : 0.32, variations : 0.52, in : 0.53, the : 0.47, agricultural : 0.45, industry : 0.48, classifying : 0.52, based : 0.53, on : 0.53, crucial : 0.49, ensuring : 0.54, product : 0.54, quality : 0.41, optimizing : 0.59, sorting : 0.32, processes : 0.52, this : 0.45, study : 0.43, developed : 0.42, an : 0.53, automated : 0.3, system : 0.42, three : 0.43, main : 0.39, mdash : 0.43, red : 0.62, green : 0.53, yellow : 0.42, cnn : 0.62, method : 0.51, dataset : 0.32, consisted : 0.42, 1 : 0, 820 : 0, images : 0.42, sourced : 0.49, from : 0, kaggle : 0.42, data : 0.45, split : 0.53, into : 0.45, 60 : 0, training : 0.54, 40 : 0, validation : 0.52, preprocessing : 0.6, steps : 0.36, included : 0.55, resizing : 0.54, normalizing : 0.58, pixel : 0.56, values : 0.42, to : 0, range : 0.36, augmentation : 0.56, techniques : 0.52, such : 0, as : 0, rotation : 0.31, flipping : 0.5, brightness : 0.29, adjustments : 0.45, enhance : 0.57, diversity : 0.48, reduce : 0.51, risk : 0.45, overfitting : 0.58, model : 0.36, was : 0, designed : 0.56, key : 0.47, layers : 0.42, including : 0.48, pooling : 0.51, fully : 0, connected : 0.52, optimized : 0.52, adam : 0.45, algorithm : 0.4, categorical : 0.52, cross : 0, entropy : 0.49, loss : 0, function : 0.44, results : 0.41, showed : 0.51, accuracy : 0.41, 99 : 0, 9 : 0, 92 : 0, testing : 0.46, average : 0.41, processing : 0.63, time : 0.39, 64 : 0, seconds : 0.57, per : 0.69, image : 0.43, maximum : 0.41, 78 : 0, demonstrating : 0.53, s : 0, efficiency : 0.5, real : 0.45, applications : 0.56, k : 0, fold : 0.45, technique : 0.54, also : 0, employed : 0.44, ensure : 0.51, generalization : 0.6, ability : 0.49, new : 0.45, demonstrated : 0.46, that : 0, effective : 0.47, offering : 0.44, accurate : 0.41, fast : 0, scalable : 0, solution : 0.31, automating : 0.41, grading : 0.4, sector : 0.42, reducing : 0.5, human : 0.43, errors : 0.42, improving : 0.42, operational : 0.57 |
| 7. jasmani | 157 words | 0.76 | classification : 0.54, of : 0, capsicum : 0.6, varieties : 0.5, using : 0.56, color : 0, analysis : 0.61, with : 0, convolutional : 0.48, neural : 0.44, network : 0, paprika : 0.51, annuum : 0.54, l : 0, is : 0.55, a : 0.71, high : 0, value : 0.45, horticultural : 0.41, commodity : 0.5, widely : 0, consumed : 0.43, for : 0, its : 0.49, nutritional : 0.32, content : 0.43, and : 0.49, vibrant : 0.52, variations : 0.53, in : 0, the : 0, agricultural : 0.48, industry : 0.42, classifying : 0.56, based : 0.56, on : 0, crucial : 0.36, ensuring : 0.49, product : 0, quality : 0.52, optimizing : 0.41, sorting : 0.51, processes : 0.42, this : 0.46, study : 0.45, developed : 0, an : 0.55, automated : 0.59, system : 0.54, three : 0, main : 0.6, mdash : 0.56, red : 0, green : 0.45, yellow : 0, cnn : 0, method : 0, dataset : 0.51, consisted : 0.48, 1 : 0, 820 : 0, images : 0.37, sourced : 0.43, from : 0.46, kaggle : 0.44, data : 0.6, split : 0.45, into : 0, 60 : 0, training : 0.49, 40 : 0, validation : 0.53, preprocessing : 0.41, steps : 0.45, included : 0, resizing : 0.49, normalizing : 0.48, pixel : 0, values : 0.44, to : 0, range : 0.45, augmentation : 0.64, techniques : 0.5, such : 0.46, as : 0.76, rotation : 0.49, flipping : 0.35, brightness : 0.33, adjustments : 0.66, enhance : 0.52, diversity : 0.5, reduce : 0, risk : 0.46, overfitting : 0.32, model : 0, was : 0.65, designed : 0.49, key : 0, layers : 0.44, including : 0.34, pooling : 0.36, fully : 0, connected : 0.42, optimized : 0.34, adam : 0.62, algorithm : 0.5, categorical : 0.49, cross : 0.45, entropy : 0, loss : 0.46, function : 0.51, results : 0.43, showed : 0.44, accuracy : 0.51, 99 : 0, 9 : 0, 92 : 0, testing : 0.51, average : 0.52, processing : 0.47, time : 0.46, 64 : 0, seconds : 0.52, per : 0, image : 0.4, maximum : 0.52, 78 : 0, demonstrating : 0.57, s : 0.71, efficiency : 0.33, real : 0.46, applications : 0.51, k : 0, fold : 0, technique : 0.5, also : 0.6, employed : 0.42, ensure : 0.44, generalization : 0.49, ability : 0.52, new : 0, demonstrated : 0.47, that : 0.46, effective : 0.42, offering : 0.35, accurate : 0.51, fast : 0.6, scalable : 0.49, solution : 0.49, automating : 0.67, grading : 0.51, sector : 0.44, reducing : 0.35, human : 0.57, errors : 0, improving : 0.48, operational : 0.46 |
| 8. kesehatan | 157 words | 0.73 | classification : 0.5, of : 0, capsicum : 0.41, varieties : 0.48, using : 0.44, color : 0, analysis : 0.32, with : 0.45, convolutional : 0.41, neural : 0.52, network : 0.42, paprika : 0.42, annuum : 0, l : 0, is : 0.54, a : 0, high : 0.45, value : 0.44, horticultural : 0.52, commodity : 0.41, widely : 0.43, consumed : 0.49, for : 0, its : 0.48, nutritional : 0.37, content : 0.48, and : 0, vibrant : 0.48, variations : 0.53, in : 0, the : 0.46, agricultural : 0.53, industry : 0.49, classifying : 0.42, based : 0.37, on : 0, crucial : 0.42, ensuring : 0.57, product : 0.42, quality : 0.5, optimizing : 0.47, sorting : 0.59, processes : 0.48, this : 0.41, study : 0.44, developed : 0.48, an : 0, automated : 0.48, system : 0.44, three : 0.53, main : 0, mdash : 0.48, red : 0.48, green : 0.54, yellow : 0.43, cnn : 0, method : 0.52, dataset : 0.55, consisted : 0.48, 1 : 0, 820 : 0, images : 0.44, sourced : 0.5, from : 0, kaggle : 0.57, data : 0.45, split : 0.54, into : 0, 60 : 0, training : 0.49, 40 : 0, validation : 0.53, preprocessing : 0.52, steps : 0.37, included : 0.41, resizing : 0.57, normalizing : 0.47, pixel : 0.44, values : 0.52, to : 0, range : 0.44, augmentation : 0.49, techniques : 0.54, such : 0.57, as : 0.54, rotation : 0.57, flipping : 0.41, brightness : 0.45, adjustments : 0.52, enhance : 0.55, diversity : 0.56, reduce : 0.52, risk : 0.41, overfitting : 0.54, model : 0.44, was : 0.48, designed : 0.56, key : 0.7, layers : 0.52, including : 0.41, pooling : 0.42, fully : 0, connected : 0.48, optimized : 0, adam : 0.45, algorithm : 0.31, categorical : 0.48, cross : 0.44, entropy : 0.42, loss : 0.45, function : 0.49, results : 0.59, showed : 0.44, accuracy : 0.41, 99 : 0, 9 : 0, 92 : 0, testing : 0.67, average : 0.48, processing : 0.54, time : 0.45, 64 : 0, seconds : 0.34, per : 0.48, image : 0.37, maximum : 0, 78 : 0, demonstrating : 0.55, s : 0.7, efficiency : 0.54, real : 0.57, applications : 0.51, k : 0.73, fold : 0, technique : 0.48, also : 0.45, employed : 0.49, ensure : 0.61, generalization : 0.59, ability : 0.42, new : 0.48, demonstrated : 0.56, that : 0.69, effective : 0.56, offering : 0.49, accurate : 0.49, fast : 0.57, scalable : 0.57, solution : 0.57, automating : 0.43, grading : 0.5, sector : 0.5, reducing : 0.49, human : 0.44, errors : 0.52, improving : 0.41, operational : 0.6 |
| 9. rekreasi | 157 words | 0.77 | classification : 0.53, of : 0, capsicum : 0.5, varieties : 0.63, using : 0, color : 0.44, analysis : 0.58, with : 0, convolutional : 0.4, neural : 0.51, network : 0.51, paprika : 0.57, annuum : 0, l : 0, is : 0, a : 0, high : 0, value : 0.44, horticultural : 0.47, commodity : 0.41, widely : 0.43, consumed : 0.33, for : 0.49, its : 0, nutritional : 0.44, content : 0.42, and : 0, vibrant : 0.51, variations : 0.47, in : 0, the : 0.49, agricultural : 0.43, industry : 0.33, classifying : 0.55, based : 0.44, on : 0, crucial : 0.49, ensuring : 0.58, product : 0.42, quality : 0.51, optimizing : 0.41, sorting : 0.51, processes : 0.56, this : 0.46, study : 0, developed : 0.49, an : 0, automated : 0.32, system : 0.43, three : 0.66, main : 0, mdash : 0.55, red : 0.71, green : 0.66, yellow : 0.43, cnn : 0, method : 0.43, dataset : 0.43, consisted : 0.4, 1 : 0, 820 : 0, images : 0.51, sourced : 0.51, from : 0.46, kaggle : 0.53, data : 0.46, split : 0, into : 0, 60 : 0, training : 0.58, 40 : 0, validation : 0.48, preprocessing : 0.74, steps : 0.55, included : 0.42, resizing : 0.67, normalizing : 0.55, pixel : 0.44, values : 0.53, to : 0, range : 0.6, augmentation : 0.43, techniques : 0.51, such : 0, as : 0, rotation : 0.63, flipping : 0.42, brightness : 0.56, adjustments : 0.31, enhance : 0.49, diversity : 0.65, reduce : 0.7, risk : 0.63, overfitting : 0.44, model : 0.44, was : 0, designed : 0.5, key : 0.47, layers : 0.63, including : 0.41, pooling : 0.42, fully : 0, connected : 0.49, optimized : 0.32, adam : 0.46, algorithm : 0.49, categorical : 0.5, cross : 0.55, entropy : 0.35, loss : 0.46, function : 0.42, results : 0.68, showed : 0.43, accuracy : 0.5, 99 : 0, 9 : 0, 92 : 0, testing : 0.51, average : 0.52, processing : 0.63, time : 0.46, 64 : 0, seconds : 0.51, per : 0.47, image : 0.38, maximum : 0, 78 : 0, demonstrating : 0.57, s : 0, efficiency : 0.45, real : 0.77, applications : 0.43, k : 0.71, fold : 0, technique : 0.49, also : 0, employed : 0.5, ensure : 0.63, generalization : 0.59, ability : 0.42, new : 0.49, demonstrated : 0.49, that : 0.46, effective : 0.57, offering : 0.58, accurate : 0.47, fast : 0, scalable : 0.33, solution : 0.42, automating : 0.48, grading : 0.6, sector : 0.53, reducing : 0.67, human : 0.44, errors : 0.64, improving : 0.49, operational : 0.54 |
| 10. universitas | 157 words | 0.8 | classification : 0.57, of : 0, capsicum : 0.31, varieties : 0.66, using : 0.56, color : 0.43, analysis : 0.54, with : 0.45, convolutional : 0.55, neural : 0.55, network : 0.57, paprika : 0.46, annuum : 0.34, l : 0, is : 0.53, a : 0, high : 0.45, value : 0.51, horticultural : 0.43, commodity : 0.47, widely : 0.51, consumed : 0.45, for : 0.47, its : 0.62, nutritional : 0.61, content : 0.57, and : 0.47, vibrant : 0.62, variations : 0.58, in : 0.56, the : 0.47, agricultural : 0.56, industry : 0.63, classifying : 0.4, based : 0.36, on : 0.53, crucial : 0.52, ensuring : 0.65, product : 0.46, quality : 0.57, optimizing : 0.46, sorting : 0.46, processes : 0.52, this : 0.56, study : 0.43, developed : 0.3, an : 0.53, automated : 0.52, system : 0.34, three : 0.36, main : 0.39, mdash : 0.43, red : 0.47, green : 0.51, yellow : 0.42, cnn : 0.47, method : 0.42, dataset : 0.46, consisted : 0.54, 1 : 0, 820 : 0, images : 0.59, sourced : 0.46, from : 0.45, kaggle : 0.42, data : 0, split : 0.53, into : 0.39, 60 : 0, training : 0.54, 40 : 0, validation : 0.52, preprocessing : 0.48, steps : 0.53, included : 0.54, resizing : 0.5, normalizing : 0.49, pixel : 0.53, values : 0.59, to : 0, range : 0.53, augmentation : 0.54, techniques : 0.46, such : 0.45, as : 0, rotation : 0.31, flipping : 0.48, brightness : 0.58, adjustments : 0.54, enhance : 0.32, diversity : 0.8, reduce : 0.34, risk : 0.56, overfitting : 0.53, model : 0.43, was : 0.47, designed : 0.45, key : 0.47, layers : 0.59, including : 0.52, pooling : 0.32, fully : 0.43, connected : 0.54, optimized : 0.42, adam : 0, algorithm : 0.42, categorical : 0.58, cross : 0.53, entropy : 0.46, loss : 0.45, function : 0.54, results : 0.62, showed : 0.42, accuracy : 0.55, 99 : 0, 9 : 0, 92 : 0, testing : 0.48, average : 0.57, processing : 0.52, time : 0.56, 64 : 0, seconds : 0.46, per : 0.62, image : 0.53, maximum : 0.41, 78 : 0, demonstrating : 0.56, s : 0, efficiency : 0.41, real : 0.45, applications : 0.49, k : 0, fold : 0, technique : 0.37, also : 0.45, employed : 0.41, ensure : 0.63, generalization : 0.59, ability : 0.57, new : 0.62, demonstrated : 0.54, that : 0, effective : 0.44, offering : 0.38, accurate : 0.59, fast : 0.45, scalable : 0.41, solution : 0.44, automating : 0.5, grading : 0.46, sector : 0.51, reducing : 0.38, human : 0.53, errors : 0.59, improving : 0.52, operational : 0.5 |
| 11. rokania | 157 words | 0.77 | classification : 0.55, of : 0.55, capsicum : 0.51, varieties : 0.48, using : 0.45, color : 0.45, analysis : 0.6, with : 0, convolutional : 0.63, neural : 0.44, network : 0, paprika : 0.62, annuum : 0.44, l : 0, is : 0, a : 0, high : 0, value : 0.45, horticultural : 0.54, commodity : 0.5, widely : 0, consumed : 0.51, for : 0.48, its : 0, nutritional : 0.56, content : 0.52, and : 0, vibrant : 0.52, variations : 0.57, in : 0, the : 0, agricultural : 0.55, industry : 0.42, classifying : 0.49, based : 0.45, on : 0.55, crucial : 0.51, ensuring : 0.51, product : 0.52, quality : 0.52, optimizing : 0.47, sorting : 0.55, processes : 0.5, this : 0, study : 0, developed : 0, an : 0, automated : 0.48, system : 0, three : 0.45, main : 0.6, mdash : 0.45, red : 0.54, green : 0.56, yellow : 0, cnn : 0.49, method : 0, dataset : 0.43, consisted : 0.59, 1 : 0, 820 : 0, images : 0.44, sourced : 0.43, from : 0.6, kaggle : 0.54, data : 0.46, split : 0.45, into : 0.46, 60 : 0, training : 0.61, 40 : 0, validation : 0.58, preprocessing : 0.55, steps : 0, included : 0.42, resizing : 0.54, normalizing : 0.62, pixel : 0, values : 0.44, to : 0.55, range : 0.71, augmentation : 0.55, techniques : 0.5, such : 0, as : 0, rotation : 0.77, flipping : 0.35, brightness : 0.47, adjustments : 0.49, enhance : 0.52, diversity : 0.42, reduce : 0.49, risk : 0.64, overfitting : 0.46, model : 0.45, was : 0.49, designed : 0.35, key : 0.49, layers : 0.44, including : 0.5, pooling : 0.51, fully : 0, connected : 0.5, optimized : 0.5, adam : 0.46, algorithm : 0.48, categorical : 0.56, cross : 0.56, entropy : 0, loss : 0.46, function : 0.51, results : 0.49, showed : 0.44, accuracy : 0.51, 99 : 0, 9 : 0, 92 : 0, testing : 0.36, average : 0.43, processing : 0.57, time : 0, 64 : 0, seconds : 0.52, per : 0.49, image : 0.45, maximum : 0.52, 78 : 0, demonstrating : 0.54, s : 0, efficiency : 0.33, real : 0.64, applications : 0.56, k : 0.71, fold : 0.46, technique : 0.5, also : 0.46, employed : 0.42, ensure : 0, generalization : 0.59, ability : 0.43, new : 0, demonstrated : 0.45, that : 0.46, effective : 0.42, offering : 0.49, accurate : 0.51, fast : 0.46, scalable : 0.51, solution : 0.49, automating : 0.6, grading : 0.63, sector : 0, reducing : 0.54, human : 0.56, errors : 0.54, improving : 0.59, operational : 0.69 |
| 12. semester | 157 words | 0.78 | classification : 0.53, of : 0, capsicum : 0.42, varieties : 0.57, using : 0.44, color : 0.44, analysis : 0.42, with : 0.46, convolutional : 0.4, neural : 0.43, network : 0.6, paprika : 0, annuum : 0.43, l : 0, is : 0.54, a : 0, high : 0, value : 0.44, horticultural : 0.3, commodity : 0.49, widely : 0.43, consumed : 0.58, for : 0, its : 0.49, nutritional : 0.48, content : 0.35, and : 0, vibrant : 0.42, variations : 0.41, in : 0, the : 0.49, agricultural : 0.31, industry : 0.58, classifying : 0.48, based : 0.55, on : 0, crucial : 0, ensuring : 0.47, product : 0.42, quality : 0.42, optimizing : 0.32, sorting : 0.56, processes : 0.57, this : 0.46, study : 0.5, developed : 0.57, an : 0, automated : 0.46, system : 0.72, three : 0.55, main : 0.46, mdash : 0.38, red : 0.49, green : 0.55, yellow : 0.43, cnn : 0, method : 0.51, dataset : 0.49, consisted : 0.65, 1 : 0, 820 : 0, images : 0.51, sourced : 0.56, from : 0.46, kaggle : 0.43, data : 0.46, split : 0.6, into : 0.46, 60 : 0, training : 0, 40 : 0, validation : 0.41, preprocessing : 0.48, steps : 0.69, included : 0.42, resizing : 0.33, normalizing : 0.41, pixel : 0.44, values : 0.53, to : 0, range : 0.44, augmentation : 0.43, techniques : 0.48, such : 0.51, as : 0.54, rotation : 0.42, flipping : 0, brightness : 0.39, adjustments : 0.5, enhance : 0.51, diversity : 0.52, reduce : 0.53, risk : 0.46, overfitting : 0.44, model : 0.38, was : 0.49, designed : 0.47, key : 0.49, layers : 0.51, including : 0, pooling : 0, fully : 0, connected : 0.57, optimized : 0.46, adam : 0.46, algorithm : 0.32, categorical : 0.44, cross : 0.55, entropy : 0.51, loss : 0.58, function : 0.42, results : 0.52, showed : 0.58, accuracy : 0.42, 99 : 0, 9 : 0, 92 : 0, testing : 0.49, average : 0.51, processing : 0.48, time : 0.42, 64 : 0, seconds : 0.68, per : 0.49, image : 0.38, maximum : 0.42, 78 : 0, demonstrating : 0.57, s : 0.74, efficiency : 0.48, real : 0.46, applications : 0.4, k : 0, fold : 0, technique : 0.49, also : 0.46, employed : 0.58, ensure : 0.56, generalization : 0.51, ability : 0.42, new : 0.49, demonstrated : 0.61, that : 0.46, effective : 0.65, offering : 0.5, accurate : 0.42, fast : 0.58, scalable : 0.55, solution : 0.55, automating : 0.32, grading : 0, sector : 0.78, reducing : 0.42, human : 0.44, errors : 0.51, improving : 0.41, operational : 0.44 |
| 13. pendek | 157 words | 0.73 | classification : 0, of : 0, capsicum : 0.43, varieties : 0.52, using : 0.46, color : 0, analysis : 0.43, with : 0, convolutional : 0.41, neural : 0.39, network : 0.53, paprika : 0.59, annuum : 0.44, l : 0, is : 0, a : 0, high : 0, value : 0.46, horticultural : 0, commodity : 0.43, widely : 0.39, consumed : 0.53, for : 0, its : 0, nutritional : 0.42, content : 0.54, and : 0.67, vibrant : 0, variations : 0, in : 0.56, the : 0.5, agricultural : 0, industry : 0.53, classifying : 0, based : 0.58, on : 0.56, crucial : 0, ensuring : 0.53, product : 0.59, quality : 0, optimizing : 0.42, sorting : 0, processes : 0.65, this : 0, study : 0.46, developed : 0.5, an : 0.56, automated : 0.43, system : 0.44, three : 0.58, main : 0.47, mdash : 0.46, red : 0.67, green : 0.59, yellow : 0.44, cnn : 0.5, method : 0.56, dataset : 0.44, consisted : 0.52, 1 : 0, 820 : 0, images : 0.44, sourced : 0.44, from : 0, kaggle : 0.44, data : 0, split : 0.46, into : 0.47, 60 : 0, training : 0.43, 40 : 0, validation : 0.42, preprocessing : 0.62, steps : 0.46, included : 0.63, resizing : 0.43, normalizing : 0.42, pixel : 0.62, values : 0.44, to : 0, range : 0.58, augmentation : 0.5, techniques : 0.6, such : 0, as : 0, rotation : 0, flipping : 0.43, brightness : 0.51, adjustments : 0.51, enhance : 0.64, diversity : 0.35, reduce : 0.67, risk : 0.47, overfitting : 0.42, model : 0.41, was : 0, designed : 0.6, key : 0.5, layers : 0.44, including : 0.52, pooling : 0.49, fully : 0, connected : 0.5, optimized : 0.52, adam : 0.47, algorithm : 0, categorical : 0.42, cross : 0, entropy : 0.54, loss : 0, function : 0.43, results : 0.44, showed : 0.39, accuracy : 0, 99 : 0, 9 : 0, 92 : 0, testing : 0.44, average : 0.54, processing : 0.56, time : 0.47, 64 : 0, seconds : 0.64, per : 0.73, image : 0.46, maximum : 0, 78 : 0, demonstrating : 0.41, s : 0, efficiency : 0.51, real : 0.47, applications : 0.42, k : 0, fold : 0.47, technique : 0.52, also : 0, employed : 0.51, ensure : 0.67, generalization : 0.57, ability : 0, new : 0.5, demonstrated : 0.42, that : 0, effective : 0.52, offering : 0.43, accurate : 0.43, fast : 0, scalable : 0.43, solution : 0, automating : 0, grading : 0.44, sector : 0.44, reducing : 0.53, human : 0.46, errors : 0.44, improving : 0.43, operational : 0.51 |
| 14. tahun | 157 words | 0.73 | classification : 0.42, of : 0, capsicum : 0.55, varieties : 0.44, using : 0.47, color : 0, analysis : 0.55, with : 0.48, convolutional : 0.35, neural : 0.46, network : 0.45, paprika : 0.45, annuum : 0.59, l : 0, is : 0, a : 0.73, high : 0.48, value : 0.6, horticultural : 0.5, commodity : 0, widely : 0, consumed : 0.38, for : 0, its : 0.51, nutritional : 0.51, content : 0.45, and : 0.51, vibrant : 0.45, variations : 0.53, in : 0, the : 0.72, agricultural : 0.52, industry : 0.38, classifying : 0.43, based : 0.47, on : 0, crucial : 0.45, ensuring : 0.38, product : 0.45, quality : 0.4, optimizing : 0.53, sorting : 0.45, processes : 0, this : 0.67, study : 0.6, developed : 0, an : 0.57, automated : 0.48, system : 0, three : 0.64, main : 0.63, mdash : 0.47, red : 0, green : 0.47, yellow : 0, cnn : 0, method : 0.58, dataset : 0.4, consisted : 0.44, 1 : 0, 820 : 0, images : 0.46, sourced : 0.45, from : 0, kaggle : 0.46, data : 0.48, split : 0, into : 0, 60 : 0, training : 0.69, 40 : 0, validation : 0.43, preprocessing : 0, steps : 0.47, included : 0.38, resizing : 0.44, normalizing : 0.36, pixel : 0, values : 0.58, to : 0.61, range : 0.47, augmentation : 0.62, techniques : 0.69, such : 0.48, as : 0.57, rotation : 0.66, flipping : 0.44, brightness : 0.53, adjustments : 0.62, enhance : 0.57, diversity : 0, reduce : 0.46, risk : 0, overfitting : 0, model : 0, was : 0.51, designed : 0.44, key : 0, layers : 0.46, including : 0.37, pooling : 0.45, fully : 0, connected : 0.44, optimized : 0.44, adam : 0.48, algorithm : 0.44, categorical : 0.36, cross : 0, entropy : 0.45, loss : 0, function : 0.55, results : 0.45, showed : 0.46, accuracy : 0.55, 99 : 0, 9 : 0, 92 : 0, testing : 0.61, average : 0.45, processing : 0.43, time : 0.54, 64 : 0, seconds : 0.45, per : 0, image : 0.47, maximum : 0.56, 78 : 0, demonstrating : 0.43, s : 0, efficiency : 0.43, real : 0.48, applications : 0.43, k : 0, fold : 0, technique : 0.68, also : 0.48, employed : 0, ensure : 0.46, generalization : 0.35, ability : 0.45, new : 0, demonstrated : 0.43, that : 0.71, effective : 0, offering : 0.44, accurate : 0.55, fast : 0.48, scalable : 0.44, solution : 0.55, automating : 0.61, grading : 0.56, sector : 0, reducing : 0.55, human : 0.47, errors : 0, improving : 0.44, operational : 0.53 |
| 15. akademik | 157 words | 0.78 | classification : 0.46, of : 0, capsicum : 0.47, varieties : 0.46, using : 0, color : 0, analysis : 0.63, with : 0, convolutional : 0.4, neural : 0.36, network : 0.51, paprika : 0.6, annuum : 0.58, l : 0, is : 0, a : 0.74, high : 0, value : 0.55, horticultural : 0.4, commodity : 0.46, widely : 0.53, consumed : 0.33, for : 0, its : 0, nutritional : 0.41, content : 0.42, and : 0.67, vibrant : 0.42, variations : 0.45, in : 0, the : 0.49, agricultural : 0.52, industry : 0.42, classifying : 0.48, based : 0.55, on : 0, crucial : 0.35, ensuring : 0.42, product : 0.42, quality : 0.51, optimizing : 0.32, sorting : 0.42, processes : 0.41, this : 0, study : 0.44, developed : 0.49, an : 0.59, automated : 0.57, system : 0.53, three : 0.44, main : 0.46, mdash : 0.38, red : 0.47, green : 0.44, yellow : 0.43, cnn : 0, method : 0.36, dataset : 0.61, consisted : 0.32, 1 : 0, 820 : 0, images : 0.53, sourced : 0.35, from : 0.46, kaggle : 0.51, data : 0.6, split : 0.44, into : 0, 60 : 0, training : 0.5, 40 : 0, validation : 0.55, preprocessing : 0.47, steps : 0.44, included : 0.5, resizing : 0.5, normalizing : 0.44, pixel : 0.44, values : 0.53, to : 0, range : 0.55, augmentation : 0.65, techniques : 0.48, such : 0, as : 0.59, rotation : 0.5, flipping : 0.42, brightness : 0.32, adjustments : 0.58, enhance : 0.51, diversity : 0.57, reduce : 0.36, risk : 0.46, overfitting : 0.48, model : 0.55, was : 0.49, designed : 0.58, key : 0.64, layers : 0.53, including : 0.49, pooling : 0.42, fully : 0, connected : 0.41, optimized : 0.46, adam : 0.78, algorithm : 0.51, categorical : 0.55, cross : 0, entropy : 0, loss : 0, function : 0.42, results : 0.42, showed : 0.36, accuracy : 0.55, 99 : 0, 9 : 0, 92 : 0, testing : 0.51, average : 0.54, processing : 0.48, time : 0.42, 64 : 0, seconds : 0.35, per : 0.49, image : 0.55, maximum : 0.49, 78 : 0, demonstrating : 0.6, s : 0, efficiency : 0.48, real : 0.42, applications : 0.49, k : 0.71, fold : 0.46, technique : 0.49, also : 0.51, employed : 0.42, ensure : 0.43, generalization : 0.42, ability : 0.56, new : 0.49, demonstrated : 0.54, that : 0.46, effective : 0.49, offering : 0.5, accurate : 0.63, fast : 0.46, scalable : 0.58, solution : 0.42, automating : 0.6, grading : 0.6, sector : 0.43, reducing : 0.47, human : 0.38, errors : 0, improving : 0.41, operational : 0.44 |
| 16. 2023 | 157 words | 0.72 | classification : 0, of : 0, capsicum : 0, varieties : 0, using : 0, color : 0, analysis : 0, with : 0, convolutional : 0, neural : 0, network : 0, paprika : 0, annuum : 0, l : 0, is : 0, a : 0, high : 0, value : 0, horticultural : 0, commodity : 0, widely : 0, consumed : 0, for : 0, its : 0, nutritional : 0, content : 0, and : 0, vibrant : 0, variations : 0, in : 0, the : 0, agricultural : 0, industry : 0, classifying : 0, based : 0, on : 0, crucial : 0, ensuring : 0, product : 0, quality : 0, optimizing : 0, sorting : 0, processes : 0, this : 0, study : 0, developed : 0, an : 0, automated : 0, system : 0, three : 0, main : 0, mdash : 0, red : 0, green : 0, yellow : 0, cnn : 0, method : 0, dataset : 0, consisted : 0, 1 : 0, 820 : 0.72, images : 0, sourced : 0, from : 0, kaggle : 0, data : 0, split : 0, into : 0, 60 : 0.58, training : 0, 40 : 0.58, validation : 0, preprocessing : 0, steps : 0, included : 0, resizing : 0, normalizing : 0, pixel : 0, values : 0, to : 0, range : 0, augmentation : 0, techniques : 0, such : 0, as : 0, rotation : 0, flipping : 0, brightness : 0, adjustments : 0, enhance : 0, diversity : 0, reduce : 0, risk : 0, overfitting : 0, model : 0, was : 0, designed : 0, key : 0, layers : 0, including : 0, pooling : 0, fully : 0, connected : 0, optimized : 0, adam : 0, algorithm : 0, categorical : 0, cross : 0, entropy : 0, loss : 0, function : 0, results : 0, showed : 0, accuracy : 0, 99 : 0, 9 : 0, 92 : 0.58, testing : 0, average : 0, processing : 0, time : 0, 64 : 0, seconds : 0, per : 0, image : 0, maximum : 0, 78 : 0, demonstrating : 0, s : 0, efficiency : 0, real : 0, applications : 0, k : 0, fold : 0, technique : 0, also : 0, employed : 0, ensure : 0, generalization : 0, ability : 0, new : 0, demonstrated : 0, that : 0, effective : 0, offering : 0, accurate : 0, fast : 0, scalable : 0, solution : 0, automating : 0, grading : 0, sector : 0, reducing : 0, human : 0, errors : 0, improving : 0, operational : 0 |
| 17. 2024 | 157 words | 0.72 | classification : 0, of : 0, capsicum : 0, varieties : 0, using : 0, color : 0, analysis : 0, with : 0, convolutional : 0, neural : 0, network : 0, paprika : 0, annuum : 0, l : 0, is : 0, a : 0, high : 0, value : 0, horticultural : 0, commodity : 0, widely : 0, consumed : 0, for : 0, its : 0, nutritional : 0, content : 0, and : 0, vibrant : 0, variations : 0, in : 0, the : 0, agricultural : 0, industry : 0, classifying : 0, based : 0, on : 0, crucial : 0, ensuring : 0, product : 0, quality : 0, optimizing : 0, sorting : 0, processes : 0, this : 0, study : 0, developed : 0, an : 0, automated : 0, system : 0, three : 0, main : 0, mdash : 0, red : 0, green : 0, yellow : 0, cnn : 0, method : 0, dataset : 0, consisted : 0, 1 : 0, 820 : 0.72, images : 0, sourced : 0, from : 0, kaggle : 0, data : 0, split : 0, into : 0, 60 : 0.58, training : 0, 40 : 0.58, validation : 0, preprocessing : 0, steps : 0, included : 0, resizing : 0, normalizing : 0, pixel : 0, values : 0, to : 0, range : 0, augmentation : 0, techniques : 0, such : 0, as : 0, rotation : 0, flipping : 0, brightness : 0, adjustments : 0, enhance : 0, diversity : 0, reduce : 0, risk : 0, overfitting : 0, model : 0, was : 0, designed : 0, key : 0, layers : 0, including : 0, pooling : 0, fully : 0, connected : 0, optimized : 0, adam : 0, algorithm : 0, categorical : 0, cross : 0, entropy : 0, loss : 0, function : 0, results : 0, showed : 0, accuracy : 0, 99 : 0, 9 : 0, 92 : 0.58, testing : 0, average : 0, processing : 0, time : 0, 64 : 0, seconds : 0, per : 0, image : 0, maximum : 0, 78 : 0, demonstrating : 0, s : 0, efficiency : 0, real : 0, applications : 0, k : 0, fold : 0, technique : 0, also : 0, employed : 0, ensure : 0, generalization : 0, ability : 0, new : 0, demonstrated : 0, that : 0, effective : 0, offering : 0, accurate : 0, fast : 0, scalable : 0, solution : 0, automating : 0, grading : 0, sector : 0, reducing : 0, human : 0, errors : 0, improving : 0, operational : 0 |
| 18. subtitlestatus | 157 words | 0.73 | classification : 0.45, of : 0, capsicum : 0.42, varieties : 0.45, using : 0.49, color : 0.42, analysis : 0.47, with : 0.38, convolutional : 0.45, neural : 0.48, network : 0.31, paprika : 0.48, annuum : 0.41, l : 0.69, is : 0.55, a : 0, high : 0.44, value : 0.49, horticultural : 0.51, commodity : 0.29, widely : 0.46, consumed : 0.53, for : 0, its : 0.63, nutritional : 0.6, content : 0.44, and : 0, vibrant : 0.45, variations : 0.4, in : 0.52, the : 0.6, agricultural : 0.48, industry : 0.47, classifying : 0.38, based : 0.49, on : 0, crucial : 0.54, ensuring : 0.53, product : 0.48, quality : 0.54, optimizing : 0.45, sorting : 0.59, processes : 0.49, this : 0.49, study : 0.54, developed : 0.29, an : 0, automated : 0.54, system : 0.57, three : 0.51, main : 0.44, mdash : 0.42, red : 0.47, green : 0.42, yellow : 0.33, cnn : 0, method : 0.33, dataset : 0.45, consisted : 0.5, 1 : 0, 820 : 0, images : 0.4, sourced : 0.59, from : 0, kaggle : 0.49, data : 0.44, split : 0.65, into : 0.38, 60 : 0, training : 0.46, 40 : 0, validation : 0.44, preprocessing : 0.41, steps : 0.73, included : 0.47, resizing : 0.36, normalizing : 0.38, pixel : 0.49, values : 0.53, to : 0.52, range : 0.42, augmentation : 0.5, techniques : 0.52, such : 0.64, as : 0.52, rotation : 0.42, flipping : 0.3, brightness : 0.62, adjustments : 0.55, enhance : 0.4, diversity : 0.41, reduce : 0.33, risk : 0.38, overfitting : 0.47, model : 0.35, was : 0.47, designed : 0.36, key : 0.47, layers : 0.4, including : 0.35, pooling : 0.31, fully : 0.51, connected : 0.29, optimized : 0.52, adam : 0, algorithm : 0.4, categorical : 0.47, cross : 0.51, entropy : 0.4, loss : 0.54, function : 0.53, results : 0.65, showed : 0.54, accuracy : 0.46, 99 : 0, 9 : 0, 92 : 0, testing : 0.56, average : 0.48, processing : 0.4, time : 0.65, 64 : 0, seconds : 0.59, per : 0.47, image : 0.51, maximum : 0.31, 78 : 0, demonstrating : 0.46, s : 0.72, efficiency : 0.45, real : 0.38, applications : 0.46, k : 0, fold : 0.44, technique : 0.45, also : 0.38, employed : 0.46, ensure : 0.57, generalization : 0.44, ability : 0.49, new : 0.47, demonstrated : 0.46, that : 0.55, effective : 0.35, offering : 0.3, accurate : 0.47, fast : 0.55, scalable : 0.57, solution : 0.57, automating : 0.55, grading : 0.4, sector : 0.51, reducing : 0.36, human : 0.42, errors : 0.41, improving : 0.39, operational : 0.44 |
Average Result
75.6%
0.75599780877559