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Menampilkan 1–4 dari 4 artikel
Sentiment Analysis Of Fiverr Application Reviews Using TF-IDF Feature
Wahyu Utami, Yustina Retno
; Farisi, Salman Al
Jurnal Ilmiah Sinus
Vol 23
, No 1
(2025)
Most people are interested in being a freelancer. This happens because of the rapid development of technology, making it easier for people to move and providing many choices in determining the type of work. One of the most popular freelance apps is the Fiverr App. The Fiverr application has received many reviews from its users, both positive, negative, and neutral. This study aims to obtain the results of sentiment classification analysis of Fiverr Application user ratings on Google Play sites u...
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PEMROGRAMAN BERORIENTASI OBJEK MENGGUNAKAN VB.NET
Wahyu Utami, Yustina Retno
Jurnal Ilmiah Sinus
Vol 4
, No 1
(2013)
Pemrograman berorientasi objek sangat penting dalam membangun aplikasi yang kompleks. Beberapa teknik pemrograman berorientasi objek tidak dimiliki oleh VB versi sebelumnya. Untuk menggunakan VB.NET secara efektif, perlu dipahami konsep orientasi objek yakni Class-Object, Encapsulation, Polimorfisme, dan Inheritance. Kata kunci: orientas objek, class, objek, inheritane, encapsulation, polimorfisme
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Reversible Watermarking Dengan Kemampuan Koreksi Error
Wahyu Utami, Yustina Retno
Jurnal Ilmiah Sinus
Vol 8
, No 1
(2012)
Reversible watermarking with histogram shift on difference image produce thin distortion of image and large capacity. This research adds error correction capability in Lees method. Experimental results demonstrate that the average PSNR value > 49 dB. Watermarked image with 100 x 100 pixel salt n pepper noise on the density of 0.05 is obtained that the watermark with ECC is more robust than a watermark without ECC. JPEG compression in lossless mode may be applied to the watermarked image.Keyword:...
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K-Means Clustering Untuk Pengenalan Buah Berdasarkan Karakteristik Warna Citra
Wahyu Utami, Yustina Retno
Jurnal Ilmiah Sinus
Vol 9
, No 2
(2011)
Research on pattern recognition in images has been developed. Objects can be recognized by color, texture, or shape. This study took four types of fruit as its object of apple, pear, bark, and orange. Feature extraction image taken based on the color characteristics of objects in the image of Hue Saturation Value. Characteristic images obtained were classified using k-means clustering. This experiment using 20 data has resulted in 70% accuracy. Keyword: feature extraction, Hue Saturation Value,...
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