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All Journal Syntax Jurnal Informatika Jurnal Informatika Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Informatika Universitas Pamulang Jurnal Nasional Komputasi dan Teknologi Informasi Zonasi: Jurnal Sistem Informasi JUKI : Jurnal Komputer dan Informatika
Suwanto Sanjaya
Universitas Islam Negeri Sultan Syarif Kasim Riau
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

 1 
K-Nearest Neighbor for Classification of Tomato Maturity Level Based on Hue, Saturation, and Value Colors Suwanto Sanjaya; Morina Lisa Pura; Siska Kurnia Gusti; Febi Yanto; Fadhilah Syafria
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 2 (2019): September 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.888 KB) | DOI: 10.24014/ijaidm.v2i2.7975

Abstract

The selection of tomatoes can use several indicators. One of the indicators is the fruit color. In digital image processing, one of the color information that could be used in Hue, Saturation, and Value (HSV). In this research, HSV is proposed as a color model feature for information on the ripeness of tomatoes. The total data of tomato images used in this research were 400 images from four sides. The maturity level of tomatoes uses five levels, namely green, turning, pink, light red, and red. The process of divide data uses K-Fold Cross Validation with ten folds. The method used for classification is k-Nearest Neighbor (kNN). The scenario of the test performed is to combine the image size with the parameter value of the neighbor (k). The image sizes tested are 100x100 pixels, 300x300 pixels, 600x600 pixels and 1000x1000 pixels. The “k” values tested were 1, 3, 5, 7, 9, 11, and 13. The highest accuracy reached 92.5% in the image size 1000x1000 pixels with a parameter “k” is 3. The result of the experiment showed that the image size has a significant influence of accuracy, but the parameter value of neighbor (k) has an influence that is not too significant.
Local Binary Pattern and Learning Vector Quantization for Classification of Principal Line of Palm-Hand Suwanto Sanjaya; Ulfah Adzkia; Lestari Handayani; Febi Yanto
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 2 (2020): Spetember 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i2.10236

Abstract

Biometrics such as DNA, face, fingerprints, and iris still had disadvantages. The principal line of palm-hand biometric was expected to cover the weakness of the other biometric. This research was used dataset amounted to 150 images of palms-hand of the left-hand side. The dataset sourced 15 people who captured 10 times. The cropping technique that has used is the Region of Interest (ROI). Local Binary Pattern (LBP) was used to feature extraction. The feature extraction consists of the five parameters statistical. They were mean, variance, skewness, kurtosis, and entropy. Learning Vector Quantization (LVQ) was used to train the weight to produce optimal weight. The Confusion matrix method was used to evaluate the accuracy of the classification. The experiment was used the learning rates 0.01; 0.05; 0.1; 0.5; and 0.7. Based on testing and the experimental results, the highest accuracy obtained was on the learning rate value 0.5 which achieve 80%. In future work, we can explore with added the second-order statistics feature for better result.
Co-Authors Abdussalam Al Masykur Ahmad Paisal Alwis Nazir Ariq At-Thariq Putra Deny Ardianto Desy Putri Ayuni Elvia Budianita Fadhilah Syafria Febi Yanto Felian Nabila Iis Afrianty Iwan Iskandar Jasril Jasril Jasril Karina Julita Lestari Handayani Morina Lisa Pura Muhammad Affandes Muhammad Irsyad Puspa Melani Almahmuda Reski Mai Candra Riska Yuliana Sarah Lasniari Siska Kurnia Gusti Ulfah Adzkia