Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Huzain Azis"'
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 16, Iss 1, Pp 87-99 (2024)
This research aims to classify the nominal value of Rupiah banknotes using image processing and classification methods. The research design was conducted by collecting a dataset of Rupiah banknotes consisting of 30 classes, each with 100 images. This
Externí odkaz:
https://doaj.org/article/cd843eaaac56460cacc5a23d51e6d650
Publikováno v:
Indonesian Journal of Data and Science, Vol 5, Iss 2 (2024)
Machine learning is an approach in computer science where systems or models can learn from data and experience to improve performance or perform specific tasks. There are several popular machine learning algorithms, such as naïve bayes, decision tre
Externí odkaz:
https://doaj.org/article/b99eb6d45313444ba12b3e6d07e443bd
Publikováno v:
Techno.Com, Vol 23, Iss 1, Pp 284-293 (2024)
Penggunaan kartu magnetic stripe pada wahana permainan rentan terhadap akses yang tidak sah, seperti skimming, yang dapat merugikan pengelola dan penyedia wahana. Penetration testing merupakan metode yang dapat digunakan untuk mengidentifikasi dan ek
Externí odkaz:
https://doaj.org/article/8bae9645dd884b80942f09f18bc7787a
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 15, Iss 2, Pp 390-397 (2023)
Support Vector Regression (SVR) is a supervised learning algorithm to predict continuous variable values. The basic goal of the SVR algorithm is to find the most suitable decision line. SVR has been successfully applied to several issues in time seri
Externí odkaz:
https://doaj.org/article/1e71a2d154b64c93aae5b1c79a82bab0
Publikováno v:
Indonesian Journal of Data and Science, Vol 4, Iss 1 (2023)
GRDS menghadapi kelangkaan dana, ketika diperlukan untuk merawat para korban Gaja. Gaja adalah topan bernama kelima dari musim siklon Samudra Hindia Utara 2018 yang mempengaruhi sebagian besar tempat di Tamil Nadu, India selama bulan November 2018. T
Externí odkaz:
https://doaj.org/article/21e4840275f1448d8c965a7fa9646d73
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 14, Iss 1, Pp 25-31 (2022)
Strawberry is one type of fruit that is favored by the people of Indonesia. The detection process to identify strawberries can be done by utilizing advances in computer technology, One of them is in the field of digital image processing. In this stud
Externí odkaz:
https://doaj.org/article/dab7f56fb6c345688c5879fd7179995a
Publikováno v:
Indonesian Journal of Data and Science, Vol 3, Iss 3 (2022)
Dinas Perhubungan Kota Kendari menjadi salah satu kota yang telah menerapkan teknologi ATCS. Proses pemantau dilakukan menggunakan CCTV melalui jaringan internet yang dipantau secara real time melalui ruang kontrol Dinas Perhubungan Kota Kendari. Pen
Externí odkaz:
https://doaj.org/article/f98276d8192440d6ab294719e99443a5
Publikováno v:
Indonesian Journal of Data and Science, Vol 3, Iss 3 (2022)
Berdasarkan penelitian yang dilakukan oleh Herman dkk., peneliti mencoba mengangkat kembali metode yang diterapkan dengan menggunakan dataset yang berbeda dan dengan jumlah yang lebih banyak. Penelitian ini bertujuan untuk menghitung performa metode
Externí odkaz:
https://doaj.org/article/c013beec651844aa85042d9a3bca5aaf
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 13, Iss 2, Pp 148-154 (2021)
The learning process has a correlation with learning achievement which can be shown through the marks given by a teacher to students from several fields of study. The ranking of student learning achievements performed by the school refers to the grad
Externí odkaz:
https://doaj.org/article/ca5fd51b7e064b609d0bf5fbae15bb18
Autor:
Purnawansyah Purnawansyah, Haviluddin Haviluddin, Herdianti Darwis, Huzain Azis, Yulita Salim
Publikováno v:
Knowledge Engineering and Data Science, Vol 4, Iss 1, Pp 14-28 (2021)
Predicting network traffic is crucial for preventing congestion and gaining superior quality of network services. This research aims to use backpropagation to predict the inbound level to understand and determine internet usage. The architecture cons
Externí odkaz:
https://doaj.org/article/9bbe124e993449a9b305b69f6174e302