Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Swat Lie Liliawati"'
Publikováno v:
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 10, Iss 2, Pp 379 – 390-379 – 390 (2024)
Penelitian ini dilakukan dengan mengaplikasikan metode Neural Style Transfer pada berbagai set gambar konten dan gaya, kemudian menghitung nilai FSIM untuk setiap pasangan gambar hasil dan gambar asli. Analisa dilakukan terhadap faktor-faktor seperti
Externí odkaz:
https://doaj.org/article/ceb8e9e8f2334bca9cb214a679a1c80d
Publikováno v:
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 9, Iss 1, Pp 110 – 126-110 – 126 (2023)
Penjualan merupakan komponen terpenting dalam suatu perusahaan bidang industri. Hal ini dikarenakan, bila terjadi penjualan berarti terdapat pendapatan ke dalam perusahaan, oleh karena itu penting untuk dilakukan analisis terhadap produk-produk yang
Externí odkaz:
https://doaj.org/article/7c6177e4015e4ac8a7ccca2948fff708
Publikováno v:
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 7, Iss 1 (2021)
Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value
Externí odkaz:
https://doaj.org/article/385a627ca15e4da9a09a58f4d3e9e99c
Publikováno v:
Jurnal Teknik Informatika dan Sistem Informasi. 8
In this research, an analysis of Wi-Fi products was carried out using Risk Framework, Information Technology (IT) Domain Risk Response, and decision tree method to determine decision making at the Telecommunication companies which occurs from January
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::133c9d935b6fb9bbf968c8f7e653944a
https://doi.org/10.28932/jutisi.v8i1.4491
https://doi.org/10.28932/jutisi.v8i1.4491
Publikováno v:
Jurnal Teknik Informatika dan Sistem Informasi. 7
Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b8b5f22743f2a0ed91e81cefd3189f5
https://doi.org/10.28932/jutisi.v7i1.3036
https://doi.org/10.28932/jutisi.v7i1.3036