Výsledky vyhledávání - "Abdurahman Baizal"

Akademický článek

E-commerce Recommender System Using PCA and K-Means Clustering

Autor: Dendy Andra, Abdurahman Baizal baizal

Publikováno v: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 6, Iss 1, Pp 57-63 (2022)

Recently, recommender system has an important role in e-commerce to market products for users. One of recommender system approach that used in e-commerce is Collaborative Filtering. This system works by providing product recommendations based on prod

Externí odkaz: https://doaj.org/article/1481990fd8dd4c07adb517bd36f1f130

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Akademický článek

PERPADUAN COMBINED SAMPLING DAN ENSEMBLE OF SUPPORT VECTOR MACHINE (ENSVM) UNTUK MENANGANI KASUS CHURN PREDICTION PERUSAHAAN TELEKOMUNIKASI

Autor: Fernandy Marbun, Abdurahman Baizal, Moch Arif Bijaksana

Publikováno v: JUTI: Jurnal Ilmiah Teknologi Informasi, Vol 8, Iss 2, Pp 43-48 (2010)

Churn prediction adalah suatu cara untuk memprediksi pelanggan yang berpotensial untuk churn. Data mining khususnya klasifikasi tampaknya dapat menjadi alternatif solusi dalam membuat model churn prediction yang akurat. Namun hasil klasifikasi menjad

Externí odkaz: https://doaj.org/article/e806661f72084e0c8208e1e3c86b3ecc

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Akademický článek

PENGGUNAAN TEKNIK FEATURE WEIGHTING UNTUK PEMBERSIHAN NOISE PADA HALAMAN SITUS BERITA BERBAHASA INDONESIA

Autor: Rahmat Firdaus, Abdurahman Baizal, Yanuar Firdaus A

Publikováno v: JUTI: Jurnal Ilmiah Teknologi Informasi, Vol 8, Iss 1, Pp 19-26 (2010)

A web page usually consists of information in every page blocks displayed. In some cases, news content displayed in a news website are not entirely relevant or are unrelated to the main content such as navigation panel, copyright, user guide, links,

Externí odkaz: https://doaj.org/article/e8478d07393a48299a18d65c2fc53286

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QUESTION ANSWERING FOR SUMEDANG LARANG KINGDOM USING THE MULTILAYER PERCEPTRON ALGORITHM

Autor: Arifa Nur Hasanah, Abdurahman Baizal, Ramanti Dharayani

Publikováno v: JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 7:1149-1157

In Indonesia, there were many kingdoms in the past, one of which was the Sumedang Larang Kingdom. Sumedang Larang is an Islamic kingdom under the control of the Pajajaran Kingdom. Through history, a nation will be able to recognize the origin of its

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b67706a45410e5e0bc6297f6e5f2a38
https://doi.org/10.29100/jipi.v7i4.3206

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Chatbot-based Culinary Tourism Recommender System Using Named Entity Recognition

Autor: Adri Nur Fajari, Abdurahman Baizal

Publikováno v: JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 7:1131-1138

Over the time, culinary tourism in several cities of Indonesia is growing rapidly, one example is culinary tourism in Bandung city. This makes it difficult for tourists to decide their choice. To overcome these problems, a recommendation system is ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f27b868d75cce3ea4c9acc61da232368
https://doi.org/10.29100/jipi.v7i4.3210

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CHATBOT FOR KNOWLEDGE – BASED MUSEUM RECOMMENDER SYSTEM (CASE STUDY: MUSEUM IN JAKARTA)

Autor: M. Rayhan Hakim, Abdurahman Baizal

Publikováno v: JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 7:364-373

Sistem pemberi rekomendasi yang umum digunakan untuk merekomendasi museum adalah content-based filtering dan collaborative filtering. Tetapi, sistem pemberi rekomendasi tersebut mengalami permasalahan seperti cold start dan data sparsity, karena bebe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6cc479da2c9d76155a4c0d1ac02aeba5
https://doi.org/10.29100/jipi.v7i2.2738

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HYBRID RECOMMENDER SYSTEM USING SINGULAR VALUE DECOMPOSITION AND SUPPORT VECTOR MACHINE IN BALI TOURISM

Autor: Aryadi Pramarta, Abdurahman Baizal

Publikováno v: JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 7:408-418

When going to make a visit to a tourist area, tourists must determine the place they want to visit. Meanwhile, the desired place has several categories and types. The many types of tourist attractions make tourists confused in determining their choic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27540a99c563f9eba32c51f8c5b641d9
https://doi.org/10.29100/jipi.v7i2.2770

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E-commerce Recommender System Using PCA and K-Means Clustering

Autor: Andra, Dendy, baizal, Abdurahman Baizal

Publikováno v: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 6 No 1 (2022): Februari 2022; 57-63

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7daf203a5b8505840d81721fb056a5e3
https://doi.org/10.29207/resti.v6i1.3782

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Movie recommender chatbot based on Dialogflow

Autor: Zinke Abdurahman Baizal, Nurul Ikhsan, Ichwanul Muslim Karo Karo, Reinaldo Kenneth Darmawan, Roby Dwi Hartanto

Currently, the online movie streaming business is growing rapidly, such as Netflix, Disney+, Amazon Prime Video, HBO, and Apple TV. The recommender system helps customers in getting information about movies that are in accordance with their wishes. M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd84e165d16f1dec940d9da5498406a6
https://zenodo.org/record/7456202

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