Items where Author is "Hanafi, Hanafi"

Book

Hanafi, Hanafi (2022) DASAR CYBER SECURITY DAN FORENSIC. Deepublish.

Hanafi, Hanafi (2022) DASAR (di) CYBER SECURITY DAN FORENSIC. Deepublish Publisher.

Hanafi, Hanafi (2021) DASAR-DASAR FINTECH: FINANCIAL TECHNOLOGY. Aswaja Pressindo.

Hanafi, Hanafi (2021) DASAR-DASAR (di) FINTECH: FINANCIAL TECHNOLOGY. Aswaja Pressindo.

Research

Hanafi, Hanafi and Suryana, Nanna and Bashari, Abdul Samad Bin Hasan (2022) Addressing Sparsity Data and Cold Start Problem on Collaborative Filtering Recommender System for ECommerce: A Review. [Research]

Hanafi, Hanafi and Suryana, N and Basari, A S H (2022) Deep Contextual of Document Using Deep LSTM Meet Matrix Factorization to Handle Sparse Data: Proposed Model. [Research]

Hanafi, Hanafi and Herman, Nanna Suryana and Basari, Abdul Samad Hasan (2022) Exploit Multi Layer Deep Learning and Latent Factor to Handle Sparse Data for Ecommerce Recommender System. [Research]

Hanafi, Hanafi and Suryana, N and Basari, A S H (2022) Generate Contextual Insight of Product Review Using Deep LSTM and Word Embedding. [Research]

Adha, Muh and Utami, Ema and Hanafi, Hanafi (2022) PREDIKSI PRODUKSI JAGUNG MENGGUNAKAN ALGORITMA APRIORI DAN REGRESI LINEAR BERGANDA (STUDI KASUS: DINAS PERTANIAN KABUPATEN DOMPU). [Research]

Hanafi, Hanafi (2022) LEMBAR HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH: Hak CIPTA (Aplikasi Electronis Office (E-Office)). [Research]

Hanafi, Hanafi and Suryana, Nanna and Basari, Abdul Samad Hasan (2022) Dynamic convolutional neural network for eliminating item sparse data on recommender system. [Research]

Hanafi, Hanafi and Widyawati, R and Widowati, A S (2022) Effect of service quality and online servicescape toward customer satisfaction and loyalty mediated by perceived value. [Research]

Hanafi, Hanafi (2022) LEMBAR HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH: Hak CIPTA (Epajak Daerah). [Research]

Hanafi, Hanafi (2022) Handling Sparse Rating Matrix for E-commerce Recpmmender System Using Hybrid Deep Learning Based on LSTM, SDAE and Latent Factor. [Research]

Hanafi, Hanafi (2022) An Intrusion Detection System Using SDAE to Enhance Dimensional Reduction in Machine Learning. [Research]

Hanafi, Hanafi (2022) Enhance Rating Prediction for E-commerce Recommender System using Hybridization SDAE, Attention Mechanism and Matrix Factorization. [Research]

Hanafi, Hanafi (2022) Enhance Rating Prediction for E-commerce Recommender System using Hybridization SDAE, Attention Mechanism and Matrix Factorization. [Research]

Hanafi, Hanafi (2022) Enhance Document Contextual using Attention-LSTM to Handle Sparse Rating Matrix For E-Commerce Recommender System. [Research]

Hanafi, Hanafi (2022) An Intrusion Detection System Using SDAE to Enhance Dimensional Reduction in Machine Learning. [Research]

Sunyoto, Andi and Hanafi, Hanafi (2022) Enhance Intrusion Detection (IDS) System Using Deep SDAE to Increase Effectiveness of Dimensional Reduction in Machine Learning and Deep Learning. [Research] (Submitted)

Hanafi, Hanafi (2022) Review Form - An Intrusion Detection System using Deep SDAE to Enhance Dimensional Reduction in Machine Learning. [Research]

Hanafi, Hanafi (2021) Word Sequential Using Deep LSTM and Matrix Factorization to Handle Rating Sparse Data for E-Commerce Recommender System. [Research]

Hanafi, Hanafi (2021) Enhance Document Contextual using Attention-LSTM to Handle Sparse Rating Matrix For E-Commerce Recommender System. [Research]

Hanafi, Hanafi (2021) [IJAIN] Editor Decision for Paper entitled (CAE-COVIDX: Automatic Covid-19 Disease Detection Based on X-Ray Images Using Enhanced Deep Convolutional and Auto Encoder). [Research]

Hanafi, Hanafi (2020) Effect of Service Quality and Online Servicescape Toward Customer Satisfaction and Loyalty Mediated by Perceived Value. [Research]

Hanafi, Hanafi (2020) Generate Contextual Insight of Product Review Using Deep LSTM and Word Embedding. [Research]

Hanafi, Hanafi (2019) Convolutional-NN and Word Embedding For Making An Effictive Product Recontmendation Based On Enhancement Understanding Of A Product Review. [Research]

Hanafi, Hanafi (2019) Exploit Multi Layer Deep Learning And Latent Factor To Handle Sparse Data for E-Commerce Recommender System. [Research]

Hanafi, Hanafi (2019) Involve Convolutionat-NN to Generate ltem Latent Factor Consider Product Genre to Increase Robustness in Product Sparse Data for E-commerce Recommendation. [Research]

Hanafi, Hanafi (2018) Recommender systems based on tensor Candecomp parafact algorithm- ALS to handle sparse data infood commerce information services. [Research]

Hanafi, Hanafi (2018) [IJAIN] Editor Decision. [Research]

Hanafi, Hanafi (2018) Hybridization Approach to Eliminate sparse Data Based on Nonnegative Matrix Factorization & Deep Learning. [Research]

Hanafi, Hanafi (2018) An Understanding Approach Solution for Cold Start Problem Associated with Recommender System: A Literature Review. [Research]

Hanafi, Hanafi (2018) Deep Learning for Recommender System Based on Application Domain Classification P erspective : A Review. [Research]

Hanafi, Hanafi (2018) Dynamic Convolutional Neural Network For Eliminating Item Sparse Data On Recommender System. [Research]

Hanafi, Hanafi (2018) Increase Robustness SDAE With Imputing Missing Value to Eliminate User's Sparse Data In Case E-Commerce Recommender System. [Research]

Hanafi, Hanafi (2017) Paper Survey and Example Of Collctborative Filtering Implementation In Recommender System. [Research]

Hanafi, Hanafi (2017) Evaluation of e-Service Quality, Perceived Value on Customer Satisfaction and Customer Loyality : A Study in Indonesia. [Research]

Hanafi, Hanafi (2015) CAE-COVIDX: Automatic Covid-l9 Disease Detection Based on X-Ray Images Using Enhanced Deep Convolutional and Autoencoder. [Research]

Other

Hanafi, Hanafi (2021) Manuscript submitted to Computational Intelligence and Neuroscience. Universitas Amikom Yogyakarta.

Hanafi, Hanafi Review Form: Enhance Rating Prediction for E-commerce Recommender System using Hybridization SDAE, Attention Mechanism and Probabilistic Matrix Factorization. Universitas Amikom Yogyakarta.