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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]

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 and Suryana, N and Basari, A S H (2022) Generate Contextual Insight of Product Review Using Deep LSTM and Word Embedding. [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 (2022) LEMBAR HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH: Hak CIPTA (Aplikasi Electronis Office (E-Office)). [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 and Suryana, Nanna and Basari, Abdul Samad Hasan (2022) Dynamic convolutional neural network for eliminating item sparse data on recommender system. [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]

Suyatmi, Suyatmi (2021) Peran Orientasi Kewirausahaan dan Orientasi Pembelajaran untuk Meningkatkan Kinerja UMKM. [Research]

Suyatmi, Suyatmi (2021) Pengembangan Iklan Layanan Masyarakat Gunakan Selalu Masker Menggunakan Animasi 2D. [Research]

Suyatmi, Suyatmi (2021) Pengembangan Produk Anyaman Taesthic.co dalam Mengingkatkan Penjualan. [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) 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 (2019) Exploit Multi Layer Deep Learning And Latent Factor To Handle Sparse Data for E-Commerce Recommender System. [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) Increase Robustness SDAE With Imputing Missing Value to Eliminate User's Sparse Data In Case E-Commerce Recommender System. [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 (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]