No | Judul Publikasi | Nama Jurnal | Tahun | Keterangan | Cek Similarity |
Jurnal Nasional Terakreditasi: | |||||
1 | Impact of Imputation on Cluster-based Collaborative Filtering approach for Recommendation System | Jurnal Ilmiah Kursor, Vol 10, No 1, ISSN: 0216-0544 (e-ISSN: 2301-6914) | Juli 2019 | Paper 1 Peer Review |
Lampiran 1 |
2 | Multi-criteria based Item Recommendation Methods | Rekayasa, Vol 12, No 2, ISSN: 0216-9495 (e-ISSN: 2502-5325) | Oktober 2019 | Paper 2 Peer Review |
Lampiran 2 |
3 | Normalization based Multi-Criteria Collaborative Filtering Approach for Recommendation System | Rekayasa, Vol 13, No 3, ISSN: 0216-9495 (e-ISSN: 2502-5325) | Desember 2020 | Paper 3 Peer Review |
Lampiran 3 |
Jurnal Internasional Bereputasi: | |||||
4 | A New Weighted-learning Approach for Exploiting Data Sparsity in Tag-based Item Recommendation Systems | International Journal of Intelligent Engineering and Systems (IJIES), Vol 14, No 1, ISSN: 2185-3118 | Februari 2021 | Paper 4 Peer Review |
Lampiran 4 |
Seminar Internasional Terindeks: | |||||
5 | Employing Sparsity Removal Approach and Fuzzy C-Means Clustering Technique on a Movie Recommendation System | The 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM), ISBN: 978-1-5386-7510-6 (e-ISBN: 978-1-5386-7509-0), IEEE | 2018 | Paper 5 Peer Review |
Lampiran 5 |
6 | Enhancing the Performance of Library Book Recommendation System by Employing the Probabilistic-Keyword Model on a Collaborative Filtering Approach | The 4th International Conference on Computer Science and Computational Intelligence (ICCSCI), ISSN: 1877-0509, Elsevier B.V. | 2019 | Paper 6 Peer Review |
Lampiran 6 |
7 | NMF-based DCG Optimization for Collaborative Ranking on Recommendation Systems | The 2nd International Conference on Machine Learning and Machine Intelligence (MLMI 2019), ISBN: 978-1-4503-7248-0, ACM | 2019 | Paper 7 Peer Review | Lampiran 7 |
8 | An Efficient Scheme to Combine the User Demographics and Item Attribute for Solving Data Sparsity and Cold-start Problems | The 3rd International Conference on Informatics and Computational Science (ICICoS 2019), ISBN: 978-1-7281-4610-2, IEEE | 2019 | Paper 8 Peer Review | Lampiran 8 |
9 | Application of Latent Factor Model on a Restaurant Menu Recommendation System | Journal of Physics: Conference Series (International Conference on Science and Technology 2019), IOP Publishing | 2019 | Paper 9 Peer Review | Lampiran 9 |
10 | Collaborative Filtering Item Recommendation Methods based on Matrix Factorization and Clustering Approaches | The 10th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS 2020), ISBN: 978-1-7281-7109-8, IEEE | 2020 | Paper 10 Peer Review | Lampiran 10 |
11 | A Comparative Study of Centroid and Medoid based Categorical Data Clustering Methods for Solving Cold-start Recommendation Problem | The 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), ISBN: 978-1-7281-8284-1 (e-ISBN: 978-1-7281-8283-4), IEEE | 2020 | Paper 11 Peer Review | Lampiran 11 |
12 | Hybrid Popularity Model for Solving Cold-Start Problem in Recommendation System | The 5th International Conference on Sustainable Information Engineering and Technology (SIET 2020), ISBN: 978-1-4503-7605-1, ACM | 2020 | Paper 12 Peer Review | Lampiran 12 |
Seminar Internasional: | |||||
13 | IoT Implementation of Madura Tourism Dictionary: A study on mobile networks performance in Madura | The 2nd International Conference on Informatics for Development 2018 “DIGITAL OF THINGS” (ICiD 2018), 978-602-53524-0-9 | 2018 | Paper 13 Peer Review |
Lampiran 13 |
Seminar Nasional: | |||||
14 | Pembuatan Web Portal Sindikasi Berita Indonesia dengan Klasifikasi Metode Single Pass Clustering | Seminar Nasional Aplikasi Teknologi Informasi 2011 (SNATi 2011), 1907-5022 | 2011 | Paper 14 Peer Review |
Lampiran 14 |
Karya Cipta Nasional: | |||||
15 | Aplikasi Lamongan Tourism (Wisata Lamongan) | Hak Cipta (Program Komputer) | 2020 | Peer Review | Lampiran 15 |
16 | Android App Lamongan Tourism (Wisata Lamongan) | Hak Cipta (Program Komputer) | 2020 | Peer Review | Lampiran 16 |
Validasi Karya Ilmiah Reviewer 1
Validasi Karya Ilmiah Reviewer 2
Archive: | |||||
17 | How relevant is the irrelevant data: Leveraging the tagging data for a learning-to-rank model | The 9th ACM International Conference on Web Search and Data mining (WSDM 2016), 978-1-4503-3716-8 | 2016 | Paper 17 | Lampiran 17 |
18 | Tensor-based item recommendation using probabilistic ranking in social tagging systems | The 23rd International Conference on World Wide Web Companion (WWW 2014), 978-1-4503-2745-9 | 2014 | Paper 18 | Lampiran 18 |
19 | A two-stage item recommendation method using probabilistic ranking with reconstructed tensor model | The 2014 International Conference on User Modeling, Adaptation, and Personalization (UMAP 2014), 978-3-319-08785-6 (e-ISBN: 978-3-319-08786-3) | 2014 | Paper 19 | Lampiran 19 |
20 | An efficient tagging data interpretation and representation scheme for item recommendation | The 12th Australasian Data Mining Conference (AusDM 2014), 978-1-921770-17-3 (ISSN: 1445-1336) | 2014 | Paper 20 | Lampiran 20 |
21 | Do-Rank: DCG optimization for learning-to-rank in tag-based item recommendation systems | The 2015 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 978-3-319-18031-1 (e-ISBN: 978-3-319-18032-8) | 2015 | Paper 21 | Lampiran 21 |
22 | A tag-based personalized item recommendation system using tensor modeling and topic model approaches | The 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, 978-1-4503-2257-7, | 2014 | Paper 22 | Lampiran 22 |
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