| Review of automatic text summarization techniques & methods AP Widyassari, S Rustad, GF Shidik, E Noersasongko, A Syukur, ... Journal of King Saud University-Computer and Information Sciences 34 (4 …, 2022 | 245 | 2022 |
| Inverted LSB image steganography using adaptive pattern to improve imperceptibility S Rustad, A Syukur, PN Andono Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 79 | 2022 |
| Dinus Intelligent Assistance (DINA) chatbot for university admission services HA Santoso, NAS Winarsih, E Mulyanto, SE Sukmana, S Rustad, ... 2018 International Seminar on Application for Technology of Information and …, 2018 | 79 | 2018 |
| Digital image steganography survey and investigation (goal, assessment, method, development, and dataset) S Rustad, PN Andono, GF Shidik Signal processing 206, 108908, 2023 | 69 | 2023 |
| A machine learning approach for corrosion small datasets T Sutojo, S Rustad, M Akrom, A Syukur, GF Shidik, HK Dipojono npj Materials Degradation 7 (1), 18, 2023 | 53 | 2023 |
| DFT and microkinetic investigation of oxygen reduction reaction on corrosion inhibition mechanism of iron surface by Syzygium Aromaticum extract M Akrom, AG Saputro, AL Maulana, A Ramelan, A Nuruddin, S Rustad, ... Applied Surface Science 615, 156319, 2023 | 40 | 2023 |
| A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds M Akrom, S Rustad, AG Saputro, A Ramelan, F Fathurrahman, ... Materials Today Communications 35, 106402, 2023 | 39 | 2023 |
| Panduan Penulisan Karya Ilmiah T Penyusun Tembilahan: Fakultas Ilmu Agama Islam Universitas Islam Indragiri, 2013 | 36 | 2013 |
| The mechanical properties of carbonized coconut char powder-based friction materials M Sutikno, P Marwoto, S Rustad Carbon 48 (12), 3616-3620, 2010 | 36 | 2010 |
| Data-driven investigation to model the corrosion inhibition efficiency of Pyrimidine-Pyrazole hybrid corrosion inhibitors M Akrom, S Rustad, AG Saputro, HK Dipojono Computational and Theoretical Chemistry 1229, 114307, 2023 | 30 | 2023 |
| Machine learning investigation to predict corrosion inhibition capacity of new amino acid compounds as corrosion inhibitors M Akrom, S Rustad, HK Dipojono Results in Chemistry 6, 101126, 2023 | 29 | 2023 |
| Lecturer performances in Indonesia higher education system E Elfindri, S Rustad, N Nizam, D Dahrulsyah International e-journal of advances in education 1 (1), 26-36, 2015 | 29 | 2015 |
| A machine learning approach to predict the efficiency of corrosion inhibition by natural product-based organic inhibitors M Akrom, S Rustad, HK Dipojono Physica Scripta 99 (3), 036006, 2024 | 25 | 2024 |
| Guruh Fajar Shidik, Edi Noersasongko, Abdul Syukur, Affandy Affandy, and De Rosal Ignatius Moses Setiadi. Review of automatic text summarization techniques methods AP Widyassari, S Rustad Journal of King Saud University-Computer and Information Sciences, 10, 2020 | 25 | 2020 |
| Investigation of Best QSPR-Based Machine Learning Model to Predict Corrosion Inhibition Performance of Pyridine-Quinoline Compounds M Akrom, T Sutojo, A Pertiwi, S Rustad, HK Dipojono Journal of Physics: Conference Series 2673 (1), 012014, 2023 | 23 | 2023 |
| Development of quantum machine learning to evaluate the corrosion inhibition capability of pyrimidine compounds M Akrom, S Rustad, HK Dipojono Materials Today Communications 39, 108758, 2024 | 20 | 2024 |
| Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds M Akrom, S Rustad, HK Dipojono Materials Today Quantum 2, 100007, 2024 | 17 | 2024 |
| Dinus intelligent assistance (DINA) chatbot for university admission services H Agus Santoso, N Anisa Sri Winarsih, E Mulyanto, G Wilujeng saraswati, ... 2018 International Seminar on Application for Technology of Information and …, 2018 | 17 | 2018 |
| Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning M Akrom, S Rustad, HK Dipojono Computational and Theoretical Chemistry 1236, 114599, 2024 | 16 | 2024 |
| SMILES-based machine learning enables the prediction of corrosion inhibition capacity M Akrom, S Rustad, HK Dipojono MRS Communications, 1-9, 2024 | 15 | 2024 |
