| Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model W Sulandari, H Utami International Journal of Advances in Intelligent Informatics 2 (3), 131-139, 2016 | 37 | 2016 |
| Analisis Sentimen dari Aplikasi Shopee Indonesia Menggunakan Metode Recurrent Neural Network H Utami Indonesian Journal of Applied Statistics 5 (1), 31-38, 2022 | 27 | 2022 |
| SSA-based hybrid forecasting models and applications W Sulandari, S Subanar, S Suhartono, H Utami, MH Lee, PC Rodrigues Bulletin of Electrical Engineering and Informatics 9 (5), 2178-2188, 2020 | 27 | 2020 |
| Prediction the number of students in indonesia who study in tutoring agency and their motivations based on fourier series estimator and structural equation modelling MFF Mardianto, SH Kartiko, H Utami International Journal of Innovation, Creativity, and Change 5 (3), 708-731, 2019 | 20 | 2019 |
| Forecasting trend-seasonal data using nonparametric regression with kernel and fourier series approach MFF Mardianto, SH Kartiko, H Utami Proceedings of the Third International Conference on Computing, Mathematics …, 2019 | 15 | 2019 |
| Model geographically weighted panel regression (GWPR) dengan fungsi kernel fixed gaussian pada indeks pembangunan manusia di Jawa Timur DC Wati, H Utami Jurnal Matematika Thales 2 (1), 2020 | 13 | 2020 |
| Forecasting time series with trend and seasonal patterns based on SSA W Sulandari, H Utami 2017 3rd International Conference on Science in Information Technology …, 2017 | 10 | 2017 |
| The Fourier series estimator to predict the number of dengue and malaria sufferers in Indonesia M Mardianto, SH Kartiko, H Utami AIP Conference Proceedings 2329 (1), 2021 | 9 | 2021 |
| An analysis about Fourier series estimator in nonparametric regression for longitudinal data MFF Mardianto, HU Gunardi Mathematics and Statistics 9 (4), 501-510, 2021 | 9 | 2021 |
| The performance of nonparametric regression for trend and seasonal pattern in longitudinal data MFF Mardianto, SH Kartiko, H Utami ARPN Journal of Engineering and Applied Sciences 15 (9), 1111-1115, 2020 | 9 | 2020 |
| Block-Based K-Medoids Partitioning Method with Standardized Data to Improve Clustering Accuracy. H Utami, AR Effendie Mathematical Modelling of Engineering Problems 9 (6), 2022 | 8 | 2022 |
| Selection of input variables of nonlinear autoregressive neural network model for time series data forecasting H Hermansah, D Rosadi, A Abdurakhman, H Utami Media Statistika 13 (2), 116-124, 2020 | 8 | 2020 |
| Automatic time series forecasting using nonlinear autoregressive neural network model with exogenous input H Hermansah, D Rosadi, A Abdurakhman, H Utami Bulletin of Electrical Engineering and Informatics 10 (5), 2836-2844, 2021 | 7 | 2021 |
| Peramalan Beban Listrik Daerah Istimewa Yogyakarta dengan Metode Singular Spectrum Analysis (SSA) H Utami, YW Sari, S Subanar, A Abdurakhman, G Gunardi Media Statistika 12 (2), 214-225, 2019 | 7 | 2019 |
| Peramalan Nilai Tukar Dolar Amerika terhadap Indonesia dengan Model Maximal Overlap Discrete Wavelet Transform-Autoregressive Moving Average VZ Farima, H Utami Jurnal Statistika Universitas Muhammadiyah Semarang 6 (1), 2018 | 6 | 2018 |
| The Model of Per-Capita Expenditure Figures in Sumatera Selatan uses a Geographically Weighted Panel Regression: Model Angka Pengeluaran Per-Kapita di Sumatera Selatan … DC Wati, DA Azka, H Utami Indonesian Journal of Statistics and Its Applications 5 (1), 61-74, 2021 | 5 | 2021 |
| A comparison of learning algorithms for seasonal time series forecasting using NARX model D Rosadi, H Utami J. Math. Comput. Sci. 11 (6), 6638-6656, 2021 | 4 | 2021 |
| Forecasting of jabodetabek train passengers using singular spectrum analysis and holt-winters methods D Safitri, H Utami, W Sulandari Journal of Physics: Conference Series 1524 (1), 012100, 2020 | 4 | 2020 |
| Amplitude-Modulated Sinusoidal Model for The Sinusoidal Components of SSA Decomposition W Sulandari, H Utami, MH Lee 2018 International Symposium on Advanced Intelligent Informatics (SAIN), 66-71, 2018 | 4 | 2018 |
| ANALISIS KLASIFIKASI TOPIK MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER, NAÏVE BAYES MULTINOMIAL CLASSIFIER, DAN MAXIMUM ENTROPY PADA ARTIKEL BERITA;(TOPICS CLASSIFICATION … N Masithoh Universitas Gadjah Mada, 2016 | 4 | 2016 |