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Winita Sulandari

Observed names: Sulandari, Winita, W Sulandari, Wınıta SULANDARİ
ORCID: 0000-0002-8185-1274
Observed ORCID: 0000-0002-8185-1274
OpenAlex ID: A5066188499
Indonesian electricity load forecasting using singular spectrum analysis, fuzzy systems and neural networks
2019 · Winita Sulandari, Subanar, et al. · Energy · 91
Exponential Smoothing on Modeling and Forecasting Multiple Seasonal Time Series: An Overview
2021 · Winita Sulandari, Paulo Canas Rodrigues · Fluctuation and Noise Letters · 53
Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks
2020 · Winita Sulandari, S. Subanar, et al. · MethodsX · 43
SSA-based hybrid forecasting models and applications
2020 · Winita Sulandari, Subanar Subanar, et al. · Bulletin of Electrical Engineering and Informatics · 29
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Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model
2016 · Winita Sulandari, Subanar Subanar, et al. · International Journal of Advances in Intelligent Informatics · 28
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Design and Development of UI/UX on Company Profile Web with Design Thinking Method
2022 · Yudho Yudhanto, Sahid Aldi Susilo, et al. · International Conference on Smart Technology, Applied Informatics, and Engineering (APICS) · 13
Designing and Making UI/UX Designs on The Official Website with The Design Thinking Method
2022 · Yudho Yudhanto, Wahyu Mangantasno Pryhatyanto, et al. · International Conference on Smart Technology, Applied Informatics, and Engineering (APICS) · 13
Implementing Time Series Cross Validation to Evaluate the Forecasting Model Performance
2024 · Winita Sulandari, Yudho Yudhanto, et al. · KnE Life Sciences · 11
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The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting
2022 · Winita Sulandari, Yudho Yudhanto, et al. · Energies · 11
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Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting
2025 · Winita Sulandari, Yudho Yudhanto, et al. · IEEE Access · 10
Forecasting time series with trend and seasonal patterns based on SSA
2017 · Winita Sulandari, Suhartono, et al. · International Conference on Science in Information Technology · 10
Forecasting trend data using a hybrid simple moving average-weighted fuzzy time series model
2015 · Winita Sulandari, Yudho Yudhanto · International Conference on Science in Information Technology · 10
Comparing the Simple to Complex Automatic Methods with the Ensemble Approach in Forecasting Electrical Time Series Data
2023 · Winita Sulandari, Yudho Yudhanto, et al. · Energies · 6
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Deep Learning for Robust Speech Command Recognition Using Convolutional Neural Networks (CNN)
2022 · Zahra Cantiabela, Hilman F. Pardede, et al. · International Conference on Computer, Control, Informatics and its Applications · 6
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Penerapan Model Hybrid Arima Backpropagation Untuk Peramalan Harga Gabah Indonesia
2014 · Sufia Nur Janah, Winita Sulandari, et al. · MEDIA STATISTIKA · 6
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A comparison forecasting methods for trend and seasonal Indonesia tourist arrivals time series
2021 · Subanar, Winita Sulandari · AIP conference proceedings · 4
Amplitude-Modulated Sinusoidal Model for The Sinusoidal Components of SSA Decomposition
2018 · Winita Sulandari, Subanar, et al. · International Symposium on Advanced Intelligent Informatics (SAIN) · 4
Peramalan Harga Saham Pt Unilever Indonesia Menggunakan Metode Hibrida Arima-neural Network
2023 · Crisma Devika Setiawan, Winita Sulandari, et al. · Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) · 3
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Forecasting of jabodetabek train passengers using singular spectrum analysis and holt-winters methods
2020 · D Safitri, Subanar, et al. · Journal of Physics Conference Series · 3
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Estimating the function of oscillatory components in SSA-based forecasting model
2019 · Winita Sulandari, Subanar Subanar, et al. · International Journal of Advances in Intelligent Informatics · 3
Implementation of Neural Network in Early Detection of Financial Crisis in Singapore
2024 · Fadia Mulyarti, Sugiyanto ., et al. · KnE Life Sciences · 2
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Small CNN for Plant Disease Classification Using Quantization-Aware Training: A Case Study on MobileNetV3
2023 · Aulia Bunga Syaharani, Winita Sulandari, et al. · International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) · 2
Transformer with Time Vector Representation for Remaining Useful Life Prediction of Lithium-Ion Batteries
2023 · Apik Wulan Sari, Asri Rizki Yuliani, et al. · International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) · 2
Evaluation of Machine Learning Models for Detecting Disambiguation on Medical Abbreviations
2022 · Raden Sandra Yuwana, Ruth Andini, et al. · International Conference on Computer, Control, Informatics and its Applications · 2
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An Empirical Study of Error Evaluation in Trend and Seasonal Time Series Forecasting Based on SSA
2018 · Winita Sulandari, Subanar Subanar, et al. · Pakistan Journal of Statistics and Operation Research · 2
Works count: 110
Citation count: 390
H-index: 10
I10-index: 12
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