Author

Aprilisa Arum Sari

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Open access Aug 2026

Residual Learning-Based Hybrid ARIMA–LSTM for Digital Retail Demand Forecasting

The rapid growth of digital retail has increased the need for accurate demand forecasting to support inventory planning and operational decision-making. This study proposes and evaluates a residual learning-based Hybrid ARIMA–LSTM framework for daily retail demand forecasting. A univariate dataset containing 1,826 dail...

Dwi Hartanti, Aprilisa Arum Sari · Journal of Information Syste... · 0 citations

Open access Sep 2026

Cross-Lingual Indirect Prompt Injection Across Retrieval, Reranking, And Generation In Multilingual RAG

External evidence can make retrieval-augmented generation (RAG) more informative, yet retrieved passages also provide a path for adversarial instructions to enter the model context. We examine that path in an English-Indonesian RAG system and track cross-lingual indirect prompt injection separately at retrieval, rerank...

Fauzi Bondan Prihananto, Erlangga Bayu Yudho Prakoso, Aprilisa Arum Sari et al. · Journal of Computational Sci... · 0 citations

Open access Jul 2026

Pendekatan Interpretable Machine Learning untuk Analisis Keberhasilan Kampanye Pemasaran Menggunakan CatBoost dan SHAP

Predicting the success of digital marketing campaigns remains a significant challenge due to the complex interactions among various variables, such as budget allocation and advertising channel selection. This study aims to develop a marketing analytics model that achieves high predictive accuracy while also providing c...

Aprilisa Arum Sari, Oktalia Kumala Sari · Infotek : Jurnal Informatika... · 0 citations