A Dual-Network iTransformer Model for Robust and Efficient Time Series Forecasting
Ary Mazharuddin ShiddiqiInstitut Teknologi Sepuluh Nopember Bagaskoro Kuncoro ArdiInstitut Teknologi Sepuluh Nopember Bilqis AmaliahInstitut Teknologi Sepuluh Nopember I Komang Ari MogiInstitut Teknologi Sepuluh Nopember Agung Mustika RizkiInstitut Teknologi Sepuluh Nopember Bintang NuralamsyahInstitut Teknologi Sepuluh Nopember Ilham Gurat AdillionInstitut Teknologi Sepuluh Nopember Moch. Nafkhan AlzamzamiInstitut Teknologi Sepuluh Nopember Views: 431 Downloads: 394 DOI: https://doi.org/10.12962/j24068535.v23i2.a1264 Abstract Time-series forecasting plays […]
Exploring The Effectiveness of In-Context Methods in Human-Aligned Large Language Models Across Languages
Ubaidillah Ariq PrathamaInstitut Teknologi Bandung Ayu PurwariantiInstitut Teknologi Bandung Samuel CahyawijayaCohere, United Kingdom Views: 331 Downloads: 199 DOI: https://doi.org/10.12962/j24068535.v23i2.a1323 Abstract Most of past studies about in-context methods like in-context learning (ICL), cross-lingual ICL (X-ICL), and in-context alignment (ICA) come from older, unaligned large language models (LLMs). However, modern human-aligned LLMs are different; they come with chat-style prompt […]
Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements
Ervina NoorainiInstitut Teknologi Sepuluh Nopember Mohamad Almas PrakasaInstitut Teknologi Sepuluh Nopemberhttps://orcid.org/0000-0003-0052-3656 Muhammad Ruswandi DjalalInstitut Teknologi Sepuluh Nopemberhttps://orcid.org/0000-0002-4313-4557 Rony Seto WibowoInstitut Teknologi Sepuluh Nopember Imam RobandiInstitut Teknologi Sepuluh Nopemberhttps://orcid.org/0000-0003-3220-4211 Views: 266 Downloads: 139 DOI: https://doi.org/10.12962/j24068535.v23i2.a1265 Abstract This paper is proposed to demonstrate the implementation of Mixed-Integer Linear Programming (MILP) for solving the optimal operation of the Integrated Electricity […]
Exploring The Role of Augmented Reality in Education: Systematic Literature Review
Passion Timothy Gerald SianiparPoliteknik Imigrasi, Tangerang WilonotomoPoliteknik Imigrasi, Tangerang Priati AssirojPoliteknik Imigrasi, Tangerang Views: 376 Downloads: 151 DOI: https://doi.org/10.12962/j24068535.v23i2.a1267 Abstract The development of digital technology drives innovation in education, one of which is through the implementation of augmented Reality (AR), which increases interactivity and understanding of abstract concepts in learning. This study employs a Systematic Literature Review […]