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All Journal Jurnal Sarjana Teknik Informatika Jurnal Infinity Scientific Journal of Informatics Jurnal Pengabdian UntukMu NegeRI Jurnal Khatulistiwa Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika Anterior Jurnal Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Jurnal Pengabdian Dharma Laksana Jurnal Inti Talafa : Jurnal Teknik Informatika JURNAL TEKNIK JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sains Komputer dan Teknologi Informasi International Journal of Engineering, Science and Information Technology Abdimas: Papua Journal Of Community Service Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Parta: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Program Pengabdian Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) JOINCS (Journal of Informatics, Network, and Computer Science) J-ENSITEC (Journal of Engineering and Sustainable Technology) Solo Universal Journal of Islamic Education and Multiculturalism Bulletin of Social Informatics Theory and Application PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Journal of Computer-based Instructional Media Jurnal Infinity Jurnal Abdimas UM Jambi Jurnal Informatika Medis (J-INFORMED) ABDIMASTEK Profetika: Jurnal Studi Islam Jurnal Wawasan Sarjana Sinergi dan Transformasi dalam Pengabdian Kepada Masyarakat
Ika Safitri Windiarti
Universitas Muhammadiyah Palangkaraya
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Journal : joincs journal of informatics network and computer science

 1 
From Scalability to Sustainability: A 20-Year Retrospective on Deep Learning and Parameter-Efficient Fine-Tuning for Text Classification: Dari Skalabilitas ke Keberlanjutan: Tinjauan 20 Tahun tentang Pembelajaran Mendalam dan Penyesuaian Parameter yang Efisien untuk Klasifikasi Teks Andry Rachmadany; Ika Safitri Windiarti
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 9 No. 1 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v9i1.1711

Abstract

In the area of natural language processing (NLP), especially regarding text classification, earlier methods that relied on traditional machine learning are being increasingly replaced by neural network designs like convolutional neural networks and recurrent neural networks. Additionally, the rise of transformer-based models has led to considerable improvements in performance, though this comes with higher demands for computing power and energy usage. This paper provides a look back at the development of deep learning and Parameter-Efficient Fine-Tuning (PEFT) methods for text classification from 2005 to 2025. The research explores important technological advancements, evaluates the balance between performance, scalability, and efficient computing, and points out the rising concern for sustainability in the development of artificial intelligence. The findings show a transition from strategies aimed at simply increasing scale to those that focus on more efficiency. In this setting, PEFT has become an important advancement in easing the computing load without greatly impacting performance, although it still faces challenges in flexibility and energy consciousness. These insights are anticipated to lay the groundwork for more research into creating environmentally friendly NLP technologies.
Context-Aware Transformer-Based Model for Aspect-Based Sentiment Analysis: A Systematic Literature Review: Model Berbasis Transformer yang Sadar Konteks untuk Analisis Sentimen Berbasis Aspek: Tinjauan Literatur Sistematis Moch. Fauzan; Ika Safitri Windiarti
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 9 No. 1 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v9i1.1712

Abstract

Aspect-Based Sentiment Analysis (ABSA) is a critical natural language processing task aimed at identifying specific aspects within text and determining the sentiment polarity toward each aspect. Transformer-based models, particularly BERT and its variants, have demonstrated significant advances in ABSA through powerful contextual representations. However, challenges in capturing target-specific context and managing inter-subtask dependencies remain. This Systematic Literature Review (SLR) identifies, evaluates, and synthesizes current research on context-aware transformer models for ABSA, with emphasis on context-aware mechanisms, multi-task learning approaches, and BERT-family models. Following the PRISMA 2020 protocol, a structured search was conducted on the Scopus database using three Boolean queries, yielding 851 initial records. After deduplication (n=70), title/abstract screening (n=554 excluded), retrieval (n=147 not retrieved), and full-text eligibility assessment (n=48 excluded), 32 studies were included for synthesis. Three primary model categories were identified: (1) BERT baselines establishing strong end-to-end ABSA performance; (2) context-aware variants employing context-guided attention (CG-BERT, QACG-BERT, LCF-ATEPC, cascade models); and (3) multi-task transformers (BERT-MTL, RoBERTa-MTL, MTL-AraBERT, SABKG, MLEGCN) handling ABSA subtasks jointly. Reported F1-scores ranged from 50–89% across SemEval-2014/2015/2016 and domain-specific datasets. ntext-aware and multi-task transformer models represent the state of the art in ABSA. Open challenges include implicit aspect handling, cross-domain generalization, model efficiency, and evaluation of large generative language models (LLMs) for fine-grained sentiment tasks.
Co-Authors Achmad Rizal Kurniawan Agung Afrizal Agung Prabowo Agung Prabowo Agung Prabowo Agung Prabowo - STMIK Palangka Raya Ahyar Junaedi Aidin Najihi Alberto Emmanuel Conti Morales Amar Ma’ruf Amri, Irman Andriawan, Deden Andry Rachmadany Auratania Hadisah Sugianto Bella Mailinda Citra Amalia DAFIT AFIANTO Deden Andriawan Desy Selawaty Diki Hidayat Doddy Teguh Yuwono Dwi Haryanto Dwi Haryanto Ellathodi, Mohammed Razi Eltom Ishaq Osman Musa Fahrizal Maulana Fahrizal Maulana Fitriani Fitriani Hairil Anwar Haryadi Haryadi Haryadi - Irvan Irwandi Istiawan, Deden Jarinah, Jarinah Jaya Anggatama Kusrini Lutfi Ali Muharrom Meika, Ika Miftahurrisqi Miftahurrisqi Miftahurrisqi, Miftahurrisqi Miftahurrizqi Mita Sari Moch. Fauzan Mohamad Rafii Mr. Anat Maisu Muh Ashari Muhammad Awaluddin Muhammad Awaluddin Muhammad Haris Qamaruzzaman Muhammad Ulfi Muthoifin Najwa Aulia Suwandini Nenden Suciyati Sartika Norhalisa, Siti Norhayati Norjanah Siti Nurul Huda Nurul Huda Pebriansen, Yairus Pratama, Agus Putri, Cici R Rosidin Rachmat Hidayat Rahmadana, Muhammad Akbar Ramadhan, Haris Hiqqal Rida Priyanti Robetson, Robetson Rommi Kaestria Rufi'i Safrizal Sam'ani Sam'ani Santoso, Arif Gunawan Setio Ardy Nuswantoro Sholehah, Fitri Amalia Sidik Praptomo Sujana, Asep Sulistyowati Sulistyowati Sutami Suwandini, Najwa Aulia Syamsul Bahri Wawan Joko Pranoto Wawan Joko Pranoto Wiwinti Wiwinti Yaakub, Saleh Yelia, Cica Yeni Dwi Rahayu Zaenal Hakim Zulmi