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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Sains dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) JURNAL PengaMAS Jurnal Informatika dan Rekayasa Perangkat Lunak Bubungan Tinggi: Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Applied Data Sciences Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Literasi Digital Indonesia Indonesian Journal of Community Services Cel Journal of Digital Literacy and Volunteering Prosiding Seminar Nasional Unimus Jurnal Medika: Medika Journal of Digital Literacy and Volunteering
Najirah Umar
Universitas Handayani Makassar
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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EVALUATION OF INDOBERT AND ROBERTA: PERFORMANCE OF INDONESIAN LANGUAGE TRANSFORMER MODELS IN SENTIMENT CLASSIFICATION M. Adnan Nur; Najirah Umar; Zhipeng Feng; Hamdan Gani
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 2 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i2.9988

Abstract

The development of Natural Language Processing (NLP) technology has had a significant impact on various fields, especially in sentiment analysis. This analysis becomes important in understanding public perception, especially on social media which has a lot of opinions. Indonesian, with its morphological complexity, dialectal variations, and dynamic everyday vocabulary usage, presents unique challenges in the development of NLP models. This study aims to evaluate and compare the performance of two Indonesian language transformer models, namely IndoBERT (Indonesia Bidirectional Encoder Representations from Transformers) and RoBERTa Indonesia (Robustly Optimized BERT Pretraining Approach) in applying sentiment classification using the Indonesian General Sentiment Analysis Dataset. Both models were fine-tuned using consistent hyperparameter configurations to ensure the validity of the comparison. Evaluation was conducted based on classification metrics, namely precision, recall, F1-score, and accuracy. The results show that the IndoBERT model excels in all aspects of evaluation. IndoBERT achieved an accuracy of 70%, while RoBERTa Indonesia only reached 67%. Additionally, the average F1-score of IndoBERT at 0.69 is higher compared to RoBERTa, which only reached 0.65. The performance of IndoBERT is also more balanced in classifying the three sentiment categories (negative, neutral, and positive), whereas RoBERTa shows less consistent performance, especially in negative and positive sentiments. In the loss analysis, IndoBERT produced a lower evaluation loss value, indicating better generalization capability. Additionally, IndoBERT also shows faster and more stable training times compared to RoBERTa. This performance difference shows that the architecture and pre-trained data used by each model affect their ability to understand Indonesian contextually. This research provides a comprehensive comparative overview of the effectiveness of two transformer models in the task of Indonesian language sentiment analysis, as well as lays the groundwork for selecting a more optimal model in the development of NLP systems for social media.
DIGITALIZATION OF DANGKE MELONA SMES: BOOSTING SALES THROUGH E-COMMERCE Andi Asy’hary J. Arsyad; Usman Tamrin; Najirah Umar; Asmaul Husna RS; Janisa Pascawati Lande
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.40238

Abstract

UMKM Dangke Melona di Kabupaten Enrekang menghadapi tantangan signifikan dalam memanfaatkan teknologi digital untuk memperluas pasar mereka di tingkat nasional dan internasional. Dalam konteks globalisasi ekonomi yang semakin pesat, transformasi digital menjadi kunci keberhasilan usaha kecil dan menengah, terutama dalam menjangkau konsumen di luar batas-batas geografis. Program Pengabdian kepada Masyarakat ini dirancang untuk mendukung transformasi digital UMKM Dangke Melona melalui peningkatan literasi digital dan implementasi strategi pemasaran digital yang komprehensif. Metode pelaksanaan program meliputi sosialisasi, pelatihan, dan pendampingan dalam pengelolaan media sosial, pengembangan website, serta optimalisasi penggunaan e-commerce. Hasil dari program ini menunjukkan adanya peningkatan signifikan dalam jumlah pengikut di media sosial, peningkatan penjualan produk melalui platform e-commerce, serta terbentuknya kemitraan dengan distributor nasional dan internasional. Dengan demikian, program ini tidak hanya meningkatkan kemampuan teknis dan manajerial UMKM Dangke Melona, tetapi juga membuka peluang bagi mereka untuk bersaing di pasar global.
Co-Authors - Guntur agus rahmat Andi Alamsyah Andi Asy’hary J. Arsyad Andi Harpeni Dewantara, Andi Harpeni Anitasar, Bestfy Anna Lidiyawati Apriyanto, Mulono Arsyad, Andi Asyhary J. Asmaul Husna RS Asmaul Husna RS Asriayani Ismail As’ad, Ihwana Base, Nurul Hidayah Darmawan Setiawan, Darmawan Dewi Handayani DODY KURNIAWAN Dwiky Darmawansyah Fahmi Yuliady Fatri Sagita Fuari Anatasya, A. Edeth Gani, Helmy Hamdan Gani Hamdan Gani Indriyani Indriyani Indriyati, Citra J. Arsyad, Andi Asyhary Janisa Pascawati Lande Jefry Samuel Jura, Suwatri Kamaruddin Kamaruddin Lande, Janisa Pascawati Lubis, Siti Rahmah Hidayatullah Lukman Handoko M. Adnan Nur Mansur Mansur Muh. Fachrur Razy Mahka Muhammad Idris Nasrullah Nasrullah Nur Lilis Sukanda Nur, M. Adnan Nurfaedah Nurfaedah, Nurfaedah Nuris Kushayati Putri, Nur Ika Raden Wirawan Rahmaniar Rahmaniar, Rahmaniar Rahmat Hidayat Rizkha, Andi Nur RS, Asmaul Husna Siskha Putri Sayekti Sri Khaerawati Nur Sri Panca Setyawati Sudarsono, Firman Sutiharni, Sutiharni Syahrul Saleh Syam, Supriadi Syurah A Furqany Tahir, Zaenal Tamrin, Usman Ulfa Laela R Usman Tamrin Usman, Musrayani Wabula, Yuyun Wahyuningsih, Pujianti Yuyun Yuyun, Yuyun Zhipeng Feng Zhipeng, Feng Zuhriyah, Sitti