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Training on the Implementation of Storytelling Learning with the Animation Film Method for PAUD Teachers in Bontoa Maros District Nurhayati; Inriati Lewa; Mulimat; Muh. Akdan; Indarwati
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i3.14738

Abstract

This Community Service is entitled Training on the Implementation of Storytelling Learning using the Animation Film Method for FAUD Teachers throughout the Bontoa Maros District. This topic was chosen based on the results of an interview with a teacher in Bonto Maros, South Sulawesi, that PAUD teachers in that area really need this material because they don't know what literature, children's literature, and the method of telling stories through animated films are. The importance of this material is given because so far PAUD teachers in the area still use conventional methods in teaching fairy tales. The method used in this service is training and practice. During the training, teachers were given learning materials for literature in general, children's literature, and learning methods using the animated film method. The results achieved were that PAUD teachers got the material and would apply it in class. The importance of this training for PAUD teachers throughout the Bontoa District considering that they are still using conventional methods. The teachers were satisfied and asked if it was possible to add more time to the material.
NATURAL LANGUAGE PROCESSING (NLP) APPLICATIONS FOR ERROR ANALYSIS IN LEARNING INDONESIAN FOR FOREIGN SPEAKERS (BIPA) Inriati Lewa; Zain Nizam; Andres Villanueva; Le Hoang Nam
Journal International of Lingua and Technology Vol. 4 No. 3 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i3.1113

Abstract

The increasing global demand for Indonesian language learning (BIPA) necessitates systematic, scalable error analysis to optimize pedagogical interventions, a task severely hindered by the limitations of manual correction. This study aimed to develop and validate a specialized Natural Language Processing (NLP) framework to automatically classify linguistic errors in BIPA written output and generate a statistically generalizable error map for curriculum reform. The research employed a corpus-based, developmental design, building a BIPA-Optimized NLP Error Classification Pipeline and validating it on a corpus of over 500,000 words. The model achieved a high F1-score of 0.89. Findings revealed a high error density (7.2 per 100 words), with Affix Misapplication constituting the most resistant obstacle (45% of all errors). Crucially, ANOVA confirmed a non-significant reduction rate of these errors across proficiency levels (p=0.316), indicating that simple exposure is insufficient. The study concludes that the NLP pipeline successfully provides the first objective diagnostic standard for BIPA pedagogy, proving that the difficulty is structural. This mandates an urgent shift toward systematic, targeted remediation strategies focused on the most persistent error sub-types, enabling evidence-based curriculum development.