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Sosialisasi Dampak Negatif Gadget Di SD Negeri 15 Kota Sorong Papua Barat Daya Muzakkir Pangri; Asih Ahistasari; Muhammad Jundullah; Muhammad Yusuf; Muhammad Surahmanto
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 7 : Agustus (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Gadgets, as modern communication tools, are making interactions between people easier. Nowadays, the development in communication has progressed rapidly with the presence of smartphones such as iPhone, Android, Blackberry, and notebook. However, in the context of early childhood developmental psychology (0-6 years), the use of gadgets can affect their social aspects. Gadgets can have both positive and negative effects on children's social and emotional development. Excessive use of gadgets can have adverse effects, such as making children more introverted, experiencing sleep disturbances, preferring to be alone, exhibiting aggressive behaviour, decreased creativity, and increased risk of cyberbullying. To overcome these negative impacts, some solutions that can be implemented include limiting the time of gadget use, parental supervision when children play gadgets, and setting an appropriate schedule so that gadget use does not interfere with early childhood social development. With this approach, it is hoped that the negative impact of gadget use can be minimised and children's social development maintained.
Pemberdayaan Literasi Digital Melalui Optimalisasi Media Sosial pada Ikatan Pelajar Muhammadiyah Kota Sorong Ermin; Faida Musa’ad; Nur Miswar; Muhammad Jundullah; Muhammad Surahmanto
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 6 No. 1 (2026): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat (Januari)
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v6i1.7209

Abstract

Digital literacy is an important competency for students in facing technological developments and the massive use of social media. However, the low ability of students to filter information, understand social media ethics, and maintain digital security remains a challenge, especially in the city of Sorong. This activity aims to empower students' digital literacy through the optimization of social media in the Muhammadiyah Student Association (IPM) of Sorong City. The implementation methods include digital literacy education, social media management training, and assistance in creating educational and ethical content. The activity evaluation was conducted using pretests and posttests to measure the increase in participants' digital literacy. The results showed an increase in the average digital literacy score of students from 55% in the pretest to 82% in the posttest, or an increase of 27%. These findings indicate that the optimization of IPM social media is effective as a means of digital literacy education and the formation of critical, safe, and productive social media behavior. This activity is expected to become a model for strengthening students' digital literacy that is sustainable and can be replicated in other student organizations.
NLP Based Tourism Service Optimization on Multilingual Voice Chatbot Muhammad Jundullah; Ermin Ermin; Muhammad Surahmanto; La Jupriadi Fakhri; Hatari Muslim
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3473

Abstract

The rapid advancement of artificial intelligence has created significant opportunities to enhance tourism services, a vital sector of Indonesia’s economy, particularly in Raja Ampat as a leading ecotourism destination. (R1-1 Background) A persistent challenge in this region is effective communication for homestay management, where limited human resources and linguistic diversity constrain service quality. (R1-1 Methodology) This study evaluates a multilingual voice chatbot integrating Natural Language Processing, Large Language Models, and a Retrieval-Augmented Generation architecture, supporting Indonesian, English, and a virtual local language. System performance is quantitatively assessed using Speech-to-Text accuracy measured by Word Error Rate, intent classification metrics, semantic retrieval effectiveness, and end-to-end evaluation. The proposed pipeline includes speech data collection, text normalization, multilingual embedding, vector storage, semantic retrieval, and response generation. (R1-2 Results) Results show that STT quality strongly determines downstream performance. Indonesian achieves the lowest WER (0.14) and the highest intent F1-score (0.89), while the virtual language records the highest WER (0.25) and the lowest intent F1-score (0.65). The semantic retriever attains a Mean Average Precision of 0.55, indicating moderate document ranking quality. The integrated end-to-end system achieves an F1-score of 0.857 with a user satisfaction score of 4.4. (A-1 Contribution) Compared with existing tourism chatbots, the proposed system uniquely combines multilingual voice interaction with RAG-based grounding to improve response reliability in low-resource settings. (A-2 Conclusion and applicability) These findings demonstrate practical effectiveness for homestay services and highlight scalability to other multilingual tourism regions in Indonesia and beyond.