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PENINGKATAN KREATIVITAS MELALUI PELATIHAN GAME EDUKATIF BERBASIS ANDROID DI SMK N 1 KAWUNGANTEN Yusuf, Dede; Famuji, Tri Stiyo; Sumantri, Raden Bagus Bambang; Hakim, Walidy Rahman
Mitra Mahajana: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Volume 6 Nomor 2 Juli 2025
Publisher : LPPM Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/mahajana.v6i2.5662

Abstract

This community service activity aims to enhance the creativity of students at SMK Negeri 1 Kawunganten through training in the development of Android-based educational games. The background of this initiative is the need to empower students to become creators of digital technology, rather than merely users, amid the rapid growth of the gaming and mobile technology industries. The training was conducted using the QuickAppNinja platform, which enables participants to create quiz-based games without requiring programming skills. The methods used included lectures, demonstrations, hands-on practice, and participatory evaluation, with an approach tailored for beginners. The activity lasted four hours and covered the introduction to educational game concepts, game creation practice, and evaluation sessions. The results showed that after the training, the majority (71%) of participants experienced an increase in confidence in developing Android-based applications and could follow the training process effectively, producing simple game prototypes. This training enhanced students’ digital literacy, technical skills, and confidence in creating digital products. In conclusion, the Android-based educational game training proved effective in fostering student creativity and is a relevant strategy to strengthen competencies in the creative industry era.
EKSPLORASI BAHAN ALAM CILACAP UNTUK PRODUK KESEHATAN PADA KEGIATAN KARYA ILMIAH REMAJA Prastowo, Muhammad Yogie; Famuji, Tri Stiyo; Fauzi, Yuhansyah Nur; Utami, Tri Fitri Yana; Pertiwi, Yuniariana; Wardani, Tri Kusuma
Mitra Mahajana: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 Nomor 3 November 2025
Publisher : LPPM Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/mahajana.v6i3.6957

Abstract

This community service activity focused on conducting an exploration of local natural materials from Cilacap for health products within the Student Scientific Group (KIR) at SMP Negeri 5 Cilacap. The activity aimed to enhance students' understanding and scientific skills regarding the potential of their local biodiversity through a contextual learning approach. The implementation method consisted of three main stages: (1) Delivery of core material on the identification and utilization of natural materials, (2) Independent exploration and discussion by students to observe material samples, and (3) Understanding evaluation through interactive quizzes and reflection. The results demonstrated high enthusiasm and active engagement from the participants. Students were not only able to identify various natural materials and their potential benefits but also showed improved observation and collaboration skills. This activity successfully raised awareness of the value of local wisdom and opened insights into opportunities for developing health products based on local resources. For follow-up, it is recommended to develop product prototypes, compile a digital catalogue, and establish collaborations with relevant parties for program sustainability.
Machine Learning 5.0 In-depth Analysis Trends in Classification Dianda Rifaldi; Tri Stiyo Famuji; Setiawan Ardi Wijaya; Ahmed Jaber Abougarair; Phichitphon Chotikunnan; Alfian Ma'arif; Furizal
Scientific Journal of Computer Science Vol. 1 No. 1 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjcs.v1i1.2025.18

Abstract

In the era of Technology 5.0 Machine Learning continues to show significant advancements across various sectors. This study aims to examine the latest trends in Machine Learning classification, focusing on four key approaches Explainable Artificial Intelligence, Federated Learning, Transfer Learning, and Generative Adversarial Networks. The methodology involves a comprehensive literature review of research in Asia and experimentation with related datasets. The findings indicate that Explainable Artificial Intelligence enhances transparency and accuracy in data classification, Federated Learning enables decentralized learning while safeguarding data privacy, Transfer Learning improves accuracy with small datasets, and Generative Adversarial Networks aids in data augmentation for better model training. In conclusion, these techniques not only enhance the efficiency and accuracy of classification but also open up new opportunities for innovation in various fields, including healthcare, transportation, and cybersecurity.
Sosialisasi Literasi Digital dan Analisis Data Psikologis Siswa SMK Menggunakan Metode Naive Bayes Berbasis Website Yusuf, Dede; Mayji Danardono; Dinar Danan Sukmawati; Tri Stiyo Famuji; Raden Bagus Bambang Sumantri; Walidy Rahman Hakim
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 3 No. 1 (2026): Februari
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Advances in information technology require vocational school students to possess strong digital literacy skills and be aware of their psychological well-being. This community service activity was conducted at SMK Muhammadiyah Karangpucung as part of the TMMD program, a collaboration between Al-Irsyad University Cilacap (UNAIC) and the Indonesian National Armed Forces (TNI). This program aims to improve digital literacy understanding and introduce the use of website-based psychological analysis technology with the Naive Bayes algorithm. This algorithm functions to process student psychological assessment data and classify them into interest and talent categories based on the highest probability, so that the results obtained are more measurable and objective. Based on the pretest evaluation, only 30% of students correctly understood their interests and talents based on self-assessment. After participating in digital literacy socialization and training on the use of the Naive Bayes-based psychological analysis system, posttest scores increased to 90% of students who had identified their interests and talents based on the recommendations of the system analysis results. This indicates a significant increase in students' understanding of scientific interest and talent mapping assisted by digital technology. This activity serves as a concrete example of synergy between universities, defense institutions, and vocational schools in building an educational ecosystem that is adaptive to technology and supports ongoing monitoring of students' psychological well-being.