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Pelatihan Pengelolaan LMS Untuk Meningkatkan Efektivitas Pembelajaran Di SMAN 2 Temanggung Agus Qomaruddin Munir; Nurkhamid Nurkhamid; Ramadhana Setiyawan; Zaenal Mustofa; Ratna Wardani
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/n1e58r88

Abstract

SMAN 2 Temanggung merupakan salah satu sekolah pelopor dalam penerapan Ujian Nasional Berbasis Komputer (UNBK) dengan dukungan infrastruktur yang memadai, termasuk laboratorium komputer modern dan jaringan internet yang stabil. Meskipun mayoritas guru dan siswa telah terbiasa menggunakan perangkat digital seperti smartphone berbasis Android, hasil observasi menunjukkan bahwa proses pembelajaran masih didominasi oleh metode ceramah. Kondisi ini menyebabkan siswa kurang memperoleh kesempatan untuk membangun pengetahuan secara mandiri. Pemanfaatan Teknologi Informasi dan Komunikasi (TIK) dalam pembelajaran masih terbatas, sering kali hanya sebatas penggunaan PowerPoint sebagai media presentasi. Di sisi lain, siswa lebih banyak menggunakan perangkat digital untuk hiburan daripada kegiatan akademik. Tantangan ini menegaskan perlunya peningkatan kompetensi guru dalam mengintegrasikan TIK melalui pelatihan dan pengembangan perangkat pembelajaran yang inovatif. Dengan penerapan strategi pembelajaran interaktif berbasis teknologi, diharapkan guru dapat menciptakan lingkungan belajar yang lebih fleksibel, menarik, dan efektif, sehingga mampu meningkatkan motivasi serta hasil belajar siswa di era digital
Deep Learning Rnn-Lstm Model For Forecasting Tourist Visits In Yogyakarta Using Bps Time-Series Data Munir, Agus Qomaruddin; Wardani, Ratna; Setiyawan, Ramadhana; Mustofa, Zaenal; Nurkhamid, Nurkhamid
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5467

Abstract

Tourism is a crucial sector in Indonesia's economic growth, particularly in Yogyakarta, contributing significantly to revenue, job creation, and infrastructure development. However, the COVID-19 pandemic has significantly impacted the tourism industry, making tourist arrival forecasting crucial for effective government policy decision-making. This study aims to predict tourist arrivals in Yogyakarta using deep learning models, specifically the Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) algorithms, chosen for their ability to process time series data and address non-linearity issues. Tourist arrival data from the Yogyakarta Central Statistics Agency (BPS) was used to train and test the model. Model evaluation was conducted using the Root Mean Squared Error (RMSE) metric to measure prediction accuracy. The results show that this model can accurately predict tourist arrival patterns, which can support strategic decision-making regarding the procurement of tourism facilities in Yogyakarta. The impact of this research is to provide practical benefits for local governments and tourism industry players in planning tourism promotion and management strategies. With more accurate predictions, relevant parties can prepare necessary resources and optimize tourism services according to projected visitor numbers.
Peningkatan Kompetensi Guru SMP Negeri 12 Yogyakarta dalam Membuat Bahan Ajar Digital dengan Canva Satriyo Agung Dewanto; Bekti Wulandari; Bonita Destiana; Agus Qomaruddin Munir; Yudianto, Muhammad Resa Arif; Dzul Fadli Rahman; Ramadhana Setiyawan
Jurnal Atma Inovasia Vol. 6 No. 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v6i1.12704

Abstract

Digital transformation requires teachers to be able to develop innovative and interactive teaching materials. However, limited competence in utilizing modern design platforms remains an obstacle at SMP Negeri 12 Yogyakarta. This community service program aims to improve teachers' skills in creating interactive digital teaching materials using the Canva platform. The method utilized was a hands-on workshop with a mixed-methods evaluation approach, including pre-tests, post-tests, product assessments, and feedback questionnaires. The evaluation results showed a significant increase in competence among all participants, as evidenced by a surge in post-test scores, the quality of teaching materials that were functional and visually appealing, and a very positive perception of the benefits and implementation of the training. It was concluded that this training was effective in equipping teachers with practical skills to transform themselves into producers of digital content relevant to 21st-century learning needs.