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Pencegahan Bullying: Pendekatan Edukasi dan Psikososial di Sam Tengku Ampuan Jemaah Sungai Besar Selangor Malaysia Muh. Nur Rochim Maksum; Nurul Latifatul Inayati; Wachidi; Athia Tamyizatun Nisa; Izzun Khoirun Nissa; Lukman Harahap; Viky Nur Vambudi; Alfan Rifai; Abil Fida Muhammad Qois Al Hadi; Ade Kurniawan; Lokahita Reangeli Cahyani; Galih Anisa Fala; Nadia Zakia Al ‘Ulya; Hanida Putri; Nanda Ayu Walhidayah; Jumingan; Lintang Faza Muqoddas
JURPIKAT Vol 7 No 2 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i2.3084

Abstract

Bullying in Malaysian secondary schools is a crucial issue due to the low awareness and readiness of teachers in handling cases. This service focuses on the prevention of bullying at SAM Tengku Ampuan Jemaah through an educational and psychosocial approach. The goal is to raise awareness of the dangers of bullying and equip teachers with social-emotional skills to create a safe school environment. The method applied is experiential learning through the Workshop "Building Safe Schools" with Psychological First Aid (PFA) material and the integration of spiritual values. The results showed a significant increase in the capacity of 24 participating teachers, with an average increase in understanding of 19.78% (from 3.64 to 4.36). The positive impact is to strengthen the role of teachers as safe adults who are able to carry out initial interventions in an empathetic and systematic manner, in order to encourage the creation of an inclusive and violence-free school culture.
Deep Learning in Education: A Systematic Literature Review on Its Applications and Challenges Ashri Nafiah Nur Isti Qomah; W Wachidi; Muh. Nur Rochim Maksum; Alfan Rifai; Fadhilla Nangroe Anggraini
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This research aims to provide a systematic review of the application of deep learning technology in education and the challenges faced in its implementation. With the increasing adoption of artificial intelligence (AI) technology in education, especially in personalized learning, this research is important to understand the potential and barriers that affect the successful implementation of this technology. The main objective of this study is to identify the application of deep learning in education, evaluate the challenges faced, and assess its impact on the quality of learning in the formal and non-formal sectors.The method used is a systematic literature review by following the PRISMA 2020 guidelines. Relevant articles were selected from various academic databases published between 2020 and 2026. After screening, 13 articles that met the inclusion criteria were analyzed using narrative synthesis and thematic analysis approaches. The results show that deep learning can improve learning personalization, provide faster feedback, and increase student engagement. However, the main challenges faced are the limitations of technology infrastructure, unrepresentative data quality, and the difficulty of educators in integrating this technology. Issues related to data privacy and technology access gaps are also significant obstacles. This study recommends the need for policies that support more equitable access to technology, educator training, and increased transparency in the use of deep learning models.
The Impact of Artificial Intelligence on Education in Indonesia: A Systematic Literature Review of Applications, Challenges, and Future Development Directions Muhammad Natsir Tarani; Mohamad Ali; Wachidi Wachidi; Oscharil Aji Mukti
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Artificial Intelligence (AI) has become a transformative force in education globally, including in Indonesia, by offering solutions to improve teaching, learning, and education management. This study aims to provide a comprehensive overview of the application of AI in Indonesian education through the Systematic Literature Review (SLR) approach combined with bibliometric analysis. This study identifies the various applications of AI used in Indonesian education, the challenges faced in their implementation, and the direction of research and policy development that can strengthen the integration of AI in the education sector. Based on an analysis of 74 articles published between 2022 and 2026, key findings show that generative AI, such as ChatGPT, is becoming one of the most widely applied technologies in higher education, particularly in language learning and academic writing. The main challenges faced are infrastructure gaps, the digital readiness of teachers, and policies that are not comprehensive. Future research is suggested to focus on national policy development, practice-based training for teachers, and the development of more adaptive and inclusive AI technologies. This study provides important insights for policymakers and education practitioners in designing more effective AI adoption strategies in Indonesia.
Co-Authors Abdul Karim, As’ad Abil Fida Muhammad Qois Al Hadi Ade Kurniawan Adrian Rodgers Ahmad Zulinto Alexon Alexon Alexon, Alexon Alfan Rifai Alfan Rifa’i Abu Suheil Andri Nirwana AN Annas Fajar Rohmani Ari Anshori, Ari Arief Maulana Ashri Nafiah Nur Isti Qomah Asmara, Adi Athia Tamyizatun Nisa Bambang Sumardjoko Budihargo, Mushab Umar Choiron, Alfian Achmad Chusniatun Connie Connie David D Perrodin Demes Ilham Al Fikri Desmi Dwi Harsasi Dina Hajja Ristianti Dmitriy Yu Tumanov Ediansyah Ediansyah Een Yayah Haenilah Eko Risdianto Eko Wicaksono Fadhilla Nangroe Anggraini Fathurochman, Irwan Galih Anisa Fala Habibi, Ali Hafidz . Hafidz Hafidz Halima, Raden Ayu Hanida Putri Haninda Nabila Rahmani Haqiqi, Muh Adam Harun Joko Prayitno Hendri Budi Utama Hidayat, Syamsul I Gusti Agung Ayu Mas Oka Irwan Fathurrochman Iwan Aprianto Jobeda khanom Jumingan Kurniawan Kurniawan Kusen Kusen Kusuma, Ria Nata Lintang Faza Muqoddas Lokahita Reangeli Cahyani Lukman Harahap Mahasri Shobahiya Manan, Nanan Abdul Ma’arif Jamuin Mei Dana Pilhandoki Mohammad Ali Muh Nur Rochim Maksum MUHAMMAD ALI Muhammad Ali Muhammad Kristiawan Muhammad Natsir Tarani Muhammad Samsudin Murni Yanto Mustofa Dasuki Mutohharun Jinan Nadia Zakia Al ‘Ulya Nanda Ayu Walhidayah Nina Kurniah Noferi Dwi Yulianto Nur Afifah Santoso Nur Farid Khoiruddin Nur'Aini, Siti Nurhantanto, Armin Nurul Latifatul Inayati Oscharil Aji Mukti Parida Ariani Rifai, Alfan Riyanto Riyanto Riyanto Riyanto Rusdarti - Selvi Selvi Somantri, Manap Somantri, Manap Sriwahyuni, Eci Sudarwan Danim Suwanto Suwanto Syaiful Anwar AB Taqiyuddin, Yusuf Mukhtar Triono Ali Mustofa Turdjai Turdjai Viky Nur Vambudi Wasidi Wasidi Waston Widia Nur Jannah, Widia Nur Windayani, Windayani Woro Yustia Pratiwi Yulianto, Noferi Dwi