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DINAMIKA KETEGANGAN POLITIK PASCA PEMILU 2024 DALAM MEMPERTAHANKAN STABILITAS DEMOKRASI DI INDONESIA Salsa Agustin; Rizki Maharani; Rizki Ramadhani
Governance Vol. 12 No. 2 (2024): Governance: Jurnal Ilmu Pemerintahan
Publisher : Sekolah Pascasarjana Universitas Islam "45" Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/governance.v12i2.9742

Abstract

The 2024 general election in Indonesia is not only a democratic event, but also presents significant challenges related to political stability and democracy. Presents significant challenges related to political stability and democracy. In this context, this paper aims to analyze the dynamics of political tensions emerging post-2024 elections and their impact on democratic stability in Indonesia. This research uses a qualitative approach by collecting data from various sources, including interviews with political stakeholders, media analysis, and related literature. The results highlighted increasing political polarization, inter-group conflicts, as well as efforts to form a stable governing coalition. In addition, the analysis also explored the role of political communication in easing or exacerbating post-election political tensions. Overall, the analysis of the dynamics of political tensions after the 2024 elections highlights the complexities and challenges faced in maintaining democratic stability in Indonesia. Through the study of political structure, power, legitimacy and political communication, we can understand that elections are not the end of the political process, but the beginning of an important stage in building a stable and inclusive political order. The analysis shows that post-election political tensions do not only include competition between political parties, but also involve various factors such as political polarization, government formation, legitimacy of power, and public political participation.
Pendampingan Peningkatan Kompetensi Pedagogik Guru dalam Mendesain Instrumen Penilaian Berbasis Kasus (Case Based) di Desa Inderalaya Mulya Alfiandra Alfiandra; Rizki Maharani; Nila Sari; Puspa Dianti; Tri Andyta
Abdimas Galuh Vol 8, No 1 (2026): Maret 2026
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v8i1.22131

Abstract

Pembelajaran pada abad 21 menekankan pengembangan kemampuan berfikir kritis peserta didik. Salah satu pembelajaran yang memfasilitasinya adalah pendekatan pembelajaran berbasis masalah (Case Based Learning). Hasil penelitian kompetitif kami yang didanai dana PNBP Universitas Sriwijaya tentang desain pembelajaran berbasis masalah pada 2022 dan 2024 menyimpulkan salah satu komponen penting adalah penilaian yang juga berbasis masalah. Penilaian berbasis masalah adalah penilaian di mana siswa mengeksplorasi studi kasus nyata atau semi nyata. Guru berperan sebagai fasilitator, sedangkan peserta didik mengembangkan pemecahan masalah melalui analisis kritis, kolaborasi, dan refleksi. Banyak guru mengalami kesulitan merancang instrumen penilaian autentik sesuai prinsip penilaian berbasis kasus, seperti penggunaan kasus relevan, penilaian komprehensif, dan pemberian umpan balik. Untuk itu guru memerlukan pendampingan lewat kegiatan pengabdian masyarakat. Mitra sasaran adalah guru PPKn dalam MGMP PPKn SMP di desa Inderalaya Mulya. Kondisi eksisting mitra ditandai ketimpangan akses pelatihan, fokus sebelumnya lebih pada kurikulum/administrasi, bukan pedagogik dan penilaian kontekstual. Solusi prioritas adalah pelatihan dan simulasi desain penilaian berbasis kasus serta pendampingan implementasi. Tahapan kegiatan: sosialisasi, pelatihan, penerapan, pendampingan, evaluasi. Hasil menunjukkan kehadiran dan keaktifan tinggi, pemahaman peserta meningkat, produk instrumen sangat baik, dan kepuasan guru kategori sangat puas. Kegiatan PPM berhasil meningkatkan kompetensi pedagogik guru dalam mendesain instrumen penilaian berbasis kasus untuk meningkatkan pelayanan pembelajaran.
Teacher Empowerment in the Development of Artificial Intelligence (AI)-Based Learning Media in Meranjat Village Ogan Ilir Regency Umi Chotimah; Sri Artati Waluyati; Camellia; Rizki Maharani; Muhammad Alipraja; Rike Erlande; Dini Amziyah; Della Valentin; Yudisia Sofani Putra Rosadi; Siti Naila; Putri Patricia
Unram Journal of Community Service Vol. 6 No. 4 (2025): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1277

Abstract

Training on the use of Artificial Intelligence-based learning media was held as part of teacher empowerment activities in developing such media. This community service activity was held by the Civic Education Study Program, Faculty of Teacher Training and Education, Sriwijaya University. The Community Service Team trained teachers at SMPN 1 Indralaya Selatan, Meranjat Village, Ogan Ilir Regency, to develop Artificial Intelligence (AI)-based learning media. This training and mentoring aimed to improve teachers' capabilities so they could create innovative and effective learning. The methods applied included counseling, training, and mentoring in direct practice using Artificial Intelligence-based media from Wayground AI, Canva AI, Avatar AI, Renderforest AI, LMS AI, and ChatGPT AI, as well as assessments through pretests and posttests to measure the increase in participants' understanding. The results showed a significant increase in understanding of creating Artificial Intelligence-based learning media, with the average post-test score of participants increasing from 37.7 to 80.03 from a total of 30 participants. The evaluation results showed high satisfaction from participants with the material provided and its relevance to needs in the field. The participants' response was very positive, as evidenced by their active discussions, willingness to experiment with the media, and commitment to creating learning products. The program is planned to continue with follow-up publications in newspapers, YouTube, and journals, as well as evaluation meetings and activity reports. It is hoped that this program will continue to empower teachers to improve and develop AI-based learning media in schools.