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Sosialisasi dan Pelatihan Manajemen Kearsipan Dokumen Kebencanaan, serta Penguatan Tata Kelola Keuangan pada MDMC Kota Palangka Raya Ainun Jariah; Devi Yuliantina; Bayu Suratmoko; Jaemi Wahyudi; Anggelina Hariyanti; Triwik Puji Rahayu
Inovasi Sosial : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2025): Agustus : Inovasi Sosial : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/inovasisosial.v2i3.2014

Abstract

This community service activity aims to increase the capacity of disaster archival document management and strengthen financial governance within the Muhammadiyah Disaster Management Center (MDMC) in Palangka Raya City. Orderly, systematic, and accountable archive management is a crucial factor in supporting a rapid, precise, and coordinated disaster response. Furthermore, transparent and efficient financial governance is the foundation for program sustainability and public trust in the organization. This training program is designed to provide MDMC administrators and volunteers with a comprehensive understanding of the principles, procedures, and best practices in disaster archive management and organizational finances. The implementation method includes presentations through interactive lectures combined with group discussions to identify real-world problems and solutions. Participants also have the opportunity to engage in hands-on practice, such as compiling disaster archival documents, managing archive databases, and creating simple financial reports in accordance with nonprofit accounting standards. Furthermore, this training introduces national regulations related to archiving and data protection, ensuring that practices are aligned with statutory provisions. The results of the training demonstrated an increased understanding of the participants regarding the importance of archive management and financial governance, as evidenced by their ability to systematically organize documents and present accountable financial reports. It is hoped that, after the training, participants will be able to consistently apply these principles in MDMC's operational activities. This will create a well-organized documentation system, accountable financial management, and an MDMC institution that is increasingly professional, effective, and responsive to community needs in emergency situations. This activity is a strategic step to strengthen MDMC's role as the vanguard in disaster management at the local and national levels.
The Impact of AI Knowledge, Attitudes on Technology, and Usage Experience on Student Self-Confidence (A Study at the Faculty of Business and Informatics) rafii, mohamad rafii; Bayu Suratmoko; Masrifah Dwi Yanti
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 11 No. 1 (2026): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v11i1.11357

Abstract

The disruption caused by Artificial Intelligence (AI) requires psychological readiness, particularly self-confidence, among students as future professionals. This study aims to analyze and empirically test the impact of AI Knowledge (X1), Attitude on Technology (X2), and Usage Experience (X3) on students' Self-Confidence (Y). Using an explanatory quantitative approach, data were collected through an online survey of 306 students (as a sample) at the Faculty of Business and Informatics, Muhammadiyah University Palangkaraya (N=842). The data were analyzed using PLS-SEM with SmartPLS 4. The model evaluation results showed that the data were valid and reliable, with strong predictive power (Q²=0.620). The bootstrapping hypothesis test results showed that all three hypotheses were accepted: AI Knowledge (T=2.697; P=0.004), Attitude on Technology (T=5.046; P=0.000), and Usage Experience (T=5.875; P=0.000) all have a positive and significant effect on Self-Confidence. These three variables collectively explain 63.3% of the variance in Self-Confidence (R²=0.633). Experience of Use (X3) proved to be the most dominant predictor (coefficient=0.425; f²=0.195), followed by Attitude (X2) (f²=0.129), and Knowledge (X1) (f²=0.027). This study concludes that to build student self-confidence, practice-based (“doing”) and affective (‘feeling’) interventions have a much greater substantive impact than cognitive (“knowing”) interventions.