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Optimization of Information Literacy, Knowledge, and Training for Orang Rimba In Jambi Province Yasir Riady; Milde Wahyu; Sri Sukatmi; Melisa Arisanty; Anton Robiansyah; Sri Maulidia Permatasari; M. Firman Karim
Jurnal Abdimas Cendekiawan Indonesia Vol. 1 No. 2 (2024): May
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v1i2.87

Abstract

Enhancing the skills and training capabilities of the Orang Rimba in Jambi Province involves various activities such as drawing skills, information literacy, and computer skills. These activities are designed to develop individual potential and provide them with the necessary tools to adapt to the demands of the times. The main goal of this training is to improve their competence and knowledge in these fields, thereby facilitating their daily lives and future endeavors while encouraging self-reliance through the acquired knowledge. Additionally, this training aims to equip them with specific skills that can enhance their opportunities for independence and success in the future. Local experts and volunteers are actively involved in organizing this community service program. They not only share their knowledge but also provide the moral support and motivation that the participants greatly need. The results of this training have shown significant improvements in the participants' skills and knowledge, which is concrete evidence of the program's effectiveness. In conclusion, the community service program serves as an effective approach to enhancing the skills and knowledge of the Orang Rimba in various fields, helping them become more independent and prepared to face future challenges.
Mapping Generational Digital Literacy and Internet Usage Patterns in Open and Distance Learning: A K-Means Clustering Analysis Selly Anastassia Amellia Kharis; Melisa Arisanty; Anton Robiansyah; Arman Haqqi Anna Zili
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 12 No. 3 (2026): September (IN PRESS)
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v12i3.20354

Abstract

This study aims to map digital literacy and internet-use patterns among multigenerational new students in open and distance learning (ODL) and to determine whether the resulting profiles are differentiated solely by generation or also by occupational and behavioral characteristics. A quantitative exploratory design with K-Means cluster analysis was applied to data from 4,371 new students at Universitas Terbuka Jakarta. The analysis integrated generational profile, occupation, internet-access time, dominant online activity, preferred social-media platform, daily social-media duration, and digital-literacy classification. The Elbow Method indicated a five-cluster solution. The cluster represented 17.00%, 24.94%, 18.39%, 9.40%, and 30.27% of respondents, respectively. Overall, 62.18% of students were classified as High and 35.69% as Very High in digital literacy, while only 2.13% were Satisfactory and none were Low or Very Low. Cluster 3, dominated by Generation Y private employees, contained 97.01% Very High-literacy students, whereas Cluster 5, also dominated by Generation Y private employees, contained 98.49% High-literacy students. Generation Z appeared across three clusters with distinct access timed and online activities. These findings show that generation alone does not adequately explain digital-literacy patterns in ODL; occupational background and digital-use behavior provide additional differentiation. The results supports cluster-based digital-literacy support, flexible learner services, and targeted skill development in ODL.
Pengaruh fraud pentagon dalam mendeteksi fraudulent financial reporting Antonius Dwi Maryadi; Pratana Puspa Midiastuty; Eddy Suranta; Anton Robiansyah
Jurnal Akuntansi, Keuangan, dan Manajemen Vol 2 No 1 (2020): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v2i1.104

Abstract

Purpose: This study aims to provide empirical evidence of the influence of financial targets, financial stability, external pressure, institutional ownership, ineffective monitoring, quality of external audits, change in auditors, change of director and frequent number of CEO's picture in detecting fraudulent financial reporting. Research methodology: This study proves that financial targets, external pressure, change in auditors, and frequent numbers of CEO's picture have an effect on detecting fraudulent financial reporting while financial stability, institutional ownership, ineffective monitoring, quality of external audit, and change of director are not influential in detecting fraudulent financial reporting. Results: This study proves that financial targets, external pressure, change in auditors, and frequent numbers of CEO's picture have an effect on detecting fraudulent financial reporting while financial stability, institutional ownership, ineffective monitoring, quality of external audit, and change of director are not influential in detecting fraudulent financial reporting. Limitations: This study used logistic regression analysis using a combined model of Beneish M-Score and Altman Z-Score that still contained an inaccurate classification of fraud and non-fraud. In the research, the R-Square value was low which meant that the ability of independent variables to influence the dependent variable was still low. Contribution: This research is expected to enrich the literature and references that can be used as a reference in other studies as well as in the company. The results of this study are expected to provide a deeper understanding of how to predict fraudulent financial reporting using the Beneish M-Score and Altman Z-Score. Keywords: Fraudulent financial reporting, Fraud pentagon, Beneish M-Score, Altman Z-Score