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All Journal Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia International Journal of Economics, Commerce, and Management
Rizky Fahmi Saputra
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Transformasi UMKM Tempe melalui Integrasi Penguatan Manajemen, Digitalisasi Usaha, dan Legalitas Berbasis Pendekatan ABCD di Kawasan Sanan Rizky Fahmi Saputra; Muhammad Naufal Aulia Maulana; Agung Winarno; Wening Patmi Rahayu
Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Vol. 4 No. 2 (2026): Mei: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
Publisher : FKIP, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/faedah.v4i2.1684

Abstract

This community service program aims to transform the management of tempeh MSMEs in the Sanan area through the integration of management strengthening, business digitalization, and legality based on the Asset-Based Community Development (ABCD) approach. The activities were carried out by combining the ABCD and Participatory Action Research (PAR) approaches through the stages of discovery, dream, design, and destiny, involving the active participation of business actors in every process. This approach emphasizes the utilization of local potential and community assets, enabling MSME actors to develop their businesses independently and sustainably. The results of the program indicate that the implementation of standard operating procedures (SOPs) and cross-training programs improved the consistency of production processes, work efficiency, and workforce flexibility in responding to changing production demands. In addition, the use of social media and business location tagging on digital platforms contributed positively to expanding market access and increasing product visibility. Assistance in copyright registration also strengthened the legality and protection of MSME products. Overall, this activity significantly enhanced the adaptive capacity of MSMEs in facing market dynamics and encouraged more structured, competitive, innovative, and sustainable business management.
The Epistemic Authorship Crisis in the Age of Generative AI: Overcoming the Responsibility Gap through Hyper Justification Obligations Rizky Fahmi Saputra; Mohammad Isa Wibisono; Agung Winarno; Subagyo Subagyo
International Journal of Economics, Commerce, and Management Vol. 3 No. 1 (2026): International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v3i1.1090

Abstract

The use of Large Language Models (LLMs) in scientific research is becoming increasingly widespread, but presents epistemic risks that are not yet fully understood. This article discusses how the probabilistic mechanisms of LLM can produce outputs that appear correct and justified but are actually dependent on epistemic luck, thus resembling the Gettier case pattern. Through a conceptual study approach, this research clarifies concepts, analytically reconstructs the generative structure of LLM, and conducts a normative analysis of its implications for scientific accountability and authorship. The results of the analysis show that Algorithmic Gettier Cases (AGCs) occur when linguistic coherence deceives users and creates the impression of justification, even though the truth that emerges is statistical coincidence and is not supported by valid causal relationships. This condition poses a serious challenge to the attribution of knowledge and author responsibility in the production of academic texts. To address this issue, this article proposes the principle of Hyper-Justification Obligation, which is the ethical obligation for researchers to actively verify and causally reason every AI output before using it in scientific works. This research provides a theoretical contribution to understanding the epistemic risks of LLM and offers an ethical foundation for academic practice in the era of generative AI.
Co-Authors Mohammad Isa Wibisono Muhammad Naufal Aulia Maulana Subagyo Subagyo Wening Patmi Rahayu