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All Journal Co-Value : Jurnal Ekonomi, Koperasi & Kewirausahaan Jurnal Ekonomi, Teknologi dan Bisnis Insight : International Journal of social research
Wahyu Eko Saputro
Sekolah Tinggi Manajemen Informatika dan Komputer WIT
Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Sistem Agen AI (Agentic AI) sebagai Mitra Produktivitas UMKM di Indonesia Wahyu Eko Saputro
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 3 No. 8 (2024): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/qbtm4z53

Abstract

MSMEs are the backbone of the Indonesian economy, yet their productivity remains hampered by limited resources, digital readiness, and business process governance. The emergence of agentic AI, artificial intelligence-based agents capable of autonomously planning, remembering, and executing tasks, offers opportunities to reduce administrative burdens and improve workflow efficiency. This study aims to map the opportunities and barriers to implementing agentic AI in MSMEs, design an Agentic-MSME Alignment (AUA) framework, and examine its impact on productivity and service quality indicators. A mixed-methods approach was used, including surveys of 30 MSMEs in three major cities, in-depth interviews with 10 MSMEs, observations of AI prototype implementations, and system log analysis. Data were analyzed using paired sample t-tests and thematic analysis to validate the results. The findings show significant improvements in time efficiency, sales, and customer satisfaction. Interviews confirmed that the greatest benefits were accelerated customer response and reduced administrative burden, although concerns were raised about data privacy and output errors. The integration of the AUA framework has been shown to strengthen transparency, reduce administrative errors, and encourage a new division of labor between AI and humans. This study provides empirical evidence that agentic AI can be a productivity partner for MSMEs, provided there is increased digital literacy, ethical governance, and community support. This research contribution not only broadens academic knowledge on AI in MSMEs but also offers practical guidance for developing inclusive digital transformation policies and strategies in Indonesia.
Adaptasi Sistem Pengendalian Manajemen Pada UMKM Dalam Menghadapi Ketidakpastian Lingkungan Bisnis Wahyu Eko Saputro; Aceng Abdul Hamid
Co-Value Jurnal Ekonomi Koperasi dan kewirausahaan Vol. 16 No. 12 (2026): Co-Value: Jurnal Ekonomi, Koperasi & Kewirausahaan
Publisher : Program Studi Manajemen Institut Manajemen Koperasi Indonesia Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/dyhxkg95

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memegang peran strategis dalam perekonomian Indonesia dengan kontribusi 60,5% terhadap PDB dan menyerap 97% tenaga kerja nasional. Namun, tingginya ketidakpastian lingkungan bisnis akibat dinamika pasar, perubahan regulasi, dan disrupsi teknologi menjadi ancaman nyata bagi kelangsungan UMKM yang umumnya belum memiliki SPM yang memadai. Penelitian ini bertujuan menganalisis pengaruh ketidakpastian lingkungan bisnis terhadap adaptasi SPM pada UMKM, mengidentifikasi peran mediasi adaptasi SPM terhadap kinerja UMKM, serta mengembangkan model adaptasi SPM yang sesuai dengan karakteristik UMKM Indonesia. Penelitian menggunakan pendekatan kuantitatif berbasis survei. Data primer dikumpulkan melalui kuesioner dari 215 pemilik dan manajer UMKM di Jawa, Sumatera, dan Bali yang terdaftar di Dinas Koperasi dan UKM. Analisis data menggunakan PLS-SEM dengan SmartPLS 4.0. Ketidakpastian lingkungan bisnis berpengaruh positif dan signifikan terhadap adaptasi SPM (β = 0,487; p < 0,001). Adaptasi SPM terbukti memediasi hubungan antara ketidakpastian lingkungan dan kinerja UMKM (β mediasi = 0,254; p < 0,001). Penelitian ini menghasilkan model ASPE (Adaptive MCS for SME Performance Enhancement) sebagai kerangka praktis bagi pengembangan SPM pada UMKM Indonesia.
The Role of Digital Literacy in Reducing Disinformation in the Social Media Era Wahyu Eko Saputro
International Journal of Social Research Vol. 3 No. 3 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i3.66

Abstract

The development of social media in Indonesia has massively increased access to public information, but it also presents a serious challenge in the form of disinformation that has the potential to undermine social cohesion and democracy. Digital literacy is seen as a strategic ability that can protect the public from exposure to false information. This study aims to analyze the role of digital literacy in reducing people's vulnerability to disinformation on social media, focusing on identifying the level of digital literacy, the relationship between digital literacy and disinformation vulnerability, and strategies to increase digital literacy. This study uses a quantitative approach with an explanatory survey design. A sample of 400 respondents was determined through purposive sampling with the criteria of active social media users. The research instrument is in the form of an online questionnaire that measures the dimensions of digital literacy and vulnerability to disinformation. Data were analyzed using descriptive statistics, Pearson correlation, and multiple linear regression. The results showed that most respondents were in the "adequate" digital literacy category, with the greatest strengths in the technical dimension and weaknesses in the critical dimension. Correlation analysis found a significant negative association between digital literacy and vulnerability to disinformation (r = -0.47; p < 0.05). In addition, digital literacy has been shown to influence information sharing behavior on social media, where respondents with high literacy are more selective and rarely disseminate content without verification. This research emphasizes the importance of strategies to strengthen digital literacy that include technical, evaluative, social, and ethical dimensions.
Co-Authors Aceng Abdul Hamid