Article Per Year (5 Year)
p-Index From 2021 - 2026
0.835
P-Index
This Author published in this journals
All Journal Gotong Royong Data : Journal of Information Systems and Management Summa : Journal of Accounting and Tax Novatio : Journal of Management Technology and Innovation Harmonia : Journal of Music and Arts
Aryo Nugroho
Universitas PGRI Adi Buana Surabaya
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Performance Expectancy, Perceived Risk, and Organizational Support in Hotel Managers’ Generative AI Adoption Intentions in Semarang Maharsa Pradityatma; Aryo Nugroho
Data : Journal of Information Systems and Management Vol. 4 No. 3 (2026): July 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v4i3.2005

Abstract

Generative artificial intelligence (AI) offers potential assistance with hotel managerial work, but prospective use may depend on expected benefits, perceived risks, and workplace support. This study examined these three factors jointly in relation to hotel managers’ generative AI adoption intentions in Semarang, Indonesia. A cross-sectional, purposively specified survey dataset contained 220 managers and 16 five-point questionnaire items, with recorded survey dates from December 2025 to February 2026. Reflective Mode A partial least squares structural equation modeling was estimated, with 10,000 bootstrap resamples and repeated ten-fold holdout assessment. Performance expectancy was positively associated with intention (β = 0.456, 95% CI [0.358, 0.552]), perceived risk was negatively associated (β = −0.225, 95% CI [−0.326, −0.127]), and organizational support was positively associated (β = 0.263, 95% CI [0.161, 0.361]); all p values were below .001. The model explained 43.1% of intention variance, and item-level holdout Q²_predict values ranged from 0.250 to 0.350. Performance expectancy had the largest conditional effect size. The findings support examining expected work benefits alongside risk appraisal and technology-specific organizational support. They concern stated intentions rather than observed adoption or performance. Hotels may consider task-focused demonstrations, learning support, and guidance for reviewing AI outputs. Cross-sectional self-report measurement, nonprobability sampling, and unavailable verification of hotel membership limit causal and organizational inference.
Generative AI Acceptance, Perceived Artistic Authenticity, and Creative Intentions among Jakarta Digital Artists Almighty C. Tabuena; Aryo Nugroho; Anisah Mutiara Zahra Hanifah
Harmonia : Journal of Music and Arts Vol. 4 No. 3 (2026): August 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/harmonia.v4i3.2020

Abstract

The rapid integration of generative AI in digital creative workflows has raised questions about technology acceptance and artistic identity. This cross-sectional explanatory survey investigated how generative AI acceptance (GAA) and perceived artistic authenticity (PAA) jointly predict creative intentions (CI) among digital artists and illustrators in Jakarta. Data were collected from 200 participants across all five administrative areas of Jakarta between March and June 2026, using a 15-item Likert-scale questionnaire. Multiple linear regression with heteroscedasticity-consistent standard errors (HC3) served as the primary analytic approach. Both GAA (B = 0.480, β = 0.487, 95% CI [0.364, 0.596], p < .001) and PAA (B = 0.243, β = 0.231, 95% CI [0.114, 0.372], p < .001) were positively and significantly associated with creative intentions. The full model explained 38.7% of variance in CI (adjusted R² = 0.368), with both predictors accounting for an additional 36.8% of variance beyond control variables (ΔR² = 0.368, F-change = 57.88, p < .001), while the control-only model showed negligible explanatory power. These findings demonstrate that acceptance attitudes and authenticity perceptions function as distinct and additive correlates of AI-assisted creative intentions, contributing to the understanding of technology acceptance in artistic practice. Practical implications for art education and community training are discussed.
Invoice Verification Competence, System Alerts, and Duplicate Invoice Detection Accuracy: Accounts Payable in Semarang Ary Dwi Jatmiko; Aryo Nugroho
Summa : Journal of Accounting and Tax Vol. 4 No. 3 (2026): July 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/summa.v4i3.2022

Abstract

Duplicate invoice payments pose a significant control risk in accounts payable, yet empirical evidence on the relative contributions of staff competence and system alerts to detection accuracy remains limited. This parallel-group randomized experiment (N = 120; n = 60 control, n = 60 alerts; 15 wholesale distribution firms in Semarang, Indonesia) examined whether invoice verification competence and randomized alert access predicted accurate duplicate detection. Participants completed a 20-item competence assessment (KR-20 = .764) and classified 40 invoice candidates (16 duplicates, 24 legitimate) in a standardized interface; the alert system operated at 75% sensitivity and 83.3% specificity. The primary analysis used mixed logistic regression with crossed random effects and Holm correction. Competence was significantly associated with classification accuracy (OR = 1.346 per 10 points, 95% CI [1.284, 1.411], p < .001), confirming H1. Alert access did not significantly improve overall accuracy (OR = 1.130, 95% CI [0.951, 1.342], p = .164), not confirming H2; however, alerts significantly increased duplicate detection sensitivity (OR = 1.548, 95% CI [1.189, 2.017], p = .001) without altering specificity for legitimate invoices. No competence × alert interaction was detected. These findings underscore the primacy of workforce competence in invoice verification and highlight the need to evaluate alert systems against both duplicate detection and legitimate invoice acceptance outcomes.
Innovation Climate, Employee Collaboration, and Innovative Work Behavior in Technology-Oriented Service Firms in Kendari Abdul Rahim Zumrah; Azlyn Ahmad Zawawi; Andi Sismar; Sudirman; Sopian; Aryo Nugroho
Novatio : Journal of Management Technology and Innovation Vol. 4 No. 1 (2026): January 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v4i1.1978

Abstract

Innovative work behavior (IWB) is essential for technology-oriented service firms, yet its relationship with organizational climate and employee collaboration remains insufficiently explored. This study examined the associations between innovation climate, employee collaboration, and IWB among employees of technology-oriented service firms in Kendari, Indonesia. A quantitative cross-sectional survey involved 210 purposively selected employees between August and December 2025. Data were collected using a five-point Likert-scale questionnaire and analyzed through Pearson correlation and multiple linear regression using IBM SPSS Statistics 30. Both innovation climate (r = .56, p < .001) and employee collaboration (r = .50, p < .001) were positively correlated with IWB. Regression results indicated significant positive associations for innovation climate (β = .43) and employee collaboration (β = .34), with the model explaining approximately 40% of IWB variance (adjusted R² = .40, F(2, 207) = 71.38, p < .001). Innovation climate demonstrated a stronger association with IWB than collaboration. These findings highlight the importance of supportive organizational environments and collaborative practices in fostering employee innovation, although causal relationships cannot be established from the cross-sectional design.
Pelatihan Meningkatkan Keterampilan Pemrograman Menggunakan Permainan Edukasi untuk Siswa Sekolah Dasar Harits Ar Rosyid; Dwi Hastuti; M. Zainal Arifin; Aryo Nugroho; Wildan Surya Wijaya; Arief T. P. Sadewa; Ika Maylani
Gotong Royong Vol. 3 No. 3 (2026): In Press
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/gr.v3i3.403

Abstract

Keterampilan pemrograman sejak usia sekolah dasar dapat membantu siswa berpikir secara komputasional seperti penalaran logis, pemecahan masalah, dan kemampuan menyusun langkah secara sistematis. Namun, konsep pemrograman sering terasa abstrak bagi pemula apabila hanya disampaikan melalui penjelasan verbal atau latihan sintaks. Penelitian pengabdian kepada masyarakat ini bertujuan memberikan pelatihan pemrograman menggunakan permainan edukasi yang menempatkan siswa sebagai peserta aktif dalam menyelesaikan tantangan bertahap. Metode yang digunakan adalah pelatihan partisipatif dimana siswa belajar melalui demonstrasi singkat, praktik langsung, kolaborasi, dan refleksi. Kegiatan dirancang melalui tahap identifikasi kebutuhan, pengenalan konsep algoritmik, demonstrasi permainan, praktik berpasangan atau kelompok kecil, tantangan mandiri, serta evaluasi dan refleksi. Materi inti meliputi urutan instruksi, pola, pengulangan, kondisi sederhana, dan proses menemukan serta memperbaiki kesalahan. Evaluasi menggabungkan tes awal dan tes akhir, rubrik tugas praktik, observasi keterlibatan, serta tanggapan peserta. Hasil dari kegiatan ini memberikan dampak positif yang signifikan terhadap peningkatan keterampilan pemrograman dasar, keterlibatan siswa, serta keberhasilan dalam menyelesaikan tantangan. Hal ini sejalan dengan literatur terkini menunjukkan bahwa permainan edukasi dan gamifikasi berpotensi mendukung motivasi dan pemahaman konsep pemrograman, meskipun dampaknya dipengaruhi desain aktivitas dan kesesuaian permainan dengan tujuan belajar.
Co-Authors Abdul Rahim Zumrah Almighty C. Tabuena Andi Sismar Anisah Mutiara Zahra Hanifah Arief T. P. Sadewa Ary Dwi Jatmiko Azlyn Ahmad Zawawi Dwi Hastuti Harits Ar Rosyid Ika Maylani M. Zainal Arifin Maharsa Pradityatma Sopian Sudirman Wildan Surya Wijaya