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Teknologi Informasi, Media Sosial, dan Transformasi Digital Terhadap Performa Usaha UMKM Laundry di Kota Batam Tjahyadi, Surya; Claudia Erica, Cindy; Sama, Hendi
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9545

Abstract

This study examines the effects of information technology, social media, and digital transformation on the business performance of laundry MSMEs in Batam City using a quantitative associative approach. Data were collected from 94 owners or managers of laundry MSMEs through questionnaires and analyzed using IBM SPSS Statistics 25. Classical assumption tests indicated that the data were normally distributed and free from multicollinearity and heteroscedasticity. Simultaneous testing showed that information technology, social media, and digital transformation jointly have a significant effect on business performance (F = 4.588; p = 0.005). However, partial test results revealed that only social media has a positive and significant effect on business performance, while information technology and digital transformation do not show significant effects. These findings suggest that in small-scale service MSMEs, market-oriented digital tools are more effective in improving business performance than complex internal technology adoption.
The Implementation of Digital Marketing in Culinary SMEs in Batam Using the SOSTAC Framework Eryc, Eryc; Tan, Sylvester; Tjahyadi, Surya
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 16, No 2 (2025): Desember
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v16i2.4598

Abstract

This study examines the implementation of the SOSTAC digital marketing framework and its influence on marketing performance among culinary SMEs in Batam. Using a quantitative explanatory approach, data were collected from 140 SME owners through structured questionnaires and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings indicate that the SOSTAC framework has a strong and significant positive effect on marketing performance, demonstrating that structured planningfrom situation analysis to control enhances sales, customer engagement, market reach, and brand awareness. Unlike previous studies that only explore general digital marketing activities or single-channel strategies, this research provides a comprehensive empirical test of the full SOSTAC framework in the SME culinary sector, which has been largely underexplored.Additionally, this study uniquely examines how resource constraints moderate the SOSTAC performance relationship, offering new insights into how limited budgets, skills, and labor capacity shape the effectiveness of structured digital planning. Although resource constraints such as limited budgets, digital skills, and workforce capacity do not directly affect marketing performance, they significantly moderate the relationship between SOSTAC implementation and performance, weakening its positive impact. The model explains 53.2% of the variance in marketing performance, reflecting moderate explanatory power. The study highlights the importance of structured digital marketing planning while underscoring the need to manage resource limitations effectively to maximize outcomes. The findings offer practical direction for SMEs by highlighting the need to adopt structured digital planningsuch as setting measurable monthly objectives, choosing the most effective social media channels, and consistently monitoring key performance indicators to maximize the benefits of SOSTAC under limited resources
Evaluating the effectiveness of Cloud-Based ERP Systems in Supply Chain Management in Manufacturing Steby, Steby; Eryc, Eryc; Tjahyadi, Surya
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 7 No. 1 (2026): JURNAL PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v7i1.4174

Abstract

Penelitian ini mengevaluasi efektivitas penerapan Enterprise Resource Planning (ERP) berbasis cloud dalam mendukung Supply Chain Management (SCM) pada sektor manufaktur di Batam. Latar belakang penelitian adalah rendahnya tingkat adopsi ERP cloud di Batam meskipun teknologi ini terbukti meningkatkan efisiensi di berbagai negara. Pendekatan kuantitatif digunakan dengan model Technology Acceptance Model (TAM), memfokuskan pada variabel perceived usefulness (PU) dan perceived ease of use (PEOU). Data dikumpulkan dari 50 responden melalui kuesioner, kemudian dianalisis menggunakan uji validitas, reliabilitas, dan regresi. Hasil penelitian menunjukkan PU dan PEOU berpengaruh positif signifikan terhadap acceptance, yang selanjutnya memengaruhi efektivitas SCM. Acceptance juga terbukti memediasi hubungan PU dan PEOU terhadap efektivitas ERP cloud. Temuan ini menegaskan bahwa keberhasilan implementasi ERP cloud tidak hanya bergantung pada faktor teknis, tetapi juga penerimaan pengguna. Perusahaan manufaktur di Batam perlu mengatasi hambatan seperti resistensi budaya, biaya, keterbatasan infrastruktur TI, dan kebutuhan pelatihan agar manfaat ERP cloud dapat dimaksimalkan.
Assessing Assessing Students’ Ethical Concerns in AI-Integrated Online Learning Systems: A Study in Batam City Hendi Sama; Julianto; Surya Tjahyadi
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 1 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika.
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i1.69

Abstract

The adoption of Artificial Intelligence (AI) in online education introduces ethical concerns related to accuracy, fairness, and accountability. This study examines students’ ethical concerns of AI-integrated learning systems, focusing on AI-generated materials, attendance monitoring, and chatbot interactions. A mixed-method approach combining qualitative and quantitative techniques was used, involving interviews with 48 students from three different educational levels in Batam City. Thematic analysis identified five dominant themes. These included AI as a useful yet unreliable learning assistant, concerns about fairness in AI-based monitoring, uncertainty regarding responsibility and accountability, the need for transparent institutional policies, and limited AI literacy leading to overreliance. The study reports its findings using percentage-based distributions to illustrate the prevalence of these concerns across educational levels. The results indicate that students’ acceptance of AI in online learning is closely tied to the presence of human oversight, transparent institutional policies, and clearly defined accountability mechanisms. The novelty of this study lies in its focus on a pre-adoption educational environment, where AI is not yet fully institutionalized. Unlike prior studies examining post-implementation contexts, this research captures students’ anticipatory ethical expectations, highlighting concerns often overlooked in retrospective evaluations. The study contributes by providing empirical evidence across educational levels, offering localized insights from a developing Indonesian city, and extending AI ethics research beyond technology-advanced settings. The findings emphasize the importance of human oversight, accountability mechanisms, and transparent institutional policies for ethically grounded AI governance in education.