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All Journal Briliant: Jurnal Riset dan Konseptual Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Sistem Informasi, Manajemen, dan Akuntansi (SIMAK) Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Technologia: Jurnal Ilmiah Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Prosiding National Conference for Community Service Project JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) INFOKUM Infotech: Journal of Technology Information Djtechno: Jurnal Teknologi Informasi Journal of Information System and Technology (JOINT) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Innovative: Journal Of Social Science Research SmartComp Jurnal PETISI (Pendidikan Teknologi Informasi) J-CEKI Amanah Mengabdi
Eryc, Eryc
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Implications of AI Technology on Higher Level Education Development in Batam Eryc, Eryc; Nurdin Wijaya, William; Deu, Indasari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.3950

Abstract

This study examined artificial intelligence impact on higher education in Batam, focusing on its potential to improve teaching, learning, and administration while addressing concerns such as reduced human interaction and ethical dilemmas. The research aimed to provide insights into the effective integration of AI to enhance educational outcomes and promote innovation in Batam. Data from 331 college students in Batam were collected using Cluster Disproportional Random Sampling and analyzed through PLS-SEM, examining seven variables. Perceived Risk did not significantly impact Attitude, as students perceived AI uncertainty but remained unaffected, while Facilitating Conditions weakly influenced Behavioural Intention, likely due to students prioritizing other factors and having independent access to AI via personal devices. AI's impact on education showed that factors such as resources, ease of use, and performance shaped students perspective, although the study's limitations include a small sample size in each university and a lack of demographic diversity
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.
Integrating Quantitative Data Analytics and Qualitative Insights for Digital Marketing Strategy: A Structural Equation Modeling (SEM) Approach Suwarno, Suwarno; Susanto, Jhony; Eryc, Eryc
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 02 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid evolution of Batam digital economy presents a paradox: despite high digital channel adoption, many organizations report suboptimal returns on their online investments. This discrepancy highlights a critical research gap: The absence of an integrated, quantitative model that evaluates the collective impact of core data analytics dimensions on strategic performance within this specific context. This study examines how data analytics is pivotal for improving digital marketing outcomes. Adopting a dual-objective approach, it first quantitatively evaluates the effect of five fundamental analytics components on strategic performance, and second, qualitatively uncovers the primary obstacles and facilitators in their application. An explanatory sequential mixed-methods design was employed, commencing with a PLS-SEM analysis of survey data from 150 marketing practitioners in Batam (using a five-point Likert-scale instrument) and concluding with a thematic analysis of qualitative practitioner insights. Empirically, the results validate that all five dimensions (Website Performance, Social Media Metrics, Email Marketing Performance, Customer Data Analysis, and Customer Journey Analysis) significantly enhance the effectiveness of digital marketing strategy. Among these, Customer Journey Analysis was identified as the most powerful determinant (R² = 0.783, Q² = 0.634). The qualitative data elucidated critical implementation barriers such as talent shortages and disconnected data sources, while also highlighting vital success drivers including data-informed personalization. The study’s primary novelty lies in providing a validated, holistic SEM model that establishes the synergistic and hierarchical influence of analytics dimensions, with Customer Journey Analysis as the central pillar. Consequently, it furnishes both a theoretical advancement for scholarly discourse and a practical framework advocating for a strategic reorientation towards holistic customer journey management and the dismantling of data silos to optimize outcomes.
Co-Authors Anbarwati, Aini Iswanela Andrea Puspa, Dandhytya Anthony, Egan avaleska, avaleska Henry, Henry Indasari Deu Ingrid, Cyntia Jessy, Jessy Jhohari, Jhohari Mungkap Mangapul Siahaan Ng, Jackson Nurdin Wijaya, William Palguna, Arya Irawan Putra Raihan Raihan, Raihan Richmond, Derry Sabariman Sabariman Sama, Hendi Santoso, Didi Sarfilianty Anggiani, Sarfilianty Sibarani, Tiara Plorist Sihombing, Dame Afrina So, Vincent Steby, Steby Susanto, Jhony Suwarno Suwarno Syahputra, Bayu Syamsiar, Syamsiar Tjahyadi, Surya Valentinus, Sefryanto Vincent Vincent, Vincent Wildani, Lilian Nurul Zulkarnain Zulkarnain