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All Journal Bulletin of Electrical Engineering and Informatics Applied Information System and Management Journal of Information Systems and Informatics Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Pekayunan
Baiq Yulia Fitriyani
STMIK Lombok
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Linking IT Governance to Organizational Performance in Higher Education: The Role of Digital Capability and Organizational Agility Amrullah Amrullah; Khairul Imtihan; Baiq Yulia Fitriyani; Mardi; Muhamad Rodi
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1581

Abstract

This study examines how IT governance contributes to organizational performance through information systems (IS) success, digital capability, and organizational agility in higher education institutions. It addresses a critical gap by exploring why improvements in IT governance and system quality do not always translate into higher organizational capabilities and performance. A quantitative survey was conducted with 342 respondents from higher education institutions in Nusa Tenggara Barat (NTB), Indonesia, and analyzed using PLS-SEM. The results show that IT governance significantly improves system, information, and service quality. However, these dimensions do not significantly influence digital capability, and digital capability does not significantly affect organizational agility. Instead, organizational agility is the only construct that significantly enhances organizational performance, while IT governance shows no direct effect. These findings suggest that IT value creation is not linear but depends on the organization’s ability to translate technological resources into adaptive capabilities. This study provides empirical evidence on the indirect role of IT governance and offers a contextual clarification of IS success and digital capability relationships within NTB higher education institutions.
Modeling Generative AI Adoption in Higher Education: The Role of Interface Quality, Algorithmic Transparency, and Trust in Human-AI Interaction Baiq Yulia Fitriyani; Khairul Imtihan; Amrullah; Maulana Ashari; Wire Bagye
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1598

Abstract

This study examines generative artificial intelligence (AI) adoption in higher education by integrating interface quality, algorithmic transparency, and trust within a Human-AI Interaction framework. The study addresses limitations of traditional technology acceptance models, which often overlook psychological and relational factors in AI-enabled environments. Data were collected through a cross-sectional survey of 195 respondents, including students, lecturers, and administrative staff from higher education institutions in West Nusa Tenggara, Indonesia, within a cross-sectional regional sample, and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that Trust in AI is the strongest predictor of Behavioral Intention (β = 0.623, p < 0.001), followed by Perceived Usefulness (β = 0.270, p < 0.05). Interface Quality significantly affects Perceived Ease of Use (β = 0.803), while Algorithmic Transparency strongly influences Perceived Control (β = 0.824) and Perceived Usefulness (β = 0.562). AI Anxiety was not found to have a significant direct or moderating effect. The model demonstrates substantial explanatory power (R² = 0.710) and strong predictive relevance. This study proposes an integrated dual-path model combining cognitive and affective mechanisms to explain generative AI adoption in higher education. The findings emphasize that AI systems should be designed not only for functionality, but also for trust, transparency, and user confidence.
PENINGKATAN KEMAMPUAN MAHASISWA DALAM MENYUSUN JUDUL PENELITIAN BERKUALITAS MELALUI WORKSHOP STRUKTUR ARTIKEL ILMIAH BERBASIS PRAKTIK Baiq Yulia Fitriyani; Amrullah; Muhamad Rodi; Mardi; Khairul Imtihan; Wire Bagye
Jurnal Pekayunan Vol. 2 No. 1 (2026): PEKAYUNAN Maret - Juli 2026
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/30nm9p87

Abstract

Kemampuan menyusun judul penelitian yang berkualitas merupakan keterampilan awal yang penting dalam penulisan artikel ilmiah mahasiswa. Namun, banyak mahasiswa masih mengalami kesulitan dalam merumuskan judul yang fokus, relevan, dan sesuai dengan struktur artikel ilmiah, terutama dalam mengaitkan topik penelitian dengan masalah, objek kajian, metode, research gap, dan novelty. Kegiatan pengabdian ini bertujuan untuk meningkatkan kemampuan mahasiswa dalam memahami struktur artikel ilmiah dan menyusun judul penelitian berkualitas melalui workshop berbasis praktik. Kegiatan dilaksanakan di Ruang Riset STMIK Lombok dengan melibatkan 23 mahasiswa dari Program Studi Sistem Informasi dan Teknik Informatika yang terdiri dari semester 2, 4, dan 6. Metode kegiatan menggunakan pendekatan workshop berbasis praktik melalui tahapan identifikasi kebutuhan, perancangan materi, pelaksanaan pretest, penyampaian materi, praktik penyusunan judul, posttest, serta evaluasi luaran kegiatan. Hasil evaluasi menunjukkan adanya peningkatan pemahaman peserta, yang ditunjukkan oleh kenaikan rata-rata nilai pretest dari 7,3 menjadi 8,9 pada posttest, dengan peningkatan sebesar 1,6 poin atau 21,92%. Selain itu, peserta menunjukkan keterlibatan aktif dalam diskusi dan mulai mampu menyusun draft judul penelitian yang lebih spesifik dan terarah. Dengan demikian, workshop struktur artikel ilmiah berbasis praktik efektif dalam meningkatkan kemampuan mahasiswa menyusun judul penelitian berkualitas dan dapat menjadi model pembinaan akademik dalam mendukung budaya menulis ilmiah di perguruan tinggi.
Integrating Technology Acceptance and Government Trust to Explain Public Engagement on Social Media: An IPMA-Based Study in Local E-Government Communication Khairul Imtihan; Muhamad Rodi; Wire Bagye; Baiq Yulia Fitriyani
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46660

Abstract

In the digital transformation era, local governments increasingly use social media to foster transparency, disseminate information, and enhance civic participation. However, challenges remain in ensuring consistent public engagement and user satisfaction, especially in regions with limited digital literacy and uneven access to infrastructure. This study investigates the key determinants of user satisfaction, engagement, and continuance intention in local government social media platforms, with a specific focus on Central Lombok, Indonesia, a rural region facing significant digital inclusion gaps. The research combines the Technology Acceptance Model (TAM), which focuses on how easy and useful a system is, with the e-Government Adoption Model (e-GAM), which looks at factors like trust in the government, transparency, how interactive the platform is, and perceived risks. A survey of 557 users was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance Performance Map Analysis (IPMA), showing that user satisfaction is greatly affected by how easy the platform is to use and how much users trust it. Digital literacy, interactivity, and institutional trust further shape these perceptions. Interestingly, perceived usefulness and perceived risk did not show strong direct effects, which was surprising and might be due to regular usage habits and dependence on institutional signals in rural areas. IPMA results indicate that interactivity, user trust, and digital literacy are high-impact yet underperforming areas, warranting strategic attention. The study makes progress in theory by merging behavioral and institutional models and provides practical suggestions for improving two-way communication, building public trust, and encouraging digital skill development to boost meaningful participation in local digital governance.
Analisis Sentimen Berbasis Aspek pada Ulasan Google Maps Sirkuit Mandalika Menggunakan IndoBERT dan Model Klasik Muhammad Faozi; Jihadul Akbar; Baiq Yulia Fitriyani
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 5 (2026): September : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inf
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i5.1555

Abstract

The Pertamina Mandalika International Circuit is a major tourism destination in Lombok. This study develops an aspect-based sentiment analysis (ABSA) system extracting sentiment from 1,772 valid Google Maps reviews filtered from 4,671 raw reviews, covering nine aspects defined via topic modeling and keyword validation. A two-stage IndoBERT pipeline is applied with Focal Loss, mean pooling, a differential learning rate, Back-Translation augmentation, and 5-fold cross-validation with per-aspect threshold tuning. The final model achieves a macro-F1 of 0.882 for aspect detection (accuracy 0.976; exact match accuracy 82.58%; hamming loss 0.024) and a macro-F1 of 0.87 for sentiment classification. Against classical TF-IDF baselines, IndoBERT (macro-F1 0.882) outperforms a linear Support Vector Machine (0.727) and Logistic Regression (0.711) on aspect detection, though a McNemar test shows the gap versus SVM is not statistically significant (p = 0.104), while the gap between SVM and Logistic Regression is significant (p = 0.001). Because labels are produced via weak supervision, additional validation is conducted using human annotation on 313 reviews (17.7% of the data); inter-annotator agreement (Cohen's Kappa) for aspect detection is very low (κ = 0.159), indicating that weak-supervision metrics may not directly reflect ground-truth sentiment accuracy. Venue (41.5%), Scenery (29.9%), and Organization (18.4%) are the most frequently discussed aspects in the reviews. The findings are translated into an actionable promotion strategy matrix, though larger-scale human validation remains necessary before direct application.
Optimizing academic information systems: linking interface design with user satisfaction and loyalty Khairul Imtihan; Mardi Mardi; Amrullah Amrullah; Baiq Yulia Fitriyani; Muhamad Rodi
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.10160

Abstract

Academic information systems (AIS) play a crucial role in supporting academic and administrative processes in higher education institutions. Despite their widespread adoption, sustained user engagement remains a challenge, often linked to usability and system responsiveness issues. This study integrates the technology acceptance model (TAM) with experiential interface dimensions visual quality (VQ) and user interface responsiveness (UIR) to examine their influence on user satisfaction (US) and loyalty within AIS environments. Data were collected from 432 active AIS users across 12 Indonesian universities and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that perceived ease of use (PEOU) and perceived usefulness significantly enhance US, which in turn strongly predicts user loyalty (UL). System responsiveness demonstrates a substantial influence on perceived usability, while usability exerts both direct and indirect effects on long-term user commitment. Although VQ contributes positively to usability perceptions and satisfaction, its direct role in sustaining loyalty is comparatively limited. Importance–performance map analysis (IPMA) further identifies PEOU and UIR as the most strategic priorities for improving long-term engagement. By extending TAM with experiential interface factors, this study offers a more comprehensive framework for understanding AIS adoption and provides practical guidance for designing user-centered, performance-driven AIS.
User Acceptance of E-Kinerja for Employee Additional Income Policy: A TAM Study in Central Lombok Baiq Amelia Suroyani; Sofiansyah Fadli; Baiq Yulia Fitriyani
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1725

Abstract

The increasing emphasis on professionalism, accountability, and performance management among State Civil Apparatus (ASN) has encouraged government institutions to adopt digital performance systems. This study examines user acceptance of the e-Kinerja application supporting the Employee Additional Income (TPP) policy at the Environmental Agency of Central Lombok Regency using the Technology Acceptance Model (TAM). A quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0.9.9 was applied to questionnaire data from 41 ASN employees. The model included Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual Use (AU), with AU measured through self-reported indicators rather than system-generated logs. The measurement model demonstrated satisfactory reliability and convergent validity, although several HTMT values exceeded the recommended threshold. Structurally, PEOU significantly affected PU (β = 0.826; p < 0.001), PU affected ATU (β = 1.070; p < 0.001), ATU affected BI (β = 0.842; p < 0.001), and BI affected AU (β = 0.823; p < 0.001), whereas PEOU did not significantly affect ATU (β = −0.346; p = 0.212). The model explained 68.2% of PU, 65.3% of ATU, 70.9% of BI, and 67.7% of AU. The findings indicate that e-Kinerja acceptance is primarily driven by perceived usefulness, attitudes, and behavioral intention. Practical improvements should emphasize TPP transparency, real-time feedback, data accuracy, simplified reporting, user training, and technical assistance to support adoption.
Co-Authors Amrullah Amrullah Amrullah Baiq Amelia Suroyani Jihadul Akbar Khairul Imtihan Mardi Mardi Mardi Maulana Ashari Muhamad Rodi Muhammad Faozi Sofiansyah Fadli Wire Bagye