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TECHNOVATE
Published by PT. KARYA GEMAH RIPAH
ISSN : -     EISSN : 30472466     DOI : https://doi.org/10.52432/technovate
Core Subject : Economy, Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management is a scientific journal that publishes original articles based on the latest knowledge, research, and applied research as well as the latest scientific developments in Information Technology, Enterprise-Oriented Solutions, Information System Development. The journal scope covers the academic and empirical studies on Information Technology with an orientation toward managerial approaches and guidelines. The areas of interest include in following subjects, but are not limited to: Managerial Implications of Information Systems Implementation Virtual and Networked Organizations Social Networks Electronic Business (e-Business) Electronic Commerce (e-Commerce) Electronic Government (e-Government) IT Implications for Change Management IT Project Management (ITPM) Information Technologies and Social Organization Organizational IT governance and control Organizational Learning (OL) Human-Computer Interaction (HCI) Ethics of Information Technology IT-Based Learning and Training including e-Learning, Blended Learning, and so on Information Management Software Validation and Verification Metrics Simulation Techniques and Systems Mobile Computing Government Information Systems Strategic Information Systems (SIS) IT Implications for Change Management IT Project Management (ITPM) Business Modeling, Requirement Management, System Analysis, Design, Implementation, Test, and Deployment
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 56 Documents
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A Profile Matching-Based Decision Support Framework for Selecting Generative AI Tools in Higher Education Pratistha, Indra; Anggaswara, Aditha Diva; Saputra, Gusti Bagus Arya; Krisna, I Gede Anugrah Adi; Sudipa, I Gede Iwan
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 1 (2026): January - February 2026
Publisher : PT.KARYA GEMAH RIPAH

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Abstract

This study aims to develop a decision-making model for determining the best AI application, specifically for students, in selecting the best alternative based on various criteria. This study used the Profile Matching Method to rank alternatives. Data was collected from students through an online survey, with criteria including ease of use (C1), task completion support (C2), creativity and idea support (C3), output quality and accuracy (C4), flexibility of use (C5), and access cost (C6). A decision-making analysis was conducted to determine the application that best suited students' preferences and identified the factors that most influenced their choice. The results showed the ChatGPT application alternative (A1) as the best student choice.
Algorithmic Forecasting of Tourist Mobility: Implementation of Fuzzy Time Series in High-Variability Aviation Data Gunawan, I Putu Eka Giri; Putra, I Putu Ade Rizki; Alamsyah, Lalu Ginanjar Hendru; Nugraha, Bagaskara Adi; Jehabut, Albertus Mariyodi
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 1 (2026): January - February 2026
Publisher : PT.KARYA GEMAH RIPAH

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Abstract

Accurate forecasting of tourist arrivals is a critical determinant for strategic planning and operational efficiency in island destinations. However, forecasting domestic tourist mobility through airport gateways, such as Lombok International Airport (LIA), presents a significant challenge due to the high volatility and non-linear characteristics of aviation data. Conventional statistical models often fail to capture these dynamic fluctuations effectively. To address this issue, this study proposes an algorithmic forecasting framework using the Fuzzy Time Series (FTS) Chen model. The methodology involves processing monthly arrival data through a structured sequence: defining the universe of discourse, partitioning intervals, fuzzification, establishing Fuzzy Logical Relationships (FLRs), and performing defuzzification. The model's performance was rigorously evaluated using the Mean Absolute Percentage Error (MAPE). Empirical results demonstrate that the FTS Chen algorithm is highly effective for stable datasets, achieving a forecasting accuracy with a MAPE as low as 9.23% for foreign tourist arrivals. In contrast, the model exhibited higher error rates for domestic tourist data, attributed to significant seasonal volatility and external shocks. These findings confirm that while the proposed soft computing approach is robust for detecting trends in stable tourism flows, highly fluctuating domestic markets may require hybrid optimization. Practically, this study provides airport authorities with a quantitative tool to anticipate visitor volume and optimize resource allocation in the post-pandemic era.
The Impact of Humanitarian Supply Chain Management Factors on Humanitarian Logistic Firm Performance; A Partial Least Squares Modeling Usman Bala kofar kudu
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 1 (2026): January - February 2026
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.3.1.2026.38-52

Abstract

This study addresses the critical problem of limited empirical evidence on how Humanitarian Supply Chain Management (HSCM) dimensions coordination, procurement, operation, and transparency—affect firm performance in humanitarian logistics. The need for the study arises from persistent inefficiencies in humanitarian operations, where resource constraints and fragmented processes hinder cost efficiency, goal achievement, operational effectiveness, and stakeholder satisfaction. The aim of the study is to evaluate the impact of these HSCM practices on firm performance in Nigerian humanitarian logistics firms. A quantitative research design was employed, with data collected from 278 managers across logistics firms in Borno State, Nigeria. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the measurement and structural models. The results reveal that transparency is the strongest predictor of performance, significantly improving cost efficiency (? = 0.384, p = 0.000), goal achievement (? = 0.291, p = 0.002), operational efficiency (? = 0.602, p = 0.000), and stakeholder satisfaction (? = 0.258, p = 0.009). Coordination also positively influenced cost efficiency (? = 0.263, p = 0.004) and stakeholder satisfaction (? = 0.185, p = 0.013), while operation significantly enhanced goal achievement (? = 0.299, p = 0.001). Procurement showed weak effects, with only a small positive impact on stakeholder satisfaction (? = 0.098, p = 0.000). In conclusion, the study establishes transparency as the most critical driver of humanitarian logistics performance, followed by coordination and operation, while procurement remains the least influential. These findings underscore the importance of investing in transparent practices and integrated supply chain mechanisms to strengthen efficiency, accountability, and stakeholder trust in humanitarian logistics.
The Mediating Effect of Leadership on the Relationship Between Humanitarian Supply Chain Management Factors and Performance of Humanitarian Logistic Firm Usman Bala kofar kudu
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 2 (2026): April 2026
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.3.2.2026.53-66

Abstract

Humanitarian logistics firms face persistent challenges in achieving efficiency, sustainability, and stakeholder satisfaction due to the complexity of supply chain operations and resource constraints. Previous studies have examined supply chain resilience, procurement, and sustainability but have often overlooked the mediating role of leadership in linking humanitarian supply chain management (HSCM) factors to organizational performance, creating a need for further investigation. The aim of this study was to examine the mediating effect of leadership on the relationship between HSCM factors coordination, procurement, operations, and transparency and the performance of humanitarian logistics firms in Borno State, Nigeria. A quantitative research design was adopted, with data collected through structured questionnaires from a sample of 278 managers determined using Krejcie and Morgan’s table and validated by G*Power analysis. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the hypothesized relationships. The results revealed that leadership measured through superior influence significantly mediated the effects of coordination and transparency on performance outcomes, including cost efficiency (O = 0.177, T = 3.170, p = 0.002), goal achievement (O = 0.200, T = 3.143, p = 0.002), operational efficiency (O = 0.197, T = 3.120, p = 0.002), and stakeholder satisfaction (O = 0.243, T = 3.113, p = 0.002). Transparency also showed strong mediation effects through superior influence on cost efficiency (O = 0.285, T = 3.965, p < 0.001), goal achievement (O = 0.320, T = 4.104, p < 0.001), operational efficiency (O = 0.315, T = 4.041, p < 0.001), and stakeholder satisfaction (O = 0.391, T = 4.112, p < 0.001). In contrast, leadership measured through strategic vision did not yield significant mediation effects across the tested relationships. The study concluded that superior influence is a critical leadership dimension in enhancing the impact of coordination and transparency on humanitarian logistics performance, while strategic vision alone is insufficient. These findings contribute to theory by positioning leadership as a mediating construct and provide practical implications for humanitarian organizations seeking to strengthen resilience, efficiency, and sustainability in complex operational environments.
Measures to Mitigate Valuation Inaccuracy in Residential Property Markets: An Empirical Investigation within the Study Areas Dangana Umar Saba
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 2 (2026): April 2026
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.3.2.2026.67-81

Abstract

Valuation inaccuracy is a problem that persists in the residential property markets, with its prevalence being particularly strong in developing countries where poor quality data, weak regulation and variance in professional practice hinder the effectiveness of the market. There has been significant variance between valuation information and market prices in Nigeria, despite limited attention toward identifying practical mitigation measures. We urgently need to progress from diagnosis of valuation error to evidence-based discovery of solutions that valuers, regulators and market participants can follow. This study fills that gap by examining those with a focus on mitigation measures in Nigerian residential property markets. This research was done to find out measures of adjustment that can reduce the inaccuracy in market valuation for quality residential housing in the research areas of Abuja and Minna (Nigeria). A quantitative research design was used. Population included all 179 registered Estate Surveying and Valuation (ESV) entities in Abuja (168) and Minna (11). Census sampling was utilized and all firms were enumerated. Data were gathered using structured questionnaires and analysed by descriptive statistics including means and standard deviations. The most prominent mitigation measures were the establishment of a valuation databank, adherence to valuation standards and guideline manuals, enhanced valuation education in tertiary institutions, greater enforcement of the NIESV code of conduct, and enhanced valuation practices. Componentizations of property valuation were the lowest in both study areas. To sum up, the way to resolve the issues of valuation inaccuracy among the Nigerian residential property markets involves an increase in the focus of data infrastructure development, compliance with standards, educational reform and regulatory enforcement. Findings offer actionable recommendations for professional bodies, regulatory and academic institutions wishing to enhance valuation accuracy.
Corporate Governance and Tax Avoidance: A Review of Contemporary Literature Gede Rudiharta Pratama Giri; Made Leo Radhitya; Ni Putu Eka Kherismawati; Ni Putu Widantari Suandana
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 3 (2026): July 2026
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.3.3.2026.121-128

Abstract

Corporate governance and tax avoidance have become increasingly important topics in accounting, finance, and management literature due to their implications for organizational transparency, accountability, and sustainability. This study aims to review and synthesize contemporary literature related to corporate governance and tax avoidance published between 2020 and 2025. Employing a qualitative approach through a Narrative Literature Review (NLR), the study examines dominant theoretical perspectives, corporate governance mechanisms, and contemporary challenges influencing corporate tax behavior. The findings indicate that Agency Theory remains the predominant framework for explaining tax avoidance practices, while board independence and audit committee effectiveness emerge as the most frequently discussed governance mechanisms. Furthermore, contemporary issues such as Environmental, Social, and Governance (ESG) practices, digital transformation, sustainability reporting, and international tax regulations have significantly shaped recent scholarly discussions. The review also reveals that tax avoidance is increasingly perceived as an issue of corporate legitimacy and stakeholder engagement rather than merely a financial concern. This study contributes to the literature by providing a comprehensive synthesis of recent developments and offering contemporary perspectives on the relationship between corporate governance and tax avoidance. The findings are expected to assist researchers, policymakers, and practitioners in understanding emerging issues and promoting more transparent and sustainable corporate tax practices.

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