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Analytics

Abel De Lando

Jurnal Sistem Informasi dan Ilmu Komputer 2026 International Forum of Researchers and Lecturers

This study aims to develop a strategic plan for Information Systems and Information Technology (IS/IT) at KR Hotel Palembang by applying the Ward and Peppard methodology. The analysis began with external environment assessment using the PEST framework and internal analysis through the MOST method and Value Chain model. The results were synthesized into a SWOT analysis to identify the organization's strengths, weaknesses, opportunities, and threats. From this, Critical Success Factors (CSF) were formulated to guide the determination of key information system needs. Application portfolio mapping was then conducted using the McFarlan Strategic Grid to classify systems based on their strategic impact. Findings indicate that KR Hotel has strong potential in leveraging digital technologies but faces challenges such as the absence of integrated systems across departments and limited IT training for staff. To address these issues, an integrated system named ZKBiolock was proposed, encompassing modules such as hotel management, financial management, customer relationship management (CRM), human resource training systems, digital promotion, and internal network monitoring and control. This strategic plan is supported by a comprehensive database design, network topology, human resource and infrastructure analysis, investment budgeting, and Return on Investment (ROI) evaluation. The proposed strategy aims to enhance the efficiency and effectiveness of the hotel's operational management.

Maria Yovita R Pandin; Alif Fa’is Nurfadila; Ahmad Fauzan Aditama; Dewa Wahyu Ananta; Rio Anggara Putra +1 more

International Journal of Economics, Management and Accounting 2026 Asosiasi Riset Ekonomi dan Akuntansi Indonesia

This study aims to analyze the effect of global diversification, exchange rates, and interest rates on the performance of mixed mutual funds in Indonesia during the period 2020–2024. The method used is a quantitative approach with the Partial Least Squares–Structural Equation Modeling (PLS-SEM) technique, using secondary data from the Financial Services Authority, Bank Indonesia, and Bareksa. The sample consists of three mixed mutual fund products that meet the criteria of portfolio data completeness, net asset value, and performance report publication. The results show that exchange rates have a positive and significant effect on mutual fund performance, indicating that exchange rate fluctuations play an important role in determining changes in portfolio returns. The global diversification variable proved to have no significant effect, illustrating that exposure to international markets has not provided stable benefits in improving the performance of mixed mutual funds. Interest rates also did not show a significant effect because the composition of mixed portfolios was able to withstand the impact of monetary policy changes. Simultaneously, the three independent variables were able to explain 66.7 percent of the variation in mixed mutual fund performance, indicating that macroeconomic dynamics and portfolio strategies have an important contribution in influencing the performance of this collective investment instrument.