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Optimizing Graduate Competitiveness through Service with Mathematical Economics and OBE: Optimalisasi Daya Saing Lulusan melalui Pengabdian dengan Matematika Ekonomi dan OBE Yusup, Muhamad; Sihotang, Sondang Visiana; Sunengsih, Meriyana; Devi, Lakshmi; Sunarya, Po Abas
ADI Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v5i2.1221

Abstract

University graduates face the challenge of possessing high competitiveness in the increasingly competitive global job market, especially amidst rapid technological advancement and digitalization. To address this, the implementation of Outcome-Based Education (OBE), which focuses on measurable competency achievements, and economic mathematics as part of the higher education curriculum, can be a strategic solution. This study aims to examine the optimization of graduate competitiveness through community service by integrating OBE and economic mathematics into university curricula, as well as its impact on graduates' readiness to face workplace challenges. A descriptive qualitative approach was employed, with data collection techniques including policy document analysis, in-depth interviews with education stakeholders, and case studies at universities that have integrated both approaches. The findings show that the implementation of OBE and integration of economic mathematics into the curriculum can enhance students' practical competencies, strengthen data-based decision-making and analytical abilities, and improve students' readiness for industry employment. This community service contributes significantly to universities in designing curricula that are more responsive to the global job market needs while also enhancing graduates' competitiveness at the international level. Programs such as the Raharja Enrichment Program (REP), which provide industry experience, also proved to enhance students' work readiness. 
Big Data Analytics and Online Promotional Strategies to Boost Digital Business Sales: Analisis Big Data dan Strategi Promosi Online untuk Meningkatkan Penjualan Bisnis Digital Nurhaeni, Tuti; Azka, Refa; Arasid, Nova Syahrani; Sunengsih, Meriyana; Evans, Richard
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1242

Abstract

In todays competitive and dynamic digital business landscape, the utilization of Big Data Analytics (BDA) and online promotional strategies has become a critical factor in driving sales growth and sustaining competitive advantage. This study aims to analyze how the integration of BDA with digital promotional strategies can enhance the effectiveness of marketing campaigns and support more strategic decision-making in online business management. Employing a mixed-methods approach, the research combines quantitative data from a survey of 120 digital business managers and qualitative insights from in-depth interviews with decision-makers in the e-commerce and startup sectors. The findings reveal that the implementation of BDA enables companies to identify consumer trends, personalize promotions in real time, and optimize marketing budget allocation. Data-driven promotional strategies have proven to be more adaptive and directly impact the improvement of conversion rates and customer loyalty. However, challenges such as the complexity of data system integration, short-ages in analytical talent, and concerns over consumer privacy present significant barriers that require strategic management. This study underscores that synergy between analytical capabilities and measurable digital promotion is essential to achieving sustainable sales growth in the digital era. The results offer practical contributions for industry practitioners and academics in designing marketing approaches that are data-driven and outcome-oriented. By highlighting both the opportunities and obstacles in integrating BDA with digital marketing strategies, this research emphasizes the need for aligning technological advancement with organizational readiness and strategic focus to fully leverage the benefits of big data in modern business operations.
Assessing the Environmental and Economic Effects of Smart Grid Integration Using SEM Evans, Richard; Oganda, Fitra Putri; Setiawan, Mohamad Agus; Nurjanah, Lina; Sunengsih, Meriyana
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.934

Abstract

The global shift toward renewable energy has intensified the need for intelligent energy management systems capable of addressing variability in power supply and optimizing system-wide performance. Smart grid technologies have emerged as a key enabler in achieving sustainable, efficient, and data-drivenvenergy distribution. This study employs a quantitative approach using Structural Equation Modeling (SEM) via SmartPLS to analyze data collected from stakeholders involved in renewable energy deployment, utility operations, and smart grid implementation. The model evaluates the relationships between smart grid integration, environmental performance, and economic outcomes. The primary aim of this research is to assess how smart grid adoption influences carbon emission reduction, energy efficiency enhancement, and cost optimization within renewable energy ecosystems. The SEM analysis indicates a statistically significant positive effect of smart grid integration on both environmental and economic indicators. Smart grid implementation improves energy efficiency by more than 30%, while operational cost savings reach up to 25% over extended periods. Carbon emission reduction is identified as a key mediating factor within the model, reinforcing the ecological benefits of smart grid adoption. The findings demonstrate that smart grid technologies contribute substantially to both sustainability and economic resilience in renewable energy management. The study provides actionable insights for energy policymakers, grid operators, and industry practitioners, highlighting the vital role of intelligent, data-driven infrastructures in advancing future global energy systems.