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The Role of AI-Driven Human Resource Information Systems (HRIS) in Enhancing Employee Performance and Organizational Agility: Evidence from Industry 5.0 Mely Daniati; Ramadhika Trisnasari; Syahrial Shaddiq; Khuzaini; Zakky Zamrudi
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 6 (2026): Jurnal Riset Multidisiplin Edukasi (Juni 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i6.2327

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed Human Resource Information Systems (HRIS), enabling organizations to improve workforce management through intelligent automation, predictive analytics, and data-driven decision-making. In the context of Industry 5.0, organizations are encouraged to integrate advanced digital technologies while maintaining a human-centered approach that emphasizes employee well-being, innovation, and organizational resilience. This study aims to explore the role of AI-driven Human Resource Information Systems (HRIS) in enhancing employee performance and organizational agility. A qualitative case study approach was employed to obtain an in-depth understanding of AI implementation in human resource management. Data were collected through semi-structured interviews, organizational documents, and a review of recent literature, and were analyzed using thematic analysis. The findings indicate that AI-driven HRIS improves employee performance by supporting more accurate recruitment, personalized learning and development, efficient performance evaluation, and evidence-based managerial decision-making. Furthermore, AI-supported HRIS enhances organizational agility by strengthening strategic workforce planning, accelerating organizational responses to environmental changes, and improving adaptability in dynamic business environments. However, the successful implementation of AI-driven HRIS depends on organizational readiness, employee digital competencies, ethical AI governance, and leadership commitment. This study contributes to the Human Resource Management literature by providing insights into the integration of AI-driven HRIS within the Industry 5.0 framework and offers practical recommendations for organizations seeking sustainable digital transformation through intelligent human resource management.
Evaluation of agricultural land carrying capacity and projection of agricultural land requirements in Grobogan Regency based on Geographic Information Systems (GIS) Muhammad Fauzan; Mochamad Arief Budihardjo; Budi Prasetyo Samadikun
Journal of Agricultural Socio-Economics (JASE) Vol. 7 No. 1 (2026): Journal of Agricultural Socio-Economics (JASE)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jase.v7i1.25214

Abstract

Increasing population growth and agricultural land conversion pose significant challenges to food security, particularly in regions heavily dependent on agriculture. Grobogan Regency, a major rice-producing area in Central Java, has experienced a decline in harvested area alongside rising population pressure, indicating potential risks to long-term agricultural sustainability. Unlike previous studies that examine land carrying capacity, land requirements, or land use change separately, this study integrates these aspects within a Geographic Information System (GIS)-based spatial framework. The novelty of this study lies in integrating agricultural land carrying capacity, land-use requirement projections, and GIS-based land-use analysis within a multi-temporal, spatially explicit framework at the sub-district level to provide a more comprehensive understanding of agricultural sustainability and land-based food supply planning under population pressure. This study employed a quantitative, descriptive approach, combined with GIS-based spatial analysis, using secondary data on population, harvested area, rice production, and land use for 2014, 2019, and 2024. Agricultural land carrying capacity was calculated using the Suhardjo–Tukiran method, while land requirements were projected using a geometric population growth model. The results show that carrying capacity remained positive, with σ values of 3.45 in 2014, 4.62 in 2019, and 3.94 in 2024, although the number of Class I sub-districts declined from 18 in 2019 to 16 in 2024, indicating increasing localized land pressure and spatial disparities in agricultural resources. Projected land requirements increased from 46,699.19 ha in 2029 to 49,297.08 ha in 2034, while land-use analysis indicates ongoing changes in agricultural and non-agricultural land allocation. These findings highlight the importance of GIS-based spatial planning and land-use control to support sustainable agricultural development and long-term food security.
Optimizing Information Systems in the Food Supply Chain: Strategies for Sustainable Food Security in Lampung Province Maulana Agung; Jeni Wulandari; May Roni
International Journal on Advanced Science, Education, and Religion Vol 9 No 1 (2026): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v9i1.1618

Abstract

This study aims to analyze and develop strategies for optimizing information systems in the food supply chain in order to strengthen sustainable food security in Lampung Province. Inefficient food supply chains and the lack of information system integration at the producer, distributor, and consumer levels are major challenges in ensuring the stability of local food supply and distribution. Using a qualitative approach through case study methods, this research was conducted through in-depth interviews, field observations, and Focus Group Discussions (FGD) with key players in the regional food system. Data analysis was conducted using the SWOT and system analysis approaches, then strategies based on the Logical Framework Approach (LFA) and Technology Acceptance Model (TAM) were formulated as a reference in developing an adaptive and contextual information system. The results of the study show that optimizing information systems can increase supply chain transparency, accelerate information flow, and reduce potential crop losses. This study provides strategic contributions to regional policy makers, as well as serving as a reference for the development of digital-based food information systems in other regions with similar characteristics. The results of this study will be published in a reputable Scopus journal or international seminar, with a technology readiness level (TRL) index of 3–5 and the potential to be registered as intellectual property rights.
Leveraging Artificial Intelligence, Human Resource Information Systems, and People Analytics to Foster Organizational Sustainability in the Industry 5.0 Era Sadikin; Nadira Nur Aisyah; Syahrial Shaddiq; Khuzaini; Zakky Zamrudi
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 7 (2026): Jurnal Riset Multidisiplin Edukasi (Juli 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i6.2345

Abstract

The rapid advancement of digital technologies has transformed human resource management (HRM), making Artificial Intelligence (AI), Human Resource Information Systems (HRIS), and People Analytics essential tools for improving workforce management and organizational sustainability in the Industry 5.0 era. This study aims to examine how these digital technologies contribute to strategic HRM and sustainable organizational performance. This study uses a qualitative literature review approach by analyzing recent journal articles published between 2021 and 2026 from reputable databases, including Scopus, Web of Science, ScienceDirect, Emerald Insight, SpringerLink, and Taylor & Francis. The collected literature was analyzed using thematic analysis to identify key trends and best practices in digital HRM. The findings indicate that AI enhances recruitment, employee performance evaluation, and workforce planning. HRIS improves operational efficiency through integrated employee data management, while People Analytics supports data-driven decision-making by providing insights into employee performance, engagement, and retention. However, successful implementation depends on digital infrastructure, employee competencies, leadership support, and ethical data governance. The study concludes that integrating AI, HRIS, and People Analytics strengthens strategic human resource management and enhances organizational sustainability in the Industry 5.0 era. These findings provide practical insights for organizations seeking to accelerate digital transformation and achieve sustainable competitive advantage.
Relevance Of Students Competencies and Health Information in Medical Records at The Level with The Minister of Health Regulation Number 312 Of 2020 Zulfahmi Zulfahmi; Oriza Sativa; Putri Farrah Diba
JURNAL HURRIAH: Jurnal Evaluasi Pendidikan dan Penelitian Vol. 7 No. 1 (2026): Jurnal Hurriah: Journal of Educational Evaluation and Research
Publisher : Yayasan Pendidikan dan Kemanusiaan Hurriah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56806/jh.v7i1.407

Abstract

Universities are expected to provide graduates whose skills correspond with professional and regulatory requirements. In the domain of Medical Records and Health Information (PMIK), competency standards are officially governed by Minister of Health Regulation No. 312 of 2020, which establishes a criterion for service quality and professional efficacy. This study seeks to evaluate the correspondence between the abilities of final-year students in the 2024–2025 Medical Records and Health Information (RMIK) program at STIKes Sihat Beurata Banda Aceh and the established national criteria.A descriptive quantitative approach was utilised, encompassing all 69 final-year students via a complete sample method. The demographic profile reveals that the majority of respondents were 20 years old (52%) and primarily female (70%). The comprehensive competency evaluation indicates that the majority of students are classified as "good" (69%). Student competencies are predominantly assessed as high in relation to the national benchmark. Nonetheless, certain domains necessitate focus, including data management (8%) and codification (2%), which were predominantly assessed as “poor”. The findings indicate that although overall competency levels are adequate and meet regulatory standards, specific enhancements are required in some technical areas. Enhancing these areas is crucial to guarantee thorough professional preparedness in alignment with established PMIK criteria.
The Role of Accounting Literacy and Internal Control in Maintaining Financial Information Quality: A Document Analysis Study of BPRS in Aceh Province Laras Hijriani; Marjulin Marjulin; Busra Busra; Hismendi Hismendi
JURNAL HURRIAH: Jurnal Evaluasi Pendidikan dan Penelitian Vol. 7 No. 1 (2026): Jurnal Hurriah: Journal of Educational Evaluation and Research
Publisher : Yayasan Pendidikan dan Kemanusiaan Hurriah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56806/jh.v7i1.421

Abstract

The revocation of business licenses of three Islamic Rural Banks (BPRS) in Aceh Province within one year raises serious concerns about the quality of financial information generated by these institutions. This study examines the role of accounting literacy and internal control in maintaining financial information quality at BPRS in Aceh Province through a qualitative document analysis approach. Secondary data were collected from publicly available financial reports and supervisory documents published by Otoritas Jasa Keuangan (OJK) for the period 2020–2024. The analysis employs a disclosure scoring framework based on four qualitative characteristics: relevance, reliability, comparability, and timeliness. Findings indicate that BPRS with weaker accounting literacy indicators demonstrate lower disclosure completeness scores, while banks with documented internal control deficiencies exhibit greater variability in financial reporting quality. The study concludes that both accounting literacy and internal control play critical roles in sustaining financial information quality, and their deterioration may contribute to institutional failure in Islamic rural banking.
System Quality and Service Quality in Public Sector Accounting Information Systems: The Role of Perceived Usefulness in Enhancing User Satisfaction Tri Lestari; Sri Rahayu; Achmad Hizazi; Wirmie Eka Putra
Greenation International Journal of Economics and Accounting Vol. 4 No. 2 (2026): Greenation International Journal of Economics and Accounting (May - June 2026)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v4i2.893

Abstract

This study is motivated by the suboptimal level of user satisfaction in public sector accounting information systems. It aims to examine the effect of system quality and service quality on user satisfaction with the mediating role of perceived usefulness. The research object consists of work units partnering with the State Treasury Service Office in Jambi, with 161 respondents. The study applies a quantitative approach using a survey method and structural equation modeling analysis. The results show that system quality and service quality have a positive and significant effect on perceived usefulness. Perceived usefulness has a positive and significant effect on user satisfaction. Service quality also has a direct effect on user satisfaction, while system quality has no direct effect. Perceived usefulness fully mediates the relationship between system quality and user satisfaction and partially mediates the relationship between service quality and user satisfaction. Overall, respondents perceive the variables at a high level. The findings refine the integration of the Information System Success Model and the Technology Acceptance Model by demonstrating that perceived usefulness serves as the primary mechanism through which system quality influences user satisfaction in mandatory system environments. This study concludes that enhancing perceived usefulness is essential to improving user satisfaction.
Earnings Informativeness in Emerging Markets: The Role of Income Smoothing, Foreign Ownership, and Information Asymmetry Ira Febrianti; Johannes Simatupang; Enggar Diah Puspa Arum; Tona Aurora Lubis
Greenation International Journal of Economics and Accounting Vol. 4 No. 2 (2026): Greenation International Journal of Economics and Accounting (May - June 2026)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v4i2.909

Abstract

This study examines the effect of income smoothing and foreign ownership on earnings informativeness with information asymmetry as a moderating variable in emerging markets. Earnings informativeness reflects the ability of accounting earnings to provide relevant information for investors in predicting future corporate performance. This study employs a quantitative approach using panel data from 55 companies listed on the Indonesia Stock Exchange during the 2020–2022 period, resulting in 165 firm-year observations. Earnings informativeness is measured using the Future Earnings Response Coefficient (FERC), while information asymmetry is measured using the bid-ask spread. Data analysis is conducted using panel data regression with the Random Effect Model (REM). The results show that foreign ownership has a significant negative effect on earnings informativeness, whereas income smoothing has no significant effect. In addition, information asymmetry does not moderate the relationship between income smoothing, foreign ownership, and earnings informativeness. However, information asymmetry has a significant direct effect on earnings informativeness, indicating that the information environment plays an important role in how investors interpret financial information in emerging markets. The findings also suggest that FERC remains a useful forward-looking measure for examining earnings informativeness in emerging markets, particularly during periods characterized by economic uncertainty and information asymmetry.
Implementation of the employment information system to optimize employment supervision in Jambi Province Pariyadi Pariyadi; Nanang Maulana Syarif; Rizki Ramadhan; Fikri Al Hakim
Journal of Computer-based Instructional Media Vol. 4 No. 1 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v4i1.161

Abstract

Effective employment supervision is critical for ensuring compliance with labour regulations and protecting worker rights. However, traditional paper-based approaches face significant challenges in the context of Indonesia's decentralized governance and limited supervisory resources. This study investigates the implementation of the Employment Information System, an online employment information system developed by the Manpower and Transmigration Office of Jambi Province, to optimize employment supervision. Using a mixed-methods approach combining analysis of system documentation and interviews with key stakeholders, this research assesses the system's functional capabilities, user access levels, data management workflows, and alignment with information systems success models. The findings reveal that Employment Information System integrates essential features including company registration, P2K3 (Occupational Safety and Health Committee) data management, complaint handling, and report generation across three distinct user levels. However, challenges persist in achieving optimal utilization, including limited digital infrastructure, insufficient training, and varying user responsiveness. This study contributes to the literature on digital transformation in labour governance within developing country contexts and offers practical recommendations for enhancing system adoption through targeted capacity building, feature integration, and policy reinforcement.
Optimizing service queue scheduling through a web-based service and repair management information system using the shortest job first algorithm with an aging mechanism Natasha Wulanda; Sukri Adrianto; Muhardi Muhardi; Fauzansyah Fauzansyah
Journal of Computer-based Instructional Media Vol. 4 No. 1 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v4i1.162

Abstract

Computer repair service businesses that still rely on manual, chronologically ordered queues commonly experience a structural inefficiency: short, simple jobs are delayed behind longer and more complex repairs, which inflates average customer waiting time and removes any real-time visibility into repair status. This problem mirrors a well-documented limitation of First Come First Served (FCFS) scheduling in computing systems, where job ordering by arrival time rather than job characteristics produces suboptimal queue performance. This study addressed that gap by designing and implementing a web-based Service and Repair Management Information System that embeds the Shortest Job First (SJF) algorithm, strengthened with an aging mechanism to prevent the starvation of long-duration jobs. The system was developed using the Waterfall model, built on the Laravel 10 framework with a MySQL database, and structured around four role-based modules: Admin, Technician, Director, and Customer. The scheduling logic applied the priority formula Priority = Duration ? (Waiting Time × 0.5), which dynamically lowers a job's priority value the longer it waits, gradually moving long-duration jobs toward the front of the queue without abandoning the core SJF principle of minimizing average waiting time. Black Box Testing confirmed that all ten primary system functions, including the SJF queue calculation, the aging mechanism, real-time status updates, and the public tracking portal, operated correctly and met the defined functional requirements. The findings indicate that the integration of an algorithmic scheduling mechanism into a web-based service management platform is both technically feasible and operationally effective for small computer repair businesses, extending the application of SJF scheduling beyond its traditional CPU-scheduling domain into commercial service queue management.

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