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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Rekayasa Industri (JRI) Multidisciplinary Journal of Education, Economic and Culture
Bhenu Artha
University of Widya Mataram
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Public Health Social Sciences

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Artificial Intelligence: A New Paradigm in Human Resource Management Bhenu Artha; Syakdiah; Nany Noor Kurniyati; Erna Tri Rusmala Ratnawati
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.8609

Abstract

The ability to automate procedures and improve decision-making, artificial intelligence (AI) is quickly transforming a wide range of industries, including human resource management (HRM). The application of AI in different sectors, including HRM, has been predominant and profound. AI has created a disruption by displacing established HRM processes with innovative ones, and its scope includes recruitment and selection, workforce management, and learning and development. AI is enabling machines to make more accurate decisions than humans based on data and behavioral patterns. The integration of AI into HRM is changing how organizations appoint, manage, and engage their workforce, with machines taking over manual tasks and HR professionals taking on more strategic roles. This study aims to ascertain how AI affects human resource management. This research uses theoretical literature review as a research method. 22 publications serve as the research materials for this study, which employs a theoretical literature review methodology. The authors discovered that AI has an impact on HR professionals' abilities, job displacement, and position creation. AI should be used by HR managers to boost productivity.
A Meta-Analysis of Consumer Behavior and Sustainable Marketing: An Evidence-Based Literature Review Kristiana Sri Utami; Bhenu Artha; Novita Sari; Estri Nurahayu
Multidisciplinary Journal of Education , Economic and Culture Vol. 4 No. 1 (2026): March 2026
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/3w77zm88

Abstract

This meta-analysis synthesizes the available academic evidence on consumer behavior in the context of sustainable marketing to examine the psychological, social, and economic drivers of green consumption, barriers to sustainable purchasing, and effective marketing strategies. The study uses a meta-analysis method to quantitatively combine data from multiple independent studies into a single, cohesive conclusion. The results indicate that environmental concern, positive attitudes, and perceived values are consistently strong predictors of sustainable purchase intentions. However, a significant attitude-behavior gap exists, wherein positive attitudes toward green products do not always translate into actual purchasing action. This gap is primarily driven by economic barriers like price sensitivity toward premium pricing and complex psychological defense mechanisms. Furthermore, greenwashing significantly triggers consumer skepticism and brand distrust, which negatively impacts green purchase intentions. Conversely, authentic corporate social responsibility (CSR) initiatives, eco-label visibility, and transparent communication foster brand trust and loyalty. 
Critical Review: Strategic Supply and Transportation Planning of a Supply Chain for Agricultural Biomass to Hydrogen and Syngas Bhenu Artha; Ascasaputra Aditya; Antonius Satria Hadi; Bahri Bahri; Niken Permata Sari; Utami Tunjung Sari; Cahya Purnama Asri; Rhamadinna Fatimah
Jurnal Rekayasa Industri (JRI) Vol. 8 No. 1 (2026): Vol.8 No.1 (2026): Edisi April
Publisher : Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Widya Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the evolving landscape of renewable energy, the management of agricultural biomass supply chains has emerged as a critical success factor for sustainable fuel production, this article presents a critical review of the research conducted by Nugroho and Zhu (2024) regarding the strategic supply and transportation planning of an agricultural biomass supply chain for hydrogen and syngas production. The primary study addresses a significant gap in renewable energy management by proposing a bi-level optimization framework that utilizes Stackelberg game concepts to model non-cooperative interactions between biofuel producers and biomass suppliers. The review identifies several methodological strengths, including the integration of process-level material balances with supply chain decisions and the use of mixed-integer nonlinear programming (MINLP) to handle realistic cost components like holding and production costs. However, the analysis also highlights critical limitations, such as restrictive behavioral assumptions regarding risk neutrality and perfect information, which may not reflect real-world opportunistic conduct. Furthermore, the generalizability of the findings is constrained by a narrow focus on an Indonesian case study and a dual-sourcing strategy that may face scalability issues in larger regional networks. Ultimately, while the reviewed work is deemed an incremental rather than landmark contribution, it offers valuable structured recommendations for practitioners and project developers building biomass supply chains in agricultural regions.
Co-Authors Antonius Satria Hadi Ascasaputra Aditya Bahri Bahri Cahya Purnama Asri Erna Tri Rusmala Ratnawati Estri Nurahayu Kristiana Sri Utami Nany Noor Kurniyati Niken Permata Sari Novita Sari Rhamadinna Fatimah Syakdiah Utami Tunjung Sari