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Abstract

Artificial Intelligence (AI) is reshaping organizational decision-making and Human Resource Management (HRM), yet empirical insights remain fragmented. This study examines the effect of AI adoption on decision-making efficiency and its implications for HRM through a Systematic Literature Review (SLR) guided by PRISMA 2020. The dataset exclusively comprises scholarly articles uploaded by the researcher. The identification stage yielded 87 records, reduced to 72 after duplicate removal; screening produced 34 articles for full-text assessment, and 15 studies met the inclusion criteria. These 15 articles were analyzed using thematic synthesis to map recurring patterns and conceptual linkages. The findings indicate that AI significantly improves decision-making efficiency by accelerating analytical processes, enhancing information quality, and reducing subjectivity, thereby potentially strengthening organizational performance in the Indonesian context. AI also facilitates a shift in HRM toward more strategic and analytics-driven roles, particularly in recruitment, performance appraisal, and workforce planning. Key challenges include algorithmic bias, limited system transparency, and organizational readiness.

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Bahasa Abstract

Artificial Intelligence (AI) mengubah proses pengambilan keputusan organisasi dan praktik Manajemen Sumber Daya Manusia (MSDM), namun temuan risetnya masih tersebar. Penelitian ini menganalisis pengaruh AI terhadap efisiensi pengambilan keputusan serta implikasinya bagi MSDM melalui Systematic Literature Review (SLR) berpedoman PRISMA 2020. Sumber data eksklusif berasal dari artikel ilmiah yang diunggah peneliti. Tahap identifikasi menemukan 87 artikel, menjadi 72 setelah duplikasi dihapus; screening menghasilkan 34 artikel untuk telaah teks lengkap, dan 15 artikel memenuhi kriteria inklusi. Kelima belas artikel dianalisis dengan sintesis tematik untuk memetakan pola dan hubungan konseptual. Hasil menunjukkan AI meningkatkan efisiensi pengambilan keputusan melalui percepatan analisis, peningkatan kualitas informasi, dan pengurangan subjektivitas, sehingga berpotensi memperkuat kinerja organisasi dalam konteks Indonesia. AI juga mendorong transformasi MSDM menjadi lebih strategis, khususnya pada rekrutmen, penilaian kinerja, dan perencanaan tenaga kerja. Tantangan meliputi bias algoritme, keterbatasan transparansi, dan kesiapan organisasi.

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