SmartHR | CV Screening, Psychometric Assessment & Adaptive Interview - AI Hackfest 2026

🔗 Demo→ https://smarthr.my.id 🔗 AI Hosting dan Domain → https://idwebhost.com/ai-hosting 🔗 Cloudbaik VPS → https://cloudbaik.com 🔗 Detail Artikel →   / oleh-bramastyosmarthr-projectid-dan-muhama...   SmartHR adalah sistem rekrutmen berbasis Large Language Model (LLM) yang dirancang untuk membantu proses seleksi kandidat dari penyaringan CV hingga wawancara. Dalam video ini, kami memperlihatkan bagaimana SmartHR bekerja melalui beberapa tahap: 1. CV Screening: pengujian terhadap 120 CV dengan perbandingan proses manual dan SmartHR. 2. Psychometric Assessment: 50 pertanyaan situasional dengan urutan yang diacak untuk setiap kandidat. 3. Adaptive Interview: Sistem mengevaluasi jawaban kandidat dan memberikan pertanyaan probing ketika bukti perilaku yang diberikan masih belum cukup. 4. Notifikasi Sitem: Sistem yang selalu memberikan update baik melalui email atau whatsapp, dengan slogan "never let a candiate hanging" dan lebih menghormati setiap pelamar. 5. System Load Test: simulasi 50 koneksi bersamaan untuk mengamati penggunaan CPU, memori, dan round-trip time. Hasil pengujian CV menunjukkan waktu pemrosesan rata-rata 3,84 detik per CV dibandingkan 15–20 menit secara manual. SmartHR dikembangkan menggunakan Next.js, Supabase PostgreSQL, Hermes AI Agent Runtime, Gemini Flash, serta infrastruktur AI Hosting berbasis Cloud VPS dari Cloudbaik dan Idwebhost. Project & Research: SmartHR Presented by: Bramastyo Kusumo Muhamad Regi #smarthr #airecruitment #artificialintelligence Daftar Pustaka: [1] A. L. Hunkenschroer and C. Luetge, “Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda,” *Journal of Business Ethics*, vol. 178, pp. 977–1007, 2022. DOI: 10.1007/s10551-022-05049-6. [2] A. Köchling and M. C. Wehner, “Discriminated by an Algorithm: A Systematic Review of Discrimination and Fairness by Algorithmic Decision-Making in the Context of HR Recruiting and HR Development,” *Business Research*, vol. 13, pp. 795–848, 2020. DOI: 10.1007/s40685-020-00134-w. [3] C. Boon and P. Bammens, “Person-Environment Fit: A Review of Its Current State and Emerging Trends,” *European Journal of Work and Organizational Psychology*, vol. 30, no. 1, 2021. [4] J. McCarthy, E. R. H. Green, and P. S. David, “Transforming Talent Acquisition: The Role of Generative Artificial Intelligence and Large Language Models in Modern Recruitment Workflows,” 2024. [5] B. Min, H. Ross, E. Sulem, A. P. B. Veyseh, T. H. Nguyen, O. Sainz, E. Agirre, I. Heintz, and D. Roth, “Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey,” *ACM Computing Surveys*, vol. 56, no. 2, Article 30, pp. 30:1–30:40, 2024. DOI: 10.1145/3605943. [6] Y. Mehta, N. Majumder, A. Gelbukh, and E. Cambria, “Recent Trends in Deep Learning Based Personality Detection,” *Artificial Intelligence Review*, vol. 53, no. 4, pp. 2313–2339, 2019. DOI: 10.1007/s10462-019-09770-z. [7] J. Salminen, S. G. Jung, S. Santos, and B. J. Jansen, “Does Machine Learning Understand Human Personality? A Systematic Literature Review on Machine Learning for Personality Recognition in Recruiting,” *IEEE Access*, vol. 10, 2022. [8] H. Christian, D. Suhartono, A. Chowanda, et al., “Text Based Personality Prediction from Multiple Social Media Data Sources Using Pre-Trained Language Model and Model Averaging,” *Journal of Big Data*, vol. 8, Article 68, 2021. DOI: 10.1186/s40537-021-00459-1. [9] D. L. Stone, D. L. Deadrick, K. M. Lukaszewski, and R. Johnson, “The Impact of Technology, Artificial Intelligence, and Advanced Analytics on HR Practices: The Good, the Bad, and the Ugly,” *Human Resource Management Review*, vol. 30, no. 4, Article 100742, 2020. [10] H. Y. Suen, K. E. Hung, and C. L. Lin, “Automated Interview Assessment Using Deep Learning Approaches: Validity and Applicant Reactions,” *Computers in Human Behavior*, vol. 117, Article 106658, 2021. [11] IDwebhost, “AI Cloud VPS Hosting,” IDwebhost, 2026. [12] CloudBaik, “Cloud VPS dan AI Developer Workflow,” CloudBaik, 2026. [13] Mehyaar, “Annotated NER PDF Resumes,” *Hugging Face Datasets*, 2026. Dataset berisi resume PDF dengan anotasi entitas/keterampilan. Diakses 30 September 2026. [14] TalentCulture, “Talent Board Releases 2022 Candidate Experience Benchmark Research Report,” January 11, 2023. [15] LinkedIn, “Global Talent Trends,” LinkedIn Talent Solutions.