Strategi Talent DNA Manajemen Pegawai dalam Mendorong Penguasaan Artificial Intelligence di Kementerian Pemberdayaan Perempuan dan Perlindungan Anak
DOI:
https://doi.org/10.58344/locus.v5i7.6189Keywords:
Talent DNA, Literasi AI, Manajemen Talenta ASN, Kapabilitas Dinamis, Kemen PPPAAbstract
Transformasi digital dan perkembangan AI menuntut aparatur negara (ASN) yang adaptif dan terampil. Penelitian ini menganalisis strategi manajemen talenta berbasis Talent DNA untuk meningkatkan literasi dan kompetensi AI ASN di Kemen PPPA. Pendekatan ini mengintegrasikan identifikasi dan pengembangan talenta, penguasaan literasi AI, serta teori kapabilitas dinamis. Data dianalisis kualitatif melalui studi kasus di Kemen PPPA (wawancara, dokumen). Hasil kajian menunjukkan bahwa enabler utama adalah dukungan kebijakan (UU ASN No. 20/2023, PermenPANRB 20/2025, Perka BKN No. 411/2025), adanya kerangka kerja AI global (UNESCO, WEF, OECD), dan inisiatif internal (Permen PPPA 8/2018). Hambatan meliputi keterbatasan anggaran, kesadaran AI rendah, dan kesiapan SDM yang belum merata. Model Talent DNA–AI Capability yang diusulkan meliputi empat komponen utama (kompetensi, potensi, kinerja, dan nilai/karakter digital mindset), yang dipadukan dengan peta kompetensi AI. Berdasarkan tingkat penguasaan AI, ASN dikelompokkan dalam empat tier: Explorer (pengenalan), Practitioner (penerapan dasar), Innovator (pengembangan solusi), dan Champion (pemimpin strategis). Roadmap implementasi berupa fase perencanaan (pemetaan talenta, penyusunan kurikulum AI), pelatihan bertahap, integrasi ke dalam karier, serta monitoring-evaluasi terukur. Rekomendasi kebijakan mencakup: alokasi dana pelatihan AI, insentif bagi talenta AI, dan sinergi lintas-kementerian. Dengan strategi ini diharapkan Kemen PPPA dapat membangun ASN yang unggul dalam penguasaan AI dan mewujudkan birokrasi digital berkelanjutan.
References
Agung, D. J. B. P. A. M. (2025). Menyiapkan ASN Profesional, Adaptif, dan Berintegritas: Sosialisasi Perka BKN Nomor 411 Tahun 2025. Direktorat Jenderal Badan Peradilan Agama Mahkamah Agung.
Anak, K. P. P. dan P. (2020). Keputusan Menteri PPPA Nomor 211 Tahun 2020 tentang Tim Penilai Kinerja di Lingkungan Kemen PPPA. Kemen PPPA (JDIH Kemen PPPA).
Andriani, V. (2021). Kompetensi aparatur sipil negara dalam era revolusi industri 4.0. Jurnal Birokrasi dan Pembangunan, 8(2), 155–168.
Barkhuizen, N. E., & Gumede, B. (2021). The relationship between talent management, job satisfaction and voluntary turnover intentions of employees in a selected government institution. SA Journal of Human Resource Management, 19, 1–12. https://doi.org/10.4102/sajhrm.v19i0.1396
Basuki, A. D., Rajab, R., & Silitonga, M. S. (2024). Analysis of the effectiveness of the implementation of talent management of state civil apparatus in efforts to develop employee careers in agencies of the Ministry of Environment and Forestry. Journal of Public Policy and Applied Administration, 6(1), 45–54. https://doi.org/10.32834/jplan.v6i1.734
Basuki, A. D., & Ramadhania, A. T. (2021). The implementation of talent management in improving organizational effectiveness (case study in Ministry of Environment and Forestry). Journal of Public Policy and Applied Administration, 3(2), 43–52. https://doi.org/10.32834/jplan.v3i2.370
Birokrasi, K. P. A. N. dan R. (2024). Kementerian PANRB Paparkan Kebijakan Manajemen Talenta di Hadapan Para Pimpinan Instansi Publik Singapura. Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi.
Firm, S. I. P. L. (2024). Pengembangan Kapasitas Aparatur Negara. SIP Law Firm.
Hafidz, I., Indraswari, R., Tjahyanto, A., Atletiko, F. J., Wibowo, R. P., Rakhmawati, N. A., Putri, A. I., & Ulinnuha, H. D. (2026). Penguatan Kompetensi Digital ASN melalui Program Pelatihan AI (Artificial Intelligence) pada Pemerintah Kabupaten Pamekasan. Sewagati: Jurnal Pengabdian.
Hassanikordedeh, M., Fathi, M. R., & Payvar, A. (2026). Artificial intelligence literacy in the information age: A global bibliometric analysis and policy roadmap for libraries, education, and digital equity. IFLA Journal. https://doi.org/10.1177/09610006251411534
Mada, U. G. (2026). Pemerintah Siapkan Talenta AI untuk Solusi Kebutuhan Nyata di Masyarakat. Universitas Gadjah Mada.
Mattajang, S., Nurwulandari, L., & Hardin, S. (2022). The impact of e-government on public service efficiency: Evidence from local governments in Indonesia. Jurnal Ilmu Pemerintahan, 18(3), 211–225.
Mengkuningtyas, Y. (2020). The influence of motivation and talent management on employee career development at the Audit Board of the Republic of Indonesia. Jurnal Ilmiah Administrasi Publik (JIAP), 6(3), 216–225.
Miao, F., Shiohira, K., & Lao, N. (2024). What you need to know about UNESCO’s new AI competency frameworks for students and teachers. UNESCO.
Milberg, T. (2025). Why AI literacy is now a core competency in education. In World Economic Forum. World Economic Forum.
Nadkarni, S., & Prügl, R. (2021). Digital transformation: A review, synthesis and opportunities for future research. Management Review Quarterly, 71(2), 233–341. https://doi.org/10.1007/s11301-020-00185-7
Negara, B. K. (2025). Kepala BKN Prof. Zudan: Talent DNA Jadi Instrumen Penting Dalam Penempatan ASN. Badan Kepegawaian Negara.
Papcunová, V., Vavrek, R., & Dvo?ák, M. (2021). Role of public entities in suitable provision of public services: Case study from Slovakia. Administrative Sciences, 11(4), 143. https://doi.org/10.3390/admsci11040143
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Putri Rahayu, Nurliah Nurdin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
