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SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA PEGAWAI (Studi Kasus : PT. PLN (Persero Distribusi Jakarta Raya Area Pondok Gede)) Ahmad Djunaedi; A’ang Subiyakto; Elvi Fetrina
STUDIA INFORMATIKA: JURNAL SISTEM INFORMASI Vol 10, No 1 (2017): Studia Informatika: Jurnal Sistem Informasi Vol. 10 No. 1 Februari 2017
Publisher : UIN Syarif Hidayatullah Jakarta

PT PLN (Persero) Pondok Gede Area is a service area and network that serves to manage company assets such as substations, cables, etc. Since 2005 until now the company is still doing employee recruitment because in the next few years many employees will retire, this will make it difficult for managers in promoting employees because the available employees have a working age and service not too far away. Not yet integrated system between Manager, Asman, and SDM so that the presentation of data for the needs of the promotion of employees who are still considered ineffective and efficient manual. Therefore the purpose of this research is to assist managers in determining the right employees to be promoted. The method of data collection using observation, interview, and literature study, system development method using RAD by using UML tools. The programming stage is done by using the programming language framework CI, MySQL, and Dreamweaver as supporting software in system development. The result of this research is a decision support system that can assist managers in making decisions to select the appropriate employees to be promoted in a certain position by using MFEP and MPE method.

Persepsi kebenaran dan kepercayaan terhadap penerimaan pustaka elektronik keislaman oleh para Akademisi Perguruan Tinggi keagamaan Islam Indonesia Luthfie Irhashon; A’ang Subiyakto; J.M. Muslimin
Al Maktabah Vol 17, No 1 (2018)
Publisher : Pusat Perpustakaan UIN Syarif Hidayatullah Jakarta

Tulisan ini bertujuan menjelaskan secara deskriptif pengaruh faktor persepsi kebenaran dan kepercayaan terhadap penerimaan e-resources keislaman di antara para akademisi Perguruan Tinggi Keagamaan Islam (PTKI)di Indonesia. Hal ini dilatarbelakangi oleh fenomena masih rendahnya tingkat produktifitas para akademisi di PTKI Indonesia dibanding akademisi di perguruan tinggi umum. Secara induktif, fenomena kemudian dijelaskan dalam kajian komputasi sosial, mengadopsi model penerimaan teknologi (technology acceptance model—TAM) serta menyesuaikannya dalam konteks kajian. Artikel ini merupakan penjelasan ide awal dari hasil studi literatur sebagai bahan pijakan pelaksanaan penelitian lebih lanjut. Batasan dan rekomendasi dari studi pendahuluan ini juga dipaparkan di bagian akhir tulisan.

An Ambidextrous AI Governance Framework for Smart Cities to Enhance IT Governance and Data Security Agustinus Fritz Wijaya; A’ang Subiyakto; Adhe Ronny Julians; Merryana Lestari; Gloria Batseyba Warella
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 2 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.1082

This study proposes an ambidextrous AI governance framework grounded in COBIT 2019 to guide the deployment of artificial intelligence in smart city infrastructures while ensuring robust IT governance and data security. The framework blends exploration‑exploitative governance strategies to support innovation in smart urban management, while maintaining accountability, risk control, and regulatory compliance. State‑of‑the‑art review includes AI governance adaptations of COBIT 2019. The study achieved measurable improvements in governance maturity, with notable increases such as a 69.2% enhancement in DSS05 (Manage Security Services) and a 60.7% improvement in APO12 (Managed Risk). The literature review was based on a targeted analysis of peer-reviewed sources published between 2020 and 2025, ensuring relevance to AI governance in smart cities. Keywords are arranged from general to specific to improve indexing and clarity: AI Governance, Smart Cities, COBIT 2019, Ambidextrous Governance, Data Security.

An Ambidextrous AI Governance Framework for Smart Cities to Enhance IT Governance and Data Security Agustinus Fritz Wijaya; A’ang Subiyakto; Adhe Ronny Julians; Merryana Lestari; Gloria Batseyba Warella
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 2 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.1082

This study proposes an ambidextrous AI governance framework grounded in COBIT 2019 to guide the deployment of artificial intelligence in smart city infrastructures while ensuring robust IT governance and data security. The framework blends exploration‑exploitative governance strategies to support innovation in smart urban management, while maintaining accountability, risk control, and regulatory compliance. State‑of‑the‑art review includes AI governance adaptations of COBIT 2019. The study achieved measurable improvements in governance maturity, with notable increases such as a 69.2% enhancement in DSS05 (Manage Security Services) and a 60.7% improvement in APO12 (Managed Risk). The literature review was based on a targeted analysis of peer-reviewed sources published between 2020 and 2025, ensuring relevance to AI governance in smart cities. Keywords are arranged from general to specific to improve indexing and clarity: AI Governance, Smart Cities, COBIT 2019, Ambidextrous Governance, Data Security.

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