PENGEMBANGAN JOB AID PROMPTING AI GENERATIF UNTUK DIVISI HUMAS DAN PUBLIKASI PUSBANGKOM MKMB KEMENAG RI

ABDULLAH SYAMSIDAR, . (2026) PENGEMBANGAN JOB AID PROMPTING AI GENERATIF UNTUK DIVISI HUMAS DAN PUBLIKASI PUSBANGKOM MKMB KEMENAG RI. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan mengembangkan Job Aid digital untuk Prompting AI Generatif bagi staf Divisi Humas dan Publikasi Pusbangkom MKMB Kemenag RI. Latar belakang penelitian adalah ketiadaan panduan struktural yang menyebabkan proses Prompting tidak efisien, tidak terstandarisasi, dan berisiko inkonsistensi konten. Metode yang digunakan adalah penelitian dan pengembangan (Research and Development) dengan mengadaptasi Model Pengembangan Job Aids Allison Rossett (1991) yang terdiri dari enam tahapan. Penelitian melibatkan tiga orang ahli (kehumasan, AI, dan media) serta tiga orang staf sebagai subjek uji coba. Produk yang dihasilkan berupa dokumen PDF 13 halaman dengan format hybrid (Worksheet, Array, Decision Table, Checklist) untuk empat tugas prioritas kehumasan. Hasil validasi ahli memperoleh rata-rata kelayakan 93,5% dengan kategori "Sangat Layak" (kehumasan 97,1%, AI 92,0%, media 91,3%), dan uji coba pengguna memperoleh rata-rata 89,6% dengan kategori yang sama, sehingga produk dinyatakan layak diimplementasikan. ***** This study aims to develop a digital Job Aid for Prompting Generative AI for the staff of the Public Relations and Publication Division at Pusbangkom MKMB, Ministry of Religious Affairs of the Republic of Indonesia. The research background is the absence of a structural guide that causes the Prompting process to be inefficient, unstandardized, and at risk of content inconsistency. The method used is Research and Development (R&D) by adapting the Job Aids Development Model by Allison Rossett (1991), which consists of six stages. The study involved three experts (Public Relations, AI, and media) as well as three staff members as trial subjects. The product is a 13-page PDF document with a Hybrid Format (Worksheet, Array, Decision Table, Checklist) for four priority Public Relations tasks, namely social media Caption writing, Reels video scripting, language editing, and content ideation. The expert validation obtained an average feasibility score of 93.5% in the "Highly Feasible" category (Public Relations 97.1%, AI 92.0%, media 91.3%), and the user trial obtained an average of 89.6% in the same category, indicating that the product is feasible for implementation.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Robinson Situmorang, M.Pd; 2). Dr. Uwes Anis Chaeruman, M.Pd.
Subjects:	Pendidikan > Teori, Penelitian Pendidikan Pendidikan > Media Pembelajaran Teknologi dan Ilmu Terapan > Teknologi (umum) Teknologi dan Ilmu Terapan > Teknologi (umum) > Teknologi Pendidikan Teknologi dan Ilmu Terapan > Teknik Komputer
Divisions:	FIP > S1 Teknologi Pendidikan
Depositing User:	Abdullah Syamsidar .
Date Deposited:	07 Aug 2026 08:53
Last Modified:	07 Aug 2026 08:53
URI:	http://repository.unj.ac.id/id/eprint/69142

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