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KARAKTERISTIK INDIVIDU TERHADAP KEPUASAN KERJA YANG DI MEDIASI OLEH KOMITMEN ORGANISASIONAL Ulfah, Nabhita Maulia; Ngongo, Robertus Rina
Conference on Innovation and Application of Science and Technology (CIASTECH) CIASTECH 2018 "Inovasi IPTEKS untuk mendukung Pembangunan Berkelanjutan"
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (936.733 KB)

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh karakteristik individu terhadap kepuasan kerja pegawai yang di mediasi oleh komitmen organisasional. Subyek penelitian ini adalah pegawai non medik di RSUD Sleman. Penelitian ini termasuk pendekatan kuantitatif dengan teknik pengambilan sampel menggunakan teknik total sampling atau sensus. Pengambilan data dalam penelitian ini menggunakan kuesioner dengan skala Likert. Metode analisis data yang digunakan adalah SmartPLS 3.0. Hasil penelitian ini menunjukkan bahwa 1) karakteristik individu berpengaruh positif dan signifikan terhadap kepuasan kerja pegawai RSUD Sleman. 2) Karakteristik individu berpengaruh positif dan signifikan yang di mediasi oleh komitmen organisasional terhadap kepuasan kerja pegawai RSUD Sleman.
PENGARUH FAKTOR INDIVIDU TERHADAP KEPUASAN DALAM BEKERJA: STUDI MEDIASI OLEH KOMITMEN TERHADAP ORGANISASI Nabhita Maulia Ulfah; Limbong, Ihsaniyah; Floranda Yulia Wato
Juremi: Jurnal Riset Ekonomi Vol. 5 No. 1: Juli 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/juremi.v5i1.11013

Abstract

Penelitian ini bertujuan untuk mengeksplorasi pengaruh karakteristik personal terhadap tingkat kepuasan kerja pegawai, dengan mempertimbangkan peran komitmen terhadap organisasi sebagai variabel mediasi. Studi ini difokuskan pada tenaga non-medis di RSUD Sleman. Penelitian menggunakan pendekatan kuantitatif dengan teknik total sampling untuk menentukan partisipan. Data dikumpulkan melalui kuesioner berbasis skala Likert. Untuk analisis data, digunakan metode Partial Least Square (PLS) yang dijalankan dengan bantuan perangkat lunak SmartPLS versi 3.0.Temuan utama menunjukkan bahwa: (1) karakteristik individu memberikan pengaruh langsung yang signifikan dan positif terhadap kepuasan kerja; (2) karakteristik pekerjaan juga berdampak positif terhadap kepuasan kerja, meskipun pengaruhnya tidak begitu besar; (3) komitmen organisasional berperan secara signifikan dalam memediasi hubungan antara karakteristik individu dan kepuasan kerja; serta (4) pengaruh tidak langsung dari karakteristik pekerjaan terhadap kepuasan kerja melalui komitmen organisasional teridentifikasi, walaupun kontribusinya relatif kecil.
Transformation of Educator Performance Management: Implications of Artificial Intelligence Utilization for Reducing Administrative Workload and Enhancing Teaching Quality Nabhita Maulia Ulfah; Daulat Marulitua Tambunan; Siti Sarah Megawati; Floranda Yulia Wato; Ongen Stembri Pattiwaellapia
Journal of Education and Teaching Learning Vol.4 No.1 July (2026)
Publisher : PT MEDIA JURNAL DAN PENDIDIKAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59211/mjpjetl.v4i1.287

Abstract

The rapid development of Artificial Intelligence (AI) has driven significant transformations across various aspects of higher education, including the professional responsibilities of academic staff. While previous studies have predominantly focused on the pedagogical and technological dimensions of AI integration, its implications for educator performance management have received comparatively limited attention. This study aims to analyze the implications of Artificial Intelligence utilization for reducing administrative workload and enhancing teaching quality, as well as to examine its contribution to the transformation of educator performance management in higher education institutions. The study employed an Integrative Literature Review approach based on the framework proposed by Whittemore and Knafl. Data were collected from the Scopus, ERIC, and Google Scholar databases, covering publications from 2021 to 2026. The synthesis of 17 selected articles indicates that AI utilization contributes significantly to improving academic work efficiency through the reduction of administrative and repetitive tasks. This efficiency enables the redistribution of lecturers’ time and resources toward higher-value activities, including instructional innovation, research, and academic collaboration. The findings further suggest that the advancement of AI has the potential to shift faculty performance management from an administrative compliance-oriented approach toward a model emphasizing the quality of contributions and academic impact. This study proposes the concept of value-based academic performance as a conceptual framework for managing human resources in higher education within the context of digital transformation