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Big Data Dan Statistik: Transformasi Administrasi Publik Di Era Digital Mozin, Sri Yulianty; Napu, Febriany Hasnawati; Anggraini, Maya; Amanda, Ni Made; Rifkin; Rumampuk, Fardan; Abas, Adam
JPS: Journal of Publicness Studies Vol. 2 No. 2 (2025): Journal of Publicness Studies
Publisher : Program Studi Administrasi Publik, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Tadulako

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Abstract

The digital world has changed the way public administration is conducted. Big data and statistics greatly assist data-driven decision-making. Continuous data from various sources, such as public surveys, government transactions, social media, and sensors, enable the government to improve efficiency and enhance public services. The collection, storage, and analysis of large-scale data can be done quickly thanks to Big Data. Hidden patterns can be identified to support the formulation of more targeted policies using statistical methods. Descriptive analysis helps understand the socio-economic conditions in various regions, while predictive analysis helps forecast future public service needs. In addition, open data visualization through interactive dashboards allows the public to see government performance in real-time, increasing accountability and boosting public trust. But issues such as data privacy, information security, and a lack of human resources remain problematic. This article discusses how statistics and Big Data enhance the efficiency, transparency, and accountability of public administration. It also provides policy recommendations on the best ways to leverage this technology.
The Inductive Method and Analytical Approaches in Comparative Public Administration Studies: A Public Administration Perspective on the U.S. Administrative System Mozin, Sri Yulianty; Badjuka, Alexander; Amanda, Ni Made; Lestari, Dea Ayu; Dumbela, Utami Septiyani; Sampara, Moh Prayuda
Socius: Jurnal Penelitian Ilmu-Ilmu Sosial Vol 3, No 4 (2025): November
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17606894

Abstract

This study examines the application of the inductive method and various approaches in the comparative study of public administration, highlighting the administrative system of the United States as a case study. The inductive approach is employed to identify emerging patterns and principles from empirical facts, while the comparative approach enables cross-country analysis that enriches the understanding of variations in public administration systems. This research adopts a qualitative method with an emphasis on literature review and document analysis. The findings indicate that the inductive method offers a high degree of analytical flexibility, whereas the historical, structural, and institutional approaches provide comprehensive conceptual frameworks for assessing public administration systems. The examination of the United States administrative system reveals key characteristics such as federalism, the principle of checks and balances, and strong decentralization. These findings carry implications for developing countries in designing adaptive administrative systems grounded in good governance.