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Menegakkan Prinsip Keadilan dan Kejujuran dalam Demokrasi : Berani Tolak Politik Uang Merlindang Simamora; Bolivia Renata Sianipar; Balqis Zhofayra Alya; Raihan Ananda Azma; Jennifer Olivia Annisa Putri; Hairunisa Astari; Jelvan Andi Putra Lase; Taufiq Ramadhan
JISPENDIORA Jurnal Ilmu Sosial Pendidikan Dan Humaniora Vol. 4 No. 2 (2025): Agustus: Jurnal Ilmu Sosial, Pendidikan Dan Humaniora (JISPENDIORA)
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/jispendiora.v4i2.2315

Abstract

A healthy democracy must be based on the principles of justice and honesty, especially in the implementation of elections as a form of public participation. However, money politics remains a major issue in Indonesia’s 2024 regional elections (Pilkada), threatening the integrity of democracy. This study employs a qualitative descriptive approach with literature review and secondary data analysis from official reports and surveys to describe the dynamics of money politics and evaluate its handling. The findings reveal various forms of money politics, including cash distribution, goods, and digital transfers aimed at influencing voters. The main causes include low political awareness, permissive culture, and weak supervision and law enforcement. The study emphasizes the importance of synergy between strict regulations, effective monitoring by Bawaslu, voter education, and active public participation to eradicate money politics and realize clean and democratic elections.
Pemanfaatan Data Analytics dalam Pengambilan Keputusan Bisnis: Sebuah Kajian Literatur Fadil Azury Farega Rambe; Nastiar Saputra Rangkuti; Raihan Ananda Azma; Muhammad Rizal
Jurnal Ilmu Ekonomi dan Bisnis Vol 4 No 1 (2026): April, Jurnal Ilmu Ekonomi dan Bisnis
Publisher : Perkumpulan Konsultan Manajemen Pendidikan Indonesia (PKMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65510/jieb.v4i1.197

Abstract

The digital transformation in the era of Industry 4.0 has positioned data as a strategic resource that plays a pivotal role in supporting business decision-making. This study aims to explore the contributions, benefits, and challenges of implementing big data analytics in the contexts of fraud detection, audit quality enhancement, and business strategy optimization. Employing a descriptive qualitative approach through a systematic literature review of various empirical and conceptual studies, the findings reveal that big data analytics significantly improves audit effectiveness, accelerates data analysis, and strengthens oversight functions through the integration ofmachine learning and deep learning technologies. Furthermore, data analytics functions as a strategic instrument for risk management, financial forecasting, and enhancing organizational competitiveness. However, its implementation in Indonesia still encounters challenges such as limited digital infrastructure, low data literacy, and insufficient data-driven organizational culture. The findings underscore that the success of big data analytics adoption relies on the synergy between technology, human resources, and organizational strategies, aligned with the Technology-Organization-Environment (TOE) framework. Practically, this study recommends investment in digital infrastructure, continuous capacity building for human resources, and fostering a data-driven culture as fundamental steps to strengthen governance quality, audit effectiveness, and business decision-making in the digital era..