Claim Missing Document
Check
Articles

Found 2 Documents
Search

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.
Big Data Analytics dalam Pengambilan Keputusan Akuntansi Manajerial : Study Literatur Hairunisa Astari; Muhammad Rizal
Jurnal Ilmu Ekonomi dan Bisnis Vol 3 No 2 (2025): Oktober, 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.v3i2.170

Abstract

Digital transformation has shifted managerial accounting from historical reporting to a predictive information system. Big Data Analytics (BDA) allows organizations to process large volumes of structured and unstructured data, providing real-time and relevant insights for decision-making. This study employs a literature review of twelve national and international publications. The findings indicate that BDA improves accounting information quality, operational efficiency, strategic planning, and fraud detection. Challenges include limited infrastructure, low data literacy among accountants, and ethical or privacy issues. Effective implementation requires technological investment, human capital development, and clear regulations to ensure managerial accounting becomes more adaptive and strategic.