Rosdiana, Anna
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Influence Of The Implementation Of Good Governance And Internal Control On The Performance Of Urban Village Officials (Case Study In Pakuan Urban Village, South Bogor Sub-District) Rosdiana, Anna; Indupurnahayu; Hurriyaturrohman
Jurnal Mahasiswa Akuntansi dan Bisnis (JMAB) Vol 2 No 1 (2023): MEI
Publisher : Program Studi Akuntansi Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jharmoni.v2i1.14867

Abstract

This study aims to examine the influence of good governance, internal control on the performance of village officials. This research was conducted in the south Bogor sub-district with 60 Pakuan village officials as respondents. The result show that the effect of implementing good governance does not significantly affect the performance of village officials. Internal control has a significant positive effect on the performance of the village apparatus. This shows that the implementation of good governance is needed to improve the performance of the village apparatus
Multi-Layer PHP Source Code Protection Model Using Encoding with Integrity Hashing and Anti-Reverse Engineering Sarmuni, Sarmuni; Rumdani, Suhaeri; Rosdiana, Anna; Khaeroni, Khaeroni; Faturohman, Ahmad; Sujianto, Devid; Rifki, Deden
CoreID Journal Vol. 4 No. 1 (2026): March 2026
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v4i1.150

Abstract

Unprotected PHP source code is vulnerable to reverse engineering, piracy, and illegal modifications. This research aims to design and develop a multi-layer PHP source code protection model that combines obfuscation techniques, multi-layer encoding, AES-256 encryption, and hashing mechanisms with anti-tamper capabilities to maintain code confidentiality and integrity. The system is also equipped with auto-restore features and panic notification via Telegram Bot that automatically restores original files and sends security warnings when illegal changes are detected. The methodology used is Research and Development (R&D), with stages including literature review, system design, prototype development, security experiments, and performance benchmarking. The expected results show that the multi-layer model can hinder reverse engineering, accurately detect file changes, and provide rapid responses via auto-restore and Telegram notifications, significantly improving PHP source code security compared to conventional encoders. The security experiments demonstrated superior protection against deobfuscation attacks, with benchmark results showing acceptable performance overhead (an average execution-time increase of 15-20ms, a CPU load increase of 8-12%, and a memory usage increase of 5-8 MB) compared to commercial encoders.