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Analisis Bukti Digital Pada Media Penyimpanan Flash Disk Menggunakan Metode National Institute Of Standards And Technology (NIST) Aidil Wijaya Kusuma; Erick Irawadi Alwi; Ramdaniah Ramdaniah
Cyber Security dan Forensik Digital Vol. 7 No. 1 (2024): Edisi Bulan Mei Tahun 2024
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/csecurity.2024.7.1.4345

Abstract

Dalam perkembangan teknologi digital yang semakin pesat, analisis bukti digital menjadi semakin penting dalam mendukung penegakan hukum dan mengamankan ranah keamanan siber. Proses analisis bukti digital melibatkan pemeriksaan terhadap berbagai informasi digital yang ditemukan dalam investigasi kejahatan atau kasus hukum. Bukti digital tersebut dapat berupa file, pesan teks, email, rekaman panggilan, atau data lainnya yang terdapat dalam perangkat digital seperti komputer, ponsel, dan tablet. Penelitian ini membahas tentang bagaimana memperoleh, mengambil, melestarikan, dan menyajikan data atau informasi tentang jejak aktivitas kasus cybercrime yang terdapat pada media penyimpanan flash disk yang telah dihapus dan bertujuan untuk mendukung penyelidikan terhadap pelaku kejahatan dengan menerapkan prinsip-prinsip forensik digital. Pada penelitian ini menggunakan metode National Institute of Standards dan Technology (NIST) dan menggunakan FTK Imager sebagai tool forensic dan Autopsy sebagai tools analisis dan juga recovery data serta HashGenerator untuk mengecek hasil hash dari tiap-tiap file. Dari hasil analisis yang telah dilakukan, didapatkan file-file yang telah dihapus oleh pelaku dengan perlakuan yang berbeda-beda pada media penyimpanan flash disk menggunakan tools forensik FTK Imager, Autopsy, dan juga HashGenerator, dimana tool Autopsy berhasil mendapatkan metadata file-file yang dihapus pada tanggal yang sama dengan tanggal pelaporan. Perbedaan dari masing-masing perlakuan penghapusan terdapat terdapat pada perlakuan ketiga yaitu dengan perintah quick format dimana nama file yang terhapus berubah menjadi nama file yang berbeda seperti nama file aslinya. Selain itu size dan nilai hash pada semua file pada tiap-tiap perlakuan tidak menunjukkan adanya perubahan pada nilai hash MD5-nya yang menandakan bahwa file-file tersebut tidak ditemukan adanya perubahan. Kata kunci: kejahatan siber, bukti digital, NIST, digital forensik, flash disk,  forensic tools. ------------------------------------------------------------ In the rapid advancement of digital technology, the analysis of digital evidence has become increasingly vital in supporting law enforcement and securing the realm of cybersecurity. The process involves scrutinizing various digital information found in criminal investigations or legal cases. Digital evidence can encompass files, text messages, emails, call recordings, or other data within digital devices such as computers, phones, and tablets. This research delves into the acquisition, retrieval, preservation, and presentation of data or information related to traces of cybercrime activities found on deleted flash disk storage media. The aim is to support investigations into criminal perpetrators by applying principles of digital forensics. The study utilized the National Institute of Standards and Technology (NIST) methodology, employing FTK Imager as a forensic tool, Autopsy for analysis and data recovery, and HashGenerator to verify the hash results of each file. From the analysis conducted, various files deleted by the perpetrator were discovered on the flash disk storage media, subjected to different treatments using forensic tools FTK Imager, Autopsy, and HashGenerator. Autopsy successfully retrieved metadata of the deleted files on the same date as the reporting date. Notable differences were observed among the deletion methods. Particularly, in the third method involving quick format, the deleted filenames were altered to different names similar to their original names. Additionally, the size and hash values of all files for each deletion method showed no alterations in their MD5 hash values, indicating that no changes had occurred to these files. Keywords: Cybercrime, Digital Evidence, NIST, Digital Forensics, Flash Disk,  Forensic Tools
Design of IoT-Based Energy Meter for Efficiency and Disturbance Detection Bayu Adrian Ashad Bayu; Ramdaniah Ramdaniah
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2363

Abstract

The increasing need for energy consumption monitoring has driven the development of systems capable of providing accurate electrical information and detecting disturbances at an early stage. This study aims to design an IoT-Based Energy Meter capable of monitoring electrical parameters in real time and detecting load anomalies as a basis for energy efficiency analysis. The system uses a PZEM-004T sensor and an ESP32 microcontroller to measure voltage, current, power, energy, and power factor (cos φ). The data is transmitted to an IoT platform via a wireless connection so it can be monitored remotely. A Long Short-Term Memory (LSTM) model is applied to identify normal power consumption patterns and detect deviations, while a rule-based method is used to detect critical conditions such as overcurrent. Test results show that the device is capable of performing measurements with high accuracy, with error percentages for voltage, current, power, and cos φ parameters ranging between 0%–5% for three types of loads: iron, electric fan, and refrigerator. The LSTM model also successfully detects anomalies such as power spikes, sudden current changes, and disconnected loads with a confidence level of 0.99–1.00. The integration of IoT, artificial intelligence, and basic protection systems results in a reliable and responsive monitoring device. In the future, this system has the potential to be developed for automatic efficiency analysis and intelligent load control.