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All Journal Informasi Interaktif CCIT (Creative Communication and Innovative Technology) Journal
M. Rudiyanto Arief
Universitas AMIKOM Yogyakarta
Computer Science & IT

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Implementation of ACPO Framework for Digital Evidence Acquisition in Smartphones Muhammad Saleh Jafri; Suwanto Raharjo; M. Rudiyanto Arief
CCIT Journal Vol 15 No 1 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1729.797 KB) | DOI: 10.33050/ccit.v15i1.1586

Abstract

A forensic investigator or analyst should implement an appropriate digital forensic framework to acquire valid digital evidence to be presented at court. Choosing an unsuitable digital forensic framework with the investigation process may lead to failure at acquiring or maintaining complete digital evidence. Missing a step or turning a certain step into another irrelevant step may lead to unclear results and invalid conclusions. Digital evidence extracted from risky electronic evidence cannot be accepted by the court. Accordingly, a forensic investigator or forensic analyst should refer to a structuralized standard structure to perform well.Several internal digital forensic frameworks are available, one of which is the Good Practice Guide for Computer-based Electronic Evidence [1], an English issuance by ACPO (Association of Chief Police Officers) in cooperation with 7Safe. The digital forensic framework is commonly called the digital forensic framework from ACPO or the ACPO Framework. This research brings into focus the analysis of the percentage of success rate for using the ACPO digital forensic framework or the ACPO Framework in comparison with another digital forensic framework, i.e., NIST Framework. This research is also aimed at examining the performance of a mobile forensic tool, i.e., Cellebrite’s UFED Touch2 in comparison with another mobile forensic tool for digital evidence acquisition in smartphones.The research objects were smartphones containing deleted WhatsApp messages. This research successfully implemented the ACPO Framework for digital evidence acquisition in smartphones using Cellebrite’s UFED Touch2 as the mobile forensic tool.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PEMILIHAN JURUSAN PADA UNIVERSITAS DENGAN MENGGUNAKAN METODE NAÏVE BAYES Devina Ninosari; Kusrini Kusrini; M. Rudiyanto Arief
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.836 KB)

Abstract

In general, prospective new students are confused in choosing a department that suits the needs and abilities of the academic. Typically, the selection of majors is often chosen because the favorite departmental factors are mixed with prospective students' goals, costs and also not tested in the opinion so that later consequences will be found in the new student candidates because of wrong in choosing the majors are Stop college, Droup Out and leave and move majors. To facilitate the process of choosing the right majors and in accordance with the ability of prospective new students in choosing the department then the researcher will make the Decision Support System Support System Selection by using the Naïve Bayes Algorithm to find out new student candidates to be obtained the probability is accepted and not accepted. classify and acceptable and unacceptable decisions.From the results of calculations with naïve bayes algorithm for data samples 2016/2017 obtained 3 students. 1 in D3MI and 2 major in Inforatika Engineering and 7 people not accepted. After obtained the result of calculation by using 10 sample data hence the next researcher doing process accuracy level obtained in this research there is accuracy value equal to 70%.  Keywords: sistem Pendukung Keputusan, Pemilihan Jurusan, calon mhasiswa baru, Naïve Bayes.
Co-Authors Devina Ninosari Kusrini Kusrini Muhammad Saleh Jafri Suwanto Raharjo