SARJournal.Volume5,Issue3,Pages159-165,ISSN2619-9955,DOI:10.18421/SAR53-07September2022.
SARJournal–Volume5/Number3/2022. 159
User-centered Design Strategies to
Develop Mobile Application for
Selection of Digital Forensics Tool
Erika Ramadhani, Agrian Persada Gama
Department of Informatics, Universitas Islam Indonesia, Jalan Kaliurang Km14.5, Sleman, Indonesia
Abstract – There are several types of digital forensics
tool. Therefore, to help investigators to choose suitable
tools, a recommendation system is needed. This
research type is development of mobile application
recommendation system. The development using User
Centered Design (UCD) method. The evaluation system
uses the Blackbox method and the User Acceptance
Test (UAT) method. From the results, it is concluded
that the application is useful, easy to use, and easy to
learn by users. As for usability testing, it was found
that the users found it very helpful to operate, which
was 28 students with a margin of error of 5%.
Keywords – digital forensics, tool selection, mobile
application, user-centered design.
1. Introduction
Digital forensics is a part of forensic science that
aims to find, recover, and investigate data contained
in digital devices such as computers, mobile phones,
tablets, network devices, storage media, and etc.
When conducting an investigation, investigators use
a tool such as an application to assist in collecting
data and analyze data, and to find digital data
evidence.
DOI:10.18421/SAR53-07
https://doi.org/10.18421/SAR53-07
Correspondingauthor:ErikaRamadhani,
DepartmentofInformatics,UniversitasIslamIndonesia,
JalanK
aliurangKm14.5,Sleman,Indonesia
Email:
Received:16July2022.
Revised:17September2022.
Accepted:23September2022.
Published:27September2022.
© 2022 Erika Ramadhani & Agrian Persada
Gama;
publishedby UIKTEN. This work is licensed under
the Creative Commons Attribution‐NonCommercial‐
NoDerivs3.0License.
The article is published with Open Access at
www.sarjournal.com
The data evidence usually is used in the court of
law. In the process of investigation, forensics has
certain procedures in its handling. One of a very
important procedure is the selection of tools in the
investigation process.
Investigator has to choose the appropriate tools to
be used in the process of digital forensic
investigation. Therefore, it takes the ability to
quickly select and evaluate the tools to be used [1],
[2], [3].
To get a computerized function, an expert system-
based application is needed. In this case, the expert
system serves as a substitute for someone who is an
expert in the field of forensics. There have been
several studies that have tried to design systems for
recommendations for selecting tools in digital
forensics investigations. Paper [4] designs an
investigation tool selection system by utilizing a
web-based expert system. The basis for selecting
tools in the digital forensics field is based on a rule-
based expert system using the forward chaining
method. In terms of user experience (UX) the
website created has a lot of disadvantages because it
is not responsive, so it is not comfortable to use on
the mobile device. Therefore, this can be facilitated
with the help of a mobile application, so there is no
need to use the internet, but require user to download
update regularly. The mobility of mobile applications
is also one of the main factors in improving the
ability to handle tasks and activities on the go, so that
users simply download the application on their
smartphone and can access the tool selection feature
easily without having to type in the website url and
use a website that is not responsive [5], [6], [7].
In this paper, we develop the existing website for
the selection tools that was made into a mobile
device-based application. The tools recommendation
system was made according to a website based for
accessing data or information. The design is carried
out with using the UCD method. UCD is a design
philosophy that puts the user at the center of a
process system development [8], [9]. The result of
the paper is a mobile application design model that