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Mobile and Forensics
Published by Universitas Ahmad Dahlan
ISSN : 26566257     EISSN : 27146685     DOI : https://doi.org/10.12928/mf
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Neuroscience
Mobile and Forensics (MF) adalah Jurnal Nasional berbasis online dan open access untuk penelitian terapan pada bidang Mobile Technology dan Digital Forensics. Jurnal ini mengundang seluruh ilmuan dan peneliti dari seluruh dunia untuk bertukar dan menyebarluaskan topik-topik teoritis dan praktik yang berorientasi pada kemajuan teknologi mobile dan digital forensics.
Arjuna Subject : Teknik (semua kategori) - Teknologi Media
Articles 99 Documents
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Design and Analysis of 5G Telemedicine Systems Chettri, Lalit; Bera, Rabindranath
Mobile and Forensics Vol. 3 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i2.5390

Abstract

Recently, remote health care is one of the serious issues to look after. Due to lack of technological advancement, the services in heath have been degrading. This work details about design of 5G Wireless communication systems and further it is implemented in telemedicine systems. As 5G deals with FBMC as a selected waveform and this has been chosen because it has the higher spectrum allocation capability and better interference rejection as compared to that of other multicarrier techniques. The main motivation to jump into 5G technologies is because of more connected devices and it can allocate the underutilized spectrum to the secondary user verifying the certain policies. As these telemedicine systems is one of the most needed technologies in health care especially in remote places and 5G systems has higher data rate where the health specialist can receive the patient status at less time and act as per the condition. This work details about transmission of patient’s vital sign, image and video and analysis which are most essential components in future Telemedicine systems.
Bandwidth Improvement on Rectangular Monopole Antenna using Dual Bevel Technique for Ultrawideband Technology Liya Yusrina Sabila; Damayanti, Denti Agustina; Prakoso, Teguh
Mobile and Forensics Vol. 4 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v4i1.5496

Abstract

This paper presents the analyzed Monopole Antenna for Ultrawideband with a rectangular patch design using bevel technique at a frequency of 3.1 – 10.6 GHz. The fabricated antennas with dual bevel angles have a very compact width and length of 40 mm x 33 mm respectively and a groundplane width of 13 mm. To get bandwidth improvement on monopole antennas can be applied to the bevel angle on the patch. So, to get the best antenna design, 3 optimizations of antenna size changes were carried out during the simulation, that is optimization of patch length, patch width and bevel angle. Variation of patch length and width is used to change the frequency range and variation of bevel angle to increase bandwidth. From each change, the best result is taken. The experiment obtained the best simulation result of antenna and then fabricate it. From the measurement results on the fabricated antenna, the lowest S11 value is -24.6 dB, gain 2.6 dBi at a frequency of 5 GHz and radiation pattern is omnidirectional. The optimization process using the bevel technique has been proven to be successful in shifting the frequency range by around 600 MHz and increasing the bandwidth by about 4% or 30 MHz.
IoT-based Home Water Monitoring using Arduino Rosyady, Phisca Aditya; Yulianto, Dinan; Warsino , Fathiyyah
Mobile and Forensics Vol. 3 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i2.5517

Abstract

There are many problems related to water in Indonesia, ranging from floods to water crises. One of the things we can do is manage water consumption so that we can use water effectively and wisely. The problem of excessive anggd unwise water use can be overcome by water consumption management.. In this study, a water consumption management system incc the household is created, which includes monitoring and control so that we can monitor and control it and also have a history of daily water use. The system will be made using Arduino Uno as controller and will be displayed on the LCD and the website. Based on research, the following conclusions were obtained: Successfully implemented IoT based home water monitoring using Arduino, Successfully designed a tool for water tank management based on Arduino Uno, the results obtained by the tool can detect when the water is full, and the water pump turns off automatically so that the water does not fill again and the tank will not be full. The average error of this system is 6.16 %. The bigger volume will make the error value decrease.
Digital Forensic Analysis of Telegram Messenger App in Android Virtual Environment Raza, Ahmed; Bilal Hassan, Muhammad
Mobile and Forensics Vol. 4 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v4i1.5537

Abstract

The paper provides an in-depth analysis of the artifacts generated by the Telegram Messenger application on Android OS which provides secure communications between individuals, groups, and channels. Since the past few years, the application went through major changes and updates and the latest version’s artifacts varied from the previous ones. Our methodology is based on the set of experiments designed to generate the artifacts from various use cases on the virtualized environment. The acquired artifacts such as messages, their location, and data structure how they relate to one another were studied and were then compared to the older versions. By correlating the artifacts of newer version with the older ones, it shows how the application have been upgraded behind the scenes and by incorporating those results can provide investigators better understanding and insight for the certain evidence in a potential cybercrime case.
Room Security System Design using ESP32 CAM with Fuzzy Algorithm Putra, Wahyu Sukestyastama; Andy Setyawan
Mobile and Forensics Vol. 3 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i2.5554

Abstract

At this time, security becomes an important thing that must be fulfilled. Especially a room that has valuables. Currently, the average room security only uses conventional methods, which are very easy to break. Therefore, An Intelligent security system is needed to maintain security in a room. An Intelligent security system is a system that can detect everything automatically and can be monitored remotely using the internet or better known as IoT (Internet of Things). This system uses a microcontroller as the primary part of running the system and is supported by several modules such as the PIR infrared motion sensor module, door window magnetic sensor module, camera module, and buzzer alarm module. The door & window magnetic sensor module serves as the first security, which, when the door/window is open, will give a warning via the buzzer alarm module. While the PIR infrared motion sensor module functions as second security which if motion is detected in a room, it will trigger the camera module to take pictures in the room. The results of this system will be sent directly to Android via the Telegram application using a bot. This Telegram bot will send data in text and images from the system to Android directly.
Classification of Tiles using Convolutional Neural Network Ramadayanti, Susanti Aulia; Prahara, Adhi
Mobile and Forensics Vol. 3 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i2.5643

Abstract

Tiles are one of the building materials with various types that can make a residence more elegant, attractive, and colorful. However, not all people know about the types of tiles and their advantages. Therefore, a Convolutional Neural Networks (CNN) based method is proposed to make it easier for people to accurately recognize tiles based on their types and know their advantages. The purpose of this paper is to classify the types of tiles using CNN which is based on VGG16 model. The proposed method classifies tiles into 6 classes, namely granite, limestone, marble, motifs, mosaics, and terrazzo. This research uses 186 training data, 96 validation data and 60 test data with image resolution of 224x224. Based on the experiments, the training process produces 100% of training accuracy and 94% of validation accuracy. The testing process achieves 98.33% accuracy which can be concluded that the proposed CNN model able to classify the types of tiles well.
The Practices of Artificial Intelligence Techniques and Their Worth in the Confrontation of COVID-19 Pandemic: A Literature Review Mijwil, Maad; Al-Mistarehi, Abdel-Hameed; Mutar, Dhamyaa Salim
Mobile and Forensics Vol. 4 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v4i1.5691

Abstract

Today, the medical society is living in the era of artificial intelligence, which is developed and becomes more famous thanks to the coronavirus disease of 2019 (COVID-19) pandemic, which has given the space for artificial intelligence to appear more influential in analyzing medical data and providing very accurate results. This science has deservedly been able to achieve an excellent and vital position among healthcare workers, and it has become a necessary element of their work because of its a great potential for practical decision-making. The prospects of using intelligent systems in the medical field are deemed essential in the health division due to their ability to analyze big data and give exact results, aiming to improve the health of citizens and save their lives. In this article, a set of important information about the vital role of artificial intelligence in the medical field is highlighted. In addition, how this science does manage to confront SARS‐CoV‐2 by highlighting a set of investigations and analyses in predicting the spread of the virus, tracking infections, and diagnosis of cases through chest x-ray images of COVID-19 patients. The database of this article covered more than 40 studies between 2020 and 2021 and investigated the effects of utilizing artificial intelligence techniques in analyzing SARS‐CoV‐2 data. These studies are gathered from PubMed, NCBI, google scholar, Medrxiv, and other sites. This article includes a plethora of information about artificial intelligence and SARS‐CoV‐2. The findings confirm that artificial intelligence has a significant role in the healthcare domain, and it is advised to utilize its applications in the decision-making method.  
A Forensic Analysis of Video Streaming Activities on Android Applications Ahmad, Adil; Hussain, Mehdi
Mobile and Forensics Vol. 4 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v4i1.5762

Abstract

Mobile applications of video streaming platforms store a lot of information on mobile devices which can have both positive and negative impacts. Positive, in the sense that it could assist law enforcement agencies in solving crime, and the negative impact is that it could be accessed by malicious actors. In this study, we forensically investigate the Netflix, Amazon Prime Video, and iFlix android applications. The major focus is on identifying stored artifacts on the mobile devices left behind by the android video streaming applications. It will give law enforcement agencies and forensic investigators a clear direction when it comes to extracting evidence to solve a crime. On the other hand, it will notify the mobile application developers on how to further improve the security of their mobile applications.  
Modeling of Split Ring Resonator for Harvesting Electromagnetic Energy with Resonant Frequency of 950 MHz
Mobile and Forensics Vol. 4 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v4i1.5870

Abstract

The use of a split ring resonator (SRR) as an electromagnetic energy harvester can increase the flexibility of electronic devices because the rechargeable power does not require the connection of cables and batteries. The energy used in the electromagnetic 950 MHz implies one of the frequencies of the wireless network en masse in the room. The objection in this research is to find out how to design an SRR that has a resonant frequency of around 950 MHz, and how to know its characteristics. Based on previous research, variations were carried out with three measurement parameters which were carried out separately and simulated using CST software to achieve a resonant frequency of 950 MHz. The results of the simulation and design process with CST software are three SRR models which are then named SRR 1, SRR 2, and SRR 3. SRR 1 has a ring width 5.6 mm,a slit width 2.7 mm, a ringside length 35 mm, and a ring plate thickness 0.017 mm. SRR 2 has 2.9 mm in a ring width, 10.8 mm in a slit width, 35 mm in a  ringside length, and 0.017 mm in a ring plate thickness. SRR 3 has a ring width 2.9 mm, a slit width of 2.7 mm, a ringside length of 32.25 mm, and a ring plate thickness of 0.017 mm. SRR is expected to obtain energy from wireless network energy that is often used indoors.
A Comparative Study of Technology Approaches in Using Online Marketing Strategies for Small and Medium Enterprises in Indonesia During the COVID-19 PANDEMIC
Mobile and Forensics Vol. 3 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i2.6017

Abstract

The impact of the coronavirus pandemic has been felt in the business and financial world. In a fairly short time, marketing patterns have changed, especially when social distancing is enforced and micro-restrictions. Business actors have to rack their brains to be able to market their products or services to consumers as a brand strategy to survive amid the coronavirus pandemic. Business people optimize online marketing and digital branding to communicate with their target consumers. The COVID-19 PANDEMIC has also accelerated digitalization in the marketing sector. Online sales are one of the solutions to the limited physical movement of people to visit shopping centres. The switch to online marketing is also one strategy that determines whether or not a product can survive during a pandemic. This study describes how small and Medium Enterprises in Indonesia face the Covid 19 pandemic. It is hoped that this literature study can provide an overview of the condition of MSMEs in Indonesia during the pandemic to improve welfare through online marketing.

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