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Ahmad Azhari
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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 5 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2021)" : 5 Documents clear
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.
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.
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.
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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