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Ahmad Azhari
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Magister Teknik Informatika Jl. Prof. Dr. Soepomo SH, Janturan, Warungboto, Yogyakarta 55164
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INDONESIA
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. 1 (2021)" : 5 Documents clear
Mobile Dictionary For Hitu Ethnic Language Nurlete, Fauzan Yuusril; Fatkhurohman, Agus
Mobile and Forensics Vol. 3 No. 1 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i1.998

Abstract

Indonesians have many diverse ethnic groups. Each tribe has different traditions and cultures. As with language, each tribe has a different local language to communicate and interact with their community and environment. Hitu is one of the villages (Negeri) on Ambon Island, Central Maluku Regency. People in Tanah Hitu communicate every day using the Hitu language. Hituese is one of the local languages in Indonesia. The Hitu Country dictionary application is a mobile-based application that can make it easier for the people of Hitu Village to find translations from Hitu - Indonesian - English or vice versa. This is because many foreign and domestic tourists visit Hitu Village. People in Hitu can certainly speak Indonesian, but not all are able to speak it fluently. Therefore, this dictionary was created to facilitate the community in Hitu. This mobile application can display vocabulary translations that can be searched from Hitu to Indonesian and Indonesian to Hitu or vice versa. This dictionary will use Android-based mobile devices and will also take advantage of current developments that are very sophisticated. The Hitu dictionary application will be easy to carry anywhere and can be accessed every day.
Naive Bayes for Thesis Labeling Nurhayati, Fitria; Khusna, Arfiani Nur; Saputra, Dimas Chaerul Ekty
Mobile and Forensics Vol. 3 No. 1 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i1.3763

Abstract

The thesis preparation in the Department of Informatics Universitas Ahmad Dahlan is divided into two areas of interest, namely Intelligent Systems and Software and Data Engineering. Existing thesis title data is only used as an archive and has never been processed or classified to determine the trend of thesis topics based on student interest each year. The stages include data collection, the data is divided into two parts (training data and test data), manual labeling of training data, text preprocessing, and classification using Naive Bayes. The results show the trend of thesis title taking from 2013 to 2018 shows the thesis trend in the field of Intelligent Systems and Software. Accuracy testing uses Confusion Matrix and K-Fold Cross Validation with a k value is 10, has a value of 94.60%, a precision of 97.30%, and a recall of 85.70%.
Malware Static Analysis on Microsoft Macro Attack Aresta, Redho Maland; Pratomo, Ero Wahyu; Geraldino, Vicky; Fauzi, Achmad; Santoso, Joko Dwi
Mobile and Forensics Vol. 3 No. 1 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i1.3764

Abstract

In the 21st century, technology is increasing rapidly, the increase in technology is the potential for cyber attacks on today's technological infrastructure. Malware that is designed to damage computer systems without the owner's knowledge at a considerable cost becomes a cyber crime. This macro malware analysis is to study the code and behavior of malware when run on an operating system. To analyze this malware, this study uses a static analysis method by analyzing malware without running the program.
Live Forensics on GPS inactive Smartphone Anwar, Nuril; Mardhia, Murein Miksa; Ryanto, Luthfi
Mobile and Forensics Vol. 3 No. 1 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i1.3847

Abstract

Google is known to still track the user's location despite the GPS settings and location history in smartphone settings has been turned off by the user. This requires special handling to prove the location on smartphones with inactive GPS and view its Location History previously used by user. The research investigates if Google is still recording its user data location. Live Forensic requires data from the running system or volatile data which is usually found in Random Access Memory (RAM) or transit on the network. Investigations are carried out using a Google account with a method used by live forensics to obtain results from the location history. Smartphones have been checked manually through data backup through custom recovery that has been installed. When checking the backup filesystem, turned out that no location data is stored. Therefore, researchers conducted an analysis on the Google Account which was analyzed using a forensic tool to analyze cloud services to obtain location data results. The results of the analysis carried out obtained a similarity in location from 8-days investigations. Google can still find the location of smartphones with GPS disabled, but the location results are not accurate. Google can store user location data via cellular networks, Wi-Fi, and sensors to help estimate the user's location. The process of extracting the results from the google maps log using a Google account will be analyzed using the Elcomsoft Cloud eXplorer and Oxygen Forensic Cloud Extractor so that the log location results are still available by Google.
Long Short-Term Memory on Bitcoin Price Forecasting Purwaningsih, Tuti; Kusumandari, Gita Evi
Mobile and Forensics Vol. 3 No. 1 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v3i1.3857

Abstract

In modern times, many people rely on sophisticated technology to meet their needs. Already many technologies today can replace the role and function of society in the field of investment. There are many ways to fulfill the lives of these people, such as Bitcoin investment. Bitcoin is a digital asset that only exists in digital form by means of peer-to-peer work. To maximize profits, it is necessary to forecast Bitcoin prices when it will go up or down. This study tries to address the changes in Bitcoin prices whether to go up or down the next day with an artificial neural network model. The editor used in this study is the LSTM method. The data used is the Bitcoin blockchain data, namely time-series data in a one-day period from 1 January 2018 to 31 May 2019. Obtained forecasting results in June 2019 for Bitcoin to rise slowly and an accuracy value of 97.5% based on MAPE with the first day worth $8901.50.

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