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All Journal Journal of Informatics and Communication Technology (JICT)
Nanang Cahyadi
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Mathematics

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BER Performance Analysis Over AWGN Channeling For GFSK Modulation To Transmitting Unstructured Data Nanang Cahyadi
Journal of Informatics and Communication Technology (JICT) Vol 4 No 2 (2022)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/j_ict.v4i2.139

Abstract

The first step to enable the optimize the use of information exchange radio-based could be started by providing research on supporting devices. Research on supporting devices and their application, especially in providing service to exchange text-based information is crucial and opens up chances to solve the rest challenges such as signal power, data transfer speed, and security. This research aims to evaluate signal behavior from design information text-based exchange using radio transmission. To achieve the goal, this research adopts a quantitative methodology by comparing theoretical results and simulation results of the design. tuning samples per symbol could give better BER with lower EbNo. The data also demonstrated great results that show using 2 samples per symbol could deliver the best performance that has lower BER and lowest EbNo compared to the rest of the data, including the estimated BER using coherent FSK. It affects the GFSK signal not only very smoothly compared to the FSK signal, but also being able to achieve a minimum BER with the IEEE standard without requiring excessive energy by simply setting samples per symbol at 2. This can be seen from the results of BER 10-3 with energy EbNo was 6.5 dB.
A Comparative Study and Analysis of Forensic Artifacts of WhatsApp and Telegram on Android Devices Rana Zaini Fathiyana; Yudiansyah -; Nanang Cahyadi; Dinda Jaelani Hidayat
Journal of Informatics and Communication Technology (JICT) Vol 4 No 2 (2022)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/j_ict.v4i2.143

Abstract

Numerous instant messaging are available for mobile devices as a cheaper alternative over operator-based text messaging via SMS. Furthermore, instant messaging allow the user to exchange textual messages, images, audio, and videos. However, the ease offered by instant messaging also had a negative impact including making instant messaging as a criminal land. This paper focuses on conducting forensic data analysis of two popular instant messaging applications on Android smartphones; WhatsApp and Telegram. In this analysis, we use open-source tools and software applied on non-rooted Android devices. By using the result, an analyst will be able to read, and reconstruct the chronology of the messages and the list of contact and also know the difference in data structures obtained from these two instant messaging applications.
Co-Authors Dinda Jaelani Hidayat Glenn Frekly S. Tapa Ngale Rana Zaini Fathiyana Yudiansyah Yudiansyah Yulta Kadang