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All Journal Seminar Nasional Informatika (SEMNASIF) JITEK (Jurnal Ilmiah Teknosains) SMARTICS Journal INTEK: Informatika dan Teknologi Informasi Surya Abdimas Jurnal Sistem Cerdas ComTech: Computer, Mathematics and Engineering Applications Progresif: Jurnal Ilmiah Komputer Cyber Security dan Forensik Digital (CSFD) Jurnal Dialektika Informatika (Detika) Journal Of Information System And Artificial Intelligence Malcom: Indonesian Journal of Machine Learning and Computer Science Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Informasi Kesehatan Nasional Jurnal Lentera Pengabdian SmartComp Akademika
Ike Yunia Pasa
Universitas Muhummadiyah Purworejo
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : SMARTICS Journal

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Analisis Forensik Untuk Mendeteksi Pesan yang Disembunyikan pada Short Message Service Menggunakan Aplikasi Berlisensi Open Source Ike Yunia Pasa; Dedy Hariyadi
SMARTICS Journal Vol 6 No 2: SMARTICS Journal (Oktober 2020)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v6i2.4703

Abstract

Anti Forensic Techniques aim to complicate the process of investigating a crime. Hiding an SMS message with the aim or support of a crime can be categorized as an Anti Forensic technique. On smartphones with the MIUI operating system, it is equipped with features to block an SMS message and even hide an SMS message. The existence of a feature to hide SMS messages will complicate the investigation process if this feature uses to support crime. This research proposes a forensic analysis method to detect hidden SMS messages using open-source software. Differences in the process of retrieving digital evidence will affect the results of forensic analysis. So in this research to compare the results of the analysis of two digital forensic software to detect hidden messages.
Co-Authors Agung Nugroho Ahamd Mubaroq, Masnu Ahmad Kurniawan Al Fatoni, Firmansyah Anam, M Khairul Anggoro, Cahyo Anisa Rahayu Arif Tri Widiyatmoko Arum Ratnaningsih Aviani, Anggi Cahyo Anggoro Daniel Alexander Octavianus Turang Dedy Hariyadi Delphine Yusticia Ratnasari Dhea Kalingga Lintang Dwiki Andrianto Efrizoni, Lusiana Faizatun Karomah Fakhri Khairi Hastiningrum, Citra Annisa Irvan Rifa'i Jumasa, Hamid Muhammad Kartina Diah K. W. Krisna Widatama Lidia Putri Fitriana Lindawati, Meitri Muhammad Bambang Firdaus Murhadi Murhadi Murhadi Murhadi Murhadi Nur Wachid Adi Prasetya Nurhayati Nurhayati Nurhayati Nurul Bahiyah Nurul Isnaini Febriarini Prisnadela Purwanto, Muhammad Ardi Putu Sudira Ratih Hafsarah Maharrani Sahria, Yoga Satria, Mohamad Ganda Suryadi, Agung Tjahjo Saputro, Wahju Tri Rochmadi Wahju Tjahjo Saputro Wuri Setyowardani Yoga Sahria Yoga Sahria