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All Journal HAYATI Journal of Biosciences MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Ilmu Pertanian Indonesia MEDIA KONSERVASI Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences Jurnal Ilmu Lingkungan Indonesian Journal of Applied Sciences BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Penelitian Hutan dan Konservasi Alam Jurnal Penelitian Hasil Hutan JURNAL PEMULIAAN TANAMAN HUTAN JURNAL PERBENIHAN TANAMAN HUTAN AGRIVITA, Journal of Agricultural Science Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) International Journal of Advances in Intelligent Informatics JURNAL BIOLOGI INDONESIA ZOO INDONESIA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Chemistry Forest and Society Jurnal Ilmu dan Teknologi Kayu Tropis Journal of Sylva Indonesiana Jurnal Penelitian Hasil Hutan Zoo Indonesia JURNAL HUTAN TROPIS Journal Of Sustainability Perspectives Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Sustainability Perspectives Policy Brief Pertanian, Kelautan, dan Biosains Tropika Indonesian Journal of Forestry Research
ISKANDAR ZULKARNAEN SIREGAR
Department Of Silviculture, Faculty Of Forestry, Bogor Agricultural University, Academic Ring Road Campus IPB Dramaga, PO Box 168, Bogor 16680, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Public Health Social Sciences Veterinary Other

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Journal : International Journal of Advances in Intelligent Informatics

 1 
Analysis and review of the possibility of using the generative model as a compression technique in DNA data storage: review and future research agenda Muhammad Rafi Muttaqin; Yeni Herdiyeni; Agus Buono; Karlisa Priandana; Iskandar Zulkarnaen Siregar
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.1063

Abstract

The amount of data in this world is getting higher, and overwriting technology also has severe challenges. Data growth is expected to grow to 175 ZB by 2025. Data storage technology in DNA is an alternative technology with potential in information storage, mainly digital data. One of the stages of storing information on DNA is synthesis. This synthesis process costs very high, so it is necessary to integrate compression techniques for digital data to minimize the costs incurred. One of the models used in compression techniques is the generative model. This paper aims to see if compression using this generative model allows it to be integrated into data storage methods on DNA. To this end, we have conducted a Systematic Literature Review using the PRISMA method in selecting papers. We took the source of the papers from four leading databases and other additional databases. Out of 2440 papers, we finally decided on 34 primary papers for detailed analysis. This systematic literature review (SLR) presents and categorizes based on research questions, namely discussing machine learning methods applied in DNA storage, identifying compression techniques for DNA storage, knowing the role of deep learning in the compression process for DNA storage, knowing how generative models are associated with deep learning, knowing how generative models are applied in the compression process, and knowing latent space can be formed. The study highlights open problems that need to be solved and provides an identified research direction.
Biological constraint in digital data encoding: A DNA based approach for image representation Muttaqin, Muhammad Rafi; Herdiyeni, Yeni; Buono, Agus; Priandana, Karlisa; Siregar, Iskandar Zulkarnaen; Kusuma, Wisnu Ananta
International Journal of Advances in Intelligent Informatics Vol 11, No 3 (2025): August 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i3.1747

Abstract

Digital data encoding is crucial for communication and data storage, but conventional techniques, such as ASCII and binary coding, have drawbacks in terms of processing speed and storage capacity. A potential substitute with parallel processing and high-capacity storage is DNA-based data encoding. The goal of this research is to develop a digital data encoding technique based on DNA, while considering biological constraints such as homopolymer and GC-content. The process involves converting image pixel values into binary format, followed by encoding into DNA sequences, ensuring they meet biological constraints. The validity of the resulting DNA sequences is assessed through transcription and translation processes. Additionally, Multiple Sequence Alignment analysis is conducted to compare the similarities between the encoded DNA sequences. The results indicate that the DNA sequences from MNIST images share similar characteristics, reflected in the phylogenetic tree's close clustering. Multiple Sequence Alignment analysis shows that biological constraints successfully preserved the core visual features, allowing accurate clustering. However, this method also faces drawbacks, particularly in the reduction of visual information and sensitivity to changes in image intensity. Despite these challenges, DNA-based encoding shows potential for digital image representation. Further development, particularly the integration of deep learning, could lead to more efficient, secure, and sustainable data storage systems, especially for image data.
Co-Authors . Yulianti Aam Aminah Abdul Munif Aditya Nugroho Adzkia, Ulfa Agus Astho Pramono Agus Buono Agus Purwito Agus Wahyudi Alami, Tegar Alfi Hudatul Karomah Ali Mukmin Aminah . Aminuyati Andi Sukendro Andry Indrawan Ani Suryani Anita, Vilda Puji Dini Arida Susilowati Iswanto Arif Satria Arrofaha, Nawwall Atok Subiakto Ayyasy, Yahya Baiquni Rangkuti, Ahmad Basuki Wasis BUDI TJAHJONO Budi Tjahjono Cartealy, Imam Civi Cecep Kusmana Corryanti Corryanti Corryanti Corryanti Dede J Sudrajat Dede J. Sudrajat Dede J. Sudrajat Deden Derajat Matra Detty Sumiyati Dida Syamsuwida Dida Syamsuwida Dien Atin Boritnaban Divi Handoko Dodik Ridho Nurrochmat Edje Djamhuri Endah R Palupi Endah Retno Palupi Erdy Santoso Ervizal A.M. Zuhud Ervizal AMZU Eryna Elfasari Rangkuti Fifi Gus Dwiyanti Fifi Gus Dwiyati Fredisa, Yoga Harisson, Rhett D. Hartati Hartati Hartati, N Sri Henti Hendalastuti R., Henti Hendalastuti Henti Rosdayanti Henti Rosdayanti, Henti IBNUL QAYIM Imam Wahyudi Indrawan, Imam Wahyudi IPB, BPKB Irdika Mansur Irsyad Kamal Ishak Yassir Istomo . Karlisa Priandana Kaswanto, Regan L. Kissinger Kissinger Ko Harada Koichi Kamiya Koichi Kamiya Kosasih, Akhmad Kustiyarini, Nur Fadila KUSUMADEWI SRI YULITA Laswi Irmayanti Laswi Irmayanti, Laswi Latifah K. Darusman Latifah K. Darusman Lina Karlinasari Lutfy Abdulah Majiidu, Muhammad Matra, Deden Derajat Mohamad Rafi Mr. Kissinger Muhammad Majiidu Muhammad Rafi Muttaqin Muharam, Karima Fauziah Murdaningsih Haeruman K. Muttaqin, Muhammad Rafi Muttaqin, Zainal Nasution, Tegar Alami Nelly Anna Nurul Khumaida Nyoto Santoso Prijanto Pamoengkas Putra, Heriansyah Rachmat, Henti Hendalastuti Rahila Junika Tanjungsari Rahman, Mohamad Miftah Rangkuti, Reyhan Abdillah RIKA RAFFIUDIN rima siburian Rina Mardiana Septaningsih, Dewi Anggraini Silalahi, Mangarah Siregar, Ulfa Juniarti Situmorang, Rizki Andista Pandapotan Slamet, Alim Setiawan Sri Wilarso Budi Supatmi Supatmi Supriyanto Supriyanto Supriyanto Supriyanto Suria Darma Tarigan Suryanto Suryanto Suseno Amien Susila, Susila Syaiful Anwar Syamsidah Rahmawati, Syamsidah Tedi Yunanto Tedi Yunanto Ulfah Juniarti Siregar Ulfah, Mariyana Ulfah, Mariyana Utami, Anisa Dwi Wati, Ridha Wijayanto, Nurheni WINDRA PRIAWANDIPUTRA, WINDRA Wisnu Ananta Kusuma Yayat Hidayat Yulianti Bramasto Zainal Muttaqin