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All Journal International Journal of Electrical and Computer Engineering Coding: Jurnal Komputer dan Aplikasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JurTI (JURNAL TEKNOLOGI INFORMASI) Building of Informatics, Technology and Science Jurnal Teknologi dan Sistem Tertanam Journal of Telecommunication, Electronics and Control Engineering (JTECE) JIKTI : Jurnal Ilmiah Komputer Terapan dan Informasi The Indonesian Journal of Computer Science SISFOTENIKA
Kartika Sari
Universitas Tanjungpura
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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Journal : International Journal of Electrical and Computer Engineering

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D-RAKE compression for enhanced internet of things data management in air quality monitoring Kartika Sari; Sari, Kartika; Hidayati, Rahmi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2468-2478

Abstract

This study addresses the issue of air pollution in Pontianak, marked by high levels of pollutant particles and chemical compounds that cause respiratory health risks. The research involves essential air quality monitoring using various sensors for temperature, humidity (DHT22), O2 (MQ-135), CO (MQ-7), CO2 (MG-811), and dust (GP2Y1010AU0F), collected real-time, leading to a notable increase in data volume. Due to limitations in internet of things (IoT) devices, there is a need for integration between cloud and IoT through data transmission to reduce the communication time and memory usage. The escalation in sensor data volume requires a lossless compression technique to ensure efficient storage without sacrificing crucial information. Compression plays a vital role in overcoming complex storage challenges, facilitating real-time data access for monitoring, and contributing to sustainable efforts to improve air quality in Pontianak. This research applies the D-RAKE compression method based on basic counting procedures with minimal memory requirements, cost-effective, low-speed microcontrollers commonly used in IoT devices. Despite its simplicity, simulation results indicate that the D-RAKE algorithm outperforms well-established compression methods such as gzip, bzip2, and rar, particularly for data sequences with sparse elements. Moreover, when applied to real- world data, D-RAKE achieves superior compression ratios compared to IoT-focused compression techniques.
Co-Authors AA Sudharmawan, AA Achyar, Athif Tafrihan Aji, Maulana Setia Alfikri, Nadya Syifa Andy Wijaya Anggraini, Yessa Tria Astaman, Andi Ainur Ridha Azhar, Sahari Bayti Widya Rezky Cucu Suhery Elegant, Gustavo Dipo Fitriandini, Laila Herry Prayuda Hirzen Hasfani Ikhwan Ruslianto Immanuel, Immanuel Indriana, Fitrialfi Irma Nirmala Kasliono Kasliono Marettania, Felisitas Muhammad Syamsul Bahri Muharam Rizqi Ananda Niken Candraningrum Rahmawan, Arif Rahmi Hidayati Randily, Dhea Ramadhanti Putri Salsabila, Bella Sari, Fioni Puspa Siti Oktavia Wulandari Suhardi Suhardi Tedy Rismawan Uray Ristian