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All Journal IAES International Journal of Robotics and Automation (IJRA) Jurnal Informatika POSITIF Knowledge Engineering and Data Science Jusikom : Jurnal Sistem Komputer Musirawas Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) J-Icon : Jurnal Komputer dan Informatika
Suprapty, Bedi
Politeknik Negeri Samarinda
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Water level control of small-scale recirculating aquaculture system with protein skimmer using fuzzy logic controller Mulyanto, Mulyanto; Suprapty, Bedi; Gaffar, Achmad Fanany Onnilita; Sumadi, Muhammad Taufiq
IAES International Journal of Robotics and Automation (IJRA) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v12i3.pp300-314

Abstract

The recirculating aquaculture system (RAS) is a land-based aquaculture facility, either open-air or indoors, that minimizes water consumption by filtering, adapting, and reusing water. Solid organic matter from fish waste and food waste directly becomes waste that needs to be eliminated because it is a source of increasing total ammonia nitrogen (TAN), total suspended solids (TSS), total dissolved solids (TDS), and also has an impact on reducing dissolved oxygen (DO). RAS requires a water level control system so the fish tank does not experience water shortages or floods, disrupting the aquatic aquaculture ecosystem. In this study, small-scale RAS is modeled using a 3-coupled tanks system approach with a tank configuration that follows the most straightforward RAS water recirculation process (fish tank, mechanic filter, biofilter). Clean water from the reservoir flows into the fish tank through a protein skimmer. This study applies the fuzzy logic controller (FLC) to control the water level in the protein skimmer and biofilter tanks by controlling the position of several valves where the placement positions of the valves have been determined according to system requirements. The study results show that the tuned single-input FLC has the best average output response characteristics with ts=50, h1ss=49.98, ess=0.02 in protein skimmer and ts=4700, h1ss=39.75, ess=0.25 in the tank system.
Inter-Frame Video Compression based on Adaptive Fuzzy Inference System Compression of Multiple Frame Characteristics Putra, Arief Bramanto Wicaksono; Malani, Rheo; Suprapty, Bedi; Gaffar, Achmad Fanany Onnilita; Voliansky, Roman
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Video compression is used for storage or bandwidth efficiency in clip video information. Video compression involves encoders and decoders. Video compression uses intra-frame, inter-frame, and block-based methods. Video compression compresses nearby frame pairs into one compressed frame using inter-frame compression. This study defines odd and even neighboring frame pairings. Motion estimation, compensation, and frame difference underpin video compression methods. In this study, adaptive FIS (Fuzzy Inference System) compresses and decompresses each odd-even frame pair. First, adaptive FIS trained on all feature pairings of each odd-even frame pair. Video compression-decompression uses the taught adaptive FIS as a codec. The features utilized are "mean", "std (standard deviation)", "mad (mean absolute deviation)", and "mean (std)". This study uses all video frames' average DCT (Discrete Cosine Transform) components as a quality parameter. The adaptive FIS training feature and amount of odd-even frame pairings affect compression ratio variation. The proposed approach achieves CR=25.39% and P=80.13%. "Mean" performs best overall (P=87.15%). "Mean (mad)" has the best compression ratio (CR=24.68%) for storage efficiency. The "std" feature compresses the video without decompression since it has the lowest quality change (Q_dct=10.39%).
Co-Authors Abdul Najib Achmad Fanany Onnilita Gaffar Aldy Gustiannur Rachmat Fariyanti Fariyanti Gaffar, Achmad Fanany Onnilta Lia Dwi Utami Malani, Rheo Muhammad Taufiq Sumadi Mulyanto Mulyanto Mulyanto Mulyanto Roman Voliansky Syamsul Arifin Utami, Lia Dwi Voliansky, Roman Wikarno, Wikarno