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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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Seleksi Benih Padi Unggul Dengan Penerapan Metode Fuzzy dan K-Means Clustering Suprapty, Bedi; Malani, Rheo; Gaffar, Achmad Fanany Onnilta
J-Icon : Jurnal Komputer dan Informatika Vol 12 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v12i2.18159

Abstract

This study aims to develop a superior rice seed selection method using a Fuzzy and K-Means Clustering approach, with a case study in Kutai Kartanegara Regency, East Kalimantan Province, one of Indonesia's major rice-producing regions. The Fuzzy method is used to handle uncertainties in assessing seed characteristics, allowing each seed attribute (such as plant height, amylose content, grain weight, and yield) to have a membership value within specific categories. This fuzzification process provides flexibility in evaluating seed quality in stages, which is then converted through defuzzification to obtain a final score determining seed quality. K-Means Clustering plays a role in grouping seeds based on characteristics that have been assigned membership values. This algorithm divides seed data into several clusters, such as low, medium, and high quality, by calculating the distance between seed characteristics and each cluster's centroid. This iterative process yields seed groups with similar characteristics, simplifying recommendations for superior varieties. The evaluation was conducted using clustering accuracy metrics and silhouette score validation to ensure cluster cohesion and separation. The study results demonstrate that this method effectively identifies high-quality rice seeds with high accuracy. Recommended varieties include standard rice seeds like Mengkongga and Ciherang, as well as superior varieties like Inpari 32, Inpari 48, Padjajaran Agritan, Inpari IR Nutri Zinc, and Pamera, which are well-suited to Kutai Kartanegara’s specific conditions. Implementing this method is expected to assist farmers in selecting high-quality seeds, thereby supporting increased crop productivity in the study area.
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.
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 Wikarno, Wikarno