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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING JOURNAL OF INFORMATICS AND COMPUTER SCIENCE International Journal of Engineering, Science and Information Technology Jurnal Tika Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 INOVTEK Polbeng - Seri Informatika
Risawandi, Risawandi
Universitas Malikussaleh
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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Smart Valve Irrigation System Using Fuzzy Logic for Mustard Pranidana, Abdi Mulia; Qamal, Mukti; Risawandi, Risawandi
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10024

Abstract

This study presents the design and implementation of a smart irrigation system using Mamdani fuzzy logic integrated with IoT-based environmental sensors. The system utilizes an ESP32 microcontroller, DHT22 temperature sensor, capacitive soil moisture sensor, and a solenoid valve to perform adaptive irrigation based on real-time environmental conditions. The fuzzy logic engine processes sensor inputs and determines the irrigation intensity through centroid-based defuzzification. A web-based dashboard was developed using PHP and JavaScript to monitor temperature, soil moisture, and irrigation status in real time. The system was tested on mustard greens (Brassica juncea L.) for 12 hours, resulting in a 35% water usage reduction compared to manual watering methods while maintaining optimal soil moisture. This approach demonstrates a promising solution for sustainable and efficient smart agriculture.
Clustering Coastal Areas Based on Aquaculture Productivity in North Aceh Regency Using K-Means Algorithm Ulfa, Septia Mulya; Dinata, Rozzi Kesuma; Risawandi, Risawandi
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10094

Abstract

This study aims to cluster coastal subdistricts in North Aceh Regency based on the productivity of seven key aquaculture commodities milkfish, vannamei shrimp, tiger shrimp, tilapia, mojarra, grouper, and crab using the K-Means algorithm. The dataset, sourced from 15 coastal subdistricts, was normalized using the Z-Score method. The optimal number of clusters was determined using the Elbow Method, and clustering performance was evaluated with the Silhouette Score, yielding a value of 0.5293, indicating a moderately well-defined structure. The resulting clusters reflect distinct productivity levels: Cluster 0 (low), Cluster 1 (moderate), and Cluster 2 (high). A two-dimensional PCA plot was used to visualize the clusters, showing clear separations among them. These findings offer valuable insights for regional planners and policymakers in developing targeted aquaculture strategies and optimizing resource allocation, particularly for underperforming areas.
Co-Authors Angaw, Mariance Wulan Asrianda Asrianda Asrianda Asrianda Asrul Fahmi Bustami Bustami Bustami Bustami Dahlan Abdullah Eva Darnila Fadlisyah Fadlisyah Fuadi, Wahyu Furqan, Hafizul Gunarwan Gunarwan Gunarwan, Gunarwan Halimatun Sakdiah Halimatun Sakdiah, Halimatun Helmi Naluri Julita, Rina Khainesya, Khainesya Lidya Rosnita Luqman Nul Hakim M. Irsan Maulana Amri Muhammad Fikry Muhammad Iqbal Muhammad Wahyu Pohan Mukti Qamal mulkal razali Mutammimul Ula Nurdin Nurdin Nurhaliza Bin Aras Nursanti Nursanti Nursanti Nursanti Nurul Aflah Nurul Aflah Olivia, Karina Pranidana, Abdi Mulia Rian Kelana Putra Riska Yanti RISKA YANTI, RISKA Rizal S.Si., M.IT, Rizal Rosdian dian rosdian rosdian, Rosdian dian Rozzi Kesuma Dinata Rozzy Rozzy Safwandi Senda, Tito Afwi Tito Afwi Senda Ulfa, Septia Mulya Wahyu Fuadi Wahyu Fuadi Yesy Afrillia Zahrah, Violita Aditya Zainannur Nasution Zakiatul Husna