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This Author published in this journals
All Journal Journal of Information Systems and Informatics Nusantara Journal of Artificial Intelligence and Information Systems
Oka Ardiana Banaty
Ministry of Agriculture, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management

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A Fuzzy Multi-Criteria Decision-Making Framework for Soil-Based Cultivation Block Selection in Citrus Orchards Adi Yusuf Arrasyid; Oka Ardiana Banaty; Adrinoviarini Adrinoviarini; Niken Ayu Widya Ningrum
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 2 No. 1 (2026): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v2i1.2065

Abstract

Selecting the optimal cultivation block in a multi-plot citrus orchard is a hard multi-criteria problem when the soil criteria mix categorical and numerical measurements. Descriptors like Munsell color, soil structure, and consistency sit alongside numerical pH, and conventional agronomic assessment offers no systematic way to weigh them against each other. This study builds a decision support system (DSS) that pairs the fuzzy analytic hierarchy process (FAHP) with two ranking methods, TOPSIS and Simple Additive Weighting (SAW). A rule-based triangular fuzzy number (TFN) protocol first converts the categorical descriptors into numerical inputs through documented rules. Field data came from seven plots across five citrus variety blocks at IP2SIP Tlekung, BRMP Jestro, Batu, East Java, covering texture, structure, color, consistency, and pH. FAHP weights gave a consistency ratio (CR) of 0.0446. Both TOPSIS and SAW ranked plot A1 (Keprok Batu 55 II, 4-year stand) first and A2 (Keprok Batu 55 I, 15-year stand) last, with Spearman ρ = 0.8929 (p = 0.0068). The top and bottom ranks were held across all 10 sensitivity scenarios. The framework gives orchard managers a reproducible way to prioritize block-level soil intervention, marking A1 as the benchmark block and A2 as the priority for pH correction.
IoT-Based Smart Fertigation System for Citrus Plants using Fuzzy Logic Control Ircham Ali; Adrinoviarini Adrinoviarini; Oka Ardiana Banaty; Mohammad Insan Kamil
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1318

Abstract

This study develops and evaluates an IoT-based smart fertigation system for citrus plants using a fuzzy logic control (FLC) algorithm integrated with an ESP32 microcontroller and wireless sensors. The research aims to address the limitations of conventional fertigation practices that rely on fixed schedules without considering real-time soil and climate conditions, which often result in water inefficiency and nutrient imbalance. The developed system integrates sensors for soil moisture, temperature, and air humidity to automatically regulate irrigation duration through triangular membership functions and a fuzzy inference model consisting of 64 fuzzy rule combinations. Over a 30-day observation period, twelve citrus seedlings aged 3-4 months after grafting were organized into four experimental groups: manual fertigation (MF), manual irrigation (MI), smart fertigation (SF), and smart irrigation (SI). Experimental findings indicated that the smart fertigation system-maintained soil moisture within a more stable range of 40-55%, and plants in the SF group experienced approximately 7 cm greater height and a twofold increase in leaf count compared to manually irrigated ones. The smart fertigation treatment also produced more uniform, greener, and healthier foliage, signifying balanced nutrient uptake. Overall, the IoT–FLC integration provides a more adaptive and eco-efficient irrigation model that promotes sustainable management of water and nutrients in tropical citrus cultivation.
Co-Authors Adi Yusuf Arrasyid Adrinoviarini, Adrinoviarini Ircham Ali Mohammad Insan Kamil Niken Ayu Widya Ningrum