Decision Support System Using Expert-Fuzzy Method for Real-Time Measurement of Acid Rain and Policy Formulation in the Paddy Plants using Normative Juridical Analysis - Dalam bentuk buku karya ilmiah

ARDIANSYAH RAMADHAN

Informasi Umum

Kode

24.05.191

Klasifikasi

511.313 - fuzzy logic

Jenis

Karya Ilmiah - Thesis (S2) - Reference

Subjek

Thesis

Dilihat

36 kali

Informasi Lainnya

Abstraksi

Industrialization and urbanization have led to acid rain as the most critical environmental impact of air pollution, resulting in crop contamination and damage. However, there are still areas for improvement in the regulatory framework and application of technology, hindering the provision of comprehensive environmental data. In addition, the current network of monitoring points needs to be stronger to represent the important need for comprehensive water quality assessment in Bandung Regency. This research seeks to establish a regulatory framework to prevent the decline of rice crops affected by acid rain. This effort utilizes a rainwater monitoring tool developed by Telkom University and the National Research and Innovation Agency. Juridical analysis underlies the formulation of regulations and complements existing tools through real-time data validation using an information system that integrates expert-fuzzy systems and decision support systems. The findings regarding regulatory formulation highlight the potential for applying real-time rainwater quality measurement technology as an important aspect of information systems. The successful operation of this system was validated on six rainy days, covering parameters such as pH, temperature, conductivity and rainfall. In particular, the confidence level for each parameter is around 95%. The average of each parameter shows relatively the same between raw and valid. The raw and valid average values are 5.997 and 5.994 with a difference of 0.003 for the pH, 14.478 ms/cm and 14.485 ms/cm with a difference of 0.007 ms/cm for the conductivity, 25.011? and 25.031? with a difference of 0.020? for the temperature, making it easier to make the right decision. Based on the average data, acid rain occurs at one of the data points, while the other points are neutral; there may be neutralizing factors, <a name="_Hlk166784666">Na+, K+, Ca2+, Mg2+, and NH4+ cations, as well as Cl-, NO3-, and SO42-</a> anions which are strongly correlated with the pH value. This study underscores the important role of information systems that use real-time validation in significantly improving data acquisition. This system allows meaningful comparison with laboratory results, regardless of the interpretation and decisions made regarding individual parameters.