Model Fuzzy Logic pada Air Asam Tambang untuk Prediksi Pencemaran Sungai – Literature Review

Ardiawan Ardiawan, Tedy Agung Cahyadi, Herlina Jayadianti, Rika Ernawati, Muhammad Iqbal Ansori, Ilham Firmansyah

Abstract


Banyak penelitian telah dilakukan untuk mencari model prediksi pencemaran air asam tambang pada sungai di berbagai bidang, sehingga perlu di-review kembali untuk membantu mengatasi proses pencemaran yang terjadi dalam perusahaan tambang. Review ini dilakukan dengan membandingkan hasil dari setiap model yang telah diuji dalam beberapa penelitian sebelumnya, menggunakan metode kuantitatif. Model yang dibandingkan dalam penelitian ini antara lain adalah Fuzzy Inference System (FIS) dan Fuzzy Inference System (FIS) Metode Mamdani. Hasil review ini menunjukkan bahwa model fuzzy logic memiliki beberapa kelebihan dibandingkan dengan metode lain. Metode fuzzy logic dapat memberikan hasil yang tepat berdasarkan perancangan, implementasi, dan hasil pengujian baik dari sistem pendukung keputusan kualitas air asam tambang pada sungai berupa model Tsukamoto maupun Mamdani, yang dapat menentukan apakah kualitas air tersebut memenuhi baku mutu, TR, TS, atau TB. Oleh karena itu, model fuzzy logic sangat direkomendasikan untuk digunakan dalam perhitungan prediksi pencemaran air asam tambang pada sungai.

 

Extensive research has been conducted to develop a predictive model for acid mine drainage pollution in rivers across various sectors, necessitating a comprehensive review to aid in addressing the pollution challenges faced by mining companies. This review involved a comparative analysis of the results from different models tested in previous studies, employing quantitative methods. The study compared the Fuzzy Inference System (FIS) model and the FIS Mamdani Method. The review concluded that the fuzzy logic model offers several advantages over other methods. The fuzzy logic method can yield results based on the design, implementation, and testing of the decision support system for acid mine drainage water quality in rivers, using both the Tsukamoto and Mamdani models. These models can ascertain whether the water quality meets the standards or is lightly, moderately, or heavily polluted. Therefore, the fuzzy logic model is recommended for predicting acid mine drainage pollution in rivers.


Keywords


Fuzzy Logic; Air Asam Tambang; Pencemaran; Sungai

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References


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DOI: https://doi.org/10.31284/j.semitan.j.2023.v2i1.5008

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