Aturan Asosiasi Dengan Standar Storet Pada Model Prediksi Parameter Pendukung Uji Kualitas Air Baku
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Abstrak”Uji laboratorium tentang kualitas air baku pada penyediaan dan pengolahan air bersih memperhatikan parameter air terkait faktor fisika, kimia dan biologi. Analisis kualitas air di laboratorium membutuhkan waktu. Usulan sistem akan mempercepat waktu dengan menganalisis catatan dataparameter air yang ada dalam rekam data PDAM. Aturan asosiasi pada sistem digunakan untuk melihat hubungan antara parameter air yang didahului praproses dengan mengubah data numerik ke data kategorikal berdasarkan standar STOrage and RETrievalData Warehouse (STORET).Selanjutnya model prediksi parameter air yang dihasilkan dari data belajar akan diserderhanakan terlebih dahulu sebelum validasi model dengan data uji. Pengujian model menggunakan data belajar menunjukkan rata-rata akurasi 70% dengan minimal support-confidence 30% data. Hasil model hubungan parameter air menggunakan rekam data PDAM dapat menjadi pendukung kebijakan di daerah tersebut dalam penyediaan dan pengolahan air bersih sebelum dilakukan uji kualitas laboratorium. Tanpa ada uji laboratorium beberapa nilai parameter faktor kimia tidak dapat diketahui. Meskipun demikian aturan yang dihasilkan sistem usulan tanpa uji laboratorium dapat memberikan akurasi 80%-95% dengan asumsi missing valuesnilai faktor kimiasetelah dicek manual dari narasumber pemilik data. Data uji coba menggunakan dataset kecil untuk mempermudah cek manual.
Kata Kunci” prediksi kualitas air, aturan asosiasi, storet
Abstrak”Raw Water (Air Baku) laboratory analysis is testing physical, chemical and bacteriological characteristicsof water to ensure that water supply is clean, safe and ready for drinking water quality. Analyzing raw water quality in laboratorium needs more time. The proposed system could shorten the laboratory processing time by analyzing daily water production log. Association ruleinthe proposed system was used to generate relation model of water characteristicsfrom the data log provided by local government owned water utilities (PDAM, Perusahaan Daerah Air Minum). The data was transformed first from numerical data into categorical data using STOrage and RETrieval Data Warehouse (STORET)standard.Generated model needs to be simplified because some prediction rules could have the same interpretation. The generated parameter prediction modelwas sufficient to be used as the supporting data for any local policy made related to water supply and sanitationwithout additional costs from standard lab testing of water quality. Some water quality values of chemical characteristics need lab testing. Given the missing values of several chemical characteristics, the generated parameter prediction model still could give better accuracy of 80%-95%. Since PDAM staffmanually validated the generated model, the experiments used small data set.
Keywords” water quality prediction, association rule, storet
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