Firdaus, Abiyyu Armijn Firman (2024) Optimasi Kinerja Membran Nanofiltrasi Dalam Mengolah Efluen Instalasi Pengolahan Air Limbah Kawasan PT. Jababeka Tbk. Menjadi Air Baku Air Minum. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Optimasi kinerja suatu instrumen diperlukan untuk mencapai produk dengan kualitas yang diharapkan, sehingga perlu adanya eksperimen dengan cara pengujian faktor tertentu dalam input untuk mengetahui dampak pada output dari suatu sistem. Response Surface Methodology (RSM) sebagai salah satu model, tidak hanya melihat pengaruh faktor eksperimen saja, namun juga dapat digunakan untuk menentukan titik optimum dari eksperimen multifaktor. Model RSM yang hanya dapat digunakan untuk menyelesaikan permasalahan respon tunggal perlu dikombinasikan dengan pendekatan Desirability Function (DF) untuk mengoptimalkan masalah multirespon berkriteria. Penelitian ini menganalisis faktor pengenceran dan product recovery air hasil olahan terhadap kualitas dan efisiensi penyisihan, interaksi, serta titik optimum dari keduanya dengan mempertimbangkan baku mutu air baku pada Peraturan Pemerintah No. 22 Tahun 2021.
Air yang diolah merupakan efluen IPAL Tahap II PT. Jababeka Infrastruktur. Faktor pengenceran yang digunakan menghasilkan konsentrasi COD dengan rentang nilai 25 mg/L, 30 mg/L, 35 mg/L, 40 mg/L, dan 45 mg/L. Product recovery air olahan yang digunakan yakni 40%, 60%, dan 80%. Air diolah menggunakan nanofiltrasi dua tahap dengan penambahan filter cartridge sebagai pengolahan pendahuluan Parameter utama meliputi COD, nitrit, nitrat, sulfat, total fosfat, dan besi terlarut. Parameter pendukung meliputi total zat padat terlarut (TDS), pH, dan warna. Analisis deskriptif kuantitatif disajikan dalam bentuk grafik dan diuji secara statistik menggunakan Analysis of Variance (ANOVA) One Way. Transformasi multirespon ke dalam satu respon dengan Desirability Function (DF) dilakukan sebagai bagian dari pemodelan RSM dalam penelitian ini.
Hasil diperoleh faktor pengenceran dan product recovery air olahan, serta interaksi keduanya memberikan pengaruh pada efisiensi penyisihan COD, nitrit, nitrat, sulfat, total fosfat, dan besi terlarut. Efisiensi penyisihan tertinggi pada masing-masing parameter secara berturut-turut mecapai 57.16%, 77.43%, 99.85%, 73.95%, 90.02%, dan 45.98%. Konsentrasi outlet pada seluruh perlakuan yang telah memenuhi baku mutu air baku hanya pada parameter TDS, pH, warna, nitrat, dan sulfat dengan nilai maksimum berturut-turut 481 mg/L, 7.80, 13 Pt-Co, 0.330 mg/L, dan 15.713 mg/L. Titik optimum diperoleh jika faktor pengenceran tertinggi bekerja secara simultan terhadap product recovery terkecil yakni pada rentang konsentrasi COD 25 mg/L. Hasil prediksi untuk mendapatkan konsentrasi yang memenuhi baku mutu terhadap seluruh parameter yakni pada rentang konsentrasi COD 10 mg/L.
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Optimizing the performance of an instrument is necessary to achieve a product with the expected quality, so experiments are needed by testing certain factors in the input to determine the impact on the output of a system. Response Surface Methodology (RSM) as one of the models, not only looks at the influence of experimental factors, but can also be used to determine the optimum point of a multifactor experiment. The RSM model which can only be used to solve single response problems needs to be combined with the Desirability Function (DF) approach to optimize multiresponse problems with the criteria. This study examines wastewater effluent dilution ratio and product recovery on the quality of processed water and the removal efficiency, interaction, and optimum point of both by considering the raw water quality standards in Government Regulation No. 22 of 2021.
The treated water is wastewater from WWTP II PT. Jababeka Infrastructure. The dilution factor used produces COD concentrations with a range of values 25 mg/L, 30 mg/L, 35 mg/L, 40 mg/L, and 45 mg/L. The processed water recovery products used are 40%, 60% and 80%. Water is treated using two-stage nanofiltration with the addition of a cartridge filter as preliminary treatment. The main parameters include COD, nitrite, nitrate, sulfate, total phosphate and dissolved iron. Supporting parameters include total dissolved solids (TDS), pH, and color. Quantitative descriptive analysis is presented in graphical form and tested statistically using One Way Analysis of Variance (ANOVA). Multiresponse transformation into a single response with Desirability Function (DF) was carried out as part of RSM modeling in this study.
The results obtained were the dilution factor and product recovery of processed water, as well as the interaction between the two which had an influence on the removal efficiency of COD, nitrite, nitrate, sulfate, total phosphate, and dissolved iron. The highest removal efficiency for each parameter respectively reached 57.16%, 77.43%, 99.85%, 73.95%, 90.02%, and 45.98%. The outlet concentration in all treatments met the raw water quality standards only for the TDS, pH, color, nitrate, and sulfate parameters with maximum values of 481 mg/L, 7.80, 13 Pt-Co, 0.330 mg/L, and 15,713 mg/L, respectively. The optimum point is obtained if the highest dilution factor works simultaneously on the smallest product recovery in the COD concentration range of 25 mg/L. Prediction results to obtain concentrations that meet quality standards for all parameters in the COD concentration range of 10 mg/L.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Air baku air minum, Desirability Function (DF), Jababeka, Nanofiltrasi, Response Surface Methodology (RSM). Desirability Function (DF), Jababeka, Nanofiltration, Response Surface Methodology (RSM), Raw water for drinking water. |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering > TD259.2 Drinking water. Water quality |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Environmental Engineering > 25101-(S2) Master Thesis |
| Depositing User: | ABIYYU ARMIJN FIRMAN FIRDAUS |
| Date Deposited: | 29 Jul 2024 06:06 |
| Last Modified: | 29 Jul 2024 06:06 |
| URI: | http://repository.its.ac.id/id/eprint/109951 |
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