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PENURUNAN KADAR BOD, COD DAN TURBIDITY LIMBAH CAIR INDUSTRI BATIK MELALUI METODE KOMBINASI PRETREATMENT FILTRASI ADSORPSI DAN ELEKTROKOAGULASI Febrianto, Muhammad Akbar; Sujiwa, Akbar; Shofwan, Moch; Majid, Dian
Jurnal Reka Lingkungan Vol 11, No 3 (2023)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekalingkungan.v11i3.258-269

Abstract

AbstrakLimbah cair industri batik pada Industri Batik X di Kampung Batik Jetis, Jln P. Diponegoro, Lemah Putro, Kec. Sidoarjo, Kabupaten Sidoarjo, mengandung zat pencemar seperti BOD dan COD. Sebagai solusi, metode kombinasi Pretreatment Adsorpsi dan Elektrokoagulasi diajukan sebagai alternatif. Penelitian ini bertujuan untuk mengevaluasi efektivitas metode kombinasi tersebut. Untuk proses Pretreatment Adsorpsi, digunakan reaktor model kontinu, sementara Elektrokoagulasi diterapkan dengan sistem batch. Penelitian dilakukan dengan variasi tegangan: 5; 7,5; 10; dan 12,5 V. Hasilnya, metode kombinasi ini berhasil menurunkan kadar BOD, COD, dan Turbiditas pada limbah cair industri batik. Efisiensi terbaik diperoleh pada tegangan 12,5 Volt untuk BOD dengan konsentrasi akhir mencapai 200,5 mg/L (efisiensi 85,19%) dan Turbiditas akhir mencapai 1,25 NTU (efisiensi 99,92%). Sedangkan untuk COD, penurunan optimal tercapai pada tegangan 10 V dengan COD akhir sebesar 445,5 mg/L (efisiensi 87,15%). Kata kunci: Limbah cair industri batik, Pretreatment Adsorpsi, Elektrokoagulasi.AbstractThe wastewater from the batik industry at Industri Batik X in Kampung Batik Jetis, Jln P. Diponegoro, Lemah Putro, Kec. Sidoarjo, Kabupaten Sidoarjo, contains pollutants such as BOD and COD. As a solution, a combination of Pretreatment Adsorption and Electrocoagulation methods is proposed as an alternative. This research aims to evaluate the effectiveness of this combined method. For the Pretreatment Adsorption process, a continuous model reactor was used, while Electrocoagulation was applied with a batch system. The study was conducted with variations in voltage: 5 Volts, 7.5 Volts, 10 Volts, and 12.5 Volts. The results show that this combined method successfully reduced the levels of BOD, COD, and Turbidity in the wastewater from the batik industry. The best efficiency was achieved at 12.5 Volts for BOD, with a final concentration of 200.5 mg/L (85.19% efficiency), and a Turbidity of 1.25 NTU (99.92% efficiency). Meanwhile, for COD, the optimal reduction was reached at 10 Volts, resulting in a final COD concentration of 445.5 mg/L (87.15% efficiency).Keywords: Batik industrial liquid waste, Adsorption Pretreatment, Electrocoagulation.
The Application of a Finite Impulse Response Low-Pass Filter for Noise Reduction in Voice Signals Wijaya, Fauziyah Vida Rahmah; Ramadhani, Prastika; Az Zahra, Ladya Cheryl; Sakinah; Sujiwa, Akbar
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 2 No. 1 (2026): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

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Abstract

This study investigates the effect of noise on human voice signals and noise reduction efforts using digital signal processing techniques. The objective of this research is to analyze and compare the frequency characteristics and clarity of the original voice signal with those of noise-contaminated signal after undergoing a filtering process in MATLAB. The research methodology includes voice recording, superposition of the voice signal with noise, and filtering using a 50th-order Finite Impulse Response (FIR) low-pass filter with a cutoff frequency of 500 Hz implemented in MATLAB. The analysis is conducted in the frequency domain using the Fast Fourier Transform (FFT) and in the time domain through waveform observation. The results indicate that noise introduces high-frequency components and irregular amplitude fluctuations. After filtering, the high-frequency components are effectively attenuated, resulting in a smoother and more stable signal while preserving the primary characteristics of the human voice. These findings demonstrate that the FIR low-pass filter is effective in improving the quality of human voice signals.