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All Journal Jurnal TEMAPELA Integrated Lab Journal
Titik Indrawati
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Perancangan ‘Mini Cooling Tower’ Sederhana Sebagaipendingin Air Kondensor Pada Proses Refluks Ujichemical Oxygen Demand (Cod) Titik Indrawati; Indrariningrum Indrariningrum; Rhevi Raditya Ginanjar
Jurnal Teknologi dan Manajemen Pengelolaan Laboratorium Vol 1 No 1 (2018)
Publisher : Labor Dasar dan Sentral Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.164 KB) | DOI: 10.25077/temapela.1.1.16-22.2018

Abstract

Mini Cooling Tower merupakan menara pendingin induced-draft aliran lawan arah yang berfungsi menurunkan suhu air. Proses rancang bangun Mini Cooling Tower bertujuan untuk mengetahui karakteristik Mini Cooling Tower sebagai fungsi perubahan suhu air melalui uji kelayakan Mini Cooling Tower yang telah dirancang pada aliran air kondensor dalam proses refluks penetapan kadar Chemical Oxygen Demand (COD) pada air limbah dan air sungai. Proses pembuatan Mini Cooling Tower dengan cara merakit komponen yang terdiri dari boks aluminium berukuran 40x30x85cm, bak penampung (akuarium) berukuran 40x28x30cm, kipas angin berdiameter 10 cm dan 8 cm masing-masing 2 buah, fill yang berupa kelereng, pompa dengan kapasitas flow maksimal 800 l/h, thermometer air raksa 2 buah. Hasil pengujian karakteristik Mini Cooling Tower menunjukan penurunan suhu (range) sebesar 8 o C, Approach sebesar 2 o C dan efektivitasnya 80%. Uji kelayakan Mini Cooling Tower melalui penetapan kadar COD pada air limbah menggunakan air kran 6400 mg/L, dengan Mini Cooling Tower rata-rata 6266,7 mg/L, dan bak penampung rata-rata 3466, mg/L. Sedangkan rata-rata hasil uji COD pada air sungai yaitu 37,3 mg/L, 37,3 mg/L dan 24 mg/L. Hasil perbandingan kadar COD menggunakan uji hipotesis (t-Test) menunjukan bahwa kadar COD menggunakan mini cooling tower tidak berbeda signifikan dengan kadar COD menggunakan air kran
PENERAPAN STATISTICS PROCESS CONTROL DALAM PENGAMATAN SIFAT FISIKA DAN KIMIA AIR BUANGAN DARI AIR CONDITIONING (AC) Titik Indrawati; Nunung Isnaini Dwi Ningsih
Integrated Lab Journal Vol. 6 No. 2 (2018)
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.681 KB) | DOI: 10.14421/ilj.2018.%x

Abstract

Statistics Process Control (SPC) is a tool used for on-line quality control in mass production. Control Charts or control charts are selected from statistical sampling theory that is effectively applied in SPC. This paper will explain the function and method of applying one of the tools in SPC to observe the physical and chemical properties of wastewater from air conditioner (AC). The physical and chemical properties observed were TDS, pH, DHL, temperature, and turbidity. The results of the application of SPC by using the control chart shows that the control chart makes it easy for the observer to do the analysis process of the observation data. The results obtained can be taken from SPC on the observation of the physical and chemical properties of AC waste water in the Environmental Laboratory of the Faculty of Biology, Jenderal Soedirman University, namely the average value of each parameter, namely TDS = (4.85 mg / L), pH = 6.53, DHL = 0.00117 (ms), temperature = 23.3C, Turbidity = 0.4265 (NTU). Referring to the requirements of distilled water, the AC waste water is still suitable for use as a substitute for distilled water. The ploting of data on the Xbar-chart TDS data, pH, and Turbidity is within the control limit with a confidence level of 99%, while the Temperature and DHL data are within the control limit with a 95% confidence level. While the results of plotting the data on the Rbar-chart of TDS, DHL, and Temperature data are within the control limits with a 99% confidence level, while the pH and Turbidity data are within the control limits with a 95% confidence level.
Co-Authors Indrariningrum Indrariningrum Nunung Isnaini Dwi Ningsih Rhevi Raditya Ginanjar