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Penentuan Kebutuhan Poli Aluminium Klorida pada Proses Penjernihan Air di Unit Water Treatment PT. XYZ Kuala Tanjung Nelza, Novia; Sebayang, Mariani; Yunianto; Simatupang, Dimas Frananta
INSOLOGI: Jurnal Sains dan Teknologi Vol. 2 No. 6 (2023): Desember 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v2i6.2783

Abstract

A Water Treatment Unit (WTU) is a station that works on the processing and conditioning of raw water to meet the desired water quality. Water purification at PT. XYZ Kuala Tanjung uses raw water sourced from surface water or rivers. The river water used still contains solid substances and organic matter that render the water unsuitable for industrial use. Both suspended and colloidal solid substances can cause turbidity. Turbidity caused by solid substances can be addressed using coagulation techniques. The purpose of this research is to determine the optimal concentration and dosage of coagulant to clarify water in the WTU. The coagulant used is polyaluminum chloride (PAC). The research method is based on experiments using jar tests and stoichiometric calculations. The determination of the optimal coagulant is measured based on turbidity parameters. Experiments are conducted with varying concentrations of PAC ranging from 25-65 ppm, and the smallest turbidity value obtained is 1.21 NTU at a PAC concentration of 65 ppm, with a PAC requirement of 202.6679 kg/day. The higher the PAC concentration, the clearer the resulting water, but the daily requirement for PAC also increases.
Comparison of Activation Functions on Convolutional Neural Networks (CNN) to Identify Mung Bean Quality Karo Karo, Ichwanul Muslim; Karo Karo, Justaman Arifin; Ginting, Manan; Yunianto, Yunianto; Hariyanto, Hariyanto; Nelza, Novia; Maulidna, Maulidna
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13107

Abstract

Mung bean production levels by farmers in Indonesia are not stable. When there is a surplus, the stock of mung beans in the warehouse will accumulate, the storage factor affects the quality of mung beans. Indicators of quality mung beans can be seen from the color and size through direct observation. However, the aspect of view and assessment and the level of health of each observer is a human error in the classification of mung bean quality so that the results are less than optimal. One alternative way to identify object quality is to use deep learning algorithms. One of the popular deep learning algorithms is convolution neural network (CNN). This study aims to build a model to classify the feasibility of mung beans. The process of building the model also goes through the image preprocessing stage. In the process of building the model, there are ten setup parameters and four setup data used to produce the best model. As a result, the best CNN algorithm model performance is obtained from data setup I, with accuracy, precision, recall and F1 score above 75%. In addition, this study also analyzes Rel U and Adam activation functions on CNN algorithm on model performance in identifying mung bean quality. CNN algorithm with Adam activation function has 92% accuracy, 92.53% precision, 91.9% recall, and 92.19% F1 score. In addition, the performance of CNN algorithm with Adam activation function is superior compared to CNN algorithm with Adam activation function and previous study
Pembuatan Balsem Aromaterapi dari Minyak Atsiri Sereh Wangi (Cymbopogonnardus L. Rendle) Sylvi, Sylvi; Nelza, Novia; Purba, Switamy Angnitha
NUCLEUS Vol 4 No 2 (2023): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v4i2.1368

Abstract

Essential oils are volatile oils or oil fly that is generally tangible fluid obtained from the plant roots, bark, stems, and leaves by steam distillation of water. Plants containing essential oils and has the potential to be developed is a plant citronella (Cymbopogon nardus L. Rendle). The purpose of this study to make products balm aromatherapy essential oils of citronella and test the quality of quality of the aromatherapy balm with water vapor distillation method. The collection of data obtained from the analysis is the analysis parameter identification of compounds, numbers ester, test Total Plate Count, testing Pb method of AAS, the, determination of the refractive index, the determination viksositas, determination of pH balm, and a test of endurance balm, saponification, test molds, metal test Cu and specific gramavity test, and analysis of quality parameters of essential oil (yield and organoleptic tests). Results of analysis of parameter numbers ester (17.6177; 17.7824; 18.5295), test Total Plate Count (0; 3 × 102 and 3 × 102), Pb metal test methods AAS (0.02895; 0.0145; 0.01445), the identification of compounds (+), 1.4675 refractive index, viksositas 439,89cp, 436,01cp, 419,57cp, pH 6 balm, balm endurance test, saponification 11:04; 16.66; 16.76, mold testing namely (-), Cu metal test 0.1743; 0.5242; 0.0222, testing the specific gramavity is 0898; 0.922; 0901. The result of the isolation of essential oils of citronella 27,000 gramam sample was obtained ± 62 mL with the results of citronella essential oil yield of 0.23% v / b; the identification of essential oils generally exhibit containing citronella essential oil.
Analisa Pengaruh Temperatur Terhadap Laju Pengeringan Crumb Rubber Pada Dryer Menggunakan Energi Panas Pembakaran Pada Burner Simanjuntak, Agus Wiranto; Darmadi, Herry; Rahmansyah, Abdul Azis; Nelza, Novia; Bukhari, Bukhari
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 9, No 1 (2023): April
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v9i1.7572

Abstract

Crumb rubber is a semi-finished natural rubber product that still contains moisture content. One of the most needed crumb rubber standards is SIR 20 (crumb rubber) with a maximum moisture content of 0.80% according to Indonesia National Standard. To remove the water content, it is necessary to carry out the drying process. Drying is a process to evaporate water in a material by using heat. The drying process is carried out in the dryer unit. Hot air is obtained from burning a burner with a temperature of 130°C. The burner will heat the air and then distribute the hot air to the dryer unit with a dryer temperature of 116°C. In the dryer unit, crumb rubber will be dried with a drying process time of 172.62 minutes. The total heat required to dry the crumb rubber with an incoming feed weight of 626.66 kg, and the moisture content of the crumb rubber after drying is an average of 0.53%, this result still meets the standards of crumb rubber. ) SIR 20 of a maximum of 0.80%.
BESARNYA PERTAMBAHAN PANJANG RANTAI BUCKET CONVEYOR TIPE IBS AKIBAT BEBAN ANGKAT 4 TON DAN BEBAN MAKSIMUM Darmadi, Herry; Jajuliansyah, Jajuliansyah; Nelza, Novia; Rachmiadji, Irwan; Karo Karo, Justaman Arifin
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 9, No 2 (2023): Oktober
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v9i2.8622

Abstract

Chain is a series of links or rings that are connected or attached to one another so that they form an elongated shape. Chains are used to move loads or continue rotation. One of the chains that is often used is steel. One of them is a roller chain installed in a bucket conveyor, where this conveyor functions to convey crumb rubber from one process to the next. In this research the author carried out two tests on the chain to obtain an increase in the length of the chain. In the first test the chain plate was carried out in a tensile test with a load of 4 tons and the second test was carried out with a maximum load until the chain broke. After the author carried out the first test, the amount of increase in chain length (ɛ) after being averaged was 0.54%. In the second test, the maximum load (Fmax) after being averaged was 7.298 tons, and the increase in chain length (ɛ) was 7.2%.