MENINGKATKAN KETERAMPILAN MENGOPERASIKAN PERALATAN EKSTRAKSI MELALUI MODEL PEMBELAJARAN POE (PREDICT, OBSERVE, EXPLAIN)

This study aims to enhance the skills of students to operate extraction equipment. This is a two-cycle Classroom Action Search. The focus of the research was students in class XI E, which consisted of 15 people. The data-gathering technique uses non-test instrument. The data analysis technique used qualitative analysis. The results showed an increase in the skills of the extraction equipment. Completeness of learning cycle I was 66.67% and increased to 93.33%. Meanwhile, the average score of students' skills increased from 74.63 in the first cycle to 80.39 in the second cycle, with value of Asymp.Sig.(2-tailed) 0.005 < 0.05, which means that there is a significant difference between the average class value in cycle I and the average class value in cycle II. Ignorance that the POE learning model can improve skills to operate extraction equipment. Penelitian ini bertujuan untuk meningkatkan keterampilan mengoperasikan peralatan ekstraksi. Penelitian ini merupakan Penelitian Tindakan Kelas dengan 2 siklus. Obyek penelitian adalah siswa kelas XI E yang berjumlah 15 orang. Teknik pengumpulan data berupa instrumen non tes. Teknik analisis data menggunakan analisis kualitatif. Hasil penelitian menunjukkan terjadi peningkatan keterampilan mengoperasikan peralatan ekstraksi. Ketuntasan belajar siklus I sebesar 66,67% meningkat menjadi 93,33%. Sedangkan rata-rata nilai keterampilan siswa meningkat dari 74,63 pada siklus I menjadi 80,39 pada siklus II, dengan nilai Asymp.Sig.(2-tailed) 0,005 < 0,05, berarti terdapat perbedaan yang signifikan antara rata-rata nilai siklus I dengan rata-rata nilai siklus II. Disimpulkan bahwa penerapan model pembelajaran POE dapat meningkatkan keterampilan mengoperasikan peralatan ekstraksi.

Development Of High-Efficiency Extraction Equipment And Prospects For Industrial Application Of Extractors With Pneumatic Fluid Mixing

The article provides a substantiation of the relevance of the development of highly efficient extraction equipment, shows the ways of intensification of liquid extraction processes, shows the device and principle of operation of the bubbling extractor developed by the authors, and the results of experimental studies of new designs of extractors at industrial enterprises.

Procurement and Operation Technical For Meniran (Phyllanthus Niruri) Extraction Equipment

At this time the government prohibits the use of antibiotics in animal feed as a growth promoter (AGP) or antibiotic, so an effective and safe immunomodulator and herbal growth stimulant product are needed through Meniran extract products (Phyllantus niruri) and chemicals in the market are not yet optimal as immunomodulators and growth stimulants. CV. Maxipro Agrosatwa which is engaged in veterinary medicine, wholesale trade of agricultural products, and other live animals will produce feed using Meniran extract products. Extraction equipment that is needed is a Rotary vacuum evaporator. This equipment is needed to separate the solvent from the solute without high heating which will damage the solute content. The vacuum condition in the flask is to make the separation more efficient as well as accelerate the separation of the solvent from a solution by reducing the boiling point. The rotation of the flask is to increase evaporation. The complexity of this equipment is what makes CV. Maxipro Agrosatwa cannot handle it alone and requires technical assistance from the Department of Mechanical Engineering (JTM) FT UNS. Technical assistance provided by JTM FT UNS is in the form of procurement, delivery, installation, operation, and maintenance of the rotary vacuum evaporator.

Methods for nematode extraction.

Nematodes can be present in different matrices. This chapter describes several methods to extract nematodes from soil and plant parts. It is crucial that an appropriate method is chosen for the purpose of the research as different types of nematodes, and even different nematode stages, are extracted depending on the method. Factors to consider for choosing the optimal extraction method are the extraction efficiency of the method, the maximum sample size that can be analysed and costs of the extraction equipment. In addition, water consumption, labour and the time needed before nematodes can be examined can be important factors.

Methods for nematode extraction.

Nematodes can be present in different matrices. This chapter describes several methods to extract nematodes from soil and plant parts. It is crucial that an appropriate method is chosen for the purpose of the research as different types of nematodes, and even different nematode stages, are extracted depending on the method. Factors to consider for choosing the optimal extraction method are the extraction efficiency of the method, the maximum sample size that can be analysed and costs of the extraction equipment. In addition, water consumption, labour and the time needed before nematodes can be examined can be important factors.

BACTERIAL DISCRIMINATION OF DRINKING WATER THROUGH OF AN ELECTRONIC NOSE AND A VOLATILES EXTRACTION EQUIPMENT

Este consiste de un sistema de extracción de volátiles y una nariz electrónica para detectar especies bacterianas emitidas en muestras de agua contaminada, este muestreador es acoplado a un sistema de percepción sensorial compuesto por una cámara de 16 sensores de óxidos metálicos usada como una alternativa de monitoreo continuo para la detección e identificación de las bacterias, con tiempos de respuesta rápido, bajo costo, en comparación con los métodos convencionales. Para probar el método se realizaron diferentes medidas de agua estéril y agua contaminada con Escherichia coli a temperaturas de 50, 70 y 90°C, con el fin de obtener un patrón característico de cada compuesto, adicionalmente se evaluó el potencial para la detección de diferentes especies bacterianas (Escherichia coli, Klebsiella oxytoca y Pseudomonas aeruginosa) y agua de grifo estéril. Los resultados demostraron que es posible discriminar muestras de agua contaminada de agua estéril. Para el procesamiento de los datos fueron usados diferentes técnicas de reconocimiento de patrones, tales como el PCA, DFA y la red neuronal PNN, donde un 95 % de discriminación fue obtenido usando PCA, 100% de éxito en la clasificación con el método de validación cruzada “leave one out” y 92 % con el clasificador DFA.