Peningkatan Keterampilan Menyimak Cerita Anak melalui Media Animasi Audio Visual Siswa Kelas VI SD

Tujuan penelitian ini adalah mendeskripsikan peningkatan keterampilan menyimak cerita anak melalui media animasi audio visual siswa kelas VI SD Negeri Oeba 3 Kupang, Penelitian ini menggunakan desain penelitian tindakan kelas yang terdiri atas dua siklus. Subjek penelitian adalah siswa kelas VI SD Negeri Oeba 3 Kupang. Variabel dalam penelitian ini yaitu keterampilan menyimak cerita anak dan penggunaan media animasi audio visual. Setiap siklus terdapat instrumen yang berwujud tes dan nontes. Analisis data dilakukan secara kuantitatif dan kualitatif. Berdasarkan analisis data penelitian keterampilan menyimak cerita anak pada pratindakan, siklus I, dan siklus II menunjukkan peningkatan nilai rata-rata kelas. Hal tersebut terlihat pada keaktifan siswa dan keantusiasan siswa dalam mengikuti pembelajaran menyimak cerita anak melalui media animasi audio visual

Statistical Process Control for Depropanizer Column at Petronas Gas Berhad, Kerteh

The final report is made in order to give all the details on the Final Year Project II which is "Statistical Process Control for Depropanizer Column at Petronas Gas Berhad (PGB), Kerteh ". This report is divided into five main chapters which are Introduction, Literature Review, Methodology, Results & Discussions and Conclusion. Statistical Process Control (SPC) has a very high demand in industry right now as it provides a way to monitor process behavior and able us to analyze the variations in the process that may affect the quality of the end product. In this project, the focus in on the depropanizer column at Petronas Gas Berhad (PGB), Kerteh. The short term targets are to apply Statistical Process Control on the column stated, to measure and analyze the variation in the processes, to monitor the consistency of processes used to manufacture the product as designed and finally to suggest the best way in controlling all the variables at the column. While for long term is to implement the results in our industry. Many variables have to be considered in order to complete the project, which are: (a) Calculated data surrounding the depropanizer column which include all the tag names, (b) Tag names and description, (c) Description of the depropanizer column and (d) Flow sheet for the column showing all the tag name surrounding the column. Mainly, two tools are required in executing this project which are (a) SSPS software and (b) LIMS - Laboratory Information Management System (in PGB, Kerteh). From here, an early analysis on all the variables obtained by using Microsoft Excel has been made. Mainly, the discussion is about the input variables that affecting the output variable, which in this case the output variable is the C3 composition. Some problems have been identified during the process of analyzing the data using Microsoft Excel. Simulation using SPSS software has been completed which includes: a) Descriptive Statistics a) Crosstabs b) Histograms b) One Way Anova c) Correlations c) Paired T -test d) Scatter Plots d) Linear Regressions Analysis has been completed for the results obtained from SPSS, focusing on the critical components inside the overhead product composition which is C3 and some input data that will most probably affect the overhead product composition: i) Reflux flow ( 4FC6203 .PV) ii) Energy input inside the column ( 4T1623l.PV) iii) Feed conditions (4FY62022.PV, 4TI6009.PV) It is proven that these four main input variables have a very strong relationship with C3 composition inside the overhead product and they all come from a general population mean. Increasing or decreasing their values will give a great impact to the C3 composition. As the samples proved to come from a general population mean, an optimum operating condition could be produced from the average data, in order to maintain C3 composition within the desired value (98.48 mole%): Input Description Optimum operating variables conditions suggested 4FC6203.PV Reflux flow 112.96 m,/hr 4TI623l.PV Energy input inside the column 116.03 oc I Reboiler temperature 4FY62022.PV Feed flowrate 143.36 m,/hr 4TI6009.PV Feed temperature 95.81 oc However, these optimum operating conditions suggested must be checked again so that it will not violate the design operating conditions. This project will not only improve the existing process control of the column but also improve the quality of end product and saving the cost to operate the column

Students' self-directed learning readiness towards using the “SolveMe” Web in Technical and Vocational Education

Self-directed Learning Readiness (SDLR) is an essential skill in continuous Tearning and Leaching (T&L) that needs to be applied to any student. The study aimed to look at the Self-directed Learning Readiness Level (SDLRL) among the final semester students. The total number of students involved was 136 students, covering seven areas namely Catering, Electrical and Electronics, Building Construction, Creative Multimedia, General Machining, Welding, and Air Conditioning. The questionnaire instrument used was adapted from Guglielmino(1997). The results of the study were analyzed using descriptive statistics involving average use, standard deviation, percentages, frequency and scores. Inference statistics involve t-tests. Studies showed that the students' Key Performance Indexes (KPIs) were at moderate levels for three aspects of self-management, learning to learn and self-control. The t = .119 test, p <.905 showed no significant difference in SDLRL based on gender (female, average = 3.4002, SP = .37393 and male, average = 3.3925, SP = .37146) which served as a reference that could benefit the academic institution for adapting the T&L technique involving SDLR

Kemandirian Peternak Sapi Perah Anggota Koperasi Susu Warga Mulya Sleman, Daerah Istimewa Yogyakarta

Kemandirian menjadi isu penting bagi komunitas peternak di Indonesia. Dalam hal ini akan dibahas dalam kasus proses peningkatan produksi susu berkualitas dan pengembangan peternakan sapi perah di Indonesia. Produksi susu dalam negeri di Indonesia masih belum memenuhi jumlah permintaan pasar hingga, hal ini mengakibatkan ketergantungan atas impor susu masih cukup tinggi. Oleh karena itu, tuntutan Industri Pengolahan Susu (IPS) mengharuskan peternak untuk meningkatkan produksi dan juga kualitas susu yang dihasilkan menjadi tema penting dalam pembahasan dan analisis penelitian ini. Fokus perhatian dalam penelitian menekankan pada isu kemandirian peternak. Penelitian ini akan menganalisis berdasarkan indikator pengambilan keputusan, kreativitas dan solusi pemecahan masalah. Secara khusus, penelitian ini menganalisis tingkat kemandirian peternak anggota koperasi dan mengetahui faktor-faktor yang kemandirian peternak. Penelitian menggunakan metode survey dengan jumlah sampel 52 peternak anggota Koperasi Susu Warga Mulya. Kemandirian peternak dianalisis dengan menggunakan skor, sementara untuk mengetahui pengaruh umur, pendidikan, kepemilikan betina produktif dan pengalaman beternak terhadap kemandirian peternak sapi perah dilakukan uji regresi. Studi ini menyimpulkan bahwa peternak yang tergabung dalam Koperasi Susu Warga Mulya mayoritas memiliki kemandirian dalam kategori sedang. Berdasarkan hasil tersebut, dapat dijelaskan bahwa peternak memiliki kemandirian yang cukup dalam menjalankan usahanya. Meskipun demikian, peternak masih memiliki kendala besar terkait pengambilan keputusan penetapan harga jual susu. Hal ini dikarenakan peternak tidak memiliki kemandirian untuk menentukan harga jual susu. 

Nanoemulsion as a topical delivery system of antipsoriatic drugs

Psoriasis is one of the most common skin diseases, affecting 2–5% of the world's population. It is a skin autoimmune disorder, resulting in an excessive growth and aberrant differentiation of keratinocytes. Psoriasis is an incurable lifetime disease which can only be controlled and relieved through medication. Various approaches have been explored to treat the disease. Treatment of psoriasis includes topical therapy, systemic therapy and phototherapy. Topical therapy is the first line treatment and it is the most practical medication method for psoriasis patients. However, the conventional topical treatments such as gel and cream have low efficiency, poor cosmetic and aesthetic appeal, leading to poor patient compliance or adherence, while systemic and photo therapy produce significant adverse side effects. Nanoemulsion is defined as an emulsion system consisting of oil, surfactant, and water with an isotropic, transparent (or translucent) appearance. The emulsion droplet size is defined to be less than 200 nm. Nonetheless, if the emulsion has low surfactant content and is kinetically stable, a size of less than 500 nm can be accepted as nanoemulsion. A small droplet size would enhance the delivery and penetration of a drug through the psoriasis skin layer. There has been a growing interest in using nanoemulsions in topical applications, due to their high stability and their optical transparency or translucency, which make them good and very dermatologically attractive. A good selection of oils and surfactants would enhance the transdermal treatment efficacy. This review highlights the potential of drug-loaded nanoemulsions for the treatment of psoriasis towards achieving better efficacy and eliminating side effects

A New Threshold Estimation Method of SEMG Wavelet De-noising for Prolonged Fatigue Identification

In sports training, fatigue management is very important to avoid muscle injury and chronic fatigue syndrome. It occurs due to untreated normal fatigue (NF) which leads to a higher level of fatigue. This paper refers to the higher level of fatigue condition as prolonged fatigue (PF). Fatigue can be identified based on musculoskeletal, physiological, psychological, immunological and endocrinal system condition. Presently, musculoskeletal or muscle condition can be accessed quantitatively based on an invasive technique known as biopsies. It is accurate to evaluate muscle condition, but not suitable for frequent measurements. The non-invasive method used through self-evaluation tools such as questionnaire is not a quantitative measurement and sometimes is difficult to quantify. There are other non-invasive methods to evaluate muscle condition known as surface electromyography (SEMG). Before this, SEMG were only widely used to classify between non-fatigue and NF conditions. However, NF prediction might not be accurate and suitable to be used on athletes since they are required to undergo high-intensive training every day and this involves PF condition. Recently, SEMG signals characteristics found out to be able to evaluate ionic concentration changes in the muscle due to intensive training. The signals characteristics are different compared to NF identification. Therefore, high quality SEMG plays an important role in PF detection to avoid misinterpretation. In this study, twenty healthy participants were recruited and performed five consecutive days of intensive training to induce PF symptoms. The training was based on Bruce Protocol treadmill test and SEMG data were collected from the participants’ rectus femoris muscle. This paper pre-processed SEMG signals using Stationary Wavelet Transform (SWT) ‘db’ 45 with different threshold estimation techniques of de-noising such as RigRSURE, HeurSURE, minimax, universal threshold and a new estimation of threshold method. The new method able to overcome the limitation of conventional methods which estimate threshold based on statistical principles. Most importantly, the new method can preserve significant SEMG information, remove corner frequency and mitigate baseline noises. The performance of conventional and propose methods can then be evaluated based on PF classification performance. The de-noised signals extracted based on time, frequency and time-frequency features. Naïve Bayes classification results using time and frequency features indicate that the new estimation of threshold method with time and frequency features have the highest accuracy (98%), compared to RigRSURE (85%), HuerSURE (68%), Universal Threshold (74%) and minimax (76%) in PF identification

Isolation and characterization of a molybdenum-reducing and glyphosate-degrading Klebsiella oxytoca strain Saw-5 in soils from Sarawak

Bioremediation of pollutants including heavy metals and xenobiotics is an economic and environmentally friendly process. A novel molybdenum-reducing bacterium with the ability to utilize the pesticide glyphosate as a carbon source is reported. The characterization works were carried out utilizing bacterial resting cells in a microplate format. The bacterium reduces molybdate to Mo-blue optimally between pH 6.3 and 6.8 and at 34oC. Glucose was the best electron donor for supporting molybdate reduction followed by lactose, maltose, melibiose, raffinose, d-mannitol, d-xylose, l-rhamnose, l-arabinose, dulcitol, myo-inositol and glycerol in descending order. Other requirements include a phosphate concentration at 5.0 mM and a molybdate concentration between 20 and 30 mM. The molybdenum blue exhibited an absorption spectrum resembling a reduced phospho-molybdate. Molybdenum reduction was inhibited by mercury, silver, cadmium and copper at 2 ppm by 45.5, 26.0, 18.5 and 16.3%, respectively. Biochemical analysis identified the bacterium as Klebsiella oxytoca strain Saw-5. To conclude, the capacity of this bacterium to reduce molybdenum into a less toxic form and to grow on glyphosate is novel and makes the bacterium an important instrument for bioremediation of these pollutants

Tunable spacing dual-wavelength Q-switched fiber laser based on tunable FBG device

A tunable spacing dual-wavelength Q-switched fiber laser is experimentally demonstrated based on a fiber Bragg grating tunable device incorporated in an erbium-doped fiber laser (EDFL). The system utilizes two identical fiber Bragg gratings (FBGs) at 1547.1 nm origin to enable two laser lines operation. The wavelength separations between two laser lines are controlled by fixing one of the FBGs while applying mechanical stretch and compression to the other one, using a fiber Bragg grating tunable device. The seven steps of wavelength spacing could be tuned from 0.3344 to 0.0469 nm spacing. Pulse characteristics for both close and wide spacing of dual-wavelength Q-switched fiber laser are successfully being recorded. The findings demonstrate the latest idea of dual-wavelength fiber laser based on FBG tunable device, which offers a wide range of future applications

Simultaneous microbeam IBA and beam-induced luminescence analysis of strained doped silica fibre radiation dosimeters

We demonstrate that the simultaneous combination of ion beam analysis (IBA) and ion beam induced luminescence (IL) can reveal valuable information concerning the performance of strained doped silica fibre thermoluminescence microdosimeters. The micron scale spatial resolution and low detection limits of IBA allow the lateral distribution of dopant elements to be mapped and then correlated with the distribution of prompt radioluminescence. Measurement of the decay of the IL signal with dose provide information concerning the saturation of the subsequent TL signal at high doses. MeV ion beams can deposit relatively high energy in localized, well-quantified small volumes and so this method is valuable for studying high dose effects in TL dosimeters. We describe a simple modification of the target chamber microscope which enables sensitive low background light detection in two wavelength bands and present preliminary results from three types of germanium doped silica fibre dosimeter