Meningkatkan Kemampuan Menulis Pantun Siswa Melalui Model Multiliterasi

This study aims to determine the improvement of students' ability in writing rhymes by applying the multiliterate learning model in Class V SDN 62 Bengkulu City. This research is a Classroom Action Research which is conducted in two cycles, each of which includes: planning, implementing, observing, and reflecting. The subjects in this study were students of SDN 62 Bengkulu City which consisted of 14 female students and 16 male students. The research instruments used were observation sheets and poetry writing test sheets. The data from this study were analyzed using the average value and the percentage of classical learning completeness with the standard conversion formula of 100. The results showed that the average value of the pantun writing test in cycle I was 68.33 with classical learning completeness of 66.66 % ; There was an increase in cycle II with the average score of the rhyme writing test result was 81.66 with classical learning completeness of 83.33 %. Thus, it can be concluded that the application of the multiliterate learning model can improve students' ability to write rhymes in grade V SDN 62 Bengkulu City. It is recommended that Indonesian teachers, especially the material about pantun, apply a multiliterate model in learning to write pantun by paying attention to student involvement in the learning process, and other researchers can also apply it to other subjects.

Establishment of glycated albumin unit conversion equation from the standardized value (mmol/mol) to the routinely used value (%)

Background To promote glycated albumin standardization, the Committee on Diabetes Mellitus Indices, Japan Society of Clinical Chemistry published the recommended reference method and is supplying the reference standard material (JCCRM 611). In this study, we evaluated the basic performance of ‘standardized enzymatic method’ that is traceable to JCCRM 611 and established a unit conversion formula from standardized glycated albumin value (mmol/mol) to the routinely used glycated albumin value (%). Methods To evaluate the accuracy and within-run reproducibility of the ‘standardized enzymatic method’, JCCRM 611 was measured 20 times. To establish the unit conversion formula, serum specimens with known HbA1c concentrations were collected, and their glycated albumin (%) and glycated albumin (mmol/mol) were measured. Results The accuracy of glycated albumin value of the ‘standardized enzymatic method’ was 100.8–103.0%. The within-run reproducibility CV (coefficient of variation, %) of glycated albumin value was 0.6–0.9%. In total, 240 serum specimens were collected, and the distribution of their HbA1c values was HbA1c ≤ 4.9% ( n = 23), 5.0–5.9% ( n = 50), 6.0–6.9%, ( n = 44), 7.0–7.9% ( n = 40), 8.0–8.9% ( n = 37) and ≥9.0% ( n = 46). The unit conversion equation was defined as: GA (%) = 0.05652 × GA (mmol/mol)–0.4217 ( r = 0.999). Glycated albumin (%) calculated by the equation was in close agreement (96.6–104.2%) with the actual measured glycated albumin (%). Conclusions The glycated albumin unit conversion formula was established from mmol/mol to %. This formula provides an easy method to convert the unit and is expected to be useful for the standardization of glycated albumin measurement.

Determination of vitamin A content from selected Nigerian fruits using spectrophotometric method

The vitamin A content of the fresh fruits was determined by the extraction and quantitative determination of the pro-vitamin A carotenoid-?-carotene. The Retinol Equivalent (RE) was then obtained using standard conversion formula. The result indicated that the fruit with the minimum vitamin A content and percentage among the six samples was found in mango 301.61 ± 1.03 (7%), which was followed closely by watermelon 350.12 ± 19.01 (8%), guava 504.1 ± 0.75 (11%), tomato 542.86 ± 20.20 (12%), pawpaw 683.93 ± 5.15 (16%) and the highest content was found in carrot 2054.10 ± 1.28 (46%) in (RE/100 g). Statistical calculations and analysis showed that there was significant difference in vitamin A content among the fruits (p<0.05). Thus, besides major nutrients fruits and vegetables contribute very good amount of micro nutrient-vitamin A from ?-carotene.Bangladesh J. Sci. Ind. Res. 52(2), 153-158, 2017