The flexible pavement is burdened by a high volume of traffic vehicles leads to damage to the road. The innovation of the use of steel waste can also be one of the efforts to minimize the damage of the plight because steel waste is a good conductor and can help manage the surrounding waste to reduce the negative impact of waste on the community. Through this research, the mechanical characteristics of waste steel as added material will be tested for the type of asphalt concrete wearing course. Thus it will be known benefits of use of steel waste against asphalt mixture. . By using the waste of steel with the size of ±. 0,5 cm and with a variation of 0,25%, 0,5%, 0,75%, and 1% and the optimum asphalt rate obtained from previous research at 5,7%. Once obtained characteristic data Marshall mixture, the research continue to determine the optimum material level with a narrow range method and performed mechanistic analysis of empirical using KENPAVE. , Then the results of the test can be seen in the characteristic Marshall, which is where these values are based on the general specifications of the Directorate General of Bina Marga Edition 2018.ABSTRAKPerkerasan lentur yang terbebani oleh volume lalu lintas yang tinggi dan menyebabkan terjadinya kerusakan pada jalan. Salah satu inovasi yang dapat digunakan untuk meminimalisir kerusakan lapis perkerasan dengan menggunakan limbah bubutan baja sebagai bahan tambah. Limbah bubutan baja merupakan konduktor yang baik, penggunaan bubutan baja ini juga dapat menjadi salah satu upaya untuk mengelola limbah yang ada di sekitar agar mengurangi dampak negatif limbah terhadap masyarakat. Melalui penelitian ini, karakteristik mekanis limbah bubutan baja sebagai bahan tambah akan diuji untuk jenis campuran asphalt concrete wearing course (AC – WC). dengan demikian akan diketahui manfaat penggunaan limbah bubutan baja terhadap campuran aspal. Dengan menggunakan limbah bubutan baja yang sudah dipotong hingga ukuran ±.0,5 cm dan dengan kadar variasi sebesar 0,25%, 0,5%, 0,75%, dan 1% serta kadar aspal optimum yang didapat dari penelitian sebelumnya, yaitu sebesar 5,7%. Setelah didapatkan data karakteristik Marshall campuran, penelitian dilanjutkan untuk menentukan kadar bahan optimum dengan metode narrow range dan dilakukan analisis mekanistik empiris menggunakan KENPAVE. Kemudian hasil pengujian tersebut dapat dilihat pada karakteristik Marshall , yang dimana nilai-nilai tersebut berdasarkan Spesifikasi Umum Direktorat Jendral Bina Marga Edisi 2018.
<p><strong>Background:</strong> Obesity is a problem that is found all over the world. Individuals who has increased of waist circumference or body mass index will have reduced physical fitness. This condition can also be found in security personnel who need great physical fitness for their occupation. <strong>Objectives:</strong> To find the correlation between waist circumference as marker of central obesity and Cooper test result in security personnel. <strong>Methods:</strong> This cross-sectional study was done to security personnel at Faculty of Medicine University as Indonesia with measuring waist circumference and Cooper test or 12-minutes run test distance covered. <strong>Result:</strong> From 43 subjects, we found that central or abdominal obesity prevalence is 27.9% and the mean of distance covered on Cooper test is 1787.41 ± 271.71 m. Spearman correlation test from both variables give significant inversely proportional correlation. (p value = 0.02; r = −0.430; 95% CI = −0.672 − −0.150). <strong>Conclusion:</strong> Increasing waist circumference in a person has correlation with decreasing physical fitness especially cardiorespiratory fitness.</p>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.