Intership management system

Manual process need to be done for this system, manual process means, the student or intern's candidate need to fill a paper form, and also need to submit it by hand to the office. During the training, candidates need to keep update in the logbook about their daily routine of the training by writing it and paste any attachment in the logbook. Finally, progress of the training in the logbook will be examined by supervisor in company every week, and by university supervisor at the end of the training by write it in the logbook. Internship Management System is a management system that handles the process of the industrial training by computerize and online. Process focus in the system is selection of company, updating their log, and registers the company supervisor in the system

Associations between bio‑motor ability, endocrine markers and hand‑specific anthropometrics in elite female futsal players: a pilot study

Background: The second-to-fourth digit ratio (2D:4D) has been calculated for individual athletes and sports, but it has not been investigated in futsal performance. Therefore, the aim of this study was to investigate any relationships between 2D:4D of the dominant and non-dominant hands and physical capacity performances, selected functional variables and hormone concentrations in elite female futsal players. Methods: Twenty-four elite female futsal players were measured for 2D:4D in the dominant (2D:4DD) and non-dominant (2D:4DND) hand. The futsal specific performance test (FSPT), hand-grip strength (HGS) and aerobic power were also assessed. In addition, selected circulatory hormones were measured (estradiol, cortisol, growth hormone and insulin like growth factor-1). Pearson’s correlation test was used to identify correlational relationships. Results: Total test-time and performance time (total time + penalty time) for the FSPT showed a significant correlation with 2D:4DD (r = 0.53, p = 0.005 and r = 0.55, p = 0.003, respectively). HGSND also displayed a significant correlation with the 2D:4DD (r = 0.59, p = 0.002). Aerobic power and time spent running on the treadmill also showed a significant relationship with 2D:4DND (both, r = 0.54, p = 0.006). Cortisol showed a significant correlation with 2D:4DD (− 0.58, p = 0.003) and 2D:4DND(− 0.52, p = 0.008). Conclusions: The measurement of 2D:4D ratio could be an important factor in determining potential performance attributes and talent identification of elite female futsal players. Further studies are needed in this area to further examine the results presented here

Non-Bessel-Gaussianity and Flow Harmonic Fine-Splitting

Both collision geometry and event-by-event fluctuations are encoded in the experimentally observed flow harmonic distribution $p(v_n)$ and $2k$-particle cumulants $c_n\{2k\}$. In the present study, we systematically connect these observables to each other by employing Gram-Charlier A series. We quantify the deviation of $p(v_n)$ from Bessel-Gaussianity in terms of flow harmonic fine-splitting. Subsequently, we show that the corrected Bessel-Gaussian distribution can fit the simulated data better than the Bessel-Gaussian distribution in the more peripheral collisions. Inspired by Gram-Charlier A series, we introduce a new set of cumulants $q_n\{2k\}$ that are more natural to study distributions near Bessel-Gaussian. These new cumulants are obtained from $c_n\{2k\}$ where the collision geometry effect is extracted from it. By exploiting $q_2\{2k\}$, we introduce a new set of estimators for averaged ellipticity $\bar{v}_2$ which are more accurate compared to $v_2\{2k\}$ for $k>1$. As another application of $q_2\{2k\}$, we show we are able to restrict the phase space of $v_2\{4\}$, $v_2\{6\}$ and $v_2\{8\}$ by demanding the consistency of $\bar{v}_2$ and $v_2\{2k\}$ with $q_2\{2k\}$ equation. The allowed phase space is a region such that $v_2\{4\}-v_2\{6\}\gtrsim 0$ and $12 v_2\{6\}-11v_2\{8\}-v_2\{4\}\gtrsim 0$, which is compatible with the experimental observations.Comment: 24 pages; 9 figures; v2: published version; minor revision of the tex

Measurement of Shear Strain in Map Liquefaction Area for Earthquake Mitigation in Bengkulu City

Bengkulu city is well-known as a high-risk area for an earthquake. One of the effects of the earthquake is liquefaction, the phenomenon in which the strength and stiffness of the soil are reduced by shock. The researchers measured the quantity of liquefaction by knowing the value of Vs30 values that can be obtained from the United States Geological Survey (USGS). In this study, however, we measured liquefaction based on the shear strain value (γ). Here, the shear strain values could be determined by measuring the seismic vulnerability index and the peak ground acceleration. The vulnerability index was obtained by measuring the resonance of the frequency and the amplification factor using a short period seismometer with 3 components (2 horizontal components and 1 vertical component), whereas the peak ground accelerationα was obtained from the earthquake data that happened in Bengkulu City in 2000. The result showed that Vs30 and shear strain negatively correlated

Analisis Tebal Perkerasan Lentur Dengan Tiga Metode Bina Marga (Studi Kasus: Ruas Jalan Ploso Dan Gedeg – Perbatasan Kab. Mojekerto Dan Kab. Jombang)

Jalan merupakan prasarana utama bagi pengguna transportasi darat. Hal ini akan menuntut adanya fasilitas transportasi yang memadai. Indonesia mempunyai peraturan dan pedoman dalam perencanaan struktur perkerasan jalan yang merupakan hasil modifikasi dan penyesuaian dari negara maju seperti Inggris, Amerika Serikat dan Australia yang dikeluarkan oleh Direktorat Jenderal Bina Marga. Dirjen Bina Marga mengeluarkan pembaruan standar peraturan desain perkerasan jalan untuk terus dikembangkan dan disempurnakan, sehingga terdapat perbedaan perencanaan perhitungan pada setiap metodenya. Tujuan penelitian ini untuk mengetahui tebal lapis perkerasan yang dibutuhkan berdasarkan Manual Desain Perkerasan 2017, Bina Marga 2002, dan Bina Marga 1987 dengan studi kasus ruas jalan Ploso dan Gedeg serta membandingkan pada ketiga metode tersebut. pengumpulan data berupa data primer ini yaitu dilakukan dengan survei 2 hari yaitu 2x17 jam dari hasil pengamatan 2 hari tersebut diambil data volume kendaraan yang terbanyak, dan data sekunder berupa data CBR, data geometrik jalan dan data curah hujan. Berdasarkan perbandingan hasil tebal perkerasan jalan untuk ruas jalan Ploso dan Gedeg pada Manual Desain Perkerasan 2017 dengan menggunakan CTB didapatkan dengan total tebal 107 cm, sedangkan menggunakan pondasi berbutir dengan total tebal 115 cm, Pada metode Bina Marga 2002 dengan total tebal 95 cm, sedangkan pada metode Bina Marga 1987 diperoleh total tebal 110 cm. Perbandingan dari tebal perkerasan lentur pada masing – masing metode, menghasilkan perbandingan perkerasan diantara 20 cm – 5 cm. Besarnya selisih tebal perkerasan tersebut dikarenakan perbedaan paramater desain dan pemilihan bahan perkerasan