Evaluasi Desain Struktur Gedung Training Centre II Universitas Diponegoro

Desain struktur dari Gedung Training Centre II Universitas Diponegoro Semarang memiliki jarak antar kolom yang relatif dekat dan jumlah tingkat yang tidak terlalu tinggi, namun memiliki dimensi kolom dan balok yang besar. Dimensi tersebut merupakan hasil perencanaan Konsultan Perencana yang mengacu pada kriteria desain SNI 1726-2002 mengenai struktur gempa, SNI-1727-1989 mengenai pembebanan, dan SNI 2847-2002 mengenai struktur beton, dimana standar-standar tersebut bukan merupakan standar terbaru saat gedung tersebut dilaksanakan pada tahun 2015. Beberapa hal tersebut menjadi dasar dilakukannya evaluasi desain struktur ini. Evaluasi desain struktur gedung dilakukan dengan melakukan perhitungan ulang dengan mengacu pada kriteria-kriteria saat ini yaitu SNI 1726-2012, SNI 1727-2013, dan 2847-2013. Berdasarkan analisis gempa menunjukkan gedung tersebut termasuk dalam Struktur Rangka Pemikul Momen Khusus (SRPMK) dan harus menggunakan konsep kolom kuat - balok lemah. Hasil evaluasi menunjukan terjadinya overdesain pada desain eksisting yang direncanakan Konsultan Perencana, perbedaan paling signifikan terjadi pada struktur kolom dan fondasi. Pada beberapa elemen struktur seperti pada pelat untuk ruangan tertentu dan tulangan torsi balok desain eksisiting tidak memenuhi standar yang berlaku

Analisis Kemenangan H. Supriyadi,s.sos Terpilih Yang Kedua Kalinya Sebagai Calon Anggota Dprd Kota Semarang 2014 – 2019 Dilihat Dari Prespective Politik

H. Supriyadi S.Sos is a PDIP legislators elected a second time, he was also a member of the legislative background of Private and obtain a second vote. Obtaining statistical data acquisition H. Supriyadi S.Sos voice, demonstrated the superiority and the advantages and performed as well as the implementation of the other defeated candidates not elected in the legislative elections contestants Dapil II Semarang form political strategies chosen. Political strategies is an imaging strategy Parties conducted by H. Supriyadi S.Sos, in approaching the community to achieve the goal of winning the legislative elections to gain the sympathy of the public. Formulation of the problem Seen from the point of political strategy, why H. Supriyadi. S.Sos chosen a second time as a member of Parliament Semarang.Descriptive method is a kind of research relating to the collection of data to provide a snapshot of a social phenomenon or state of the subject or the object of the research is based on facts which appear as the descriptive is a type of research relating to the collection of data to provide a snapshot of a social phenomenon or state of the subject or the object of research.The encouraging results of research and background H. Supriyadi.S.Sos become Chairman of the regional council of Semarang that encourages and background became Chairman of the Parliament is that I started my political career in the Indonesian Democratic Party of Struggle (PDIP) as a grass-roots cadres. As a member, at the lowest levels. Being a member of the party, its existence is quite prominent that friends supported his fellow members to occupy the Chair of Children\u27s Village Branch VIII PDI Bulu Lor (1997-2000)

We need to talk about manels: the problem of implicit gender bias in sport and exercise medicine.

In 2015, a website (www.allmalepanels.tumblr. com/) began documenting instances of all-male panels (colloquially known as a ‘manel’). This, along with the Twitter hashtag #manel, has helped drive recognition of the persistent and pervasive gender bias in the composition of experts assembled to present at conferences and other events. Recent social media discussions have similarly highlighted the prevalence of all-male panels in Sport and Exercise Medicine (SEM). While, to our knowledge, all-male panel trends in SEM have not yet formally been documented or published, one need look no further than SEM conference committees, keynote speaker lists, panels and other events to see that it exists in practice. Why, in 2018, is SEM and its related disciplines still failing to identify and acknowledge the role that implicit bias plays in the very structure of our own research, practice and education? SEM is, after all, a profession that contains experts, and serves populations, of all genders. This editorial will introduce the definition, implications and manifestations of implicit gender bias and then explore how the SEM community can begin to address this issue, advance the discussion and develop a more equitable global community

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/]

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website (https://osf.io/mhg94/).</p&gt

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts