Evaluation of parental sociocultural background and education level in response to pediatric testis torsion

2020 ◽  
Vol 16 (6) ◽  
pp. 820.e1-820.e6
Author(s):  
Yunus Emre Göger ◽  
Mehmet Serkan Özkent ◽  
Mahmud Zahid Ünlü ◽  
Canan Kocaoğlu ◽  
Hasan Madenci ◽  
...  
1972 ◽  
Author(s):  
William H. Melching ◽  
David Orme-Johnson ◽  
Paul G. Whitmore ◽  
William J. Given

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.


1970 ◽  
Vol 13 (3) ◽  
pp. 453-473
Author(s):  
Musnur Hery

Islamic higher college not only limited to higher education that famous at Islamic history like madrasah (e.g. Nizamiyah), and al-Jami’ah (e.g. al-Azhar). Yet, Islamic higher college is the implementation of learning process that can be categorized in higher education stage, that being practiced in Moslem society, even still in non-formal or informal form before madrasah existence. Several epistemologies branch indeed take place at formal institution, while some epistemologies branch theoretically applied at formal institution, but it’s practiced at non-formal institutions. These non-formal institutions were still reflecting Islamic higher education level. 


2015 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Astri Furqani ◽  
Titimmah ,

Penelitian ini bertujuan untuk mengetahui Pengaruh Pertumbuhan Ekonomi dan Pendapatan Asli Daerah terhadap Pengalokasian Anggaran Belanja Modal pada Pemkab Sumenep. Sampel dalam penelitian ini menggunakan laporan Realisasi APBD dan  data pertumbuhan ekonomi (PDRB) Sumenep dari tahun 2009-2013. Sedangkan metode yang digunakan dalam penelitian ini adalah metode kuantitaif deskriptif dan model análisis yang digunakan untuk menguji hipótesis adalah regresi linear berganda.Hasil penelitian ini menunjukkan bahwa: (1) pada analisa secara simultan hasilnya variabel independen (pertumbuhan ekonomi dan pendapatan asli daerah) berpengaruh signifikan terhadap variabel dependen (Belanja Modal). (2) analisa secara parsial pertumbuhan ekonomi tidak berpengaruh signifikan terhadap belanja modal, sedangkan Pendapatan Asli Daerah berpengaruh signifikan terhadap belanja modal. Keywords: tax compliance, education level, income levelPenelitian ini bertujuan untuk mengetahui Pengaruh Pertumbuhan Ekonomi dan Pendapatan Asli Daerah terhadap Pengalokasian Anggaran Belanja Modal pada Pemkab Sumenep. Sampel dalam penelitian ini menggunakan laporan Realisasi APBD dan  data pertumbuhan ekonomi (PDRB) Sumenep dari tahun 2009-2013. Sedangkan metode yang digunakan dalam penelitian ini adalah metode kuantitaif deskriptif dan model análisis yang digunakan untuk menguji hipótesis adalah regresi linear berganda.Hasil penelitian ini menunjukkan bahwa: (1) pada analisa secara simultan hasilnya variabel independen (pertumbuhan ekonomi dan pendapatan asli daerah) berpengaruh signifikan terhadap variabel dependen (Belanja Modal). (2) analisa secara parsial pertumbuhan ekonomi tidak berpengaruh signifikan terhadap belanja modal, sedangkan Pendapatan Asli Daerah berpengaruh signifikan terhadap belanja modal. Keywords: tax compliance, education level, income level


2017 ◽  
Vol 2 (1) ◽  
pp. 46-63
Author(s):  
Raditee Sanusi Husin

Achievement of company goals, PT. Traktor Nusantara often faces problems, where from within and from outside the company. One of the problems that comes from within the company in relation to human resources is the level of work productivity of employees who are still far from expectation. This is allegedly caused by the level of employee education that has not been in accordance with the function of office, in addition to the competence of employees who have not been in accordance with the field of work. This study aims to determine the influence of education level and competence on employee productivity. The sample used is 22 employees. Data collection techniques with questionnaires, documentation and observation. Data analysis with qualitative and quantitative analysis methods with the help of statistical tools SPSS application for linear regression model calculation. The results showed that the level of education has a positive influence on the productivity of employees of PT. Traktor Nusantara. The amount of influence of education level variable to productivity based on test of determination is equal to 38,1%. Competence influence on work productivity of employees of PT. Traktor Nusantara with contribution of 19.1%. The level of education and competence together have a positive influence and able to explain 38.2% of the changes in work productivity, while the remaining 4.7% sebesat is another variable outside the study.


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