Analisis Pengaruh Minat Mahasiswa Fmipa Usu Memilih Laptop dengan Metode Kendall's W dan Analisis Konjoin

Penelitian ini diarahkan untuk menganalisis atribut laptop yang pa-ling diminati dan mengetahui kombinasi atribut yang paling diminati di kampusFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sumatera Utara.Metode yang digunakan dalam penelitian ini adalah metode Kendall's W dan Ana-lisis Konjoin. Data yang digunakan dalam penelitian ini merupakan data primeryang diperoleh dengan cara menyebarkan kuesioner kepada mahasiswa aktif FMIPAUSU angkatan 2009 sampai 2012. Hasil penelitian menunjukkan bahwa pilihanatribut dari laptop yang paling mempengaruhi minat responden yang dalam peneli-tian ini adalah kecanggihan processornya. Konsep laptop yang ideal berdasarkanpilihan responden melalui proses evaluasi dari 27 profil/kombinasi/stimuli yangdisajikan dalam bentuk kuesioner dengan membuat rating adalah laptop denganmerek HP, dengan processor intel core i5, bobot berat (1,8 kg s.d 2,5 kg), seharga< Rp 3.000.000,00; dengan hard drive > 500GB, dengan webcam tersedia, beruku-ran layar < 10.1 inchi, ketahanan baterai > 5 jam, serta berwarana hitam

Penggunaan Media Monopoli Dalam Meningkatkan Hasil Belajar Akuntansi Siswa

This study aims to determine the accounting students improve learning outcomes through the use of media monopoly. The instruments used in data collection in this study is the tests and observation. The test used is a test form test description (essay test) with a few questions each cycle. Observations made in this study is intended to determine the ability of students are evident from the activity of students in the learning process by using media that has been applied during the learning process. Based on the research results, the obtained results show that during the pre-test, there were 15 people (42.85%) of students who pass the study, whereas in the first cycle there are 23 people (65.71%) were completed, and the second cycle the number of students were thoroughly studied to 31 students (88.57%). This shows that there is an increase in learning outcomes from pre-test to post-test cycle II. It can be concluded that the use of the media monopoly can improve student learning outcomes accounting

Correlation of Expression Transforming Growth Factor-β1, E-cadherin, and Ki-67 in Meningiomas

BACKGROUND: Meningioma is the most common primary intracranial tumors in adults, accounts for 36% of total intracranial tumors. Obtaining the clinicopathological characteristics of patients with meningioma and investigating, the association between signaling pathways with disease progression could provide a basis for therapeutic development.AIM: This study aims to investigate the expression of transforming growth factor-β1 (TGF-β1), E-cadherin, and Ki-67 in meningiomas.MATERIALS AND METHODS: This study examined the expression levels of E-cadherin, Ki-67, and TGF-β1 with respect to the WHO grade in patients with meningioma. A total of 62 meningioma samples were analyzed. By the WHO criteria, 54 specimens were diagnosed as the WHO Grade 1, 6 as Grade 2, and 2 as Grade 3. Grade 1 was classified as low-grade meningioma, while Grade 2 and Grade 3 were classified as high-grade meningioma (HGM).RESULTS: In this study, the mean age diagnosis was 41.97 ± 9.79 years old, with female: male ratio of 8:1. There was no association between age, sex, and tumor location with the progression of meningioma. Immune-characterization revealed that HGM was associated with the higher number of Ki-67+ cells (p < 0.0001) and lower expression of TGF-β1 and E-cadherin (p < 0.001). The number of Ki-67+ cells was inversely correlated with TGF-β1 and E-cadherin (p < 0.05). TGF-β1 expression was positively correlated with E-cadherin expression (p < 0.0001).CONCLUSION: This study concluded that HGM was highly proliferative (high Ki-67+) and invasive (low E-cadherin), with dysregulated TGF-β1 signaling. In addition, younger age at diagnosis and high female: male ratio in our series suggests that Indonesian females might possess specific risk factors for having meningioma

Perbandingan Kinerja Pilar Jembatan Menggunakan Metode Direct Displacement Based Design dan Capacity Spectrum Method

The structure usually design base on the elastic analysis that would be multiplied by load factor to simulate the ultimate condition. Actually the behavior of building subject to seismic load are in-elastic. Evaluation to assess inelastic condition of the building during the earthquake are required to obtain assurance that a satisfactory performance . Analysis and performance evaluation can be done with the concept of performance-based seismic design. In this study, there are two performance-based analytical methods used, the method of Direct Displacement-Based Design (DDBD) and Capacity Spectrum Method (CSM). Structures analyzed in this research are the bridge pier with seismic load plan by RSNI 2833:201X. Value of displacement, base shear force, effective time, and damping produced by the method DDBD will be compared with the CSM. Result of analysis by the method of DDBD is the greatest displacement target, that is 0.7304 m, while the displacement by the method of CSM is 0,027 m. Base shear forces (V), results of DDBD, have 265.98 kN smaller than the CSM. However, the effective damping (ξeff) and effective time (Teff), the results of the analysis DDBD, have greater value when compared with the results of the analysis of CSM. Performance evaluation pier structures with DDBD method shows the structures are at the level of that exceed the limit structure stability which indicate that the structure stability has huge risk to collapse in an earthquake. In CSM Method, pillar structure is in Operational category which indicates that there was no structural and non-structure damage on piers when earthquake happened

Sintesis Hidroksiapatit melalui Precipitated Calcium Carbonate (PCC) Cangkang Kerang Darah dengan Metode Hidrotermal pada Variasi PH dan Waktu Reaksi

Hydroxyapatite Ca10(PO4)6(OH)2 is a calcium phosphate compound which is a bioactive ceramic material with high bioafinitas, used as bone implants, adsorbents and catalysts. Synthesis of hydroxyapatite can be made by using material which is rich of CaCO3 like PCC blood calm shell with a composition of 95.5% CaCO3. In this research, PCC blood calm shell which has calcium source was synthesized to HAp by hydrothermal process. pH of the reaction (10, 11, 12) and time reaction (22,24,26 hours) was be varied. The outcome of synthesis was characterized by using FTIR, XRD, SEM. The results of FTIR analysis, synthesis of HAp with hydrothermal method showed the formation of hydroxyapatite in the presence of peaks PO43- dan OH-. The highest peak is obtained at pH 10,11,12 at time reaction of 26 hours. XRD diffraction results in hydroxyapatite get the highest crystallinity at pH 12 at time reaction 26 hours with a hexagonal crystal structure and produce a more pure hydroxyapatite. SEM results showed morphology with clots and irregular round shape

Correlation of Streamflow and Sediment Concentration at Upstream and Downstream Padang Watershed

Sediment concentration affected b streamflow at river body. This research was conducted to study correlation between streamflow and sediment concentration at upstream and downstream Padang watershed on July until December 2013. The research was conducted by using survey method at two outlet of Padang watershed were Padang sub watershed and Padang Hilir sub watershed. Sampling of water at two (2) outlets were conducted at stream surface by using depth intergrating suspended sediment sampler technique at three (3) points of river body. Sampling waters conducted at two times that were after rainand no rain. Sediment concentration (Cs) calculated by Cs = (G2 – G1) / V equation. Streamflow (Q) calculated by multiplying velocity and wide of river by Q = A x V equation. The results showed that no correlation between streamflow and sediment concentration at upstream when no rain (Cs = 0,0007 +0,0412 Q; R2 = 0,43) and at downstream when no rain (Cs = 0,0002 Q + 0,07157; R2 = 0,057). There were correlation between streamflow and sediment concentration at upstream after rain (Cs = 0,00041 Q +0,0611; R2 = 0,88) and at downstream after rain (Cs = 0,00015 Q + 0,03293; R2 = 0,9)