25 research outputs found

    Pelayanan Medis Pasien Rawat Inap Pada Rumah Sakit Umum Daerah Arifin Ahmad Pekanbaru

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    This study intends to find out how the medical services provided in the inpatient General Hospital Arifin Ahmad Pekanbaru. The research is motivated by the availability of human resources and medical facilities that have not been able to provide health services to the user with the maximum health of the public service and there are still complaints from the public. It can be see from some other indication of the presence unfair officers in providing services and still no service ethic is not polite and friendly .The method used in this research is descriptive qualitative . Researchers are trying to reveal the facts in accordance with the fact that there is no intervention for the condition occurs . The theory used in this study is that Supranto theory regarding the quality of service that is characteristic of Reliability ( reliability), responsiveness (responsiveness), Assurance (collateral), Empathy (attention), Tangibles (real evidence) .The conclusion of this study is good enough This suggests that the implementation of medical services in inpatient General Hospital Arifin Ahmad Pekanbaru has various drawbacks .Key Words : Inpatient Medical Services, General Hospital Arifin Ahmad,Pekanbar

    Analisis Algoritma Prediksi Untuk Menghasilkan Prediksi Beban Listrik Jangka Pendek

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    Electricity is the lifeblood for human life, both for household and industrial world. In the power supply industry, it is important to determine the power requirements for the future as soon as possible (at the earliest). Short-term electric load prediction is one way that can be used to generate and distribute electrical energy economically, so that the power provider can know the load and demand for power for the next month, previous short-term power prediction studies, generally using the Neural method Network. Neural Network is an information processing system that has characteristics similar to biological neural networks but, deficiencies in Neural Network often overfitting due to overtrained. In a short-term electrical load prediction study, using the Support Vector Machine (SVM) method, Support Vector Machines (SVM) is a technique for predicting both classification and regression. This research begins by processing daily load system load data with a time span of 30 minutes, with data input used is data in January 2017. The results show that the SVM method can be one of the reference methods for the prediction of short-term electrical load with RMSE 0.034

    Pengembangan Lembar Kerja Siswa Berstruktur Project Based Learning untuk Meningkatkan Kemampuan Komunikasi Matematis di Madrasah Aliyah Negeri

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    This research is aim to produce student worksheet structured Project Based Learning (PjBL) which are valid, practical, and effective to improve mathematical commounication skills of students in learning statistic. The method is that used in this research is a Research and Development (R & D) which adepted the development model Plomp (1997). The subject of this research is XI IPA 2 MAN Model Singkawang which amount about 27 students. The result of data analysis show that: (1) Based on validator appraisal is mathematic lecturer and two mathematic teacher. Student worksheet structured PjBL is categorized as valid. (2) Based on respond and the using od student worksheet structured PjBL is categorized as practical to use. (3) Based on the activity and student learning outcames the use of structured PjBL is categorized effective for students. (4) Mathematical communication skill written and oral each student is about 75% and 81% categorized good and excellent. So that it can be condude student worksheet structured PjBL is deserved to use in the process of learning mathematics

    Identifikasi Galur dan Gen-gen Terkait Toleran Kekeringan pada Padi Transgenik cv. T309 yang Mengandung Vektor Penanda Aktivasi

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    Activation tagging is an efficient tool forfunctional analysis of the rice genes. We have developed anumber of transgenic rice lines (Oryza sativa L. ssp.japonica cv. Taipei 309) containing activation tagging vector.However, the phenotypes and genotypes of these lines, inrelation to the drought stress, have not been analyzed. Theobjectives of this research were to identify transgenic ricelines that showed tolerance to the drought stress and toidentify the genes that may be associated with the droughtstress. The drought stress tolerance in transgenic rice lineswas identified by testing their tolerance to the drought stressand also by detecting the presence of bar and nptII genes.The result showed that 56 out of 59 rice lines were resistantto Basta herbicide and three of them showed tolerance todrought stress, namely PA.T-1.2, PA.T-4.1, and PA.T-5.1 lines.PCR analysis showed that PA.T-1.2 and PA.T-4.1 containedboth hptII and bar genes, while the PA.T-5.1 line containedbar gene only. Thermal Asymetric Interlaced-PCR (TAILPCR)analysis showed that two genes may be asssociatedwith the drought stress tolerance. Those genes areOSJNBa0004120.14 that produces uridylate putative kinaseand OsPPCK2L that produces phosphoenolpyruvatecarboxylase kinase

    Pengembangan Populasi Mutan Penanda Aktivasi: I. Transformasi Padi Japonica Tropis Lokal Sulawesi CV. Asemandi Dengan Bantuan Agrobacterium Tumefaciens

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    The rice transformation technologyis not only provides valuable methods for the introductionof useful genes into rice plant to improve importantagronomic traits, but also helps in studying gene functionand regulation based on rice genome sequence information.Knockout of genes by insertional mutagenesis is a straightforwardmethod to identify gene functions. One of themethods to develop rice mutants is through genetic transformationmediated by Agrobacterium using activationtagging by Ac-Ds system. A study was done with an objectiveto obtain mutant rice of local tropical japonica cv. Asemandithrough genetic trans-formation mediated by Agrobacteriumtumefaciens. The transformation was conducted usingAgrobacterium vector with the strain of Agl-1 containingactivation tag construct. The result of experiment showedthat it has been obtained 17 independent line (304 plants)transgenic Asemandi containing activation tag construct.These starter lines will be used as materials to developseveral generations of stabil rice mutant through selfing

    Respon Padi Transgenik CV. Nipponbare Generasi T1 Yang Mengandung Gen Oryza Sativa Dehydration-response Element Binding 1a (Osdreb1a) Terhadap Cekaman Salinitas [Response of T1 Generation Transgenic Rice CV. Nipponbare Containing an Oryza Sativa Dehydration-response Element Binding 1a (Osdreb1a) Gene to Salinity Stress]

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    Salinity is one of the abiotic constraints in the cultivation of rice crop. One of the reasons agricultural land becomes saline is due to the intrusion of seawater into the mainland as a result of global climate change. Dehydration-responsive element binding (DREB) gene is a plant -specific transcription factor gene that have important role in regulating plant responses to abiotic stresses, including high salinity. Transgenic rice plants cv. Nipponbare carrying OsDREB1A gene have been generated. However, study of the response of putative transgenic plants to salinity has not been done. The research objective is to study the response of T1 generation Nipponbare-OsDREB1A transgenic rice plants to salinity stress. The result showed that the response of putative transgenic rice Nipponbare-OsDREB1A to salinity stress 25 mM and 150 mM NaCl indicated a level of tolerance varies from highly sensitive to highly tolerance. These variations were possibly occurred because of the segregation state of the T1 generation transgenic rice. Based on damage symptom scoring and PCR analysis provided information that transgenic rice plant cv. Nipponbare-OsDREB1A which showed positive PCR had a very high tolerance to salinity stress 150 mM compared with non-transgenic rice cv. Nipponbare
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