Pengaruh Penanganan Keluhan (Complaint Handling) Terhadap Kepercayaan Dan Komitmen Mahasiswa Pada Perguruan Tinggi Swasta Di Bandar Lampung

The complaint provided by the customer in the use of the product or service is a feedback on the quality of products or services used by customers. The more complaints provided by the customer requires extra attention for any company that received complaints for repair in the manufacture of products or services. Student complaints with the service provided is important because increased revenues resulted in the displacement of students getting higher. Fakor physical evidence (X1), reliability (X2), responsiveness (X3), assurance (X4) and empathy (X5) in the handling of complaints is important that students feel the complaint was well received. Trust and commitment to student education service users to be very important to maintain the image of universities in society.Services in education is an essential element for the creation of a conducive academic atmosphere for the implementation of a successful learning process. In educational institutions excellent service to students is one of the factors that need to be considered well to maintain smooth student study. The purpose of this study to find out how how empathy psychological influence on the trust and commitment of students with explanatory research method by conducting a survey to students in private universities in Bandar Lampung.Results from this study is the physical evidence (X1), reliability (X2), responsiveness (X3), assurance (X4) and empathy (X5) have positive influence and significant impact on the trust and commitment of students, which is given by the supervisor of academic, education personnel, as well as other lecturers provide confidence and commitment to the students that the complaint was handled well and menndapatkan appropriate solutions. The most dominant variable is a variable that affects empathy

Certified Computation from Unreliable Datasets

A wide range of learning tasks require human input in labeling massive data. The collected data though are usually low quality and contain inaccuracies and errors. As a result, modern science and business face the problem of learning from unreliable data sets. In this work, we provide a generic approach that is based on \textit{verification} of only few records of the data set to guarantee high quality learning outcomes for various optimization objectives. Our method, identifies small sets of critical records and verifies their validity. We show that many problems only need $\text{poly}(1/\varepsilon)$ verifications, to ensure that the output of the computation is at most a factor of $(1 \pm \varepsilon)$ away from the truth. For any given instance, we provide an \textit{instance optimal} solution that verifies the minimum possible number of records to approximately certify correctness. Then using this instance optimal formulation of the problem we prove our main result: "every function that satisfies some Lipschitz continuity condition can be certified with a small number of verifications". We show that the required Lipschitz continuity condition is satisfied even by some NP-complete problems, which illustrates the generality and importance of this theorem. In case this certification step fails, an invalid record will be identified. Removing these records and repeating until success, guarantees that the result will be accurate and will depend only on the verified records. Surprisingly, as we show, for several computation tasks more efficient methods are possible. These methods always guarantee that the produced result is not affected by the invalid records, since any invalid record that affects the output will be detected and verified

Additional file 3: Table S6. of Descriptive analysis of cochrane child-relevant systematic reviews: an update and comparison between 2009 and 2013

Review Groups Identified as Applicable to the Top 25 Leading Causes of Mortality Globally in 2013 and the Proportion of Evidence in the CHFRR (DOCX 14 kb

Additional file 4: Table S7. of Descriptive analysis of cochrane child-relevant systematic reviews: an update and comparison between 2009 and 2013

Ranking of Top 25 Leading Causes of Death in 2013 Globally, in Developing Nations, and Developed Nations (DOCX 19 kb