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Pengaruh pelayanan prima terhadap kepuasan jemaah umrah tahun 2025: Penelitian di PT Akbar Ghani Wisata Kota Depok
Full text linkMemberikan pelayanan yang terbaik sudah seharusnya dilakukan oleh perusahaan, terutama perusahaan yang bergerak di bidang jasa guna untuk memenuhi kepuasan pelanggan. Kepuasan pelanggan terjadi ketika keadaan yang dicapai sesuai dengan harapan dan keinginan. Dengan menerapkan pelayanan prima perusahaan dapat menciptakan hubungan yang baik dengan pelanggan sehingga mencapai kepuasan di hati mereka.
Penelitian ini bertujuan untuk mengetahui pengaruh pelayanan prima terhadap kepuasan jemaah umrah di PT Akbar Ghani Wisata Kota Depok tahun 2025 dan untuk mengetahui bagaimana kepuasan jemaah umrah di PT Akbar Ghani Wisata Kota Depok tahun 2025. Pendekatan dalam penelitian ini menggunakan pendekatan kuantitatif dengan metode analisis regresi linear sederhana. Adapun paradigma dalam penelitian kuantitatif ini berlandaskan pada paradigma positivisme. Data dikumpulkan melalui kuesioner kepada 66 jemaah umrah tahun 2025 yang memenuhi kriteria sebagai sampel penelitian.
Hasil penelitian ini menunjukkan bahwa pengaruh pelayanan prima terhadap kepuasan jemaah sebesar 62,7% sedangkan sisanya 37,3% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini. Hasil analisis regresi linier sederhana menunjukkan bahwa setiap peningkatan 1% dalam pelayanan prima akan meningkatkan kepuasan jemaah sebesar 0,9. Dapat diartikan bahwa semakin baik pelayanan yang diberikan maka kepuasan jemaah umrah akan semakin meningkat dan begitu juga sebaliknya.
Indikator-indikator pelayanan prima menurut Zulkarnain dan Sumarsono (2018) yaitu sikap, perhatian dan tindakan, terbukti menjadi elemen penting dalam menciptakan layanan yang unggul. Selain itu, tingkat kepuasan jemaah terhadap layanan PT Akbar Ghani Wisata tergolong tinggi dengan rata-rata kepuasan mencapai 89,1%. Temuan ini sejalan dengan teori yang dikemukakan oleh Tjiptono (2019), yang menyatakan bahwa terdapat tiga indikator kepuasan pelanggan yaitu kesesuaian harapan, keinginan untuk melakukan pembelian ulang, dan kesediaan untuk merekomendasikan
Prediction of Solar PV power using Deep Learning with Correlation-based Signal Synthesis
Full text linkEnhancement of the dispatching capacity and grid management efficiency requires knowledge of photovoltaic power generation beforehand. Intrinsically, photovoltaic power generation is highly volatile and irregular, which impedes its prediction accuracy. This paper proposes deep learning-based approaches and a pre-processing algorithm to handle these constraints. The proposed scheme employs Pearson's Correlation Coefficient to find the similarity between atmospheric variables and PV power generation. Based on high PCC values, top atmospheric variables and PV power generated time series data are passed through the Empirical Mode Decomposition (EMD) to simplify the complex data streams into Intrinsic Mode Functions (IMFs). Further, to streamline the prediction process, the proposed correlation-based signal synthesis (CBSS) algorithm finds combinations of these IMFs, which have a high correlation value between atmospheric variables and PV power data. Deep learning models of algorithms Long Short Term Memory (LSTM) and Nonlinear Autoregressive Network with Exogenous Inputs (NARX) network with the configurations of three networks, a single network, and the direct approach employed for the prediction of IMFs combinations. The LSTM network was analyzed under the Adaptive moment estimation (ADAM), Stochastic Gradient Descent with Momentum (SGDM), and Root Mean Square Propagation (RMSP) optimization. Extensive experimentation was evaluated using atmospheric data from the Climate, Energy, and Water Research Institute (CEWRI), NARC, Islamabad, Pakistan. RMSE, MAE, MAPE, and R 2 performance measures show promising prediction results for the LSTM under the configuration of three networks and ADAM optimization
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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