1,720,960 research outputs found
PERANCANGAN SISTEM INFORMASI INVENTORY OBAT BERBASIS VISUAL BASIC.NET DENGAN MICROSOFT ACCESS PADA KLINIK BAROKAH MEDIKA DI KARAWANG
Inventory obat harus dikelola dan dicatat dengan baik agar klinik dapat menjual obatnya serta memperoleh pendapatan sesuai tujuannya. Hal ini dapat dilakukan secara efektif apabila dapat menentukan berapa banyak suatu item barang yang akan di pesan pada suatu waktu dan kapan dilakukan pemesanan ulang terhadap item barang tersebut. Pengendalian inventory ini menjadi lebih rumit karena adanya ke tidak pastian akan permintaan suatu obat oleh konsumen. Dalam operasioal pengendalian inventory, mulai dari proses perencanaan inventory, petugas menentukan jumlah obat yang harus dipesan, dan kapan pemesanan dilakukan kepada pemasok agar tidak terjadi pembengkakan biaya dan pengelolaan inventory obat yang baik dapat mengurangi resiko berupa kelebihan, kekurangan, keterlambatan, atau tidak tepatnya pengalokasian biaya untuk obat sehingga tidak efisien. Metode pengembangan sistem yang digunakan adalah metode waterfall. Hasil dari penelitian ini adalah menghasilkan sebuah sistem informasi inventory obat berbasiskan Visual Basic .net, dan perancangan sistem menggunakan Unified Modeling Language (UML) digunakan untuk meningkatkan pelayanan kesehatan dalam memenuhi ketersediaan obat di Klinik Barokah Medika
Efektivitas Program Pelatihan Teller Perbankan Guna Meningkatkan Kinerja Karyawan
Teller pada bank diharapkan dapat memberikan pelayanan yang memuaskan kepada nasabah, karena teller adalah karyawan bank yang setiap harinya berhubungan langsung dengan para nasabah. Program pelatihan yang menunjang kinerja karyawan yaitu terkait dengan produk perbankan yang ada di Bank Mandiri seperti Produk tabungan, pendalaman skill untuk melayani nasabah, serta meningkatkan skill. Penelitian ini bertujuan untuk menguji Efektivitas Program Pelatihan Teller Perbankan Guna Meningkatkan Kinerja Karyawan di Bank Mandiri Bekasi Taman Galaxi.
Penelitian ini menggunakan model penelitian Kualitatif Deskriptif dengan teknik pengumpulan data yaitu wawancara, observasi, serta dokumentasi kepada responden . Metode analisis data dalam penelitian ini menggunakan metode triangulasi data. Dengan adanya pelatihan untuk karyawan diharapkan lebih produktif lagi dalam menjalankan pekerjaannya dan mempunyai kualitas yang lebih baik serta dibekali dengan keahlian yang lebih dan semakin inovatif dalam menjalankan pekerjaan.
Hasil penelitian menunjukkan bahwa pelatihan teller dilaksanakan di Bank Mandiri Bekasi Taman Galaxi berjalan dengan baik karena menghasilkan teller dengan kemampuan yang diharapkan oleh perusahaan. Metode yang digunakan dengan memberikan materi dan langsung mempraktikannya sambil bekerja sudah efektif dalam meningkatkan kinerja karyawan dan terbukti dengan kinerja teller yang meningkat dan mampu menerapkan materi yang sudah diajarkan serta dapat menawarkan produk perbankan kepada nasabah
Penggunakan Enterprise Architecture Planning Pada Perencanaan Arsitektur Sistem Informasi Sekolah Di Smk Muhammadiyah Haurgeulis
Enterprise Architecture Planning (EAP) as one method or terms of reference for building an information architecture that is oriented to the needs of the business which consist of data architecture, application and technology as well as the plan to the implementation of the architecture that was created to support business activities for the achievement of the organization's mission. In the process of defining the architecture of the information, referring to a process that is common in the business organization of the education system, especially at SMK Muhammadiyah Haurgeulis Indramayu district, while the scope of the discussion surrounding the field of academic, financial management, personnel management or human resources and infrastructure
Bank Customer Decision Prediction on Term Deposit Products Using Random Forest Algorithm on Bank Marketing Campaign Data
This study investigates the relationship between Variable A, Variable B, and Variable C through a series of statistical analyses, including descriptive statistics, ANOVA, correlation, and multiple regression. The background of this research stems from the growing interest in understanding how these variables interact, particularly in practical applications involving behavioral or performance outcomes. The main objective of this study is to identify whether Variable A and Variable B significantly predict Variable C and whether there are significant differences across groups. Data were collected from a sample of 100 participants and analyzed using standard statistical techniques. Descriptive analysis provided a summary of the key variables, while ANOVA showed a statistically significant difference between Group 1 and Group 2, indicating the relevance of group membership. Pearson correlation revealed a moderate positive relationship between Variable A and Variable B, suggesting a tendency for these variables to increase together. In the multiple regression analysis, Variable A emerged as a significant predictor of Variable C, whereas Variable B did not contribute significantly. These findings highlight the importance of Variable A in predictive modeling and provide valuable insights for future research and application. The results align with the research expectations, though further studies are encouraged to explore additional predictors and refine the models. This study contributes to a deeper understanding of the statistical and practical relationships among the investigated variables and offers a foundation for applied strategies in relevant fields
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
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