1,720,956 research outputs found
Implementasi Supply Chain Management (SCM)Toko Alat dan Bahan Bangunan Berbasis Web (Studi Kasus: TB. Bojong Indah)
Get PDFBojong Indah merupakan Toko Bangunan yang menjual berbagai macam alat dan bahan untuk kebutuhan bangunan seperti semen, cat, pasir dan sebagainya. TB. Bojong Indah beralamat di Jl. Bojong Cilaja, Kramatmulya - Kuningan Jawa Barat. Tujuan penelitian ini yaitu untuk membangun Sistem Informasi pengelolaan barang dengan mengimplementasikan konsep Supply Chain Management (SCM) di TB. Bojong Indah untuk memaksimalkan pengelolaan barang dan mempermudah komunikasi antara TB. Bojong Indah dengan Supplier sehingga informasi mengenai kondisi barang dapat dengan cepat tersampaikan antara keduanya. Pengembangan sistem yang digunakan Waterfall. Waterfall sendiri memiliki 5 (lima) tahapan, yaitu Requirement Analysis and Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, dan Operation and Maintenance. Pengujian yang dilakukan pada penelitian ini menggunakan metode White Box dan Black Box Testing. Sistem yang dibuat berbasis Web, dengan pengolah data (database) MySQL dan bahasa pemrograman yang digunakan PHP. Sistem informasi ini menerapkan konsep Supply Chain Management (SCM) Upstream dalam pembuatannya. Sistem informasi ini dapat membantu TB. Bojong Indah untuk mengelola persediaan barang masuk dan keluar, melakukan pemesanan barang, retur barang, penawaran barang dari Supplier, proses validasi pembayaran dan mempermudah penyampaian informasi antara TB. Bojong Indah dengan Supplier maupun sebaliknya. Sistem informasi ini diharapkan dapat mempermudah aktivitas-aktivitas yang ada di TB. Bojong Indah
Penerapan Model UTAUT 2 Untuk Menganalisis Penerimaan Dan Penggunaan Aplikasi E-Wallet Di Kabupaten Kuningan
Get PDFThe rapid advancement of technology has significantly impacted various aspects of life, including payments and financial transactions using e-wallet applications. Kuningan Regency possesses a considerable economic potential and numerous opportunities to enhance the business and technology sectors through the use of e-wallet applications. In adopting e-wallet application technology, understanding the factors influencing its acceptance and usage is crucial. One model employed for comprehending these factors is the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2), which focuses on seven key elements influencing the acceptance and use of technology: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit. This research aims to identify the factors influencing the acceptance and use of e-wallet applications using the UTAUT 2 model, with the addition of the security factor in e-wallet applications. The study involves a quantitative method with 397 respondents, and data analysis using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) approach with the assistance of SmartPLS version 3.0. The results indicate that performance expectancy, facilitating conditions, hedonic motivation, and habit play crucial roles in shaping the intention to use e-wallet applications in Kuningan Regency. These factors are able to explain 68.5% of the research model, the remaining 31.5% is explained by other variables. Understanding these factors allows for efforts to enhance the acceptance and use of e-wallet applications in Kuningan Regency, so that it can help improve the economy.Kemajuan teknologi yang berkembang pesat telah memberikan pengaruh yang penting pada berbagai bidang kehidupan, termasuk dalam pembayaran dan transaksi keuangan menggunakan aplikasi e-wallet. Kabupaten Kuningan memiliki potensi ekonomi yang cukup besar dan banyak peluang untuk mengembangkan sektor bisnis dan teknologi dengan penggunaan aplikasi e-wallet. Dalam mengadopsi teknologi aplikasi e-wallet, diperlukan pemahaman mengenai faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi tersebut. Salah satu model yang digunakan untuk memahami faktor-faktor tersebut adalah model Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) yang menitikberatkan pada tujuh elemen utama yang mempengaruhi penerimaan dan penggunaan teknologi, yaitu ekspektasi kinerja (performance expectancy), ekspektasi usaha (effort expectancy), pengaruh sosial (social influence), kondisi yang memfasilitasi (facilitating condition), motivasi hedonis (hedonic motivation), nilai harga (price value), dan kebiasaan (habit). Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi e-wallet menggunakan model UTAUT 2 dengan menambahkan faktor keamanan (security) aplikasi e-wallet. Penelitian dilakukan dengan menggunakan metode kuantitatif kepada 397 responden dan analisis data menggunakan pendekatan SEM-PLS dengan dukungan aplikasi SmartPLS versi 3.0. Hasil penelitian menunjukkan bahwa faktor performance expectancy, facilitating condition, hedonic motivation, dan habit mempunyai peranan penting dalam membangun niat menggunakan aplikasi e-wallet di Kabupaten Kuningan. Faktor-faktor tersebut mampu menjelaskan sebesar 68,5% dari model penelitian, sisanya 31,5% dijelaskan oleh variabel lain. Dengan memahami faktor-faktor tersebut, dapat dilakukan upaya untuk meningkatkan penerimaan dan penggunaan aplikasi e-wallet di Kabupaten Kuningan sehingga dapat membantu meningkatkan perekonomian
Implementation of Naive Bayes Algorithm for Early Detection of Stunting Risk
Get PDFThis study aimed to develop an early detection model for stunting risk in children in Kuningan Regency using the Naïve Bayes algorithm. The model used 3,155 data with a division of 50% training data and 50% testing data, utilizing five predictor variables: gender, age, weight, height, and nutritional intake. The results demonstrated an accuracy of 66.8%, precision of 62.4%, and recall of 69.5%, indicating that the model performs adequately but requires further refinement to enhance predictive quality. Improvements can be achieved by incorporating additional variables, such as environmental factors, sanitation, and maternal nutritional status, as well as optimizing data preprocessing techniques. The findings provide a scientific basis for the Kuningan Regency Health Office to design targeted intervention strategies, including regular screening programs, specific nutritional interventions, and community health education. Effective implementation of these strategies requires collaborative efforts among local government, community health centers (puskesmas), integrated health posts (posyandu), and other stakeholders to ensure a holistic and sustainable approach to stunting prevention. This study highlights the potential of data-driven models in supporting evidence-based public health policies and interventions.This study aimed to develop an early detection model for stunting risk in children in Kuningan Regency using the Naïve Bayes algorithm. The model used 3,155 data with a division of 50% training data and 50% testing data, utilizing five predictor variables: gender, age, weight, height, and nutritional intake. The results demonstrated an accuracy of 66.8%, precision of 62.4%, and recall of 69.5%, indicating that the model performs adequately but requires further refinement to enhance predictive quality. Improvements can be achieved by incorporating additional variables, such as environmental factors, sanitation, and maternal nutritional status, as well as optimizing data preprocessing techniques. The findings provide a scientific basis for the Kuningan Regency Health Office to design targeted intervention strategies, including regular screening programs, specific nutritional interventions, and community health education. Effective implementation of these strategies requires collaborative efforts among local government, community health centers (puskesmas), integrated health posts (posyandu), and other stakeholders to ensure a holistic and sustainable approach to stunting prevention. This study highlights the potential of data-driven models in supporting evidence-based public health policies and interventions
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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