1,720,958 research outputs found
Efektivitas Sistem QRIS dalam Meningkatkan Volume Transaksi UMKM Kota Surabaya
Full text linkThis study aims to analyze the effect of using the Quick Response Code Indonesian Standard (QRIS) on increasing the transaction volume of Micro, Small, and Medium Enterprises (MSMEs) in Surabaya City. The research is motivated by the growing need to accelerate the digitalization of payment systems in the MSME sector to improve efficiency, financial inclusion, and business competitiveness. A quantitative approach was employed using an associative research design. Primary data were collected from 120 MSME respondents who had adopted QRIS, using a structured Likert-scale questionnaire. Data were then analyzed using simple linear regression. The findings reveal that the use of QRIS has a positive and significant effect on MSME transaction volume, indicated by a regression coefficient of 0.683 and a coefficient of determination (R²) of 0.570. This implies that 57% of the variation in transaction volume can be explained by QRIS usage. The significance value of 0.000 from both the F-test and t-test confirms the statistical validity of the regression model. These results suggest that QRIS serves as an effective, secure, and inclusive digital payment solution for MSMEs. The study recommends increased education, training, and supporting infrastructure to ensure broader adoption and optimal utilization of QRIS. This research also opens opportunities for future studies with a more comprehensive approach and wider geographic scope
Algoritma Naive Bayes untuk Memprediksi Waktu Pengerjaan Uji Kompetesi Keahlian (UKK) Siswa Sekolah Menengah Kejuruan
Full text linkThis research is motivated by the need for a method or method that helps teachers and schools to predict the speed of time for students UKK work so that schools are more effective in preparing students to face UKK with faster processing time where the current problem is that schools are still using manual prediction methods . The hypothesis of the researchers is that by implementing the Naïve Bayes algorithms to predict the length of time the UKK Student can work, it can produce more perfect predictions so that school management is more efficient in providing solutions for students who are predicted to work slowly on SMK Bhakti Persada Bekasi . UKK is the final assessment in order to determine the achievement of competencies for vocational students. The use of Data Mining with artificial classification and intelligence models that will predict the length of time spent on UKK in terms of student completion time quickly, normally or slowly. The Algorithm method used is Naïve Bayes with the prediction accuracy of 99.11%
Sistem Informasi Penjualan Online Berbasis Web Pada Toko Citra Parfum
Full text linkThis research aims to develop an online sales system (e-commerce) for Citra Parfum store in Tambun Selatan, Bekasi Regency. The store faces challenges in achieving sales targets and low customer numbers due to limited promotion through conventional channels and its hidden location within a residential area. The research utilizes the method of information system development, utilizing Visual Studio Code as a medium for creating the e-commerce website. The developed system includes the display of perfume products along with relevant information, a shopping cart, the checkout process, and online payment. This study proposes the implementation of a web-based e-commerce for Citra Parfum store. With the online sales system, it is expected that the number of sales transactions will increase, the marketing reach will expand, and buyers will be able to transact more easily. The research results are also expected to provide practical benefits to the management of Citra Parfum in improving customer satisfaction through the implementation of the online sales system
Tinjauan Pusataka: Penerapan Teknologi Artifical Intelligence Pada Fitur “Made For You” Aplikasi Spotify
Full text linkPenelitian ini mengeksplorasi penerapan teknologi Artificial Intelligence (AI) dalam fitur "Made For You" di aplikasi Spotify. Dengan menggunakan metode studi literatur, dilakukan analisis terhadap berbagai publikasi ilmiah dan sumber informasi terpercaya untuk memahami secara mendalam tentang pendekatan AI yang digunakan dalam menyusun rekomendasi musik yang disesuaikan dengan preferensi pengguna di Spotify. Hasil analisis menunjukkan bahwa penggunaan AI dalam fitur "Made For You" memanfaatkan berbagai teknik machine learning, algoritma pengelompokan, dan personalisasi untuk meningkatkan pengalaman mendengarkan musik pengguna. Selain itu, dampak penerapan teknologi AI dalam konteks aplikasi musik secara lebih luas, termasuk implikasinya terhadap kepuasan pengguna dan dinamika industri musik digital. Studi ini memberikan wawasan yang mendalam tentang bagaimana teknologi AI telah mengubah cara dalam menikmati dan menemukan musik di era streaming digital, serta potensi perubahan masa depan dalam industri musik
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
- …
