1,720,954 research outputs found

    E-SKHBK untuk Optimalisasi Pemutusan Hubungan Kerja di PT Sumber Alfaria Trijaya Tbk: Optimizing Termination of Employment: Implementation of Personal Extreme Programming and Evaluation of EUCS PIECES

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    For 24 years of operation, Alfamart has always upheld the company’s values to provide customer satisfaction. However, efforts to manage human resources as the main asset are needed to support the company’s values in achieving its goals. One of the crucial aspects in this effort is the Personnel Division, which is responsible for employee administration. Unfortunately, the process of terminating employment is still done manually and conventionally. This research explores the development of the Employment Termination Letter (e-SKBHK) website as a solution to optimize the termination process by enhancing efficiency, minimizing paper usage, and ensuring letter security through QR codes. The website development is carried out using the Personal Extreme Programming method, adapted from Extreme Programming but tailored for a single developer. This website development uses PHP language with Laravel 10 framework that applies Model View Controller architecture pattern. The test results using the EUCS method show that users are satisfied with the website developed with an average score of 4.3. While testing with the PIECES method shows a significant increase from a score of 1.96 on the current mail management system to 4.07 on the developed website. This confirms the successful implementation of the website in the aspects of performance, information, economy, control, efficiency, and service in mail management.Selama 24 tahun beroperasi, PT Sumber Alfaria Trijaya Tbk selalu menjunjung tinggi nilai-nilai perusahaan untuk memberikan kepuasan pelanggan.Sehingga, upaya pengelolaan sumber daya manusia sebagai aset utama sangat diperlukan untuk mendukung nilai-nilai perusahaan dalam mencapai tujuan.Sayangnya, proses pemutusan hubungan kerja masih dilakukan secara manual dan konvensional. Penelitian ini membahas pengembangan website E-SuratKeterangan Berakhirnya Hubungan Kerja (e-SKBHK) sebagai solusi mengoptimalkan proses pemutusan hubungan kerja dengan meningkatkan efisiensi, men-gurangi penggunaan kertas dan memberikan keamanan surat dari kode QR. Pengembangan website ini menerapkan metode Personal Extreme Programming yang diadaptasi dari metode Extreme Programming namun diterapkan pada pengembang tunggal. Pengembangan website ini menggunakan bahasa PHP dengan framework Laravel 10 yang menerapkan pola arsitektur Model View Controller. Hasil pengujian menggunakan metode EUCS menunjukkan pengguna puas dengan website yang dikembangkan dengan skor rata-rata 4,3.Sedangkan pengujian dengan metode PIECES menunjukkan peningkatan yang signifikan dari skor 1,96 pada sistem pengelolaan surat saat ini menjadi 4,30 pada website dikembangkan. Hal ini menegaskan keberhasilan implementasi website dalam aspek kinerja, informasi, ekonomi, kontrol, efisiensi danpelayanan dalam pengelolaan surat

    Penerapan Algoritma K-Means Clustering Dalam Pengelompokkan Kepadatan Penduduk: Application of K-Means Clustering Algorithm in Population Density Grouping

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    Uneven population density will have a negative impact if not considered. One way to tackle this problem is with population equity management planning policies. This research focuses on clustering population density areas, which is the ratio between population and area in Central Sulawesi Province. This research clustering is applied with data mining techniques, namely K-Means Clustering. The research stages are data collection, data understanding, data processing, clustering, clustering review, dashboard analysis, and accuracy testing with the tableau application in providing visualization of population density in the region. Based on the results of the algorithm calculation, it produces three clusters, cluster 0 being low population density, cluster 1 being high population density, and cluster 2 being medium population density. Cluster formation is based on the visualization produced by the research dataset through Sum Of Square Error analysis, silhouette coefficient, and elbow method. Clustering is formed, followed by dashboard visualization with the tableau application. The clustering results, based on the SSE calculation, produce a value of 4324505738.747303, meaning the determination of the number of clusters with a significant difference with the calculation of the number of previous groupings. Then the results of the silhouette analysis provide the highest average silhouette value at the number of clusters, namely 3 with a value of 0.6144435666457168, and the elbow method gives the result that the elbow point is at point 3, meaning the optimum number of clusters with 3 clusters.Kepadatan penduduk yang tidak merata akan memberikan dampak buruk jika tidak diperhatikan. Salah satu cara untuk menanggulangi masalah ini dengan kebijakan perencanaan pengelolaan pemerataan kependudukan. Penelitian ini berfokus dalam mengelompokkan wilayah kepadatan penduduk yang merupakan rasio antara jumlah penduduk dan luas wilayah di Provinsi Sulawesi Tengah. Pengelompokkan penelitian ini diterapkan dengan teknik data mining, yakni K-Means Clustering. Tahapan penelitian yakni pengumpulan data, data understanding, data processing, clustering, cluster review, analisa dashboard dan uji akurasi dengan aplikasi tableau dalam memberikan visualisasi kepadatan penduduk di wilayah tersebut. Berdasarkan hasil perhitungan algoritma tersebut, menghasilkan tiga cluster dengan cluster 0 merupakan kepadatan penduduk rendah, cluster 1 merupakan kepadatan penduduk tinggi, dan cluster 2 merupakan kepadatan penduduk sedang. Pembentukan cluster berdasarkan visualisasi yang dihasilkan dataset penelitian melalui analisa Sum Of Square Error, silhouette coefficient, serta elbow method. Clustering yang dibentuk, dilanjutkan visualisasi dashboard dengan aplikasi tableau. Hasil clustering tersebut, berdasarkan perhitungan SSE menghasilkan nilai 4324505738.747303 berarti penetapan jumlah cluster dengan perbedaan signifikan dengan perhitungan jumlah pengelompokkan sebelumnya. Lalu hasil analisa silhouette memberikan nilai rata-rata silhouette paling tinggi pada jumlah cluster yakni 3 dengan nilai 0.6144435666457168, dan metode elbow memberikan hasil bahwa elbow point berada di titik 3, berarti jumlah cluster yang optimum dengan 3 cluster

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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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