1,720,954 research outputs found

    Pengembangan Sistem Pendukung Keputusan Pemilihan Siswa Terbaik Di SMK Ti Global Singaraja Menggunakan Metode PIPRECIA-MARCOS

    No full text
    The selection process for outstanding students at SMK TI Bali Global Singaraja faces objectivity challenges, particularly when assessing candidates with seemingly equal qualifications. This study aims to mitigate subjectivity and enhance transparency by designing and implementing a web-based Decision Support System (DSS). The system was developed using the Software Development Life Cycle (SDLC) framework and integrates a hybrid Multi-Criteria Decision-Making (MCDM) model. The Pivot Pair-wise Relative Criteria Importance Assessment (PIPRECIA) method was applied to determine the weights of seven evaluation criteria, while the Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method was used to rank student candidates. The results show that the DSS was successfully implemented, as validated by black-box testing with a 100% success rate. Furthermore, a usability evaluation using the System Usability Scale (SUS) yielded an average score of 75, indicating good user acceptance. This research concludes that the integrated PIPRECIA-MARCOS model provides a structured and accountable framework for decision-making. The novelty of this study lies in the application of this specific hybrid method to the student selection process, offering a robust solution that minimizes bias and increases the integrity of the evaluationProses seleksi siswa berprestasi di SMK TI Bali Global Singaraja menghadapi tantangan terkait objektivitas, terutama ketika dihadapkan pada beberapa kandidat dengan kualifikasi yang tampak setara. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sebuah Sistem Pendukung Keputusan (SPK) berbasis web guna memitigasi subjektivitas dan meningkatkan transparansi dalam proses pengambilan keputusan. Pengembangan sistem mengadopsi kerangka kerja Software Development Life Cycle (SDLC) dan mengintegrasikan model hibrida Multi-Criteria Decision-Making (MCDM). Metode Pivot Pair-wise Relative Criteria Importance Assessment (PIPRECIA) diaplikasikan untuk menentukan bobot dari tujuh kriteria penilaian yang telah diidentifikasi, berdasarkan masukan dari lima orang pengambil keputusan. Selanjutnya, metode Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) digunakan untuk melakukan perangkingan terhadap 73 alternatif siswa. Hasil penelitian menunjukkan bahwa SPK yang dikembangkan berhasil diimplementasikan secara fungsional, yang divalidasi melalui pengujian black-box dengan tingkat keberhasilan 100%. Selain itu, evaluasi kebergunaan melalui kuesioner System Usability Scale (SUS) menghasilkan skor rata-rata 75, yang mengindikasikan sistem dapat diterima dengan baik oleh pengguna akhir. Kombinasi metode PIPRECIA-MARCOS terbukti efektif dalam memberikan rekomendasi peringkat yang terstruktur dan dapat dipertanggungjawabkan

    Rekomendasi Prioritas Pengembangan Desa Wisata Rintisan dengan Metode ORESTE dan WASPAS

    Full text link
    Pengembangan desa wisata merupakan strategi penting dalam diversifikasi destinasi wisata dan pemberdayaan ekonomi masyarakat pedesaan di Indonesia. Namun, keterbatasan anggaran dan sumber daya menuntut pemerintah daerah untuk menentukan prioritas pengembangan secara tepat. Penelitian ini bertujuan untuk membandingkan efektivitas metode ORESTE (Organization, Rangement Et Synthese De Donnes Relationnelles) dan WASPAS (Weighted Aggregated Sum Product Assessment) dalam menentukan rekomendasi prioritas pengembangan desa wisata rintisan di Kabupaten Buleleng, Bali. Menggunakan delapan kriteria penilaian dan sepuluh alternatif desa wisata, kedua metode diterapkan untuk menghasilkan peringkat rekomendasi. Hasil penelitian menunjukkan perbedaan signifikan dalam urutan prioritas yang dihasilkan kedua metode. Metode ORESTE merekomendasikan Desa Wisata Kaliasem Lovina sebagai prioritas utama, sementara metode WASPAS menempatkan Desa Wisata Silangjana di peringkat teratas. Perbedaan ini menunjukkan bahwa pemilihan metode dapat mempengaruhi hasil pengambilan keputusan dalam penentuan prioritas pengembangan desa wisata.Pengembangan desa wisata merupakan strategi penting dalam diversifikasi destinasi wisata dan pemberdayaan ekonomi masyarakat pedesaan di Indonesia. Namun, keterbatasan anggaran dan sumber daya menuntut pemerintah daerah untuk menentukan prioritas pengembangan secara tepat. Penelitian ini bertujuan untuk membandingkan efektivitas metode ORESTE (Organization, Rangement Et Synthese De Donnes Relationnelles) dan WASPAS (Weighted Aggregated Sum Product Assessment) dalam menentukan rekomendasi prioritas pengembangan desa wisata rintisan di Kabupaten Buleleng, Bali. Menggunakan delapan kriteria penilaian dan sepuluh alternatif desa wisata, kedua metode diterapkan untuk menghasilkan peringkat rekomendasi. Hasil penelitian menunjukkan perbedaan signifikan dalam urutan prioritas yang dihasilkan kedua metode. Metode ORESTE merekomendasikan Desa Wisata Kaliasem Lovina sebagai prioritas utama, sementara metode WASPAS menempatkan Desa Wisata Silangjana di peringkat teratas. Perbedaan ini menunjukkan bahwa pemilihan metode dapat mempengaruhi hasil pengambilan keputusan dalam penentuan prioritas pengembangan desa wisata.

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    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

    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 link
    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

    Full text link
    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

    No full text
    Nao informado

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

    No full text
    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
    corecore