1,720,956 research outputs found

    Pemodelan Beban Puncak Konsumsi Listrik Di Wilayah Kupang Menggunakan Bayesian Mixture Normal Autoregressive

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    Di Indonesia, persentase pertumbuhan pemakaian listrik naik setiap tahun. Adanya peningkatan tersebut menyebabkan Perusahaan Listrik Negara (PLN) harus menyediakan daya yang cukup untuk memenuhi permintaan pelanggan. Ketidakcukupan daya berdampak pada berbagai sektor rumah tangga, industri dan komersial. Kupang adalah salah satu wilayah di Indonesia yang sering mengalami kekurangan daya sehingga perlu direncanakan persediaan listrik. Perencanaan persediaan listrik membutuhkan manajemen yang efisien terhadap sistem daya yang ada dan optimasi keputusan yang berkaitan dengan tambahan kapasitas berdasarkan tingginya beban puncak. Beban puncak pemakaian listrik memberikan efek drop tegangan yang bervariasi bagi pengguna listrik. Data beban puncak berindikasi memiliki bentuk mixture dan bersifat lepto-kurtik, uni-modal dan fat-tails sehingga cocok untuk dimodelkan menggunakan metode Mixture Normal Autoregressive (MNAR) dengan pendekatan Bayesian yang diimplementasikan dalam doodle WinBUGS. Untuk mendapatkan model terbaik dari 2 dan 3 komponen mixture dilihat dari nilai Deviance Information Criterion (DIC) terkecil. Hasil yang diperoleh yaitu model untuk 2 komponen mixture atau MNAR(2; [1,2,4,6],6]) memiliki nilai DIC yang minimum sebesar 16467,6 dibanding ketiga model MNAR lainnya sehingga model ini baik untuk dilakukan peramalan jangka pendek. ====================================================================================================== In Indonesia, the percentage of growth in electricity consumption rises every year. To fulfill the increment of consumptions in the State Electricity Company should provide enough power to satisfy customer demand. Insufficiency of power has an impact on various sectors of household, industrial, and commercial. Kupang is one of the areas in Indonesia, which is often lack the power that needs to be planned electricity supplies. Electric supply planning requires efficient management of the existing power systems and optimization decisions related to the additional capacity due to high peak loads. Electricity peak load effects varying voltage drop for power users. Data indicate as a mixture of leptokurtic, uni-modal, and fat-tails making it suitable to be modeled using Mixture Normal Autoregressive (MNAR) with a Bayesian approach implemented in WinBUGS. The best models of two and three component mixture can be seen from the smallest value of the Deviance Information Criterion (DIC). The results shows that the models with two component mixture or MNAR (2; [1,2,4,6], 6) has a minimum value of DIC (16467.6) compared to the three other models, so the best selected model is better to do short-term forecastin

    Efektivitas Gamifikasi Modul Interaktif terhadap Pemahaman dan Minat Belajar Statistika Mahasiswa Politeknik Pertanian Kupang

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    Statistika Terapan merupakan mata kuliah yang sangat menuntut kemampuan analitis tinggi, akan tetapi mata kuliah ini tetap sering menimbulkan kendala dalam hal pemahaman konsep serta motivasi belajar mahasiswa vokasi. Efektivitas dari modul interaktif berbasis gamifikasi dalam meningkatkan pemahaman konsep dan minat belajar mahasiswa pada mata kuliah tersebut menjadi tujuan kajian ini. Metode yang dipakai itu ialah kuasi-eksperimen dengan sebuah desain one-group pretest-posttest. Terdapat 136 mahasiswa dari Program Studi Penyuluh Pertanian Lahan Kering yang terlibat. Unsur gamifikasi seperti poin, lencana, serta papan peringkat disisipkan ke dalam modul. Juga ada tantangan yang bertingkat beserta umpan balik instan. Sesuai hasil analisis, skor pemahaman meningkat signifikan dari 68,0 menjadi 71,6 (t = 1,977; p < 0,05) serta minat belajar pun meningkat 42,31% (dari skor rata-rata 2,6 menjadi 3,7). Interaksi mahasiswa terhadap fitur gamifikasi menjelaskan sekitar 70% dari variasi skor pemahaman berdasarkan analisis regresi. Gamifikasi terbukti efektif dalam membangun baik keterlibatan kognitif maupun afektif di pembelajaran statistika pada pendidikan vokasi menurut hasil ini

    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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