1,720,958 research outputs found

    Perancangan Aplikasi Pendaftaran Sekolah Menengah Atas Dengan Sistem Zonasi Menggunakan Algoritma Dijkstra

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    Hasil pengujian menunjukkan bahwa aplikasi pendaftaran sekolah menengah atas dengan sistem zonasi menggunakan algoritma Dijkstra berbasis web dapat membantu calon peserta didik dan orang tua dalam melakukan pendaftaran dengan lebih mudah dan efisien. Selain itu, sistem zonasi yang diimplementasikan mampu memberikan hasil yang akurat dalam menentukan sekolah yang sesuai dengan zona wilayah peserta didik. Dengan demikian, penelitian ini memberikan kontribusi dalam pengembangan aplikasi pendaftaran sekolah yang memanfaatkan sistem zonasi dan algoritma Dijkstra. Aplikasi ini memiliki potensi untuk meningkatkan efisiensi dan keadilan dalam proses pendaftaran sekolah menengah atas. Penelitian selanjutnya dapat mengembangkan fitur tambahan dan melakukan evaluasi lebih lanjut untuk meningkatkan kinerja aplikasi ini dan memenuhi kebutuhan pengguna dengan lebih baik

    Apakah Pengetahuan Investasi dan Pelatihan Pasar Modal dapat Meningkatkan Minat Investasi Mahasiswa

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    Penelitian ini bertujuan untuk mengungkap pengaruh Pengaruh Pengetahuan Investasi Dan Pelatihan Pasar Modal Terhadap Minat Investasi Mahasiswa Di Pasar Modal. Peneliti ingin melihat faktor–faktor yang mempengaruhi minat berinvestasi seorang mahasiswa yang notabene belum memiliki experience dalam berinvestais saham di pasar modal. Data penelitian diperoleh langsung oleh peneliti melalui pertanyaan  yang  diberikan kepada  20  orang  responden  melalui Google  Form. Subjek dalam penelitian ini adalah 20 orang responden yang berteman dengan peneliti melalui jejaring media sosial Whatsapp yang berstatus mahasiswa. Hasil pertanyaan tersebut dikumpulkan dan di gunakan sebagai bahan analisa. Berdasarkan hasil analisa yang dilakukan, pengetahuan investasi dan pelatihan pasar modal mempengaruhi minat investasi secara signifikan. Sangat berbeda dari penelitian–penelitian  sebelumnya,  persepsi  mahasiswa  terhadap  risiko  tidak mampu mempengaruhi minat mereka untuk berinvestasi saham di pasar modal. &nbsp

    ACADEMIC FRAUD AND ARTIFICIAL INTELLIGENCE : A FRAUD DIAMOND THEORY PERSPECTIVE WITH MACHIAVELLIANISM AS MODERATOR

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    This study aims to examine the influence of the Fraud Diamond dimensions—pressure, opportunity, rationalization, and capability—on academic fraud behavior, with the misuse of AI-generated content acting as a mediating variable. The research was conducted on students enrolled in the Corporate Financial Accounting study program at Politeknik Negeri Sambas. The sampling technique used was purposive sampling, targeting students who have taken or are currently taking the Professional and Business Ethics course. A total of 243 student responses were collected. This study employed a quantitative approach and utilized Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 as the analytical tool. The findings show that pressure, capability, and rationalization significantly influence the misuse of AI-generated content, whereas opportunity does not. Additionally, pressure, opportunity, and capability have a direct effect on academic fraud behavior, while rationalization does not show a significant impact. The study also reveals that the misuse of AI-generated content does not mediate the relationship between the Fraud Diamond dimensions and academic fraud behavior. These results suggest that despite the availability of AI as a tool for academic misconduct, internal psychological and individual factors are more decisive in driving such behavior.Penelitian ini bertujuan untuk mengkaji pengaruh dimensi Fraud Diamond—tekanan, peluang, rasionalisasi, dan kapabilitas—terhadap perilaku kecurangan akademik, dengan penyalahgunaan konten yang dihasilkan oleh AI sebagai variabel mediasi. Penelitian ini dilakukan pada mahasiswa Program Studi Akuntansi Keuangan Perusahaan di Politeknik Negeri Sambas. Teknik pengambilan sampel yang digunakan adalah purposive sampling, dengan target mahasiswa yang telah atau sedang menempuh mata kuliah Etika Profesi dan Bisnis. Sebanyak 243 respon mahasiswa berhasil dikumpulkan. Penelitian ini menggunakan pendekatan kuantitatif dan menganalisis data dengan metode Partial Least Squares Structural Equation Modeling (PLS-SEM) menggunakan alat bantu SmartPLS 4. Hasil penelitian menunjukkan bahwa tekanan, kapabilitas, dan rasionalisasi berpengaruh signifikan terhadap penyalahgunaan konten AI, sedangkan peluang tidak berpengaruh. Selain itu, tekanan, peluang, dan kapabilitas memiliki pengaruh langsung terhadap perilaku kecurangan akademik, sementara rasionalisasi tidak menunjukkan pengaruh yang signifikan. Penelitian ini juga mengungkapkan bahwa penyalahgunaan konten AI tidak memediasi hubungan antara dimensi Fraud Diamond dan perilaku kecurangan akademik. Temuan ini menunjukkan bahwa meskipun AI tersedia sebagai alat untuk melakukan pelanggaran akademik, faktor psikologis internal dan karakter individu lebih menentukan dalam mendorong terjadinya perilaku tersebut

    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

    Integrasi Nilai Religius dan Teori Agensi dalam Akuntabilitas Pengelolaan Dana Desa di Indonesia: Sebuah Kajian Sistematis (Systematic Literature Review 2015-2025)

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    The management of village funds in Indonesia continues to face significant challenges related to accountability and transparency, as highlighted by repeated findings from the Audit Board of Indonesia (BPK) and the Corruption Eradication Commission (KPK). This study aimed to explore how the integration of religious values within the agency theory framework can strengthen accountability mechanisms and mitigate agency conflicts in village fund management. The results of this systematic literature review (SLR) indicate that religious values such as honesty, trustworthiness (amanah), and spiritual responsibility play a critical role in reinforcing public trust in village governance. These values function as internalized moral standards that limit opportunistic behavior through self-regulation and reduce moral hazard. By embedding such values into the agency framework, village officials are not solely guided by formal control mechanisms, such as regulations, audits, and reporting systems, but also by moral accountability derived from religious and cultural norms. The proposed Moral Accountability Model conceptualizes this dual-control system, aligning formal institutional oversight with informal moral guidance. This model suggests that sustainable accountability is achieved not merely through external enforcement but also through internalized ethical awareness, which fosters holistic, ethical, and legitimate governance. The integration of religiosity into agency mechanisms provides a practical pathway to reduce agency costs and enhance governance quality, particularly in contexts where formal monitoring may be limited or ineffective. Furthermore, the evidence mapping across 22 national and international studies (2015–2025) demonstrates consistent support for the role of moral-religious values in improving transparency, trust, and responsible decision-making. These findings highlight the necessity of harmonizing formal regulatory frameworks with culturally embedded moral norms to achieve accountable and sustainable village fund management. The study contributes theoretically by extending agency theory into the moral-religious domain and practically by offering a model that can guide policymakers and local governments in enhancing governance outcomes

    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

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