1,720,966 research outputs found

    CLUSTERING DISTRIBUSI SPASIAL DAN TEMPORAL KAPAL PERIKANAN BERDASARKAN DATA VESSEL MONITORING SYSTEM (VMS) DENGAN ALGORITMA K-MEANS (STUDI KASUS DI WPPNRI-711)

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    Manajemen pengelolaan sumber daya laut yang berkelanjutan merupakan permasalah nasional dan juga global, pengelolaan perikanan mempunyai masalah yang kompleks sehingga diperlukan lebih banyak penelitian dengan berbagai pendekatan yang lebih komprehensif. Pemerintah Indonesia melalui Kementerian Kelautan dan Perikanan membuat Sistem Pemantauan Kapal Perikanan (SPKP) /Vessel Monitoring System (VMS). Data VMS yang berisi tentang posisi, pergerakan dan aktivitas armada kapal penangkap ikan dimanfaatkan dalam penelitian menggunakan teknik data mining dengan metode unsupervised dari machine learning. Penelitian ini terdiri tiga langkah: i) mencari jumlah cluster uptimum dengan metode elbow, ii) melakukan clustering dengan alogaritma K-Means dengan nilai k optimum yang telah ditetapkan, iii) menganalisis distribusi sebaran data VMS secara spasial dan temporal. Secara umum diperoleh hasil jumlah cluster optimum adalah 7 dengan hasil kekompakan anggota cluster persentasenya 90,7%, dan validasi clustering dengan uji Silhoutte Coefficient diperoleh nilai 0.6677. Secara spasial distribusi sebaran data VMS di WPPNRI-711 tidak merata dan secara temporal sangat fluktuatif. Hasil dari penelitian ini dapat dipergunakan untuk mengevaluasi dan mengetahui intensitas serta lokasi penangkapan ikan guna mencegah terjadinya overfishing

    Market Structure and Competition of Islamic Banking in Indonesia

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    The aim of this study is to investigate the market structure and competition of Islamic Banking with H-statistics (Panzar and Roose) model using panel data over a period of July 2010 to September 2014. The result of H-statistics test for long-run equilibrium showed disequilibrium condition. It means that Islamic banking in developing stage. While the market structure and competition test confirmed that the value of the degree of H-statistics generally in monopolistic competition market with score 0.53 to 1.06

    The Role of Knowledge and Trust in Explaining Intention of Performing Waqf in Agricultural Sector

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    This research aimed to analyze the influence of trust and waqf knowledge (WK) on intention to make endowment for programs in agricultural sector using Partial Least Square-Structural Equation Modeling (PLS-SEM) with 4th edition of SmartPLS analytical tool. In addition, the questionnaire was adopted from previous analyses and filled in by 100 respondents familiar with waqf. The results showed that three variables, which were components of Theory of Planned Behavior (TPB), namely subjective norm (SN), attitude toward behavior (ATB), and perceived behavioral control (PBC) had a significant influence on intention to perform waqf in agricultural sector. Regarding the main result, ATB mediated the role of trust and waqf knowledge for waqf. The results had implications for the importance of increasing waqf literacy for all levels of society by presenting religious leaders and increasing nazhir's professionalism in managing funds

    The Role of Knowledge and Trust in Explaining Intention of Performing Waqf in Agricultural Sector

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    This research aimed to analyze the influence of trust and waqf knowledge (WK) on intention to make endowment for programs in agricultural sector using Partial Least Square-Structural Equation Modeling (PLS-SEM) with 4th edition of SmartPLS analytical tool. In addition, the questionnaire was adopted from previous analyses and filled in by 100 respondents familiar with waqf. The results showed that three variables, which were components of Theory of Planned Behavior (TPB), namely subjective norm (SN), attitude toward behavior (ATB), and perceived behavioral control (PBC) had a significant influence on intention to perform waqf in agricultural sector. Regarding the main result, ATB mediated the role of trust and waqf knowledge for waqf. The results had implications for the importance of increasing waqf literacy for all levels of society by presenting religious leaders and increasing nazhir's professionalism in managing funds

    Concentration and Competition in the Pharmaceutical Sector in an Era of Challenges

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    In 2018, the Central Bureau of Statistics noted that the pharmaceutical industry grew 7.36 percent and slowed by 5.59 percent during the Covid-19 pandemic in 2020. Fluctuations in the growth of the pharmaceutical sector before and during the Covid-19 pandemic encouraged increased competition and concentration. This study examines the concentration and competition of pharmaceutical businesses listed on the Indonesia Stock Exchange from the first quarter of 2018 to the third quarter of 2020. The method used in this study is a quantitative approach with a concentration ratio model (CR) and the Hirschman-Herfindahl index (HHI). The calculation results show that the Kalbe Farma company controls over 65 percent of the market share, while 9 pharmaceutical companies contest the other 35 percent. KLBF is a company with the most sustainable competitive advantage compared to others; this can be seen from product differentiation, use of technology, and a superior market share of 65.39%. In addition, from the aspect of market competition, it shows that the pharmaceutical industry before and during the Covid-19 pandemic was in a tight oligopoly market with scores of 99.20 and 99.22. The results show the implications that pharmaceutical sector actors can carry out our policies related to competitive price competition. Another procedure is that companies must constantly observe and analyze the actions of other pharmaceutical companies in making business decisions

    Usulan Strategi Pemasaran Universitas Al Azhar Indonesia Menggunakan Metode K-Means Clustering

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    In 2022, the University Al Azhar Indonesia (UAI) was in the second phase of expansion, focusing on increasing the influx of new students. Each year, UAI allocated funds to execute diverse promotional strategies. However, the effectiveness of the undertaken promotional measures is deemed suboptimal, as the student admissions continue to exhibit fluctuations. To address this issue, researchers have employed the data mining method utilizing the K-Means Clustering algorithm. This study adopts both qualitative and quantitative approaches. Following the data cleaning stage, the initial sample size of 4,342 students is reduced to 2,650. The K-Means Clustering analysis identifies three clusters: the main cluster, minimum cluster, and adaptive cluster. Based on the characteristic data within the first cluster, it is recommended that UAI prioritizes promotional efforts towards students from private high schools in the Jabodetabek area. Additionally, the marketing communication mix, including brochures, banners, printed media, television, and radio, needs to be reassessed. In executing promotional strategies, UAI is advised to carefully consider the unique characteristics of each cluster and to maximize the utilization of social media and websites by incorporating elements of the 7C Framework.Keywords - K-Means, Clustering, Promotion Strateg

    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
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