1,720,962 research outputs found

    Pengembangan Sistem Informasi E-Rekrutmen dan Manajemen Karir Untuk Pemberdayaan Alumni pada Dunia Kerja dan Industri

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    Sistem informasi telah banyak digunakan oleh banyak organisasi dan institusi untuk beberapa tujuan. Salah satu tujuan utamanya adalah menyediakan sistem informasi penelusuran alumni dan manajemen karir. Ini penting karena sistem mengarah pada akreditasi yang lebih baik dan dokumentasi yang rapi. Selain itu, terdapat beberapa kemitraan antara jurusan informatika dengan perusahaan. Ini akan memberikan manfaat bagi mahasiswa dan alumni. Namun, belum ada cara konkrit untuk implementasi kerjasama tersebut. Apalagi jurusan informatika masih kekurangan data alumni dari awal jurusan berdiri sampai sekarang. Sehingga dengan merancang dan mengembangkan sistem e-recruitment dan career management, alumni dapat menemukan pekerjaan yang sesuai dengan keahliannya. Perusahaan juga bisa mendapatkan kandidat terbaik. Selain itu, diharapkan sistem ini juga dapat memberikan data lulusan yang lengkap dan dapat meningkatkan jumlah penyerapan alumni di dunia industri.

    SISTEM PAKAR PENDETEKSI PENYAKIT PADA BALITA MENGGUNAKAN METODE COSINE SIMILARITY DAN ALGORTIMA NAZIEF ADRIANI

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    Kesehatan merupakan prioritas utama bagi umat manusia. Sebagian dari para orang tua banyak yang salah dalam menyikapi gejala – gejala penyakit yang timbul pada balita dan sering melakukan pengobatan sendiri tanpa adanya bimbingan dari dokter atau pakar sehingga bisa berakibat fatal pada pertolongan pertama kepada balita. Penelitian ini bertujuan untuk memberikan petunjuk kepada orang tua dalam melakukan pertolongan pertama pada balita. Aplikasi di rancang dengan menggunakan metode Cosine Similarity dan Algoritma Nazief & Adriani untuk melakukan klasifikasi text sehingga didapatkan jenis penyakit dan cara pencegahannya berdasarkan gejala – gejala yang di masukkan oleh orang tua atau keluarga pasien dalam bentuk kalimat.Kata Kunci : Sistem Pakar, penyakit balita, Cosine Similarity, Nazief & Adrian

    PENGEMBANGAN SISTEM INFORMASI DATABASE PENELITIAN DAN PENGABDIAN MASYARAKAT TERINTEGRASI PADA UIN ALAUDDIN MAKASSAR

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    Pengelolaan data penelitian, pengabdian masyarakat, dan kekayaan intelektual di UIN Alauddin Makassar saat ini belum optimal, mengakibatkan pendokumentasian yang tidak komprehensif dan ketidakefisienan dalam akses data. Kondisi ini memaksa Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) bergantung pada proses manual seperti pencarian arsip fisik atau permintaan berulang ke unit kerja/peneliti, yang berisiko terhadap kehilangan data. Untuk mengatasi masalah ini, penelitian ini bertujuan mengembangkan sistem informasi terintegrasi berbasis web untuk pendataan dan pengelolaan kegiatan penelitian serta pengabdian masyarakat. Mengadopsi pendekatan Research and Development (R&D) dengan metode System Development Life Cycle (SDLC), pengembangan sistem melalui tahapan perencanaan, analisis kebutuhan, desain, implementasi, pengujian, dan pemeliharaan. Hasil penelitian berupa sistem bernama SITASYA yang berhasil diimplementasikan. Pengujian fungsional menunjukkan sistem beroperasi dengan baik, memfasilitasi pencarian dan pemantauan data penelitian berdasarkan fakultas atau program studi serta memungkinkan administrator melakukan input data secara mandiri

    An Automatic Environment Monitoring System Using a MobileNet Transfer Learning

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    The universities have an important role to encourage and support the Sustainable Development Goals (SDGs). UIN Alauddin Makassar as one of the universities in Indonesia establishes a green campus program to support it. An automatic environment system was built to ensure the cleanliness of the university environment. A comfortable and healthy work environment is expected can improve the productivity and motivation of the academic civities. The system was built using a MobileNet architecture that using a transfer learning approach. It can detect the cleanliness level of the environment which consists of three classes: “Cleanâ€, “Less_Cleanâ€, and “Dirty†in real-time. The dataset used to train the model was obtained by capturing images of the environment around the university.  The best result of the model was achieved by using an Adam optimizer with applying a dropout in the last layer of the network. The total accuracy of the model is about 83%

    Secured and Auditable Cryptography for Electronic Voting

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    Dengan adanya Electronic Voting (e-voting) diharapkan dapat menggantikan sistem pemungutan suara konvensional yang telah ada sebelumnya. Pada sistem e-voting ini menggunakan konsep Pret a Voter yang menggunakan skema paper ballot e-voting. Skema ini menggunakan Public Key Infrastructure (PKI). Skema yang diusulkan menggunakan paper ballot e-voting dengan pertimbangan telah popular di kalangan masyarakat, tetapi didukung oleh protokol enkripsi yang kuat untuk menjamin vote secrecy dan anonymity dari pemilih. Aspek verifiability dari suatu system e-voting juga merupakan hal fundamental. Sistem e-voting menggunakan system protocol mixnets dengan kompleksitas security cukup baik.

    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
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