Portal akademik merupakan sebuah cara dalam menyebarkan informasi yang cepat kepada para pengguna serta dapat membantu dalam penyelesaian masalah yang dimiliki oleh sebuah institusi. Sebuah portal akademik yang merupakan sebuah sistem informasi digunakan oleh pengguna yang beragam. Keberagaman ini akan membuat pengguna puas maupun tidak puas dengan sistem yang ada sehingga perlu pengembangan lebih lanjut kedepannya. Salah satu metode yang dapat digunakan dalam mengukur tingkat kepuasan pengguna adalah metode pieces yang memiliki variabel penilaian performance, information, economy, control, efficiency dan service. Penelitian menggunakan kuisioner pada responden pengguna aktif portal akademik yang dilakukan penyebarannya melalui platform google form. Kuisioner menghasilkan tingkat kepuasan yang diperoleh hasil cukup baik. Perbaikan untuk pengembangan ke depan difokuskan pada variabel kontrol yang memiliki nilai terendah 450,67. Berdasarkan hasil kuisioner variabel kontrol memiliki penilaian rendah terhadap kondisi akses akun pada portal akademik, sehingga diperlukan pengembangan terhadap tampilan notifikasi peringatan ketika akun digunakan lebih dari satu perangkat.
Penelitian ini membahas tentang penerapan algoritma K-Medoids untuk pengelompokkan data penyakit berdasarkan jumlah kasus pada Dinas Kesehatan Kabupaten Agam. Algoritma K-Medoids merupakan metode klasterisasi pembatas untuk mengelompokkan sekumpulan n objek menjadi beberapa k klaster. Data yang digunakan 370 record yaitu jumlah penderita penyakit demam berdarah (DBD), tuberculosis, dan pneumonia dari tahun 2016-2019. Hasil pengujian diperoleh anggota masing-masing klaster untuk tiap-tiap penyakit yaitu tuberculosis klaster tinggi 32 dan rendah 60, penyakit pneumonia klaster tinggi 33 dan rendah 59, sedangkan untuk penyakit DBD klaster tinggi 10 anggota dan rendah 82 anggota. Pengujian menggunakan perhitungan manual dan aplikasi Rapidminer mendapatkan hasil yang sama dengan sistem. Ini menunjukkan bahwa sistem telah bekerja dengan baik. Hasil ini dapat digunakan sebagai bahan pertimbangan dalam mengambil kebijakan untuk pencegahan dan penanggulangan penyakit pada Dinas Kesehatan Kabupaten Agam.
This paper discusses the functionality testing of the augmented reality (AR) application, namely ARmaps. ARmaps is an AR application for directions that uses GPS-based tracking technology (GPS-based tracking). GPS-based tracking is one of the basic techniques in AR, which does not require special media to scan visual objects (marker-less) GPS-based tracking is used to display data digitally. Digital data displayed in the form of user location and directions. Based on the test results, it was found that there was an effect of the degree slant smartphone on the delay time in displaying 3D AR graphic objects. The test is done statically by adjusting the degree slant, namely acute, right-angle, and obtuse. Each test was carried out 30 times. Smartphones that support ARmaps performance should have an accelerometer, proximity, gyroscope, compass, A-GPS with Glonass and BDS sensors, as well as a camera. Smartphones that are placed with a large degree slant of 90o (obtuse angle) have a faster delay time in displaying 3D AR graphic objects, which is 12.7 seconds. This research becomes the basis for developing ARmaps as a guiding application (visualization guiding).
CV Jejak Publisher is a publishing company who has actively held writing competitions. However, there is a problem that occurs in the assessment process that has been running. The problem is several participants get the same value of the final score which makes it difficult for the jury to determine the order of winners. Therefore, to get a fairer and clearer result, need a calculation method that can support the jury's decision for determining the winners. This study aims to design a decision support system by applying the ROC and EDAS methods. ROC is used to assign a weighted value to each of the criteria set by CV Jejak Publisher, while EDAS is used to assess and rank the data of the participants. This system has output is the rank and final score of the participants from the highest to the lowest score. As a result, the ROC and EDAS methods were successfully applied to the system, as evidenced by 110 input data and all of them were successfully ranked by the system. The highest average score is 88.4 with the highest score based on 5 scoring criteria, namely 422. Thus, this system can be used to assist the jury in making a decision on the winner.
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