<p>Salah satu penyebab dari lamanya waktu tempuh mahsiswa di Jurusan Informatika UPN “Veteran” Jawa Timur adalah sullitnya memantau kemajuan studi mahasiswa secara seksama, mengingat jumlah mahasiswa yang cukup banyak serta pihak akademik belum memiliki metode yang akurat untuk memetakan mahasiswa yang diprediksi akan mengalami keterlambatan dalam penyelesaian studinya. Melalui perkembangan teknologi informasi yang berkembang pesat saat ini, maka sangat dimungkinkan untuk membuat sebuah sistem yang mampu memprediksi kemungkinan keterlambatan kelulusan mahasiswa melalui penggunaan berbagai metode komputasi yang ada. Salah satu pendekatan yang dapat digunakan untuk membuat sebuah sistem prediksi kelulusan adalah menggunakan pendekatan populer yang digunakan dalam pembuatan sistem cerdas <em>(intelligent system) </em>yaitu <em>case based reasoning </em>(CBR). Langkah-langkah yang dilakukan pada penelitian ini adalah melakukan pengumpulan dan memasukkan data kasus pada basis kasus, melakukan praprosesing yakni normalisasi atribut yang akan digunakan dalam perhitungan similartitas antar kasus menggunakan normalisasi min-max, implementasi CBR menggunakan metode Euclidean Distance, serta melakukan pengujian pada 141 data kasus. Dari sisi perhitungan akurasi, sistem mampu memberikan nilai akurasi paling tinggi sebesar 100% pada pada pengujian berdasarkan predikat kelulusan, sedangkan berdasarkan ketepatan waktu, sistem mampu memberikan akurasi tertinggi dengan nilai 85,71%, dan sistem mampu memberikan nilai akurasi tertinggi sebesar 71,43% pada pengujian berdasarkan massa studi. Untuk pengujian presisi, sistem mampu mengasilkan nilai terbesar berturut-turut sebesar 90,90%, 43,33%, dan 100%. Sedangkan pada pengujian sensitivitas, sistem berturut-turut mampu menghasilan nilai sebesar 90,90%, 40,48%, dan 100%. Hasil pengujian ini tentunya sangat bergantung dari basis kasus yang dimiliki, oleh sebab itu perbaikan dan peningkatan jumlah kasus yang dimiliki diharapkan mampu meningkatkan performa sistem rekomendasi.</p><p> </p><p><strong><em>Abstract</em></strong></p><p class="Judul2"><em>One of the reasons for the length of study time for students of the Informatics study program of UPN "Veteran" </em><em>Jawa Timur</em><em> is the difficulty of monitoring the progressy, given the large number of students and academics do not have an accurate method to map students who are predicted to experience delays. </em><em>I</em><em>t is possible to create a system that is able to predict the possibility of student graduation delay through the use of various existing computational methods. One approach that can be used to create a graduation prediction system is to use the popular approach namely case based reasoning (CB).</em><em> </em><em>The steps taken in this study are collecting and entering case data, normalizing the attributes using min-max normalization, implementing CBR using the Euclidean Distance, and system testing</em><em> in 141 data case</em><em>.</em><em> </em><em>Sy</em><em>stem is able to provide the highest accuracy value of 100% in testing based on the predicate of graduation, while based on timeliness, the system is able to provide the highest accuracy value with a value of 85.71%, and the system is able to provide the highest accuracy value of 71.43%. on testing based on the study period. For precision testing, the system was able to produce the largest values of 90.90%, 43.33% and 100%, respectively. Whereas in the sensitivity test, the system was able to produce values of 90.90%, 40.48%, and 100% respectively. The results of this test are of course very dependent on the basis of cases that are owned, therefore improvements and an increase in the number of cases owned are expected to be able to improve the performance.</em></p><p><strong><em><br /></em></strong></p>
Security is an essential aspect of information, especially in a network that is connected to the internet. Threats from inside or outside often disrupt network security. Telegram is a cross-platform messaging system that centers on the security and privacy of security and privacy of the wearer. The problem that often occurs in a company or institution that has a server is the lack of flexibility in the supervision process due to issues with human error, especially the admin server that is in charge of supervising server performance so that it is less able to observe the server for 24 hours. Looking at these problems, it is necessary to have a system that can perform remote monitoring processes to increase admin server flexibility. The system can monitor the server and send notifications. Notifications sent as information contained on the server and integrated in the telegram application. The information provided comprises uptime, Central Processing Unit (CPU) usage, ram usage, swap usage, active users, disk usage, user's login and logout. The use of Monitoring integrates the Telegram Application Programming Interface (API) function into it to be able to send messages and check in realtime. With the establishment of a Monitoring System that is equipped with checking and monitoring to the network more optimally, because of the integration between systems that are directly connected to the System Administrator.
During the COVID-19 pandemic, teaching and learning activities must be carried out online from home. The development of technology today really helps the online teaching and learning process, there are many tools / software that can be used. Tools / software commonly used in online teaching and learning activities are Ms. Word, Ms. Power Point, and Virtual Lab. Another impact of technological developments coupled with pandemic conditions has led to more interactions between humans being carried out online through internet intermediaries on cellphones or computers. Currently cellphones do not only function as a medium of communication, some work that was previously completed using a computer / laptop can now be completed using a smart phone. So that cellphones can be used for more positive activities and support the teaching and learning process, sharing is carried out with students through sharpening design creativity through mobile applications on smart phones. In this activity, students hone graphic design skills using the CANVA application to support the teaching and learning process. The enthusiasm of students is quite high, as evidenced by the work produced in the form of personal profile designs, extracurricular activities and logos. Students can practice well the material presented. The school welcomes this activity, and wants to form an extracurricular Graphic Design at SMA Dharma Wanita so that it becomes a forum for student creativity in graphic design.
Toko Nabila merupakan sebuah toko yang bergerak dibidang penjualan baik helm, alat tulis kantor (ATK), maupun perabot rumah tangga. Proses pengelolaan persediaan barang di Toko Nabila baik pemeriksaan maupun pencatatan masih dilakukan secara manual sehingga kurang efektif dan efisien juga beresiko terjadi catatan hilang atau rusak. Terdapat banyak jenis barang di Toko Nabila. Hal ini tentu sangat menyulitkan pemilik toko dalam memperkirakan jumlah kebutuhan dari setiap jenis barang yang harus dipesan. Permasalahan yang terjadi di Toko Nabila adalah kesulitan dalam menentukan jumlah barang yang harus tersedia untuk bulan berikutnya agar tetap dapat memenuhi kebutuhan pelanggan dan tidak menyebabkan penumpukan barang dalam jangka waktu yang lama. Pada penelitian pembuatan sistem prediksi persediaan barang ini menggunakan metode weighted moving average untuk memperoleh informasi mengenai prediksi persediaan barang pada periode mendatang dan reorder point untuk mengetahui kapan waktu yang tepat untuk melakukan pemesanan persediaan barang kembali di Toko Nabila. Pembuatan sistem prediksi persediaan barang berbasis web dibutuhkan untuk menjawab permasalahan yang terdapat di Toko Nabila. Pengujian hasil akurasi prediksi sistem pada penelitian ini menggunakan MAD, MSE, dan MAPE. Nilai rata-rata MAD, MSE, dan MAPE untuk 10 data prediksi persediaan barang adalah 7,44, 77,99, dan 31,90.
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