<p>There are problems that still exist in online learning including limited-reach networks, inadequate facilities and infrastructure, and others. This study discussed the analysis of sentiment which used the Naïve Bayes Classifier (NBC) method with XGBoost feature selection as a performance improvement that took data from news portals. The results of this study showed that graph data on the application of online learning forms in Indonesia had a "Negative" opinion. Performance testing of the NBC method based on XGBoost feature selection was conducted four times. The first experiment resulted in an accuracy value of 60.18% with 50/50 split data. The next experiment had an accuracy value of 56.92% with 70/30 split data. After that, the third experiment resulted in an accuracy value of 65.90% with 80/20 split data. The result of the last experiment was an accuracy value of 63.63% with 90/10 split data. After using XGBoost feature selection, it produced an accuracy of 60.18%, 67.69%, 70.45%, and 77.27%. The study also produced the highest average score at 10-Fold Cross-Validation in the second trial with a score of 65.62%.</p>
Perkembangan teknologi dapat mendukung segala aspek kehidupan termasuk juga sektor pertanian. Tidak dapat dipungkiri bahwa pemilihan bibit yang baik dan perawatan tanaman yang baik, seperti intefikasi pertanian. Intefikasi pertanian terdiri dari pengolahan tanah yang baik dan pengairan yang teratur.tanaman cabai memiliki pertumbuhan yang sangat payah. Untuk tumbuh baik tanaman cabai harus memiliki kadar air pada tanah yang seimbang. Tugas akhir ini membahas tentang pengontrolan kelembaban tanah pada tanaman cabai. Pada tugas akhir ini di buat sebuah alat pengontrolan kelembaban tanah sekaligus penyiram tanaman otomatis. Pompa air sebagai penyiram tanaman cabai. Sistem kerja penyiram tanaman cabai ini secara otomatis menyesuaikan kondisi kelembaban tanah yang terpantau. Untuk melihat hasil dari monitoring kelembaban tanah dapat dilihat pada tampilan LCD.
This robot which is made of AtMega 128 wireless controlling devices is designed to move beams correspond to the given instructions. The aims are to control the robot's movements. The method of this robot design is based on object need anaylses to move objects such as massa in certain places with different size. Technically, it can move object from one place to another controlled with joystick connected to the robot via wireless. In addition to this, the robot moves forward, backward to the right and left with the hands up and down grasping or ungrasping simple objects like foams in a shape of beams. The disadvantage of this design is still affected by a motor speed which is not provided speed controllers. Finally, after examining, the researcher needs to note that the accuracy of this robot to move simple objects is up to 90%.
Coronavirus Disease-19 (Covid-19) is an infectious disease caused by the SARS-CoV-2 virus. The rapid spread of this disease has affected 216 other countries and regions, including Indonesia. In minimizing the spread and increasing losses, it is necessary to have several policies made by the Indonesian government in dealing with this. One of the policies taken by the government is the Convict Assimilation Program to prevent the spread of the virus in prisons. The Prisoner Assimilation Program fosters inmates by integrating prisoners into social life. Many media reported on the assimilation program in various media, including news portals, so that it became a forum for the public to express their opinions. News portals can be a source for getting public opinion. Therefore, sentiment analysis can be done to determine the sentiment of any existing public opinion. In this study, the analysis was carried out by applying one of the data mining methods, namely the Support Vector Machine, with positive, negative, and neutral sentiment labeling. The data used is audience comments in Indonesian with a dataset of 404 comments and then resampled so that the number of data becomes 669. The analysis uses the kernel Radial Basis Function (RBF), RBF with Grid Search, Polynomials, and Polynomials with grid search. Kernel RBF and Kernel Polynomial with Grid Search comparing test and training data 80%:20% with the highest accuracy of 95%.
Sebagai sentra komoditi nanas terbesar di Provinsi Jambi, masyarakat Desa Tangkit Baru menghadapi permasalahan pada ketidakmampuan pasar menyerap keseluruhan buah nanas yang telah dipanen, sehingga berujung pada kebusukan. Beberapa upaya telah dilakukan masyarakat yakni dengan mengolahnya menjadi dodol nanas. Proses produksi yang masih tradisional berdampak pada rendahnya produktivitas. Dengan demikian dilakukan program pengabdian kepada masyarakat di Desa Tangkit Baru dengan tujuan mengimplementasikan teknologi mesin pengaduk dodol nanas berbasis motor listrik dengan kompor gas pemanas. Adanya implementasi mesin tersebut memberikan dampak pada meningkatnya efisiensi waktu pengadukan/pemasakan dodol nanas sampai dengan 8,3%. Disamping itu, produk yang dihasilkan dari mesin ini memberikan tekstur dan tampilan yang lebih menarik, tanpa merubah cita rasa secara signifikan. Penerapan teknologi ini diharapkan mampu meningkatkan animo masyarakat mitra dalam membesarkan unit usahanya menjadi UMKM yang mandiri dan berkembang.
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