Tujuan dari penelitian ini adalah untuk mengetahui bagaimana peran teknologi pendidikan dalam menginternalisasi Pendidikan Agama Islam di sekolah. Metode yang digunakan penulis dalam penelitian ini adalah penelitian kualitatif dengan pendekatan wawancara dan studi literatur. Hasil penelitian menunjukan bahwa peran teknologi sangat dibutuhkan di masa pandemi untuk menjadi perantara atau alat komunikasi antara guru, peserta didik maupun orang tua. Dengan adanya teknologi dapat mempermudah proses pembelajaran tanpa harus bertatap muka. Penyampaian materi dapat diberikan melalui platform yang digunakan untuk pembelajaran, seperti halnya salah satu sekolah tingkat pertama di Batur Banjarnegara menggunakan platform whatsapp, google meet, google classroom, zoom cloud meeting maupun platform yang lainnya. Kesimpulannya yaiu Teknologi sangatlah bermanfaat dan praktis dalam memecahkan segala permasalahan seputar teknologi dan dapat digunakan sebagai pengetahuan dan ilmu pengetahuan. Dan di saat masa pandemi ini teknologi sangatlah dibutuhkan karena proses pembelajaranya dilakukan dengan daring dwngab harus menggunakan aplikasiaplikasi yang ada di dalam laptop ataupun di gadget. Pendidikan islam merupakan sesuatu yang sangat penting bagi kehidupan kita terutama di ranah pendidikan.maka dari itu pendidikan agama islam perlu dimasukan ke dalam kurikulum pendidikan
Waru Village is one of the villages in the Bogor Regency area. However, the selection of recipients of the Hope Family Program (PKH) in Waru Village is still subjective/qualitative so that the process of receiving the Hope Family Program (PKH) in Waru Village is not accurate and has not been on target. This makes the need for a method that can manage data on recipients of the Hope Family Program (PKH) and produce a ranking from the calculation of weight for the selection of recipients of the Hope Family Program (PKH). In making decisions about recipients of the Hope Family Program (PKH), there is a Simple Additive Weighting (SAW) method that can be used in quantitative problem-solving. With the SAW method, each criterion is compared with one another to provide results of recipients of the Hope Family Program (PKH) and provide an assessment of each recipient (alternative) of the Hope Family Program (PKH) in Waru Village. This study aims to determine the recipients of the PKH assistance program so that it can produce a decision on recipients of PKH assistance that the government distributes to the Waru village accurately on target.
SMK ITENAS Karawang merupakan sebuah bentuk perwujudan dalam mendidik genarasi muda bangsa Indonesia. Dengan perkembangan jumlah siswa yang terus bertambah dari tahun ke tahun, dituntut ketepatan dan ketelitian dalam memberikan informasi yang tepat dan akurat kepada siswa tanpa adanya pengulangan data yang sama. SMK ITENAS karawang sangat membutuhkan adanya sebuah sistem informasi yang menunjang dalam proses penyajian informasi akademik sekolah. Untuk itu penulis mencoba menangani masalah tersebut dengan merancang suatu Sistem Informasi Akademik Berbasis Web Pada SMK ITENAS karawang. Sistem informasi akademik merupakan salah satu solusi untuk memberikan sebuah informasi secara cepat, tepat dan akurat. sistem informasi akademik berbasis web sangat berguna dalam memberikan kemudahan baik kepada pengajar ataupun pelajar. Sistem Informasi Akademik Berbasis Web merupakan solusi yang tepat untuk mewujudkan sebuah sistem informasi yang efektif dan efisien.
Telemarketing is a promotion that is considered effective for promoting a product to consumers by telephone, other than that telemarketing is easier to accept because of its direct nature of offering products to consumers. Telemarketing is also considered to help increase a company's revenue. The problem of predicting the success of a bank's telemarketing data must be done using machine learning techniques. Machine learning used in the available historical data is a bank dataset of 45211 instances at 17 features using the multilayer perceptron algorithm (MLP) with resampling. The use of resampling aims to balance the unbalanced data resulting in an accuracy value of 90.18% and a ROC of 0.89%. Meanwhile, if the data resampling is not used in the multilayer perceptron (MLP) algorithm, the accuracy value is 88.6 and ROC is 0.88%. The use of resampling data becomes more effective and results in higher accuracy values.
Papaya California (Carica papaya L) is one of the agricultural commodities in the tropics and has a very big opportunity to develop in Indonesia as an agribusiness venture with quite promising prospects. So the quality of papaya fruit is determined by the level of maturity of the fruit, the hardness of the fruit, and its appearance. Papaya fruit undergoes a marked change in color during the ripening process, which indicates chemical changes in the fruit. The change in papaya color from green to yellow is due to the loss of chlorophyll. During storage, the papaya fruit is initially green, then turns slightly yellow. The longer the storage color, the changes to mature the yellow. The process of classifying papaya fruit's ripeness level is usually done manually by business actors, that is, by simply looking at the color of the papaya with the normal eye. Based on the problems that exist in classifying the ripeness level of papaya fruit, in this research, we create a system that can be used to classify papaya fruit skin color using a digital image processing approach. The method used to classify the maturity level of papaya fruit is the Convolutional Neural Network (CNN) Architecture to classify the texture and color of the fruit. This study uses eight transfer learning architectures with 216 simulations with parameter constraints such as optimizer, learning rate, batch size, number of layers, epoch, and dense and can classify the ripeness level of the papaya fruit with a fairly high accuracy of 97%. Farmers use the results of the research in classifying papaya fruit to be harvested by differentiating the maturity level of the fruit more accurately and maintaining the quality of the papaya fruit.
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