Pelatihan penggunaan Mendeley dan MS. Word untuk otomatisasi penulisan karya ilmiah diadakan untuk meningkatkan efisiensi dan akurasi dalam penulisan referensi dan format dokumen ilmiah. Pelatihan ini melibatkan 137 peserta menggunakan media zoom yang terdiri dari guru dan dosen dari Perkumpulan Profesi Multimedia dan Teknologi Informasi. Mendeley merupakan alat manajemen referensi yang membantu dalam pengorganisasian dan penyusunan kutipan secara otomatis, sementara MS. Word menyediakan fitur otomatisasi format yang mempermudah penulisan karya ilmiah sesuai dengan standar akademik. Studi yang relevan menunjukkan bahwa pelatihan semacam ini dapat meningkatkan keterampilan teknis dan produktivitas peserta dalam penulisan ilmiah. Hasil kegiatan pelatihan para peserta guru dan dosen mampu menghasilkan karya ilmiah yang lebih terstruktur dan berkualitas tinggi dalam waktu yang lebih singkat. Dengan demikian, pelatihan ini menjadi langkah penting dalam mendukung profesionalisme dan kualitas publikasi ilmiah di kalangan guru dan dosen.

Conveying appropriate information to be understood quickly and accurately is very important in various areas of life, both academic and non-academic. A teacher or lecturer is a teacher whose job is to educate and provide instruction to students or students. Data visualization is one way that can be used to present data. The advantage of this method is the availability of statistical graphics which can enrich the display of information so that the results are more interactive for the audience. Google Sites is a service owned by the Google company that can be used for e-learning. That way, the information becomes more appropriate to understand quickly and accurately.

Health is a very important thing in life. Therefore, to maintain health, we need adequate rest. Without adequate rest, the body will not be healthy and fit. In this study, a person's sleep disorder prediction will be made based on their lifestyle and work. The predictions made will classify sleep disorders that are absent, sleep apnea and insomnia from certain lifestyles and work. The methods used to make predictions are decision tree classifier, random forest classifier and naïve Bayes classifier. The test was carried out using a total of 375 data which was broken down into 70% training data and 30% testing data. The results obtained after testing with test data are by using the decision tree classifier algorithm to get an accuracy of 89.431%, using the random forest classifier algorithm to get an accuracy of 90.244% and by using the naïve Bayes classifier algorithm to get an accuracy of 86.992%.