Semakin meningkatnya perkembangan teknologi semakin banyak ragam buku yang beredar di internet. Seperti adanya sistem rekomendasi pada situs buku online yang menyediakan buku secara relevan dan sesuai kebutuhan dengan preferensi seseorang. Salah satu alternatifnya GoodReads yaitu situs jaringan sosial yang khusus pada katalogisasi buku dan pengguna dapat saling berbagi rekomendasi buku bacaan dengan memberikan rating, review maupun komentar. Sebagai situs rekomendasi buku yang besar, maka memiliki banyak data yang dapat diolah dengan menerapkan metode machine learning, namun masih belum diketahui model yang paling akurat. Dengan menggunakan model yang tepat, kita dapat memberikan rekomendasi yang lebih akurat. Untuk itu pada penelitian ini akan menganalisis data yang didapatkan dari www.kaggle.com yaitu dataset goodreads-books. Dalam penelitian ini, mengusulkan model klasifikasi data mining untuk mendapatkan model terbaik dalam merekomendasikan buku pada GoodReads. Algoritma yang digunakan yaitu Decision Tree, K-Nearest Neighbor, Naïve Bayes, Random Forest dan Support Vector Classifier, kemudian untuk evaluasi model menggunakan pengujian nilai accuracy, precision, recall, f1-score, confusion matrix, AUC dan Mean Error Absolute. Hasil pengujian beberapa algoritma klasifikasi diketahui bahwa Decision Tree memiliki akurasi tertinggi diantara metode yang dikomparasikan sebesar 99,95%, precision sebesar 100%, recall sebesar 96%, f1-score sebesar 98% dengan MAE sebesar 0.05 dan AUC sebesar 99,96%. Hal ini menjadi bukti bahwa algoritma Decision Tree dapat digunakan sebagai rekomendasi buku berdasarkan kategori buku pada GoodReads.

Abstrak  - Website merupakan kumpulan halaman dalam suatu domain yang memuat tentang berbagai informasi agar dapat dibaca dan dilihat oleh pengguna internet. Dengan adanya website, banyak informasi yang dapat disebar luaskan agar sampai pada pengguna informasi. Dalam perkembangan teknologi saat ini, penyampaian informasi yang cepat dan tepat sangat dibutuhkan. Perusahaan lebih mudah menyebarluaskan informasi yang mereka jual kepada masyarakat luas. Dengan adanya internet, perusahaan lebih mudah untuk menyebar luaskan informasi sehingga masyarakat lebih mudah untuk menerimanya. Dengan adanya teknologi internet saat ini sangat memudahkan didalam bidang promosi. Website dibuat dengan tujuan agar mempermudahkan para pelanggan untuk melihat-lihat jenis dan tipe yang ada dengan keterangan yang sangat jelas. Dan juga, memudahkan pelanggan untuk memesan kusen tanpa harus datang langsung ke perusahaan untuk memesan. Seperti kusen yang sangat dibutuhkan dan banyak dicari oleh masyarakat untuk melengkapi bangunan atau rumah mereka. Kata Kunci : Sistem Informasi Penjualan, Website, Promosi, Kayu Kusen Abstract  - Website is a collection of pages in a domain that contains various information so that it can be read and viewed by internet users. With the website, a lot of information can be disseminated to reach information users. In today's technological developments, the delivery of information quickly and precisely is needed. It is easier for companies to disseminate the information they sell to the wider community. With the internet, it is easier for companies to disseminate information so that it is easier for people to receive it. With the internet technology today is very easy in the field of promotion. The website was created with the aim of making it easier for customers to see the types and types that exist with very clear information. And also, making it easier for customers to order frames without having to come directly to the company to order. Such as frames that are needed and much sought after by the community to complement their buildings or houses. Keywords: Sales Information System, Website, Promotion, Wood Frame

The use of technology as a learning medium during the Covid-19 pandemic is an alternative solution to be able to continue to carry out long-distance learning activities. Existing technologies such as Google Meet, Google Classroom and Google Drive strongly support students and teachers and other academics in teaching and learning activities. The use of the facilities provided by Google can be useful for academics. Teaching and learning activities synchronously (synchronous) using video conferencing is an effective way. Not only that, asynchronous learning media using existing Google Classroom facilities such as discussion and chat features are one of the media to support distance learning to keep it running smoothly. The activity was carried out at Majlis Ta'lim Hidayatul Mubtadiin, which consisted of teenagers aged 12-17 years. Based on the questionnaires distributed during the activity, that as many as 96% were able to absorb the material with this distance learning media. So that learning can still be carried out effectively and conducively in the midst of the Covid-19 pandemic.

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Mobile has become a basic necessity at this time. Everyone certainly has a cellphone according to their daily needs. To capture connections and carry out various activities with just one hand. The object of this research is a review of smartphones that have the best artificial intelligent cameras. Data processing methods used in research using the Naïve Bayes algorithm. Naïve Bayes is known as one of the methods with the best classification accuracy results for text mining. The research objective is to facilitate customers who will buy a smartphone with the best AI camera without having to read product reviews. So that it can see based on the classification of positive text and label negative text classification. In this study, n-gram is used as a character selector to provide better accuracy results. Based on the results of research conducted, the accuracy of Naïve Bayes results is 72.00%, then Naïve Bayes with n-gram selection accuracy is N-gram = 2, 72.00% accuracy results, n-gram = 3, 75.00% accuracy results, and n-gram = 4 accuracy results 74.50%. In this study, carried out 10 times the experiment to measure the increased accuracy of the addition of n grams. Thus concluding that the application of the n-gram character can increase the accuracy of the Naïve Bayes algorithm.