Ketahanan Abrasi Metode Pelapisan Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Efek Samping Batuk Kering Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Uji Perbedaan Rata-rata Diameter Luar Bearing Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Efektivitas Kampanye Bijak Bersuara Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Pengaruh Aditif Baru pada Kekuatan Beton Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

For assignment 2, start with an existing dataset of user-item ratings, such as our toy books dataset, MovieLens, Jester [http://eigentaste.berkeley.edu/dataset/] or another dataset of your choosing. Implement at least two of these recommendation algorithms: • Content-Based Filtering • User-User Collaborative Filtering • Item-Item Collaborative Filtering As an example of implementing a Content-Based recommender, you could build item profiles for a subset of MovieLens movies from scraping http://www.imdb.com/ or using the API at https://www.omdbapi.com/ (which has very recently instituted a small monthly fee). A more challenging method would be to pull movie summaries or reviews and apply tf-idf and/or topic modeling. You should evaluate and compare different approaches, using different algorithms, normalization techniques, similarity methods, neighborhood sizes, etc. You don’t need to be exhaustive—these are just some suggested possibilities. You may use the course text’s recommenderlab or any other library that you want. Please provide at least one graph, and a textual summary of your findings and recommendations.

Sikap Masyarakat terhadap Kebijakan AI Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Evaluasi Kadar COD PT. Tirta Jernih Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Hasil Panen Tomat BioSubur vs NutriPrima Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Efisiensi Energi Mesin Tempa dengan SynthoLube 9000 Afnan Yazid Pradana 3337240013, Kurniawan Saputra 3337240017, Aqil Mahtuf Maulana Yusup 3337240029, Nadhif Alfasya 3337240040, Marco Eka Putra Naibaho 3337240067

Biostatistics career talk , My journey