Selama ini semua proses pembelajaran di SMK Daarut Taufiq Tangerang masih bersifat konveksional, dengan kata lain bahwa proses belajar mengajar antara siswa dengan guru hanya dapat dilakukan dengan syarat terjadinya pertemuan antara siswa dengan guru di dalam kelas. Jika pertemuan antara siswa dengan guru tidak terjadi atau guru yang bersangkutan tidak hadir dan waktu pembelajaran yang dibatasi pihak sekolah m maka secara otomatis proses pembelajaran pun akan terhambat. Untuk merancang aplikasi ini digunakan metode pererancangan struktural yaitu pembuatan Entity Relationship Diagram (ERD) dan pembuatan Logical Relationship Structure (LRS) untuk merancang dan mendokumentasikan sistem perangkat lunak berdasarkan aliran data. Dengan adanya e-learning ini dapat membantu proses belajar mengajaran agar lebih optimal. Memudahkan para guru untuk dapat mendistribusikan materi pelajaran untuk siswa/i di SMK Daarut Taufiq Tangerang dn juga siswa/i dapat dengan mudah mendapat materi pelajaran.

Good accreditation results are the goal of the college. With good accreditation, prospective students can glance at and enter the tertiary institution. To achieve this, there are several aspects that affect good accreditation results, one of which is graduate students who play an important role in determining accreditation. Timely graduate students can benefit the college or a student. Graduates can be predicted before the final semester using a method one of which is the decision tree. Decision tree is a method that is simple and easy to understand by producing rules in the form of a decision tree, but using a decision tree model alone is not enough to produce optimal results. So we need a method for optimization that is particle swarm optimization with advantages can improve accuracy by eliminating unused features. From the results of research with primary data of 2000-2003 graduate students in Amik PPMI Tangerang explained that the particle swarm optimization method can increase accuracy by 87.56% and increase by 01.01% from the decision tree method with a value of 86.55%. From the particle swarm optimization method can also find out which unused attributes have no weight, so that way can improve accuracy. From the results of the increase, it can be used by the Amik University of Tangerang to prevent students from graduating on time.

Speed and simplicity in the process of finding documents and information have become a necessity in the campus library. The speed in finding a skripsi document that is currently still very long to find the data and more simple in displaying what you are looking for then we aim to search and find skripsi documents in a digital library at a private university in Jakarta more quickly and display what which is searched precisely. An approach is needed using the VSM method that encourages without complete keywords, and to see the effectiveness of research searches. The results of the VSM method can be applied for the development of prototype applications. The prototype used to facilitate the process of searching or finding the documents and information needed is fast and simple.

Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-NonKomersial 4.0 Internasional. Abstract-As with Japanese animated films or can also be called an anime film which is now starting to be popular with all circles regardless of age, status and profession. In Japanese anime films, it has several genres from action, comedy, drama, romance, adventure, etc., can be accessed as in online media such as websites that offer various types of anime, one of which is myanimelist.net on this web having 14,000 anime films shared genre. One way to increase the appeal of anime films is to use the genre data that is often watched by anime movie lovers. With these data we foam analyze what types of genres are the most watched, as well as the tendency to choose alternative genre types that are liked by anime movie lovers. So with these data the creator can determine the strategy for the type of genre that will be created next. a priori algorithm is good for use for itemset formation, pattern searching and so on. Therefore in this study the a priori algorithm was used to determine the pattern of selection of genre types in Japanese Anime Films.

Cancer is a disease that is feared by humans at this stage, the genetic term of most diseases that have the characteristics of abnormal cell growth and beyond the normal cell limits so that they can attack cells that cover and are able to spread to other organs. For cancer recovery therapy is immunization therapy. Of course in this alternative treatment still needs to be done research to determine the level of success with existing conditions and parameters. Increasingly sophisticated, developing technology that helps human work. The neural network algorithm is used to analyze large datasets, the purpose of this study is to find the accuracy and immunotherapy methods of the dataset using a neural network learning machine with 200 data training cycles, 0.9 momentum and 0.01 learning levels that produce quite high accuracy 80 % and AUC value of 0.738