The dataset for Santander banks is released on kaggle.com to decide whether the customer makes a transaction or not. The classes in this dataset are 2 with 200,000 entries in records. Earlier experiments using the regression algorithm led to a precision rate of 89%. In this analysis, the best accuracy value from the algorithm was obtained by using 6 different algorithms, namely Support for the Vector Machine (SVM), Neural Network (NN), Naive Bayes (NB), Decision Tree (DT). Before performing the data mining with the algorithm, preprocessing is carried out using a normalizing technique using the range transformation method with values 0 and 1. From the study, the best results were obtained in a Decision Tree 96.03% accurate algorithm, 95.82%, and 95.71%, 95.38%, 90.42%, 90.42%, and Naive Bayes 14.69%. The algorithms of the Decision Tree are 95.03%, 95.71% and 92%. Except for the Naïve Bayes algorithm, the precise value is better than previous study.

The transaction data for the purchase of the distro's cost of selling is quite stable but its sales are less than the sales target, so it is necessary to manage sales data. The focus of this research is focused on the management of purchase transaction data that will be used as a dataset. The management uses the FP-Growth algorithm which takes from the item set, from the algorithm it gets a buying pattern that will become information for making a decision. Based on the results of the study, the authors conclude that the pattern of purchases by consumers gets a pattern of sales, namely, consumers by buying 1 item of T-shirts from distributions will buy back one item of T-shirts from 26 different distributions. consumers by buying 2 items of t-shirts distributions will buy back 1 item of t-shirts from different distributions as many as 72 patterns, and consumers by buying 3 items of t-shirts distributions will buy back 1 item of t-shirts with different distributions of 25 patterns.

Kompetensi adalah suatu kemampuan atau kecakapan yang dimiliki oleh seseorang dalam melaksanakan suatu pekerjaan atau tugas di bidang tertentu, sesuai dengan jabatan yang disandangnya. Pendapat lain mengatakan arti kompentesi adalah suatu keterampilan, pengetahuan, sikap dasar, dan nilai yang terdapat dalam diri seseorang yang tercermin dari kemampuan berpikir dan bertindak secara konsisten. Dengan kata lain, kompetensi tidak hanya tentang pengetahuan atau kemampuan seseorang, namun kemauan melakukan apa yang diketahui sehingga menghasilkan manfaat. Dalam penelitian ini difokuskan pada klasifikasi siswa berkaitan dengan kompetensi yang dimiliki, pendekatan penelitian ini menggunakan algoritma decission tree, dengan tujuan mendapatkan pola rekomendasi kompeten dan tidak kompeten. Berdasarkan hasil penelitian menjelaskan bahwa akurasi yang didapat yaitu sebesar 76,96 %

Fungsi taman kota merupakan elemen estetika ruang kota, juga berfungsi sebagai elemen ekologi kota. Sebagai elemen ekologi kota, taman kota berfungsi sebagai penjaga dan pengatur iklim mikro. Selain itu, taman kota merupakan sarana umum yang ditata serta dibentuk untuk dapat dimanfaatkan oleh seluruh masyarakat kota sebagai sarana sosial. Dalam penelitian ini akan di rancang berbentuk animasi 3D dengan menggunakan metode pengembangan animasi 3d menggunakan software Sketchup dan Lumion menggunakan metode MDLC. Objek animasi 3D ini pilihan yang efektif  untuk membuat animasi yang dapat dirotasi dan berpindah  seperti objek riil. animasi 3D memiliki keunggulan dari segi kualitas bahan serta design yang menarik dan pelayanan yang baik. Dari kegiatan-kegiatan pembuatan media animasi 3D membuktikan perusahaan ini memiliki kreatifitas dan kualitas yang baik.Hasil penelitian tersebut dapat dinyatakan bahwa Perancangann animasi RTH dengan Sketchup dan lumnion   Dapat mempermudah dalam perancangan RAB sebanyak  30%.Dengan nilai t tabel. 1,699127 maka -t.tabel =-1,699127. Sedangkan t.hitung adalah -7,803. Karena nilai –t.tabel (-1,699127) > t.hitung (-7,803). Maka Ho ditolak Ha diterima

Population data processing is a main activity carried out by the Government Section of Cengal Village, Maja District, Majalengka Regency on an ongoing basis. Where the current system often finds difficulties when searching for population data, duplication of data is found as a result of ordered population data collection and the occurrence of damage and data loss as a result of the existing storage media only in the form of documents. The purpose of this research is to design a population data processing application in Cengal village. The system development method used is the waterfall method with PHP and MYSQL scripts as database managers. This population data application is designed and built in order to help facilitate the search for population data and processing population data regarding births, deaths, immigrants and relocations, reducing the occurrence of damage and loss of population data due to storage media in the form of documents and can shorten operational time. With the storage media in the form of a good database, it can improve the performance of the government section in serving and presenting population information to the public so that it is better, faster and the application used can provide convenience to the user