This data processing has the aim to increase the company's turnover, because by being aware of how the interest in buying goods works, the company can buy products other than the main products that it buys. In increasing company revenue can be done using the Data Mining process, one of which uses a priori algorithm and association techniques. With this a priori algorithm found association technique which later can be used as a pattern of purchasing goods by consumers, this study uses a data repository of 958 data consisting of 45 transactions. From the results obtained goods with the name Paper Chain Kit 50's Christmas is a product that is often bought by consumers and it is known that the most frequent combination patterns are the Retro Spot Paper Chain Kit and the Paper Chain Kit 50's Christmas. So that with known buying patterns, the company manager can predict future market needs, and can calculate the stock of goods that must be reproduced, and goods whose stock must be reduced, and also with the results of the association the manager can manage the layout of the product to be better.Keywords: Apriori Algorithm, Sales Data, Retail.
Era komputerisasi saat ini membuat dunia kesehatan memanfaatkan teknologi untuk kegiatan yang ada di rumah sakit maupun puskesmas. Namun pada sistem rekam medis yang sedang berjalan dipuskesmas terdapat kekurangan yang menghambat proses rekam medis dibagian pelaporan kunjungan terbanyak menggunakan perhitungan data-data secara langsung dengan melihat data sebelumnya yang sudah dicetak dan penyimpanan identitas pasien dicetak dan diarsipkan kedalam folder. Maka diperlukanlah sistem yang dapat memudahkan agar keakuratan data lebih terjamin dan adanya sistem maka pelayanan menjadi lebih efektif. Dalam pembuatan rekam medis ini, penulis menggunakan framework laravel yang memudahkan programmer dalam membuat dan mengembangkan aplikasi karena memiliki fungsi-fungsi yang sudah di organisasikan untuk membuat program dengan cepat. Buku yang berjudul “Sistem Informasi Rekam Medis (SIRAM) dengan LARAVEL 5.6” ini menjelaskan langkah membuat aplikasi,dimulai dari analisis kebutuhan, rancangan diagramnya seperti use case, activity diagram, ERD dan LRS, class diagram, sequence diagram, serta rancangan lengkap aplikasi seperti rancangan form master, pengolahan rekam medis dan laporan. Buku ini juga membuat kebutuhan dari pengguna aplikasi rekam medis dimana penggunanya terdapat beberapa user yang dapat menjalankan fungsi-fungsi sesuai dengan kebutuhannya.
Teeth are one of human‘s organs that feeds on food. As an organ, the tooth definitely can be attacked by some disease. There are many cases of dental disease that occur from dental diseases common to people to chronic dental diseases that can be dangerous. The low level of public concern about dental disease is a problem faced today. Evidenced by the small number of people who diligently consult with dentists about the health of their teeth. An alternative option is needed that can make it easier for people to be able to consult or diagnose dental health and disease without having to see a doctor of dental health. Therefore, in this essay an expert system was created to provide alternative choices for people. This expert system was created with the php hypertext preprocessor programming language. Using the forward chaining method as a tracking method. The purpose of making this expert system is to be able to be a substitute for a dental expert so that people can already do the diagnosis of dental disease anywhere and anytime.
Terrorist attacks are now being global issue both in developing and developed countries. There are more than 180,000 terrorist attacks in 1970-2017. Indonesia is one of the countries attacked by terorist. Bombings and firearms cause fatalities. Classification of terorist attacks can be performed based on either the attack succed or not. Succed attack is defined as an unavoided action that caused fatalities. There are seven attributes studied in this paper: year, month, attack type, terorist name, target attack, city, and weapon type uses to attack. Evaluations shows that k-NN classiefier exerts the highest accuracy of 90.79%, followed by naïve bayes 80.45%, and C4.5 of 88.825%.Keywords: Indonesia Terrorist, Classification Algorithm, Terorist Algorithm Classification.
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