Susu kambing peranakan etawa merupakan susu bergizi tinggi yang memiliki banyak manfaat untuk tubuh manusia. Persebaran produk susu kambing etawa saat ini hanya sebatas penjualan di kendai atau market place sehingga manfaatnya belum merata dirasakan oleh masyarakat.Oleh karena itu, dirancang Vending Machine (VM) untuk penjualan susu kambing etawa untuk persebaran produk susu kambing etawa varian rasa menggunakan Finite State Automata (FSA) jenis Non-Deterministic Finite Automata (NFA). FSA digunakan untuk menggambarkan alur logika VM susu kambing etawa ini. FSA merupakan mesin abstrak berupa sistem model matematika dengan masukan dan keluaran diskrit terdiri dari string dan label dengan output terdiri dari 0s dan 1s yang dapat mengenali bahasa paling sederhana (bahasa reguler) yang menangkap pola dalam data dan dapat diimplementasikan secara nyata sehingga dapat dipahami oleh logika manusia. Dalam VM susu kambing etawa menggunakan FSA dilengkapi dengan dua metode pembayaran yaitu menggunakan uang tunai dan menggunakan e-money. Perancangan VM susu kambing etawa menggunakan FSA diharapkan dapat dikembangkan sehingga manfaat dari produk susu kambing etawa dapat dinikmati oleh masyarakat luas, khususnya masyarakat perkotaan.
The development of information technology is growing rapidly so that it enters various fields, the need for fast, accurate and accurate information is needed. But the fact is that high information needs are not balanced by the presentation of adequate information. Business development and competition are increasingly complex because consumers are very perspective making business people have to be smart in reading situations. So that business people can make a prediction of consumer interest to be used as a prediction of the company in making a decision, and change a strategy that is most appropriate for consumers. Decision makers try to utilize the available data warehouse, this encourages the emergence of new branches of science to overcome the extraction of information in very large amounts of data. To find out which Honda cars are most in demand by consumers, Data Mining techniques are required using the Apriori Algorithm method, and supported by the Tanagra Application by examining sales data for 1 year. Data Mining is an amalgamation of data analysis techniques, while Apriori Algorithm is the most frequently used method because it is very simple, easy and most widely proposed by some researchers, because there are two parameters namely Support Value and Confidence Value. Then the prediction results of the study found that Honda's car sales that most demanded by consumers were Brio Satya, HRV, Mobillio, Jazz, and CRV
Until now, cancer is one that suffered by the people of Indonesia, especially in cervical cancer (cervix) suffered by Indonesian women. Not only cervical cancer suffered by Indonesian women, but also other diseases that attack the female reproductive organs. Such diseases, cervical cancer, ovarian cancer, endometrial cancer, vaginal cancer, ovarian cysts and myomas. To prevent the number of deaths of patients, of course the initial diagnosis as one of the solutions. As used in this study in development an early diagnosis system of female reproductive cancer. This expert system adds value to the technology to assist in the handling of an increasingly sophisticated information age. This Expert System Application generates an Update that enables patients who suffer from symptoms that are felt by the patient. This system is also a result of the necessity of women suffering from cancer experienced by patients. The amount of trust value is the result of calculation using Certainty Factor method.
Otomata adalah mesin abstrak yang dapat mengenali, menerima, atau me’mbangkitkan sebuah kalimat dalam bahasa tertentu yang di dalamnya terdapat sebuah kajian tentang Finite State Automata yang dapat diimplementasikan dalam rancangan sebuah Vending Machine. Vending Machine di Indonesia banyak beroperasi dengan produk seperti makanan ringan, minuman, rokok, tiket, kopi, produk konsumen, bahkan emas. Dalam penelitian ini, akan diuraikan mengenai aplikasi simulasi Vending Machine jamu tradisional, berdasarkan implementasi Finite State Automata. Kesimpulan yang didapat dalam penelitian ini yaitu Finite State Automata dapat dijadikan sebagai logika dasar untuk membuat simulasi Vending Machine. Penelitian ini juga mengusulkan penggunaan state yang lebih sedikit, penggunaan uang kertas sebagai input dan kembalian untuk meningkatkan efisiensi dan biaya desain Vending Machine.
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