PC computer is a flexible electronic device and can receive and process data quickly and accurately, and can also store data for a long time. There is a time when the PC hardware is damaged. So that it annoys the user. In connection with the problems that occur, the researchers aim to build an Expert System application to diagnose damage to PC computers using the Certainty Factor method by using Visual Studio 2010 applications and using Microsoft Access 2013 as a database. Applications that are built can be an alternative in knowing the type of damage and provide alternative solutions in handling damage to PC computer hardware.

Penyakit lambung dapat dialami oleh siapapun, secara tiba-tiba lambung terasa sakit tidak menentu. Rasa sakit lambung dapat diatasi dengan minum obat. Tidak mudah mengenal sakit yang disebabkan gangguan pada lambung. Terkadang masuk angin yang berlebihan dan terus menerus dapat mengakibatkan gangguan pada lambung. Lambung merupakan organ pencernaan yang berbentuk seperti kantong dan terletak diperut kiri rongga perut di atas diafragma, terdiri dari Kardiak, Fundus, dan Pyorus. Menurut kepakaran penyakit lambung terdiri dari Penyakit Gastritis, Penyakit Dyspepsia, Penyakit GERD (Gastroesophageal Reflux Disease). Untuk diagnosa gejala sakit, melalui seorang pakar lambung akan diterapkan sistem pakar dengan metoda Theorema Bayes. Seseorang yang bukan pakar menggunakan sistem pakar untuk meningkatkan kemampuan pemecahan masalah, sedangkan seorang pakar menggunakan sistem pakar untuk knowledge assistant. Perhitungan metode Bayes dalam mendiagnosa penyakit lambung  pada sistem pakar dirancang berdasarkan algoritma Bayes yaitu perhitungan sesuai dengan gejala-gejala penyakit yang diderita seseorang. Penyakit lambung diberi kode P01, P02, P03 ; gejala penyakit diberi kode G001 s.d G027. Dari perhitungan metode Bayes diperoleh Nilai Probabilitas dengan ada tidaknya penggunaan Theorema Bayes dalam setiap range. Sistem pakar juga memberi advice pengobatan medis berdasarkan diagnosa penyakit.

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In the sale of goods (products), companies often experience problems because of the irregular level of consumer spending. Determination of product layout is done to make it easier for consumers to find honey products so as not to disappoint consumers in finding the location of which products are suitable to be combined with other products that are often in demand by consumers, so that consumers can save time. Based on the problems faced by the company, data mining analysis tools are needed. Currently, the utilization of data that is owned is not fully maximized, it is limited to making reports. The problem of research is the accumulation of unused transaction data, the difficulty of placing products according to consumer needs. The absence of an effective product sales strategy. The application is built using the PHP programming language with the MySQL database. The data used for shopping cart analysis on the sales transaction of Joyo Flower Honey is 1 month transaction data. The combination of items with the highest support x confidence value will be used as a combination to determine the placement of the suitable item to be connected between the two products that consumers are most interested in. In addition, the combination of these items can be used by management to position the product on the shelf which will make it easier for consumers to find the product they need.

Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken’s body. To conduct a disease diagnosis, further examination is needed by specialists (experts). An expert system is a system that uses human knowledge that is entered into a computer to solve problems that are usually resolved by experts. The system created in solving problems uses the Bayes Theorem method in which the inference process uses Forward Chaining. The application was developed using the visual basic 2010 programming language and MySQL database.