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Abstract— the community has the right to get quality and affordable health services. One effort to realize quality health services is the electronic medical record. The RME application is expected to be integrated between health services and has a function as a clinical decision support system. The purpose of this study is to implement the RME application in the educational clinic and evaluate the user's satisfaction about the RME application has been implemented. The method used for RME implementation was parallel implementation and evaluation of user satisfaction by the end user computing satisfaction method. Implementation of the RME application was carried out for 2 months in the educational clinic, from September to October 2019. The study involved 2 doctors, 1 registration officer, 2 nurses and 1 pharmacy officer. The results of RME application research can be implemented in educational clinic, RME applications with clinical decision support system in the form of blood pressure, risk of Diabetes Mellitus, risk of stroke, interaction of drug content with a history of allergies, as well as abnormal warnings of laboratory and radiological examination results.

Teknik pengetahuan yang dimiliki petani secara tradisional memiliki beberapa kekurangan, salah satu yang paling utama adalah proses penentuan hama dan penyakit pada tanaman tembakau serta pemberian solusi yang memerlukan waktu cukup lama dan biaya yang cukup besar.Hal inilah yang seringkali membuat para petani tembakau mengalami kerugian. Dengan adanya sebuah sistem pakar maka para petani tembakau tidak akan mengalami kesulitan untuk mendiagnosa hama dan penyakityang menyerang tanaman tembakau. Untuk mengatasi permasalahan tersebut, dibuat suatu sistem pakar untuk mendiagnosa hama dan penyakit pada tanaman tembakau menggunakandengan teknik penelusuran data forward chaining, dan menggunakan bahasa pemrograman Microsoft Visual Basic.Net,serta menggunakan database MySQL. System ini diharapkan dapat menganalisa beberapa gejala yang ada sehingga dapat menghasilkan keluaran yang lebih akurat.

Hydroponics is the cultivation of plants without using soil. Hydroponic flowers, herbs and vegetables are grown in a moist growing medium and supplied with a solution rich in nutrients, oxygen and water. In the application of hydroponics, nutrition is a need that must always be met for plant development where each plant requires different nutrients. Nutrient Film Technique (NFT) is a technique that is often used in hydroponic cultivation. Because in this method the circulation of nutrients contained in the water will always flow through the plant at any time. So that plant growth is faster, because plants get oxygen and nutrients all the time. The NFT technique is said to be an energy-intensive technique, because the water pump will run continuously and still use human power. From these problems, a technological innovation is needed to help overcome the existing problems. Advances and developments in IoT technology can facilitate various kinds of work, including controlling hydroponic systems, so that plant care can be carried out remotely and at any time. Information system is a technology that can be used as remote plant monitoring. Information will be obtained through monitoring devices that will be sent to the information system. The method used in this research activity is linear regression method. This method can determine the nutritional valve opening the next day, so that nutrition can be monitored using the system.

Abstract. Purpose: Dengue Hemorrhagic and Malaria fevers are the most common arthropod-borne diseases caused by mosquito bites and they also have similar signs and symptoms. Based on the problems, the researcher makes an expert system that aims to help people early detect fever diseases. This system is expected to help and support the infectious disease prevention and control program by the Ministry of Health of the Republic of Indonesia.Methods: This study uses an expert system with a combination of Forward Chaining and Certainty Factor to detect the symptoms of fever. Forward Chaining is a technique that begins with gathering information related to known facts, then combining rules to produce conclusions. The certainty Factor method is used to define a measure of certainty against a fact or rule and to describe the level of expert confidence in dealing with problems. There are 32 symptoms of the disease consisting of dengue fever, malaria and typhoid, it was obtained based on the literature and interviews with internal medicine specialist with 20 case datasets.Result: Based on 20 test data, obtained one data that does not match the test results and the desired target so that the system accuracy obtained is 95%. In addition, the combination of Forward Chaining and Certainty factor has better accuracy when compared to expert systems in previous studies.Novelty: Forward Chaining to find three rules and assigning weights to the Certainty Factor that has been set by the expert makes the combination of the two methods produce better accuracy.