AbstrakSistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Salah satu cara untuk mengatasi dan membantu mendeteksi tingkat resiko penyakit JK seseorang, yaitu dengan membuat sebuah sistem pakar sebagai media konsultasi dan monitoring terhadap seseorang sehingga dapat meminimalkan terjadinya serangan jantung yang mengakibatkan kematian. Metode Dempster-Shafer merupakan metode penalaran non monotonis yang digunakan untuk mencari ketidakkonsistenan akibat adanya penambahan maupun pengurangan fakta baru yang akan merubah aturan yang ada, sehingga metode Dempster-Shafer memungkinkan seseorang aman dalam melakukan pekerjaan seorang pakar. Penelitian ini bertujuan menerapkan metode ketidakpastian Dempster-Shafer pada sistem pakar untuk mendiagnosa tingkat resiko penyakit JK seseorang berdasarkan faktor serta gejala penyakit JK. Manfaat penelitian ini adalah untuk mengetahui keakuratan mesin inferensi Dempster-Shafer.Hasil diagnosa penyakit JK yang dihasilkan oleh sistem pakar sama dengan hasil perhitungan secara manual dengan menggunakan teori mesin inferensi Dempster-Shafer. Sehingga dapat disimpulkan bahwa sistem pakar yang telah dibangun dapat digunakan untuk mendiagnosa PJK. Kata kunci— Dempster-Shafer, Jantung Koroner, Sistem Pakar AbstractThe expert systems can serve as a consultant that gives advice to the users and at once as an assistant to the experts. One way to cope and help detect the risk level of one’s coronary heart disease, is to create the expert system as media of consulting and monitoring a person so that can minimize the occurrence of heart attacks resulting in death. The Dempster-Shafer method is non monotonis reasoning method is used to look for inconsistencies due to addition or reduction of new facts that will change the existing rules, so that the Dempster-Shafer method enables one safe in doing the expert work. This research aims to apply the Dempster-Shafer uncertainty methods in expert system to diagnose the risk level of one’s coronary heart disease based on factors and symptom of coronary heart disease The benefits of this research was to know the accuracy of Dempster-Shafer inference engine.The diagnosis results of coronary heart disease is generated by an expert system similarly with manually calculating result using the theory of Dempster-Shafer inference engine. Therefore we can conclude that the expert system that has been built can be used to diagnose Coronary Heart diagnosis. Keywords—Dempster-Shafer, Coronary Heart Disease, Expert Systems
Abstract. The problem that is often gained by the industries of managing and distributing vegetables is how to distribute vegetables so that the quality of the vegetables can be maintained properly. The problems encountered include optimal route selection and little travel time or socalled TSP (Traveling Salesman Problem). These problems can be modeled using the Vehicle Routing Problem (VRP) algorithm with rating ranking, a cross order based crossing, and also order based mutation mutations on selected chromosomes. This study uses limitations using only 20 market points, 2 point warehouse (multi compartment) and 5 vehicles. It is determined that for one distribution, one vehicle can only distribute to 4 market points only from 1 particular warehouse, and also one such vehicle can only accommodate 100 kg capacity.
Digital forensics is a method to trace the digital evidence using knowledge of science. There are several stages in the method of digital forensics. Each stage has their own way to use the method collaborate with the tool of digital forensics. Nowadays, there are tools that we can use in digital forensics. Therefore, not all the tool coming with the help document on how to use the tool. This situation makes the investigator have to check the feature of the tool one by one in order to suit which one is the best tool to use in some stage. To overcome this problem, we made a system to determine the right tool in digital forensics using rule-based reasoning approach. The result of this paper is web-based system to determine the right tool in digital forensics. The system shows that only 40% in suitability to help the investigator to determine the right tool. This cause by lacking of the rule consists in the reasoning approach.
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