Jurnal Sistim Informasi dan Teknologi http://jsisfotek.upiyptk.ac.id/index.php/JSisfotek Rektorat Universitas Putra Indonesia YPTK Padang en-US Jurnal Sistim Informasi dan Teknologi 2686-3154 Sistem Pakar dalam Identifikasi Kerusakan Gigi pada Anak dengan Menggunakan Metode Forward Chaining dan Certainty Factor http://jsisfotek.upiyptk.ac.id/index.php/JSisfotek/article/view/36 <p>Tooth decay in children is one of the most common problems found. This damage has a long-term effect on children's dental health. The limitation of expert doctor's service hours and the disproportionate number of doctors and patients makes the service to patients not optimal. Then we need an expert system to help the role of expert doctors in diagnosing tooth decay. One of them carried out treatment or prevention measures from the start. In this study forward chaining and certainty factor methods are used, in which this expert system can assist an expert in diagnosing tooth decay based on the symptoms experienced by the patient. The forward chaining method will be collaborated with the certainty factor method to calculate the accuracy of the type of tooth decay experienced. The use of these two methods aims to provide better results in overcoming or preventing tooth decay in children. From the test results obtained knowledge for patients in dealing with or preventing tooth decay with an accuracy rate of 91.20%. The application of an expert system can be used for early action in overcoming or preventing tooth decay in children.</p> Rahmad Dian Sumijan Sumijan Yuhandri Yunus ##submission.copyrightStatement## 2020-09-30 2020-09-30 65 70 10.37034/jsisfotek.v2i3.36 Sistem Pakar dalam Mendeteksi Kerusakan Laptop dengan Metode Case Based Reasoning http://jsisfotek.upiyptk.ac.id/index.php/JSisfotek/article/view/67 <p>Laptop is an electronic device that is very widely used today, so the damage to this tool is the most frequently found case. Very many laptop users do not understand the type and level of damage. So researchers conducted this research in making it easier for users to detect laptop damage earlier. This study uses an Expert System that functions as a substitute for experts as a media consultation. The method used is Case Based Reasoning of laptop damage data on Lutfi Computer. The results of this study can detect damage more quickly and precisely in helping users to find the right solution to overcome the damage. So this research is very helpful for laptop users in general in overcoming early on accurately, so users can determine an accurate solution in dealing with damage to their laptops.</p> Harif A Rahman ##submission.copyrightStatement## 2020-09-30 2020-09-30 71 76 10.37034/jsisfotek.v2i3.67 Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW http://jsisfotek.upiyptk.ac.id/index.php/JSisfotek/article/view/68 <p>Many students choose majors because of joining friends, because of the popularity of majors and other reasons even though the chosen majors are not in accordance with their talents. This research is expected to provide solutions to students regarding the majors they will choose. If this problem can be overcome then it will greatly affect both students and schools, the impact on students will be increased enthusiasm and enthusiasm for learning, for schools the impact will be the development of every department there is because the output produced is competent students because of the knowledge delivered right on target. This research is expected to minimize the mistakes in the selection or determination of student majors by applying the SAW method, can determine what variables determine the accuracy of the majors separation by applying the SAW method. The data tested on this system is the data of Bengkulu 1 Vocational School students as many as 100 student data on the Computer and Information Engineering skills program. he data that is processed in this system is the data of Bengkulu 1 Vocational School students as many as 204 student data on the Computer Engineering and Information Technology expertise program. The method of decision making in the system is the Simple Additive Weighting method. The results of testing this method from 204 test data performed for an accuracy of 94,61%. The high accuracy obtained from testing the data so that this system is very suitable to be used to determine the majors of students of SMKN 1 Kota Bengkulu in the field of Computer and Information Engineering expertise.</p> Monsya Juansen Sarjon Defit Sumijan Sumijan ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-09-30 2020-09-30 77 83 10.37034/jsisfotek.v2i3.68 Prediksi Tingkat Penerimaan Lulusan Siswa Kejuruan dalam Dunia Usaha dan Industri Menggunakan Metode Monte Carlo http://jsisfotek.upiyptk.ac.id/index.php/JSisfotek/article/view/71 <p>Vocational High School (SMK) Negeri 4 Kota Jambi is one of the favorite vocational schools in Jambi City which is also the only pure tourism vocational school in Jambi Province. SMK Negeri 4 Kota Jambi has several vocational majors, namely culinary, beauty, fashion and hospitality. In general, students who choose to attend vocational schools have the hope of being able to work immediately after graduating from school, they do not need to continue to study to be able to work. In this study, researchers will predict the level of acceptance of students from SMK Negeri 4 Kota Jambi in the business and industrial world using the Monte Carlo method. Monte Carlo is a method that can find values ​​that are close to the actual value of events that will occur based on the distribution of sampling data. The technique of this method is to select random numbers from the probability distribution to perform the simulation. The data used in this study is the data of students from SMK Negeri 4 Kota Jambi who worked from the 2015/2016 Academic Year to the 2018/2019 Academic Year. Furthermore, the data will be processed using the Monte Carlo method. The simulation will be implemented using PHP programming. The result of this research is the level of prediction accuracy of students of SMK Negeri 4 Kota Jambi who are accepted in the business and industrial world using the Monte Carlo method is 84%.</p> Hasanatul Iftitah Yuhandri Yunus ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-09-30 2020-09-30 84 89 10.37034/jsisfotek.v2i3.71 Prediksi Tingkat Pemahaman Siswa terhadap Data Nominatif Menggunakan Metode Monte Carlo http://jsisfotek.upiyptk.ac.id/index.php/JSisfotek/article/view/73 <p>Kerinci Regency which was established on November 10, 1957 from the results of the division of 3 provinces, namely West Sumatra Province, Riau Province, Jambi Province. The district which is nicknamed the City of Sakti Alam Kerinci has a population of 253,258 people with an area of ​​3,808 km and consists of 16 sub-districts. So that training, technology, and improving Maunisa Resources are needed in various aspects of Kerinci society. Determine the level of accuracy of the Monte Carlo method simulation between the simulation results and the real data. In this study, the main data used were data for 2017, 2018 and 2019. The variable used in this study was the frequency of student scores in participating in learning. The value data will be processed using the Monte Carlo method assisted by Microsoft Excel for manual search. Student grade data for 2017 is used as trial data to predict in 2018, data for 2018 is used as trial data to predict the number of 2019, and data for 2019 will be used to predict the number in 2020 later. Where the highest prediction result is 96% where there are several competencies that have the same value. So that the average resulting from the predicted accuracy is 95% of the 7 competencies. The test results have clearly formed the boundaries. With an accuracy rate of 95%, it can be recommended to help the UPTD Kerinci District Work Training Center in predicting the level of understanding of students.</p> Lc Granadi Suhaidir Sumijan Sumijan Yuhandri Yunus ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2020-09-30 2020-09-30 90 95 10.37034/jsisfotek.v2i3.73