Articles
Diagnosis Penyakit Rubella Menggunakan Metode Fuzzy Tsukamoto
Widya Febriani;
Gunadi Widi Nurcahyo;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v1i3.3
Rubella or better known as German measles is a viral infection characterized by a red rash on the skin. Lack of general public understanding of this disease makes the number of patients with Rubella increasing. So Fuzzy Tsukamoto's method is used to detect Rubella disease. The purpose of this study is to facilitate the public in understanding about Rubella disease so as to reduce the number of sufferers of this disease. The first step to detecting Rubella disease is to determine the fuzzy set and the domain which includes 3 variables: red rash, swollen lymph nodes, and fever. The output of fuzzy calculations is someone experiencing Rubella or normal symptoms. The value obtained from the calculation process usig the Tsukamoto method is 6.00.
Penerapan Artificial Intelligent Rough Set dalam Pengawasan Kinerja Notaris
Adek Putri;
Sarjon Defit;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v1i4.8
The Regional Supervisory Council (MPD) has the authority to conduct periodic checks on notaries. In carrying out supervision there is no clear legal or regulatory basis on how the notary performance assessment is categorized as very good, good or bad so there is no common perception from MPD members. The purpose of this study is to help MPD find the assessment category in monitoring the performance of the notary public in West Sumatra. To get the assessment category, the Rough Set method can be used to analyze the performance of a notary public. The data used in this study is the data notary examination at the Regional Office of the Ministry of Law and Human Rights in West Sumatra. This study produced 18 rules to get a decision whether the results of the notary performance check are very good, good or not good. So this research is very appropriate to be applied to get the results of the examination of notary performance.
Sistem Pakar dalam Mengidentifikasi Penyakit Kandungan Menggunakan Metode Forward Chaining Berbasis Android
Adi Gunawan;
Sarjon Defit;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i1.16
Maternal Mortality Rate (MMR) in Indonesia is very high, so that maternal health problems are a national problem. This problem needs to get top priority. The health of pregnant women is crucial for the growth of the fetus they contain. Pregnancy can cause a decrease in maternal resistance. This decrease will trigger the arrival of various diseases. For that we need a system that can identify uterine diseases quickly and accurately. This study aims to identify uterine diseases in pregnant women based on symptoms experienced. This identification is the initial information that is useful to support the decision to take preventative action. Data processed in this study were 20 patients. This data is sourced from the Sungai Melati City Clinic which goes to an obstetrician, Dr. Yandi Zulkarnaen, SpOG. The method used in processing data is Android-based Forward Chaining. The results of this study include the name of the disease, description of the disease, and treatment solutions. After testing and calculating the level of system accuracy, a good degree of accuracy is obtained from the system calculation results with an expert decision of 90% of the 20 test data. Based on the level of accuracy, the expert system is very precise in identifying uterine diseases quickly.
Sistem Pakar Diagnosa Sikap dan Gaya Belajar untuk Menerapkan Akhlakul Karimah pada Siswa
K Kadrahman;
S Sumijan;
Y Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i2.19
Expert system is one of the use of technology in supporting every human activity. One of the uses of the expert system is for education. The expert system will help teachers to analyze the attitudes displayed by students. The purpose of this study is to analyze the attitudes and learning styles of students, apply good moral methods to students and determine the type of good approach to students using the Forward chaining method. The data needed for this research is student attitude data, data on learning style types, and moral data of morality and data on solutions to the application of morality and character. This research resulted in a solution in the form of the method of moral lighting according to the learning style with data accuracy of 86.2%. The conclusion of this study is that the design of an expert system for diagnosing student attitudes makes it easier for teachers to approach students.
Penerapan Algoritma K-Means Clustering untuk Melihat Hubungan Kegiatan Tahfiz dengan Hasil Belajar
Asri Hidayad;
Sarjon Defit;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i2.20
The purpose of this study is to evaluate whether Tahfiz activities and learning outcomes are effective or not. The data processed in this study were data on tahfiz activities and data on student learning outcomes in class XI (eleven) totaling 42 data sourced from memorization of tahfiz, tahfiz grades, and student grades in Madrasah Aliyah Negeri 1 Bukittinggi. Based on the analysis of the data, this classification uses one of the methods of the Data Mining algorithm, K-Means Clustering. K-Means Clustering algorithm works based on the grouping method, In this data mining technique consists of data testing and training data with the input of the number of memorization of tahfiz, and the value of tahfiz as well as learning outcomes. The results of this study the school can determine how influential this activity tahfiz on student grades.
Sistem Pendukung Keputusan Program Kerja Pengawasan Tahunan Menggunakan Metode Simple Additive Weighting
Indra Gunawan;
Julius Santony;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i2.21
The Annual Supervision Work Program (ASWP) is a measure of efficiency and effectiveness in implementing supervision in supporting Inspectorate performance. For the preparation of this ASWP using a Risk-Based Supervision Planning (RBSP) based on certain criteria. Decision Support System (DSS) is a system used to determine alternative ASWP to be implemented. The criteria are determined using the Simple Additive Weighting (SAW) method. The basic concept of the SAW method is to find the total weighting of the performance rating for each alternative. Testing is done from ASWP alternative normalized according to the type of attribute criteria (benefit or cost). The final result is obtained from the calculation process, namely from the 10 test data there is 80% compatibility of the data from the system calculation. The sum of the normalized matrix with weights per criterion shows an alternative ranking of the regional apparatus organization that is closest to the criteria to the most distant from the criteria. In order to get an alternative ASWP to be implemented.
Sistem Pakar dalam Identifikasi Kerusakan Gigi pada Anak dengan Menggunakan Metode Forward Chaining dan Certainty Factor
Rahmad Dian;
S Sumijan;
Y Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i3.24
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.
Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW
Monsya Juansen;
Sarjon Defit;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i3.26
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.
Prediksi Tingkat Pemahaman Siswa terhadap Data Nominatif Menggunakan Metode Monte Carlo
Lc Granadi Suhaidir;
S Sumijan;
Y Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i3.28
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.
Peningkatan Keamanan Router Mikrotik Terhadap Serangan Denial of Service (DoS)
Budi Jaya;
Y Yuhandri;
S Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang
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DOI: 10.37034/jsisfotek.v2i4.32
Denial of Service (DoS) attacks are one of the most common attacks on website, networks, routers and servers, including on router mikrotik. A DoS attack aims to render a network router unable to service requests from authorized users. The result will disrupt the operational activities of the organization and cause material and non-material losses. In this study, a simulation and analysis of DoS attacks using the Live Forensics method were carried out and the router security enhancement from rectangular software and hardware. From the research results obtained digital evidence of DoS attacks in the form of IP addresses and attacker activity logs. In addition, the increase in router security in terms of software by using Firewall Filter and Firewall Raw has proven effective in preventing attacks. While improving router security in terms of hardware by setting a reset button on the router and firewall devices is also very necessary so that the router can avoid physical attacks by irresponsible persons.