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<![CDATA[Sistem Pakar dalam Mengidentifikasi Penyakit pada Sapi Bali Menggunakan Metode Certainty Factor ]]>
<![CDATA[M Rasyid]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v3i4.145
<![CDATA[Bali cattle are livestock that are very easy to maintain and the price is economical. Most of the people of Kampar Regency, Riau Province, keep cattle with the type of Bali cattle. The difficulty that is often experienced by Balinese cattle breeders is the disease that attacks Bali cattle. Lack of knowledge of breeders in diseases that attack Bali cattle resulted in the death of Bali cattle due to lack of handling and farmers suffered losses. The purpose of this study is to create an expert system that can assist veterinarians, animal health workers in identifying early diseases that attack Bali cattle and how to treat them early. To make it easier to identify diseases in Bali cattle, the method used in this study is the Certainty Factor (CF) method, where this method proves a fact in an incident based on evidence from experts. The data processed in this study were 6 types of diseases. The results of this study produce a value for the level of certainty of a disease that attacks Bali cattle and can assist veterinarians in identifying the types of diseases in Bali cattle.]]>
<![CDATA[Identifikasi Tingkat Pemakaian Obat Menggunakan Metode Fuzzy C-Means ]]>
<![CDATA[Hidayati Rusnedy]]>;
<![CDATA[Gunadi Widi Nurcahyo]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v3i4.152
<![CDATA[Medicine is one of the irreplaceable components in health services that can help in treating sick people. Planning for drug needs is one of the important aspects in drug management, because it affects the procurement, distribution and use of drugs in health care units. Planning the right drug needs will make procurement effective and efficient so that it is in accordance with the needs of health services with guaranteed quality and can be obtained when needed. Puskesmas is one of the health services that is managed under the District and City Health Offices. However, in reality there are still obstacles in the process of drug procurement at the Puskesmas so that it has not yet achieved excellent service related to the availability of drug services. Clustering in Data Mining can be used to analyze the use of drugs, planning and controlling drugs at the Puskesmas. The method that will be used in this research is the Fuzzy C-Means algorithm, which is the most widely used and relatively successful unsupervised machine learning method among many fuzzy clustering algorithms. The purpose of this study was to categorize drug data which can be used as a reference in making decisions in planning and controlling medical supplies at the puskesmas. Based on 501 Pharmacy Monthly LPLPO data records in October 2020-February 2021, the results obtained in cluster one are 179 types of drugs which are included in the low level of use, cluster 2 there are 18 types of drugs that are included in the moderate level of use and cluster 3 as many as 4 types. drugs that are included in the high level of use.]]>
<![CDATA[Sistem Penunjang Keputusan dalam Penentuan Calon Kepala Madrasah dengan Metode Weighted Product ]]>
<![CDATA[Ade Silvia]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v3i4.156
<![CDATA[Madrasah is one of educational institutions integrated in the system of national education as outlined in UU Sisdiknas No. 2 Tahun 1989 and updated in the UU No. 2 Tahun 2003. The manager or the headmaster of madrasah plays the most significant role in the progress of madrasah, having a variety of functions such as managerial and supervisional ones with implication on its physical and non physical aspects. Therefore, it is very essential to choose a headmaster of certain madrasah out of the best possible candidate. In West Sumatera, election of headmaster through promotion and rotation lies upon the authortity of the provincial office of the Ministry of Religious Affairs, i.e. its Head of Office and selection committee. To this time, the basis for the election depends on simple observation, interviews and a kind of selection process for a number of teachers sent by the regency offices of the Ministry of Religious Affairs. This survey is conducted to rank all promoted candidates according to certain criteria outlined by the regulations by computerised information system. The method used in this survey is weighted product, one of the methods of the Decision Support System DSS. With this method in the system, all possible candidates will be ranked and the selection commitee will need less time and more accuration to pick the best ones. It is hoped that this product will be a contribution to be used by the provincial office of the Ministry of Religious Affairs in West Sumatra and can be adjusted to needs of the office.]]>
<![CDATA[Prediksi Tingkat Produksi Buah Kelapa Sawit dengan Metode Single Moving Average ]]>
<![CDATA[Feri Irawan]]>;
<![CDATA[S Sumijan]]>;
<![CDATA[Y Yuhandri]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v3i4.162
<![CDATA[Palm oil is one of the largest agricultural products in Indonesia and has a high economic value and can improve the welfare of oil palm farmers. The amount of oil palm fruit production is not always stable or increasing, but increases up and down which is influenced by many factors. This study aims to estimate the average amount of oil palm fruit production every year and prepare anticipatory steps in the event of a decrease in oil palm fruit production. The image processed in this study was the production of palm fruit in a few years which was generated from the results of oil palm plantations. Furthermore, data is processed using the Single Moving Avarage method. This method is a method of forecasting or predictions using a number of actual data to generate predictive values in the future. The results of testing on the single moving average method can be seen forecasts of oil palm fruit production in 2021 using Moving Averge 3 of 200.749 tons with Mean Absolute Deviation 19.604, Mean Squared Error 456.963.281 and Mean Absolute Percent Error 10,0%. Moving Averge 4 was 206.771 tons with the Mean Absolute Deviation 27.333, Mean Squared Error 752.202.579 and Mean Absolute Percent Error 14,2%. Moving Averge 5 was 210.908 tons with Mean Absolute Deviation 26.890, Mean Squared Error 723.072.100 and Mean Absolute Percent Error 14.1%. The test results using the Single Moving Average method can be concluded that forecasting using Moving Average 3 can be used because the relative error level is smaller than Moving Average 4 and 5, with the value of the Mean Absolute Percent error of 10.0% and Mean Absolute Deviation 19.604.]]>
<![CDATA[Hybrid Thresholding Method in Detection and Extraction of Brain Hemorrhage on the CT-Scan Image ]]>
<![CDATA[S Sumijan]]>;
<![CDATA[Y Yuhandri]]>;
<![CDATA[Wendi Boy]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 7 Issue 2 (2021): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v7i2.2
<![CDATA[Brain bleeding can occur because of the outbreak of the blood vessels in the brain which culminated into hemorrhagic stroke or stroke due to bleeding. Hemorrhagic Stroke occurs when there is a burst of blood vessels result from some trigger factor. Segmentation techniques to Scanner computed tomography images (CT scan of the brain) is one of the methods used by the radiologist to detect brain bleeding or congenital abnormalities that occur in the brain. This research will determine the area of the brain bleeding on each image slice CT - scan every patient, to detect and extract brain bleeding, so it can calculate the volume of the brain bleeding. The detection and extraction bleeding area of the brain is based on the hybrid thresholding method.]]>
<![CDATA[Diagnosis Penyakit Rubella Menggunakan Metode Fuzzy Tsukamoto ]]>
<![CDATA[Widya Febriani]]>;
<![CDATA[Gunadi Widi Nurcahyo]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jsisfotek.v1i3.3
<![CDATA[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.]]>
<![CDATA[Penerapan Artificial Intelligent Rough Set dalam Pengawasan Kinerja Notaris ]]>
<![CDATA[Adek Putri]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 4 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jsisfotek.v1i4.8
<![CDATA[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.]]>
<![CDATA[Sistem Pakar dalam Mengidentifikasi Penyakit Kandungan Menggunakan Metode Forward Chaining Berbasis Android ]]>
<![CDATA[Adi Gunawan]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 1 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jsisfotek.v2i1.16
<![CDATA[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.]]>
<![CDATA[Sistem Pakar Diagnosa Sikap dan Gaya Belajar untuk Menerapkan Akhlakul Karimah pada Siswa ]]>
<![CDATA[K Kadrahman]]>;
<![CDATA[S Sumijan]]>;
<![CDATA[Y Yuhandri]]>
<![CDATA[ Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jsisfotek.v2i2.19
<![CDATA[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.]]>
<![CDATA[Penerapan Algoritma K-Means Clustering untuk Melihat Hubungan Kegiatan Tahfiz dengan Hasil Belajar ]]>
<![CDATA[Asri Hidayad]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[S Sumijan]]>
<![CDATA[ Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2 ]]>
Publisher : <![CDATA[Rektorat Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.37034/jsisfotek.v2i2.20
<![CDATA[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.]]>
