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Sistem Pakar dalam Mengidentifikasi Penyakit pada Sapi Bali Menggunakan Metode Certainty Factor M Rasyid; S Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i4.145

Abstract

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.
Prediksi Tingkat Produksi Buah Kelapa Sawit dengan Metode Single Moving Average Feri Irawan; S Sumijan; Y Yuhandri
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i4.162

Abstract

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.
Hybrid Thresholding Method in Detection and Extraction of Brain Hemorrhage on the CT-Scan Image S Sumijan; Y Yuhandri; Wendi Boy
Journal of Computer Scine and Information Technology Volume 7 Issue 2 (2021): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v7i2.2

Abstract

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.
Sistem Penunjang Keputusan dalam Penentuan Calon Kepala Madrasah dengan Metode Weighted Product Ade Silvia; S Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i4.156

Abstract

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.
Identifikasi Tingkat Pemakaian Obat Menggunakan Metode Fuzzy C-Means Hidayati Rusnedy; Gunadi Widi Nurcahyo; S Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i4.152

Abstract

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.