Articles
<![CDATA[Implementasi Teorema Bayes Dalam Diagnosa Penyakit Ayam Broiler ]]>
<![CDATA[Nasyuha, Asyahri Hadi]]>;
<![CDATA[Hafizah, Hafizah]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v4i4.2366
<![CDATA[Broiler chickens are a type of chicken produced from the cultivation of animal husbandry technology which has a characteristic of fast growth, as a meat producer with low feed conversion and is ready to slaughter at the age of 28-45 days. Chicken health affects the benefits that will be obtained by the farmer, therefore the Expert System for diagnosing chicken disease using the Bayes Theorem method was developed to help users, especially broiler chicken breeders, in diagnosing diseases along with suggestions or recommended countermeasures. The application of the Bayes Theorem method in diagnosing disease in broilers is by entering the calculation algorithm of the Bayes Theorem method into the system, so that the expert system can perform calculations using the Bayes Theorem method and provide diagnostic results and correct solutions to the specified disease.]]>
<![CDATA[Implementasi Dempster Shafer Dalam Diagnosa Penyakit Impetigo Pada Balita ]]>
<![CDATA[Nasyuha, Asyahri Hadi]]>;
<![CDATA[Perangin Angin, Moch Iswan]]>;
<![CDATA[Marsono, Marsono]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v4i3.1901
<![CDATA[The diagnosis of impetigo by using an expert system that uses the source of expertise aims to obtain accurate information in accordance with the symptoms suffered by the patient, this expert system analysis uses the dempster shafer method with mathematical theory for proof based on belief function and plausible reasoning it makes sense to combine separate pieces of information (evidence) to calculate the likelihood of an event that can produce information from experts about the symptoms and solutions of impetigo symptoms accurately and build an expert application system program that is able to diagnose early impetigo in infants and provide solutions and information quickly]]>
<![CDATA[Penerapan Metode Fuzzy Mamdani Untuk Menentukan Stok Produk Herbal Berdasarkan Permintaan dan Penjualan ]]>
<![CDATA[Nasyuha, Asyahri Hadi]]>;
<![CDATA[Hutasuhut, Masyuni]]>;
<![CDATA[Ramadhan, Mukhlis]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 4 (2019): Oktober 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v3i4.1354
<![CDATA[Sales is one of the activities undertaken by many people as a promising business field. Prediction of the number of items to be sold must be in accordance with stock at the store so that demand and sales can be fulfilled. Therefore, we need a system to find out the amount of stock of herbal products so they do not experience problems in determining stock in each month. By using the Fuzzy Mamdani method as an algorithm for solving the problem, and the criteria are changed in the form of weighting so that the system can do calculations that provide the speed of information in the form of a computerized system. The results of this study aim to apply the Mamdani fuzzy logic method in predicting the amount of herbal product stock based on sales data and the number of requests. Provides results in the form of information printed in a report containing order data for the number of subsequent stock orders]]>
<![CDATA[Analisis Teorema Bayes Dalam Mendiagnosa Penyakit Tanaman Pisang ]]>
<![CDATA[Zunaidi, Muhammad]]>;
<![CDATA[Pane, Usti Fatimah Sari Sitorus]]>;
<![CDATA[Nasyuha, Asyahri Hadi]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3225
<![CDATA[Most of Indonesia's population earns a living as farmers who mostly cultivate various types of plants, one of which is the banana plant. Banana plant (Musa Paradisiaca L) is one of the horticultural crops that can be planted intensively due to very supportive soil and climatic conditions, especially in North Sumatra. However, the productive growth of banana plants in Indonesia is getting lower, this is due to the lack of knowledge of farmers about banana plant diseases and how to overcome them, another reason is the lack of agricultural managers who provide counseling to farmers about types of banana plant diseases and their prevention and prevention. In this study, we will take advantage of the development of analysis that adopts the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System with the Bayes Theorem algorithm that relies on probability values, so that it can provide diagnostic results that are in accordance with symptoms based on the knowledge base obtained from expertise. an expert in the field of banana plant diseases. The research will provide solutions for handling or preventing disease based on the rules that have been obtained from the expertise of an expert in the field of banana plants. So the analysis of the Bayes theorem algorithm is feasible to implement and can help banana farming communities in preventing disease and can help increase the productivity of banana plants]]>
<![CDATA[Analysis of FAM in satisfaction of inpatient services ]]>
<![CDATA[Muhammad Sabir Ramadhan]]>;
<![CDATA[Nizwardi Jalinus]]>;
<![CDATA[Refdinal Refdinal]]>;
<![CDATA[Marsono Marsono]]>;
<![CDATA[Yohanni Syahra]]>;
<![CDATA[Asyahri Hadi Nasyuha]]>;
<![CDATA[Buyung Solihin Hasugian]]>;
<![CDATA[Erika Fahmi Ginting]]>;
<![CDATA[Masyuni Hutasuhut]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v19i5.20295
<![CDATA[Patients are the main object who must get the best service at a hospital, because the quality of hospital services determines the recovery of a patient and the quality of the hospital. The quality of hospital services has two components, namely the fulfillment of predetermined quality standards and the fulfillment of patient satisfaction. Hospitals must provide services that focus on patient satisfaction. Improving the quality of health services can be started by evaluating each element that plays a role in shaping patient satisfaction. The application of evaluation measures to patient care in each hospital is needed as an increase in the quality of service to patients. The analysis of the fuzzy associate memory method has the closeness of human reasoning to get solutions to various problems so that they are easy to apply and understand. Utilization of decision support system (DSS) analysis with fuzzy associate memory method can be used as an evaluation of the perception of each consumer complaint to measure the level of patient satisfaction.]]>
<![CDATA[Frequent pattern growth algorithm for maximizing display items ]]>
<![CDATA[Asyahri Hadi Nasyuha]]>;
<![CDATA[Jalius Jama]]>;
<![CDATA[Rijal Abdullah]]>;
<![CDATA[Yohanni Syahra]]>;
<![CDATA[Zulfi Azhar]]>;
<![CDATA[Juniar Hutagalung]]>;
<![CDATA[Buyung Solihin Hasugian]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v19i2.16192
<![CDATA[Products are goods that are available and provided in stores for sale. Products provided in stores must be arranged properly to order to attract the attention of consumers to buy. Products arranged in a store will depend on the type of store. The product arrangement at a retail store will be different from the product arrangement at a clothing store. Store display will reflect a picture that is in the store so consumers know the types of products sold by product arrangement. An attractive arrangement will stimulate the desire of consumers to buy. In data mining there are several types of methods by use including prediction, association, classification and estimation. In the prediction method there are several techniques including the frequent pattern growth (FP-growth) method. FP-growth algorithm is the development of the apriori algorithm. So, the shortcomings of the apriori algorithm are corrected by the FP-growth algorithm. FP-growth is one alternative algorithm that can be used to determine the set of data that most often appears (frequent itemset) in a data set. Results of research on the application of the FP-growth algorithm to maximizing the display of goods. It is hoped that this research can be used to adjust the product layout according to the level of frequency the product is sought by the customer so that the customer has no difficulty finding the product they want.]]>
<![CDATA[Implementation of K-means algorithm in data analysis ]]>
<![CDATA[Asyahri Hadi Nasyuha]]>;
<![CDATA[Zulham Zulham]]>;
<![CDATA[Ibnu Rusydi]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 2: April 2022 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v20i2.21986
<![CDATA[Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems, a solution is needed in managing cosmetic products and can find the right strategy so that it can increase business in the field of sales and improve sales services by using algorithms in data mining that can overcome these problems, such as clustering techniques that use the K-means clustering algorithm as a way to measure proximity data between cosmetic products based on transactions that have occurred. The specialty of the analysis of the management of cosmetic products in this study is that it produces data on products that are not sold enough so that it can provide prevention so that the accumulation of these products does not occur. The use of K-means clustering also makes it easier to collect cosmetic sales transaction data, can solve problems in classifying cosmetic product sales transaction data and find out which products should be in cosmetics stock so as to increase sales profits]]>
<![CDATA[Sistem Pendukung Keputusan Kelayakan Event Organizer Dalam Menjalankan Event IBC (Intensive Bible Course) Di Yayasan Giving Indonesia Menggunakan Metode Multi Objective Optimazation On The Basis Of Ratio Analysis ]]>
<![CDATA[Rico Imanta Ginting]]>;
<![CDATA[Asyahri Hadi Nasyuha]]>
<![CDATA[ Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 1, No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Universitas Dharmawangsa ]]>
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DOI: 10.46576/syntax.v1i2.1138
<![CDATA[Perkembangan zaman yang semakin maju seperti sekarang ini membuat kebutuhan masyarakat semakin meningkat pula. Terlebih lagi didorong dengan adanya kemajuan teknologi yang sangat cepat. Pengaruh perkembangan teknologi telah menjamah berbagai bidang, contohnya saja pada bidang Penyedia Jasa Profesional Event Organizer (EO). Teknologi telah masuk didalamnya sebagai alat bantu untuk mengerjakan suatu pekerjaan ataupun melakukan identifikasi seperti kelayakan seorang EO untuk menjalankan suatu acara.Oleh karena itu dalam menentukan EO perlu dirancang suatu sistem pendukung keputusan menggunakan metode Multi Objective Optimization On The Basis Of Ratio Analysis atau yang disebut MOORA. Sistem ini diharapkan dapat membantu memecahkan masalah dan diharapkan sistem ini membantu pengguna jasa yang ingin menggunakan jasa EO, sehingga tidak mendapat kekecewaan ketika berlangsungnya event tersebut.]]>
<![CDATA[Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Obesitas ]]>
<![CDATA[Fauzi Erwis]]>;
<![CDATA[Devri Suherdi]]>;
<![CDATA[Ardianto Pranata]]>;
<![CDATA[Asyahri Hadi Nasyuha]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v6i1.3491
<![CDATA[Obesity is a disease that is caused by the condition of a person's body that has a lot of fat in his body and is overweight or very fat. This condition is usually caused by the intake of calories into the human body that exceeds the capacity required by the body, where this condition causes a buildup of calories that turn into saturated fat. These conditions cause various chronic diseases such as diabetes, hypertension and coronary heart disease. Therefore, in order to avoid disease conditions caused by obesity, treatment and knowledge are needed so that it is not too late to take action so that the disease does not become severe. One of them uses an expert system, so that people can check for diseases without having to see a doctor. The method used Hybrid Case Base is used to make the best decision from a number of symptoms or alternatives from the diagnosed disease. The aim is to make it easier for the public to find out the diseases they suffer from obesity and be able to check them early. Where this expert system applies the Hybrid Case Base method which has the final result of this research producing an accurate diagnosis with a sample of symptom data used and getting a similarity measurement percentage of 77% with a diagnosis of the possibility of having Type 2 Diabetes.]]>
<![CDATA[Sistem Pendukung Keputusan Menentukan Pemberian Pinjaman Modal dengan Metode Multi Attribute Utility Theory ]]>
<![CDATA[Asyahri Hadi Nasyuha]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v3i2.1093
<![CDATA[Technology development is very rapid, computers are utilized not only limited to data processing but also as solutions to problem solving in various fields of science, one of which is a decision support system. Decision support systems have added value in helping decision making by utilizing data and models to solve unstructured problems. In this case the decision support system is used to determine business capital borrowing using the Multi Attibute Utility Theory method. From the research carried out, many people have proposed business capital loans so that the capital provider is difficult to determine the prospective acceptance of appropriate business capital. Multi Attribute Utility Theory is used to find weighted sums of performance ratings for each alternative based on the values of each criterion. Ranking is the result of calculations using the Multi Attribute Utility Theory method.]]>
