Fuzzy Sugeno Method Research Articles

Enhancing The Performace of Load Real Power Flow using Dual UPQCDual PV System based on Dual Fuzzy Sugeno Method

Enhancing The Performace of Load Real Power Flow using Dual UPQCDual PV System based on Dual Fuzzy Sugeno Method

Time Control Nebulizer Operation Using Fuzzy Sugeno Method

Nebulizer is one of the electro medic devices that serve to provide therapy for patients who experience abnormalities or disorders of the respiratory tract. Nebulizer system works using piezo electronic device to produces high frequency vibration. With this high frequency vibration the drug liquid molecules breaks down become fumes, thus it can easily to inhale for patient even for children. Unfortunately like other aerosol drug delivery system, the operation of nebulizer is also still manual. The patient doesn’t really know when the drug is empty on the canister. The nurses also need to check in regularly to see if the drugs are empty or not. In this paper a fuzzy sugeno methods is used to give prediction of nebulizer time operational. We propose fuzzy sugeno to calculate the time operational nebulizer using two parameters, such as drug droplet size and drug liquid volumes that have been administer by nurses. Using fuzzy sugeno method we can solve the nebulizer manual operational time problem. Our result show that the longest operational time was 26.07 minutes, this achieve when liquid volume was 5 ml and the size of drug droplet was 1 um. Meanwhile for the shortest operational time was 8.07 minutes, this achieve when liquid volume was 10 ml and the size of drug droplet was 4 um. We can conclude that we had successful to control nebulizer operational time using fuzzy sugeno method.

Fuzzy Sistem Fuzzy Menggunakan Metode Sugeno Dalam Akurasi Penentuan Suhu Kandang Ayam Pedaging

Daging ayam merupakan salah satu jenis lauk yang umum dikonsumsi. Rasa daging ayam yang enak dan ukurannya yang cukup besar, harganya yang murah menjadikan ayam makanan yang digemari oleh banyak orang. Untuk menghasilkan daging ayam berkualitas tinggi perlu sistem yang memudahkan peternak untuk memelihara ayam salah satunya yaitu sistem dalam akurasi penentuan suhu kandang ayam pedaging. . tujuan dari penelitian ini untuk mendapatkan suhu yang sesuai dengan umur ayam serta dalam pemiliharaan. Pada penelitian ini mengunakan metode Fuzzy sugeno dalam upaya untuk membangun pendekatan sistematis untuk membangkitkan aturan – aturan fuzzy dari himpunan data input –output yang diberikan Dengan variabel fuzzy suhu , umur ayam dan keputusan . dimana dalam setiap variabel fuzzy terdapat variabel linguistik, umur (kecil, remaja, dan dewasa), suhu (dingin, sedang, dan panas), keputusan (dingin, ideal, padanas) Nantinya akan di proses dengan Matlab R2013a dan dapat diimplemetasikan dengan Arduinno Mega 2560 menggunakan kompiler pemrograman Arduino IDE(Integrated Development Environment) Studi khasus dalam penelitian ini dilakukan pada kandang ayam pedaging dengan ukuran kurang lebih 40X10 m dengan kapasitas sekitas 5000 ekor ayam pedaging . Hasil dari pengujian terhadap metode ini adalah suhu ideal yang sesuai berdasarkan inputan umur dan suhu kandang ayam pedaging . dari uji coba yang telah dilakukan dapat disimpulkan Metode Fuzzy Sugeno yang di implementasikan dengan mikrokontroler Arduino Mega 2560 dapat meninggkat akurasi suhu ideal pada kandan ayam pedaging.

Forecasting competition for sales of local and national bottled drinking water in madura using fuzzy sugeno method

Bottled Drinking Water (AMDK) is processed water, without other food ingredients and food additives, packaged, and safe to drink. AMDK itself which is widely known in the community is national product AMDK. However, local products have emerged to try to compete with national product AMDK. As for local product AMDK which is produced mainly in Madura, the average product is made from Islamic boarding schools. From the level of competition, the idea is emerged for forecasting primarily in the field of sales using the fuzzy Sugeno method. The results obtained from fuzzy Sugeno are turned out to produce a MAPE that the value for local AMDK is 6.4795 and a national AMDK is 2.5353, so that the conclusion about national production is closer to the real value than local AMDK. This study contributes that the predictive value of sales competition is quite accurate based on the MAPE value is below 10. This study provides recommendations to local sellers to make improvements in factors in order to be better than national sellers.

Water level measurements at the cikupa pandeglang bantendam using fuzzy sugenowith microcontroler-based ultrasonik sensor

This cikupa dam is very useful so that irrigation in the fields is not too much, one of the officers’ negligence in the rainy season was forgetting to close the door of the dam which resulted in flooding in the area of rice fields. If a large flood occurs, this will result in the possibility of crop failure. Therefore, a tool was made in the form of a water level measurement tool using an ultrasonic sensor with Fuzzy Sugeno method.The existence of this logic is expected to increase the accuracy of water level measurements as the scope of research writing. The results obtained in this study are accurate water level measurement models. By the research of ultrasonic sensors using the Fuzzy Sugeno method, it is expected that the dam guard will get a warning sound to close the door of the dam. The conclusion obtained is that by using the Fuzzy Sugeno method the calculation of accuracy can be more maximal.

Penerapan metode fuzzy sugeno untuk prediksi persediaan bahan baku

PT. Cahaya Boxindo Prasetya is a company engaged in the manufacture of carton boxes or boxes. The company's activities also include cutting and printing services using machinery and human power. The problem faced in this company is the difficulty of predicting the amount of inventory of raw materials that will be included in the production. The remaining raw materials for production will be used as the final stock to get the minimum, the goal is to reduce excess stock Overcoming this problem, fuzzy logic is used to predict raw material inventories by focusing on the final stock. In this study using Fuzzy Sugeno, with three input variables, namely: initial inventory, purchase, production, while the output is the final stock. Determination of prediction results using defuzzification using the average concept of MAPE (Mean Absolute Percentage Error). The results obtained, using the Fuzzy Sugeno method can predict the inventory of raw materials with a MAPE value of 38%.

Memprediksi Pembelian Kerupuk Kulit Menggunakan Logika Fuzzy Sugeno Pada Home Industri

Skin crackers are a very profitable business of skin crackers when run, but many skin crackers entrepreneurs are overwhelmed in calculating the purchase of skin crackers. This study uses the Fuzzy Sugeno Method which is a method used in decision making as well as determining the income of an agency. For that, the Sugeno method is very suitable in solving the problem of determining the purchase of skin crackers

Penentuan Server Kritis Dengan Menggunakan Fuzzy Mamdani Dan Fuzzy Sugeno Pada PT SAMUDERA INDONESIA TBK

PT Samudera Indonesia Tbk merupakan perusahaan yang bergerak dalam bidang jasa yang berupa logistik. Sebagai perusahaan jasa, sangat mengutamakan pelayanan terutama dalam memberikan layanan informasi kepada customer atau client. Namun, dalam sering terjadi masalah teknologi sistem informasi yang digunakan khususnya yang terjadi adalah server down. Hal ini disebabkan beberapa faktor tidak bisa diprediksi. Ditambah lagi perusahaan ini masih bergantung kepada peranan personil IT untuk menunggu penanganan kejadian server down. Upaya mengetahui tingkat kritis server adalah salah satu pencegahan atau mitigasi terhadap gangguan yang beresiko fatal terhadap proses bisnis perusahaan maka dibutuhkan sistem pendukung keputusan. Dalam penelitian ini, penulis membandingkan perhitungan metode logika fuzzy mamdani dengan metode fuzzy sugeno untuk mengukur tingkat kritis server yang digunakan PT Samudera Indonesia Tbk. Penelitian ini menghasilkan sebuah Prototipe yang dibangun dengan Matlab R2013a, dapat digunakan untuk menghitung tingkat kritis pada server. Prototipe tersebut menggunakan dua metode fuzzy mamdani dan fuzzy sugeno. Metode fuzzy mamdani memiliki akurasi rata-rata 85,21%. Dari perhitungan kedua metode tersebut, hasil nilai akurasi yang tertinggi akan dijadikan sebagai acuan dalammenentukan server yang kritis.Kata Kunci: SPK, Server, fuzzy mamdani, fuzzy sugeno, Matlab R2013a

SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE FUZZY SUGENO UNTUK MENENTUKAN CALON PRESIDEN MAHASISWA DI UNIVERSITAS ASAHAN

Abstract - The student president is a student leader who aims to mediate students with the rector. Every year a student presidential election will be held. To carry out the elections, of course, they must have candidates as candidates. To become a candidate, the committee selects candidates based on the conditions that have been determined. The selection is done manually. However, candidates come from different faculties and departments which result in all its limitations, the committee will have difficulties and it will take a relatively long time to determine the candidates. Therefore, building a decision support system using the Sugeno fuzzy method to determine student presidential candidates is a good idea. This study aims to design and implement a decision support system with fuzzy Sugeno method, to facilitate the committee in working. This study uses a library research method. Where the source of information is obtained from books, journals, and others. To design a system created using UML. Based on system design, implementation and testing, the conclusion is that a decision support system with fuzzy sugeno method can determine student presidential candidates. The system built can be used as an alternative in selecting student presidential candidates because it can facilitate the committee in processing data to make decisions. Keywords - Prospective Student President, Decision Support System, Fuzzy Sugeno

Implementation IoT in System Monitoring Hydroponic Plant Water Circulation and Control

Hydroponics is the cultivation of plants by utilizing water without using soil by emphasizing the fulfillment of nutritional needs for plants. Deep Flow Technic (DFT) is a type of hydroponics that implements a continuous flow of nutrients and there is a pool of half of the diameter of the pipe that inundates the roots of the plant. A common obstacle experienced by DFT is the lack of maintenance of plant growth elements such as water circulation, light intensity, temperature, humidity and pH of the water which causes these plants not to grow optimally. Then it is necessary to monitor and control the circulation of water on DFT-based IoT hydroponics to anticipate changes in plant growth elements. Data on plant growth elements are acquired by sensors integrated with Raspberry Pi. In the monitoring process using the website will display data on plant growth elements in the form of pH, temperature, humidity and water level in the hydroponic reservoir. Temperature and humidity are used as water circulation control parameters that are processed using the Fuzzy Sugeno Method. From the results of the tests that have been carried out, the system can monitor plant growth elements displayed on the website in real time and control water circulation automatically. The system applied in the hydroponics of mustard greens also produces significant growth in leaf number and plant height.

Decision Support System to Determine the Number of Production Tofu using the Fuzzy Sugeno Method (Case Study: Home Industries Tofu in Seyegan District)

The production process is a way to increase the usefulness of an item and service using existing production factors. The decision making process to determine the amount of production, especially in the business world contains risks. It needs to be supported by careful calculations so that the risk of loss can be avoided. Industri associations tofu "Waluyo" in Seyegan who still determines the amount of production manually. From the above problems a Decision Support System (DSS) was made using Sugeno's fuzzy method. In this DSS there are three variables modeled, namely, inventory variables, demand variables and production variables. The demand variable consists of two fuzzy sets, the inventory variable consists of two fuzzy sets and 4 rules which are the production rules used by Industry associations tofu "Waluyo" in determining the amount of production. Based on the acuracy test using the MAPE (Mean Absolute Percentage Error) method obtained a value of 5,3069% or below the error rate of 10%. So this system can be applied in determining the amount of tofu production in the tofu industri community in Seyegan.

Application for the diagnosis of pneumonia based on Pneumonia Severity Index (PSI) values

There has been considerable research that addresses the diagnosis of pneumonia based on symptoms experienced by the patient, some using artificial intelligent methods such as monoton and non monoton methods with mixed results, based on previous studies to develop and improve previous research deficiencies because they refer to the results is expected to be useful by experts, especially lung specialists in Indonesia, The reference used by Indonesian pulmonary specialist is the value of Pneumonia Severity Index (PSI) which is used to classify Pneumonia level, then the expected results are qualitative and unambiguous outputs therefore fuzzy logic Sugeno method is very suitable to overcome the problem. Fuzzy logic Sugeno has been successfully applied in pneumonia disease and matched with the Pneumonia Severity Index Score in the amount of 75% based on 4 data has been tested.

Application for the diagnosis of pneumonia based on Pneumonia Severity Index (PSI) values

There has been considerable research that addresses the diagnosis of pneumonia based on symptoms experienced by the patient, some using artificial intelligent methods such as monoton and non monoton methods with mixed results, based on previous studies to develop and improve previous research deficiencies because they refer to the results is expected to be useful by experts, especially lung specialists in Indonesia, The reference used by Indonesian pulmonary specialist is the value of Pneumonia Severity Index (PSI) which is used to classify Pneumonia level, then the expected results are qualitative and unambiguous outputs therefore fuzzy logic Sugeno method is very suitable to overcome the problem. Fuzzy logic Sugeno has been successfully applied in pneumonia disease and matched with the Pneumonia Severity Index Score in the amount of 75% based on 4 data has been tested.

Sistem Pakar Untuk Menentukan Status Pertumbuhan Pada Anak Menggunakan Inferensi Fuzzy (Sugeno)

The detection of child growth should be done as early and as accurately as possible, so that if there is a deviation of child growth can be known earlier and can be found a solution to the deviation. In the examination of children who performed in pharmacies depok sleman pengelolahan data inspection done manually so that data is not well recorded, it causes the data is lost and not clear. For that we need a system capable of data menguin so as to minimize the things that are not desirable. In this study, the researchers aimed to create an expert system that gives an idea of the growth in children with fuzzy logic motede which requires several variables, namely age, height, gender and weight which will be taken z-score weight and z- Score height. Based on the test result which has been done with 85 examination data of children, it can be concluded that the implementation of fuzzy sugeno method can be used as a determination of the status of the child's growth with total accuracy of 81.18%.

SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN DAGING KAMBING BERKUALITAS BAIK DENGAN METODE FUZZY SUGENO BERBASIS ANDROID

The decision support system used to determine good quality meat using Fuzzy Sugeno Method is made using Eclipse Application with some stages, those are: making the project then create the layout file and Java, after that design stage and coding are done once the project is ready to run. The results of the calculation on the Fuzzy Sugeno Method test show that there are five variables. First, the color of meat has three sets. It is categorized as bad 1 if it is in the range of 1-3, good in the range of 4-6, and bad 2 in the range of 7-8. The second variable is related to the fat color. It has two sets, those are bad if it is in the range of 4-9 and good in the range 1-3. The third variable is marbling which has two sets, those are bad if it is in the range of 1-9 and good in the range of 10-12. The fourth variable has three sets, those are bad 1 if it is in the range of 0-4, good in the range of 5,3-5,8, and bad 2 in the range of 5,8-8 . The third category of marbling has two sets, those are bad if it is in the range of 8 and good in the range of 8.

Implementasi Motode Fuzzy Sugeno pada Pengendalian Exhoust Fan Sebagai Pembersih dan Pengatur Udara

In a special room for smokers, Exhoust Fan is installed to clean the air and keep the room air fresh. Most Exhoust Fan works manually, not set automatically so that it has a constant rotational speed, so the function of the exhaust fan as an air purifier is not optimal. This study aims to apply a fuzzy method as well as to control the speed of the Exhoust Fan. Fuzzy logic will process the carbon monoxide gas which is detected by the MQ-3 sensor then the output decision maker is in the form of the Exhoust Fan rotation speed level which is exactly in accordance with the amount of carbon monoxide read by the MQ3 sensor. fuzzysugeno method can regulate the speed of putan fan based on the amount of carbon monoxide read by the MQ-3 sensor.

Air Condition Monitoring Using Waypoint Based UAV (Unmanned Aerial Vehicle)

The lack of attention to the harmful gas such as karbonmonoksida (CO) and particulate matter (PM10) dust can give impact to the environment and living creatures that inhale it. With increasing industry the greater the level of air pollution. Monitoring the air condition industry is generally done by placing the sensor at certain points so inefficient and throwing out a lot of costs. Therefore it needs a tool that can monitor the State of the air in places hard that cannot be reached by a human being implemented on the Unmanned Aerial Vehicle (UAV). Unmanned Aerial Vehicle (UAV) or quadcopter is one of the types of aircraft used to fly and can move automatically in accordance with the navigation system based on compass and positioning of Global Positioning System (GPS) waypoint called so quadcopter can run automatically without the remote. The use of karbonmonoksida gas sensor (MQ-7) and sensor dust particles (GP2Y1010AU0F) can help quadcopter to automatic air condition monitoring. Testing the results of monitoring carried out by comparing the measuring tool on Dinas Lingkungan Hidup Provinsi Jawa Timur as a reference. The data generated from gas sensor MQ-7 and the dust sensor GP2Y1010AU0F emailed using telemetry 915 MHz are then processed on the PC/Laptop using fuzzy sugeno method to determine the output of air quality. The test results showed the average error monitoring for gas karbonmonoksida 3.31% and 8.47% of the dust particles. And a waypoint error of 2-5 meters.

Aplikasi Pembelajaran Pengenalan Kriptografi Algoritma Affine Cipher Dan Vigenere Cipher Menggunakan Metode Computer Assisted Instruction

In a special room for smokers, Exhoust Fan is installed to clean the air and keep the room air fresh. Most Exhoust Fan works manually, not set automatically so that it has a constant rotational speed, so the function of the exhaust fan as an air purifier is not optimal. This study aims to apply a fuzzy method as well as to control the speed of the Exhoust Fan. Fuzzy logic will process the carbon monoxide gas which is detected by the MQ-3 sensor then the output decision maker is in the form of the Exhoust Fan rotation speed level which is exactly in accordance with the amount of carbon monoxide read by the MQ3 sensor. fuzzysugeno method can regulate the speed of putan fan based on the amount of carbon monoxide read by the MQ-3 sensor

The Accuracy Of Fuzzy Sugeno Method With Antropometry On Determination Natural Patient Status

Anthropometry is one of the processes that can be used to assess nutritional status. In general anthropometry is defined as body size in terms of nutrition, then anthropometry is reviewed from various age levels and nutritional levels. Nutritional status is a description of the balance between nutritional intake with the needs of the body individually. Fuzzy logic is a logic that has a vagueness between right and wrong or between 0 and 1. Sugeno method is used because in the process of calculating nutritional status so far is still done by anthropometry. Currently information technology is growing in any aspect, one of them in the aspect of calculation with data taken from anthropometry. In this case the calculation can use the Fuzzy Sugeno Method, in order to know the great accuracy obtained. Then the results obtained using fuzzy sugeno integrated with anthropometry has an accuracy of 81.48%.

IMPLEMENTASI LOGIKA FUZZY PADA PEMBUATAN KARAKTER MUSUH UNTUK GAME SINGLE FIGHTER BERPLATFORM ANDROID

This adventure game tells the story of an elephant who struggles to save his son from enemy prisoners. Elephants should be able to beat all three enemies, namely monkeys, wolves, and kingkong to be able to find his son. In the course of fighting the enemy will be no relief in the form of bombs and weapons are power ups in the form of apples to increase the number of lives player. The behavior of the enemy characters in this game are designed with the application of fuzzy logic Sugeno method. Each enemy by artificial intelligence has a health status (lives), ammo (the number of stones to attack the player) and distance (distance to the player during the attack). This game has a rule of implementation Sugeno Fuzzy Logic method for calculating the value of output behavior of the enemy in attacking player. The system design of the game is using the storyboard that contains a description of the story of each scene and any component material that will be used. Then the algorithm implementation using the Unity game development software. For game development, programming language used is C # of Unity. The results of this study are the Application Game "Single Fighter" that has succeeded in publishing in the Google Play Store are made of Unity game engine, side-scrolling genre game, and the android platform. From the application of fuzzy logic in this game also has gone well, where there are 41 types of enemy attackers%, 36% type of archer-distance and 87% of type giant enemy very aggressive in attacking player. Kata Kunci: Game, Logika Fuzzy, Sugeno, Unity, Android