scholarly journals PENERAPAN FUZZY TSUKAMOTO DALAM MENENTUKAN JUMLAH PRODUKSI SABUN DI PT. JAMPALAN BARU BERDASARKAN JUMLAH PERMINTAAN DAN DATA PERSEDIAAN

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ria Rahmadita Surbakti ◽  
Marlina Setia Sinaga
Keyword(s):  
Fuzzy Logic ◽  
Optimal Number ◽  
Market Demand ◽  
Private Company ◽  
Soap Production ◽  
Input Variables

ABSTRAKPenelitian ini dilakukan di PT. Jampalan Baru Asahan yang merupakan perusahaan swasta yang bergerak dibidang produksi sabun.Permintaan pasar terhadap sabun tidak menentu setiap bulannya, sehingga persediaan sabun tidak dapat dipastikan yang berakibat produksi sabun yang dilakukan oleh PT. Jampalan Baru Asahan tidak dapat ditentukan secara pasti.Penelitian ini bertujuan untuk mengoptimalkan produksi sabun setiap bulannya dengan mengaplikasikan metode Tsukamoto logika fuzzy agar tidak mengalami kelebihan atau kekurangan persediaan. Jumlah optimal diperoleh dengan menghitung nilai output crisp dengan menggunakan defuzzifikasi metode rata-rata terpusat. Dari hasil penelitian yang telah dilakukan, dengan memasukkan variabel input pada bulan Desember 2016, yaitu jumlah permintaan sebesar 163800 pack dan jumlah persediaan sebesar 19500 pack menghasilkan output jumlah produksi sebesar 151043 pack.Kata kunci : Logika Fuzzy, Metode Tsukamoto, Optimal, defuzzifikasi ABSTRACTThis research was conducted at PT. Asahan Asah's new journey is a private company engaged in soap production. The market demand for soap is erratic every month, so the supply of soap can not be ascertained which results in soap production made by PT. Jampalan Baru Asahan's can not be determined with certainty. This study aims to optimize the production of soap every month by applying the method of Tsukamoto logic fuzzy in order not to experience the advantages or lack of perse. The optimal number is obtained by calculating the output value of crisp using the centralized mean method defuzzification. From the results of research that has been done, by entering input variables in December 2016, namely the number of requests amounted to 163800 pack and the amount of inventory of 19500 pack produced output production amount of 151043 pack.Keywords: Fuzzy Logic, Tsukamoto Method, Optimal, defuzzification

scholarly journals Vessel Multi-Parametric Collision Avoidance Decision Model: Fuzzy Approach

2021 ◽  
Vol 9 (1) ◽  
pp. 49
Author(s):  
Tanja Brcko ◽  
Andrej Androjna ◽  
Jure Srše ◽  
Renata Boć
Keyword(s):  
Fuzzy Logic ◽  
Collision Avoidance ◽  
Decision Model ◽  
Fuzzy Inference ◽  
Weather Conditions ◽  
Target Vessel ◽  
Planning Tool ◽  
Inference System ◽  
International Regulations ◽  
Input Variables

The application of fuzzy logic is an effective approach to a variety of circumstances, including solutions to maritime anti-collision problems. The article presents an upgrade of the radar navigation system, in particular, its collision avoidance planning tool, using a decision model that combines dynamic parameters into one decision—the collision avoidance course. In this paper, a multi-parametric decision model based on fuzzy logic is proposed. The model calculates course alteration in a collision avoidance situation. First, the model collects input data of the target vessel and assesses the collision risk. Using time delay, four parameters are calculated for further processing as input variables for a fuzzy inference system. Then, the fuzzy logic method is used to calculate the course alteration, which considers the vessel’s safety domain and International Regulations for Preventing Collisions at Sea (COLREGs). The special feature of the decision model is its tuning with the results of the database of correct solutions obtained with the manual radar plotting method. The validation was carried out with six selected cases simulating encounters with the target vessel in the open sea from different angles and at any visibility. The results of the case studies have shown that the decision model computes well in situations where the own vessel is in a give-way position. In addition, the model provides good results in situations when the target vessel violates COLREG rules. The collision avoidance planning tool can be automated and serve as a basis for further implementation of a model that considers the manoeuvrability of the vessels, weather conditions, and multi-vessel encounter situations.

Prediction of State of Charge (SOC) of Battery Electric Vehicle

2021 ◽  
Vol 104 ◽  
pp. 65-71
Author(s):  
Illa Rizianiza ◽  
Dian Mart Shoodiqin
Keyword(s):  
Fuzzy Logic ◽  
Maximum Energy ◽  
State Of Charge ◽  
Battery Management ◽  
Charge Condition ◽  
Available Energy ◽  
Energy Needs ◽  
Fuzzy Logic Method ◽  
Input Variables ◽  
Charging And Discharging Processes

Batteries have an important thing in development of energy needs. A good performance battery, will support the device it supports. The energy that can save a battery is limited, so the battery will increase its charge and discharge cycles. Incorrect charging and discharging processes can cause battery performance to decrease. Therefore battery management is needed so that the battery can reach the maximum. One aspect of battery management is setting the state which is the ratio of available energy capacitance to maximum energy capacity. One method for estimating load states is the fuzzy logic method, namely by assessing the input and output systems of prediction. Predictor of State of Charge use Mamdani Fuzzy Logic that have temperature and voltage as input variables and State of Charge as output variable. A result of prediction State of Charge battery is represented by the number of Root Mean Square Error. Battery in charge condition has 2.7 for RMSE and level of accuracy 81.5%. Whereas Battery in discharge condition has RMSE 1.5 and level of accuracy 84.7%.

scholarly journals Penerapan metode fuzzy sugeno untuk prediksi persediaan bahan baku

2019 ◽  
Vol 9 (2) ◽  
pp. 12-20
Author(s):  
Julio Warmansyah ◽  
Dida Hilpiah
Keyword(s):  
Fuzzy Logic ◽  
Raw Materials ◽  
Mean Absolute Percentage Error ◽  
Raw Material ◽  
Percentage Error ◽  
Human Power ◽  
Absolute Percentage Error ◽  
Input Variables ◽  
A Company

 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%. 

scholarly journals Pemetaan Tingkat Kerawanan Longsor Berdasarkan Curah Hujan dan Geologi Menggunakan Metode Fuzzy Logic Di Kecamatan Leupung Kabupaten Aceh Besar

2018 ◽  
Vol 3 (2) ◽  
pp. 434-441
Author(s):  
Rasyid Alkhoir Lubis ◽  
Muhammad Rusdi ◽  
Hairul Basri
Keyword(s):  
Fuzzy Logic ◽  
Data Analysis ◽  
Analysis Data ◽  
Fuzzy Logic Method ◽  
Input Variables ◽  
Logic Method

Abstrak. Penelitian ini bertujuan untuk mengetahui tingkat kerawanan longsor di Kecamatan Leupung Kabupaten Aceh Besar. Penelitian ini dilakukan menggunakan SIG dengan Metode Fuzzy Logic. Curah Hujan dan Geologi sebagai variabel input dan tingkat kerawanan longsor sebagai variabel output metode fuzzy logic. Beberapa tahapan yang dilakukan dalam metode ini antara lain : fuzzyfication, inferensi dan defuzzyfication. Secara umum, tahapan penelitian persiapan, pra analisis data, analisis data dan output.. Penelitian ini dilakukan karena Kecamatan Leupung berbukit, berlereng, tersusun dari material sedimen termasuk batuan pegunungan dan memiliki curah hujan yang lebih tinggi dibandingkan dengan kecamatan lainnya di lingkup Kabupaten Aceh Besar.Hasil penelitian memperoleh hasil bahwa Kecamatan Leupung didominasi dengan tingkat kerawanan longsor kategori rendah dan sedang. Tingkat kerawanan longsor rendah seluas 16.486,01 ha (97,97 %) dan tingkat kerawanan longsor sedang seluas 342,37 ha (2,03 %). Kedua faktor yaitu curah hujan dan geologi saling mempengaruhi sehingga membedakan nilai defuzzyfication serta kelas kerawanan longsor. Abstract. This study aims to determine the level of landslide vulnerability in Leupung District, Aceh Besar District. This research was conducted using GIS with Fuzzy Logic Method. Rainfall and Geology as input variables and landslide vulnerability as output variables fuzzy logic method. Some of the steps performed in this method include: fuzzyfication, inference and defuzzyfication. In general, the stages of preparatory research, pre-data analysis, data analysis and output. This research was conducted because the hilly Leupung District, the slopes, composed of sedimentary materials including mountainous rocks and had higher rainfall compared to other sub-districts in Aceh Besar .The result of this research is that Leupung District is dominated by low and medium category avalanche vulnerability. Low landslide vulnerability of 16,486.01 ha (97.97%) and moderate landslide vulnerability of 342.37 ha (2.03%). Both factors are rainfall and geology influence each other so as to distinguish the defuzzyfication value and the class of landslide vulnerability.

Self Tuning Based Adaptive Fuzzy Logic Controller in Lab view for Sterilizing Equipments

2014 ◽  
Vol 3 (2) ◽  
pp. 84
Author(s):  
P. J. Ragu
Keyword(s):  
Fuzzy Logic ◽  
Temperature Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
Lab View ◽  
Adaptive Fuzzy Logic ◽  
Self Tuning ◽  
Input Variables ◽  
Temperature Errors

In this paper, temperature monitoring of sterilizing equipment system was established with the help of fuzzy and self tuning Adaptive fuzzy logic controller designed in Lab VIEW software. It combines the advantages of both fuzzy logic and self tuning Adaptive fuzzy logic controller. The implementation attempts to rectify the errors between the measured value and the set point which helps to achieve efficient temperature control. The Adaptive fuzzy controller uses defined rules to control the system based on the current values of input variables and temperature errors. The simulation results presented in order to evaluate the proposed method. The result shows that self tuning  Adaptive fuzzy logic controller was tolerant to disturbance and the temperature control is most accurate.

scholarly journals Investigation of Critical Gap for Pedestrian Crossing Using Fuzzy Logic System

2020 ◽  
Vol 10 (10) ◽  
pp. 3653 ◽  
Author(s):  
Wafaa Shoukry Saleh ◽  
Maha M A Lashin
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic System ◽  
Transport Infrastructure ◽  
Membership Functions ◽  
Triangular Form ◽  
Critical Gap ◽  
Infrastructure Design ◽  
Input Variables ◽  
Pedestrian Crossing ◽  
Logic System

This paper assesses pedestrian crossing behavior and critical gaps at a two-way midblock crossing location. A critical gap is the shortest gap that a pedestrian accepts when crossing a road. A dataset was collected in 2017 in Edinburgh (UK). The analysis was performed using the fuzzy logic system. The adopted membership function of the fuzzy logic system is of a triangular form since it has a simple and convenient structure. The input variables that are used in the analysis are the number and length of rejected gaps and length of accepted gaps at the crossing location. The output variables are the critical gaps. The results show that assessing critical gap estimation of pedestrians crossing using fuzzy logic is achievable and produces reasonable values that are comparable to values that are reported in the literature. This outcome improves the understanding of pedestrian crossing behavior and could therefore have implications for transport infrastructure design. Further analysis using additional parameters including waiting time and demographic characteristics and alternative forms for membership functions are strongly encouraged.

Long lead forecasting of spring peak runoff using Mamdani-type fuzzy logic systems at Hay River, NWT

2015 ◽  
Vol 42 (9) ◽  
pp. 665-674 ◽  
Author(s):  
L. Zhao ◽  
F.E. Hicks ◽  
A. Robinson Fayek
Keyword(s):  
Sensitivity Analysis ◽  
Fuzzy Logic ◽  
Historical Data ◽  
System Development ◽  
System Component ◽  
Fuzzy Logic Systems ◽  
Lead System ◽  
Input Variables ◽  
Peak Runoff ◽  
Error Index

In northern riverside communities, breakup ice jam flooding is an annual threat to properties and human lives. In this study, the peak snowmelt runoff during breakup was assessed as an indicator of breakup flood severity. Due to the sparse network of hydrometeorolocial data in remote northern regions, a Mamdani-type fuzzy logic system (FLS) was developed and tested with the limited historical data. Three input variables were defined from the precipitation, air temperature and daily water level data. All of these variables are known ∼3 to 4 weeks before breakup enabling a long lead-time forecast. The process of system development is demonstrated by a case study of the Town of Hay River, NWT Canada. A series of experiments were designed to select the best system configuration, which also provided a way to conduct a sensitivity analysis for different choices in each system component. It was found that the system shows very good performance on the historical data using the qualitative error index. The results of the sensitivity analysis suggest the system performance is dependent on the choices of fuzzy logic inference operators and defuzzification method. As a long lead system, the short-term meteorological factors that would affect the system output were analyzed and the possible error range was assessed. Preliminary model validation, based on three years of testing, shows promising performance.

scholarly journals Competitive Entry In Ontarios Deregulated Power Generation Industry

2012 ◽  
Vol 10 (2) ◽  
pp. 111
Author(s):  
Xiaoting Wang ◽  
Jun Yang
Keyword(s):  
Electricity Market ◽  
Optimal Number ◽  
Social Optimum ◽  
Market Demand ◽  
Equilibrium Outcome ◽  
Efficient Outcome ◽  
The Social ◽  
The Relationship ◽  
Equilibrium Number ◽  
Number Of Firms

In this paper we investigate the issues involved in the deregulation of an electricity market. The paper focuses on efficiency considerations, comparing the gap between the socially efficient outcome and that achievable by a market. We model this problem with two-sided uncertainty: the uncertain market demand and the uncertain cost of production. In each case, we find the social optimum and the equilibrium outcome of the deregulated market. Conditions when deregulated industry cannot generate the socially optimal number of firms are identified. The relationship between market demand, the degree of risk-aversion of private firms, and the equilibrium number of firms is investigated.

scholarly journals PENERAPAN LOGIKA FUZZY DALAM OPTIMASI PRODUKSI BARANG MENGGUNAKAN METODE MAMDANI

2017 ◽  
Vol 5 (1) ◽  
pp. 14
Author(s):  
Wahyu Toto Priyo
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Set ◽  
Alternative Solution ◽  
Output Variable ◽  
Centroid Method ◽  
Production Problem ◽  
Input Variables ◽  
Production Problems ◽  
Maximum Method

Developement and revolution of the era are always followed by the development of technology and sciences. Along with the development of the era, it will be found various problems in various aspects of life, including in the field of industry. Often companies experience obstacles in meeting the number of requests from consumers, or even the amount of inventory of many goods. From these problems required an appropriate solution for production problems can be resolved. In this research, we will apply Fuzzy Logic as one of alternative solution of goods production problem, that is by using Mamdani method, with the quantity of demand and inventory of goods as input variable and quantity of goods produced as output variable. Then followed by 4 stages, namely: (a) Formation of fuzzy set by fuzzification process, (b) Application of implication function, (c) Composition of rules with maximum method, (d) Process defuzzification with centroid method that will result outout amount of goods which must be produced by the company. From the results of the analysis that has been done, by entering the input variables the number of requests amounted to 54,900 units and the amount of inventory amounted to 4060 units produce output production amounted to 46,600 units.Keywords: Fuzzy Logic, Mamdani methode, goods production

scholarly journals Application of fuzzy logic at the Port of Cotonou (Benin / West Africa) in analysis of port logistics viability

2021 ◽  
Vol 9 (2) ◽  
pp. 209-225
Author(s):  
Alphonse Hounsounou ◽  
Prof. Dr. Hito Braga de Moraes ◽  
Prof. Dr. Maamar El Robrini
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
West Africa ◽  
Membership Functions ◽  
Medium Term ◽  
Matlab Toolbox ◽  
Access Channel ◽  
Port Logistics ◽  
Input Variables

The Autonomous Port of Cotonou (PAC) located in West Africa has an access channel 15m deep, 11 berths, and an internal draft of 15m (maximum), and is connected with a road to serve continental countries such as Burkina-Faso, Chad , Mali, Niger and Nigeria. The PAC presents low productivity (average of 10,000,000 tons / year, 24.40% of the movement from the port of Lagos / Nigeria) in West Africa. This article aims to evaluate the application of fuzzy logic in the Autonomous Port of Cotonou (Benin) in the analysis of logistic viability. The methodology followed the fuzzy logic that is a support method for logistic decision-making, based on fuzzy rules (SBRF). It was used characteristic of Mamdani Matlab Toolbox with three membership functions (triangular, trapezoidal and Gaussian) to model the quality variables of infrastructures and services, equipment productivity, seeking a long-term way out of logistic viability. The result of logistic viability was medium term, equivalent to 13 years / 25 years; as far as the outcome of the future PAC is concerned. The logistic viability of the PAC depends on its input variables. The projection of this application was long term, at least 19 years / 25 years when the infrastructures are of good quality and the equipment is more modern and consistent with the current realities to satisfy the expectations of the customers.  

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