scholarly journals Automatic Drain System in Seawater Aquarium with Fuzzy Logic Method

2020 ◽  
Vol 4 (3) ◽  
pp. 753
Author(s):  
Nur Adin ◽  
Hilal Hudan Nuha
Keyword(s):  
Fuzzy Logic ◽  
Sea Water ◽  
Ph Sensor ◽  
Ornamental Fish ◽  
Measurement Results ◽  
Technological Developments ◽  
Fuzzy Logic Method ◽  
Seawater Quality ◽  
Logic Method

In seawater aquariums, seawater quality plays a very important role for the survival of the biota in it. There are measurement parameters that determine the quality of the seawater fit to be inhabited by seawater ornamental fish such as clown fish. Measurement parameters are such as temperature, salinity, dissolved oxygen content (DO), pH, ammonia, nitrite, and nitrate. Current technological developments make it possible to create a system that automatically conducts seawater drainage in a seawater aquarium so that the quality of the seawater remains in accordance with its measurement parameters and is fit for habitation by seawater ornamental fish such as clown fish. In this study the measurement parameters that become the reference are the temperature, pH (acidity) values obtained from the temperature sensor and the pH sensor. For normal temperatures, if the temperature is in the range of 24°C to 28°C, while for the ideal temperature is in the range of 25-27°C. For an appropriate pH in a saltwater aquarium is 7.5-8.5 with an ideal pH of 8.2. From the results of measurements made by these sensors, the value will be processed using the fuzzy logic method, then the condition of sea water quality in the aquarium can be seen from the smartphone, and when the measurement results show an inappropriate value, the system will automatically drain the water

scholarly journals Implementation of the sugeno fuzzy logic method in identifying the quality of coffee beans

2020 ◽  
Vol 725 ◽  
pp. 012134
Author(s):  
Tonni Limbong ◽  
Parulian Siagian ◽  
Tumiur Gultom ◽  
Janner Simarmata
Keyword(s):  
Fuzzy Logic ◽  
Coffee Beans ◽  
Fuzzy Logic Method ◽  
Logic Method

scholarly journals Hydrochemical Analysis and Fuzzy Logic Method for Evaluation of Groundwater Quality in the North Chengdu Plain, China

2019 ◽  
Vol 16 (3) ◽  
pp. 302 ◽  
Author(s):  
Adam Mohamed ◽  
Liu Dan ◽  
Song Kai ◽  
Mohamed Mohamed ◽  
Elsiddig Aldaw ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Groundwater Quality ◽  
Evaluation Method ◽  
Quality Standard ◽  
Chengdu Plain ◽  
The North ◽  
Drinking Purposes ◽  
Fuzzy Logic Method ◽  
Logic Method

Groundwater is a major water resource in the North Chengdu Plain, China. The research objective is to determine the quality and suitability of groundwater for drinking purposes within the vicinity of a shallow, unconsolidated aquifer of Quaternary age. In this study, a detailed investigation was conducted to define the hydrochemical characteristics that control the quality of groundwater, based on traditional methods. Considering the uncertainties linked with water resources and the environmental complications, the fuzzy logic method was used in the determination of groundwater quality for more precise findings that support decision-making. To achieve such an objective, sixteen water quality guidelines were used to determine groundwater quality status in six selected wells. The results showed that the groundwater is neutral, very hard, and fresh in nature. Dominating cations and anions are in the order of Ca 2 + > Na + > Mg 2 + > K + and HCO 3 - > SO 4 2 - > Cl - . The Piper trilinear diagram demonstrates that the hydrochemical facies of groundwater are mostly of Ca-HCO 3 type. Statistical analysis denotes a positive correlation between most of the chemical parameters. The study took the results of the fuzzy logic evaluation method into consideration, to classify the samples into five groups according to the Chinese groundwater quality standard (GB/T 14848-93) for their suitability for domestic use. The results demonstrated that the quality of the groundwater samples is within grade II and III, and is suitable for drinking purposes. The comprehensive evaluation of groundwater quality is critical to aid sensitive policy decisions, and the proposed approach can guarantee reliable findings to that effect. The results of this study would also be helpful to future researches related to groundwater quality assessment.

SISTEM PENDETEKSI KUALITAS AIR DI SEKITAR PESISIR PANTAI TONDO MENGGUNAKAN METODE FUZZY LOGIC

Foristek ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohammad Idham Sesengi ◽  
Jumiyatun Jumiyatun ◽  
Yusnaini Arifin ◽  
Sari Dewi
Keyword(s):  
Water Quality ◽  
Fuzzy Logic ◽  
Drinking Water ◽  
Temperature Sensor ◽  
Ph Sensor ◽  
Quality System ◽  
Quality Of Water ◽  
Fuzzy Logic Method ◽  
Value Of Water

The disaster that hit Palu City recently caused changes in the quality of water consumed by the community. To find out whether it is feasible or not, a method is needed to detect a water quality system that is easy to apply at an economical price so that people can know for sure the quality of the water they use for their daily needs. Therefore, a tool is designed to determine the quality of water, which samples are taken around the coast of Tondo by using the Fuzzy Logic method. This design was built using the Arduino module by combining four sensors, namely a pH sensor, a TDS sensor, a Turbidity sensor, and a temperature sensor. Water quality in this study was divided into three groups, namely drinking water (UM), water for washing (UC), and water not suitable for use (TL). While the water quality benchmarks are known from the incorporation of existing sensor readings, so that the value of water quality measured in the study is in the unsuitable category with a fuzzy value of 100 in sample 1, and to use washing with a fuzzy value of 45.68 in sample 2, and 26.4 in sample 3.

scholarly journals Egg Quality Detection System Using Fuzzy Logic Method

2019 ◽  
pp. 207-216
Author(s):  
Ikbar Mahesa ◽  
Aji Gautama Putrada ◽  
Maman Abdurohman
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Data Storage ◽  
Egg Quality ◽  
Detection System ◽  
Optimization Method ◽  
Light Sensor ◽  
Fuzzy Logic Method ◽  
Logic Method

Determining the quality of eggs in general is used by placing eggs on a flashlight. The detection system is very necessary to determine good egg quality or rotten eggs, so that the conditions of the eggs can be known by the chicken farm company and then will be sold to the community. This egg detecting system utilizes several sensor devices that are combined. The sensor used to detect the quality of eggs is a light sensor and a heavy sensor by connected with a microcontroller. So that there is no ambiguity towards the decision making of good egg or rotten eggs, then processing the data is obtained from these sensors using Fuzzy Logic and Firebase methods in real time as data storage media, and actuators will distribute or separate good eggs or the rotten eggs one. With the development of technology now, we can use the Internet of Things (IoT) technology, one of the systems check the quality of eggs which are good or not good. This system is built using a microcontroller to coordinate the running of the system using the Fuzzy Logic Method that applies inside. Final information is obtained on the form of egg quality in real time. The test results were carried out using the Fuzzy Logic method and obtained 95% results from 20 eggs and had 1 wrong egg. When using system hardware without using the fuzzy logic method on the microcontroller that using only a light sensor and a heavy sensor it produces a result of 75% from 20 eggs and had 5 wrong eggs. Using the egg detection optimization method can be increased up to 20%.

scholarly journals Assessment The Method of Fuzzy Logic to Determine The Quality of Service Expedition in Jabodetabek Area

2016 ◽  
Vol 3 (2) ◽  
pp. 109-118
Author(s):  
Agus Pamuji
Keyword(s):  
Fuzzy Logic ◽  
Quality Of Service ◽  
Database Systems ◽  
Specific Category ◽  
Fuzzy Logic Method ◽  
Customer Services ◽  
Selection Of ◽  
Logic Method

Search application services that was designed, could be the based on the difficulty to find out, and to select expedition services which have provided. In these case, when someone who wants to send the packages to a particular destination. Each shipper will see the name of courier services, the speed the god arrive at the destination, prices, and customer services. This application is designed with fuzzy logic method that can be based on the selection of criteria, and specific category. The using and fuzzy logic method implementation can to help and ensure the selection of expedition service that based in variable or criteria are price, speed, location, and services. The result of this research will to display of application that was supported with database systems such as expedition services information and location, and then table of price is available.

scholarly journals Sistem Pendukung Keputusan Pengadaan Perangkat Teknologi Informasi Menggunakan Metode Logic Fuzzy Pada PT. Kojo Balairaja

2019 ◽  
Vol 8 (1) ◽  
pp. 1-10
Author(s):  
Rajab Rajab ◽  
Defiariany Defiariany ◽  
Feri Adiatma
Keyword(s):  
Information Technology ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Eligibility Criteria ◽  
Fuzzy Logic Method ◽  
The Cost ◽  
Logic Method

This study discusses decision support system of the procurement information technology devices using fuzzy logic method at PT. Kojo Balairaja. The research objectives are (1) to determine the eligibility criteria for the procurement of information technology devices that are appropriate to the needs of the company, (2) to determine costs according to the company's budget, (3) to determine the quality of devices held, and (4) to determine the update of the devices held. One of the difficullties that found is  the manager’s in making decsion. An  example manager’s decision in considering  some aspects such as costs and needs but they do not consider eligibility criteria, the quality and updating of the equipment needed by the company. The method used  the Fuzzy Logic method karena metode ini dapat memetakan perangkat yang dibutuhkan. The results of this study, namely the system built can help managers at PT. Kojo Balairaja in making decisions to procure information technology devices in accordance with the eligibility criteria, namely managers can approve, consider and reject the device request, the quality and updating of the equipment needed and can predict the cost of good quality but the price is moderate and affordable by the company.

scholarly journals The Design of Directions and Shot Sound Distance Using Fuzzy Logic Method Based on Raspberry Pi

2021 ◽  
Vol 2 (Oktober) ◽  
pp. 32-41
Author(s):  
Rian Arbianto Prayogo ◽  
Dekki Widiatmoko ◽  
Budi Harijanto
Keyword(s):  
Fuzzy Logic ◽  
Detection System ◽  
Raspberry Pi ◽  
Rule Base ◽  
Inference System ◽  
Input Quantity ◽  
Technological Developments ◽  
Fuzzy Logic Method ◽  
The Republic ◽  
Logic Method

Abstract - The rise of a shooting incident that occurred in the border areas of the Republic of Indonesia is a big loss for the state in terms of personnel. Technological developments can be used as an alternative in the military world to help the role of soldiers so as to reduce personnel losses. This study aims to create a system for detecting the direction and distance of gunshots. This study uses an experimental method. This gunshot detection system also applies the Fuzzy Logic Method which is applied to the Raspberry Pi 4 and Microphone Max 4466 which is expected to detect the direction and distance of gunshots. This Fuzzy Logic method is used as an inference system or decision maker according to the input given. Fuzzy Logic broadly consists of fuzzification, rule base, and defuzzification. Fuzzification is useful for input normalization, so that the input quantity is in accordance with the fuzzy magnitude, namely the value in the range 0 to 1. After that, enter the rule base where in this step, the input set is compared with the rules or provisions of sound decibels so that it can be classified whether the distance and the direction of the captured sound is in the data range that has been programmed, in this step the signal is analyzed how much decibel sound SS2-V1 is by the MAX 4466 sensor. The conclusion is done by defuzzification, so the final result is that the closest distance to a gunshot at 1 meter is 250 Decibels.

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