scholarly journals Urinoir Analyzer Pintar Pendeteksi Kelainan Pada Fungsi Ginjal Dengan Analisis Kadar Ph Dan Warna Pada Urin

2020 ◽  
Vol 2 (1) ◽  
pp. 32-40
Author(s):  
M. Iqbal Febryansah ◽  
Anton Yudhana ◽  
Alfian Ma'arif
Keyword(s):  
Urine Sample ◽  
Urine Analysis ◽  
Ph Value ◽  
Color Sensor ◽  
Lcd Display ◽  
Accuracy Level ◽  
Arduino Uno ◽  
Input Variables

Perkembangan pemeriksaan penyakit kelainan ginjal melalui analisa urin saat ini dilakukan dalam dua proses pemeriksaan secara makroskopis dan mikroskopis. Pada dasarnya dibutuhkan sebuah alat yang mampu memproses dan menganalisis sebuah sampel urin secara otomatis agar tidak terjadinya kesalahan dalam melakukan pemeriksaan penyakit melalui sampel urin. Awalan perkembangan ini menggunakan sebuah Kontroler Arduino UNO dan dua buah variabel masukan yaitu sensor warna TCS3200 dan sensor PH meter SKU SEN0161. Dua buah variabel masukan sensor bekerja secara berdampingan dengan sensor TCS3200 memiliki hasil keluaran berupa nilai frekuensi RGB dan diproses kembali menjadi frekuensi keabuan. Lalu, sensor PH meter SKU SEN0161 menghasilkan sebuah nilai PH pada sampel urin. Hasil dari pemeriksaan tersebut ditampilkan pada sebuah penampil berupa LCD berukuran 16x2. Hasil pemeriksaan dari alat ini dibandingkan dengan hasil analisa pakar dari Balai Laboratorium Kesehatan Yogyakarta bagian Urology. dan mendapatkan tingkatan nilai akurasi 93% dengan keberhasilan data sebanyak 28 dari 30 data yang diambil. The development of examining kidney disorders through urine analysis is currently carried out in two processes of examination, macroscopic and microscopic. Basically, we need a tool that is able to process and analyze a urine sample automatically so that there are no errors in carrying out disease checks through the urine sample. The beginning of this development used an Arduino UNO controller and two input variables, namely the TCS3200 color sensor and the SKU SEN0161 PH meter sensor. Two sensor input variables working side by side with the TCS3200 sensor have an output in the form of RGB frequency values and are processed back into gray frequencies. Then, the PH meter SKU SEN0161 sensor generates a PH value in the urine sample. The results of these checks are displayed on a 16x2 LCD display. The examination results of this tool are compared with the results of the analysis of experts from the Yogyakarta Health Laboratory Center, Urology section. and get an accuracy level of 93% with the success of the data as much as 28 of the 30 data taken.

scholarly journals Performance of Cans Classification System for Different Conveyor Belt Speed using Naïve Bayes

2020 ◽  
Vol 5 (4) ◽  
pp. 111
Author(s):  
Yulia Resti ◽  
Firmansyah Burlian ◽  
Irsyadi Yani
Keyword(s):  
Classification System ◽  
Naive Bayes ◽  
Conveyor Belt ◽  
Original Model ◽  
Model Based ◽  
Accuracy Level ◽  
Conveyor Belts ◽  
Sorting Process ◽  
Input Variables

The classification system in the sorting process in the can recycling industry can be made based on digital images by exploring the basic color pixel values ​​of images such as R, G, and B as variable inputs. In real time, the classification of cans in the sorting process occurs when cans placed on a conveyor belt move at a certain speed. This paper discusses the performance of can classification systems using the Naïve Bayes method. This method can handle all types of variables, including when all variables are continuous. Two types of conveyor belts are designed to get different speeds, and all images of the cans are captured on both conveyor belts. Two models of Bayes naive are built on the basis of the different distribution assumptions; the original model (all Gaussian distributed) and the model based on the best distribution. Performance of the classification system is built by dividing data into the learning data and the testing data with a composition of 50:50 in which each data is designed into 50 groups with different percentages on each type of cans using sampling technique without replacement. The results obtained are, first, the speed of the conveyor belt when capturing an image affects the pixel values of red, green, and blue and ultimately affects the results of the classification of cans. Second, not all input variables are Gaussian distributed. The classification system was built using assumption the best distribution model for each input variable has the better average accuracy level than the model that assumes all input variables are Gaussian distributed, and the accuracy level of classification on the first speeds of conveyor belt with a gear ratio of 12:30 and a diameter of 35 mm has an accuracy that is better than the other speed, both on the original model and the model based on the best distribution. However, it is necessary to test more statistical distribution models to obtain significant results.

scholarly journals Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1226 ◽  
Author(s):  
Mohammed Falah Allawi ◽  
Faridah Binti Othman ◽  
Haitham Abdulmohsin Afan ◽  
Ali Najah Ahmed ◽  
Md. Shabbir Hossain ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Prediction Accuracy ◽  
Evaporation Rate ◽  
Climatic Conditions ◽  
Support Vector ◽  
Time Increment ◽  
Accuracy Level ◽  
Increment Rate ◽  
Input Variables ◽  
The Impact

The current study explored the impact of climatic conditions on predicting evaporation from a reservoir. Several models have been developed for evaporation prediction under different scenarios, with artificial intelligence (AI) methods being the most popular. However, the existing models rely on several climatic parameters as inputs to achieve an acceptable accuracy level, some of which have been unavailable in certain case studies. In addition, the existing AI-based models for evaporation prediction have paid less attention to the influence of the time increment rate on the prediction accuracy level. This study investigated the ability of the radial basis function neural network (RBF-NN) and support vector regression (SVR) methods to develop an evaporation rate prediction model for a tropical area at the Layang Reservoir, Johor River, Malaysia. Two scenarios for input architecture were explored in order to examine the effectiveness of different input variable patterns on the model prediction accuracy. For the first scenario, the input architecture considered only the historical evaporation rate time series, while the mean temperature and evaporation rate were used as input variables for the second scenario. For both scenarios, three time-increment series (daily, weekly, and monthly) were considered.

Research of Urine Analyzer Based on Color Sensor

2013 ◽  
Vol 739 ◽  
pp. 636-639 ◽  
Author(s):  
Quan Xing Liu ◽  
Hai Yan Chen ◽  
Dong Hua Lu
Keyword(s):  
Clinical Medicine ◽  
Urine Analysis ◽  
Control Unit ◽  
Test Strip ◽  
Network Interface ◽  
Color Test ◽  
Color Recognition ◽  
Color Sensor ◽  
Diagnosis Method ◽  
Working Principle

Urine analysis is used in clinical medicine diagnosis method. In this paper, we introduce the urine analyzer working principle. Using the color recognition sensor chip, we design a fast urine analyzer, which is mainly constituted by several parts: LCD, keyboard control, serial communication, network interface, print, ARM Control unit, sample of sensors, motion control, color capture, brightness control, etc. we studies the test strip tests, the specific gravity of testing theory, the test principle of the turbidity , the color test, the principle of color sensor and gives a the flow chart of color test subprogram.

scholarly journals Rancang Bangun Pintu Air Otomatis Menggunakan Water Level Float Switch Berbasis Mikrokontroler

2015 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Heki Apriyanto
Keyword(s):  
Water Level ◽  
Lcd Display ◽  
Arduino Uno

Penelitian ini bertujuan untuk membangun sistem pintu air otomatis membuka ataupun menutup pintu berdasarkan ketinggian air pada bendungan yang sebelumnya masih bersifat konvensional atau masih menggunakan tenaga manusia. Pintu air yang bersifat konvensional dinilai kurang efektif, mengingat curah hujan yang cukup tinggi disertai sulitnya memperkirakan ketinggian air yang selalu berubah-ubah, selain faktor tersebut ketinggian air pada suatu bendungan dipengaruhi juga oleh banjir kiriman didaerah lain. Metode penelitian yang digunakan dengan menggunakan pengumpulan data dan pengembangan perangkat yang terdiri dari perencanaan, analisis, perancangan dan implementasi, dimana dalam analisis menggunakan analisis SWOT untuk menilai layak atau tidaknya rancangan ini diterapkan. Hasil yang diharapkan adalah terwujudnya pintu air otomatis untuk meringankan manusia dalam menjalankan tugas serta membuat sistem yang berjalan dengan lebih efisien. Rancang bangun pintu air otomatis ini menggunakan mikrokontroler arduino uno dan nano sebagai alat pemroses, serta dilengkapi dengan sensor ultrasonik, water level float switch sensor, LCD display, motor servo. Water level float switch sensor yang berfungsi untuk memutar motor servo untuk mengangkat atau menurunkan pintu air sesuai batas ketinggian air. Hasil yang diharapkan adalah terciptanya sistem pintu air otomatis pada suatu bendungan dan dapat mengurangi kelalaian manusia dalam bertugas mengingat sulitnya memperkirakan ketinggian air yang selalu berubah-ubah dalam waktu tertentu.

scholarly journals Passcode based Circuit Interrupter

2020 ◽  
Vol 9 (4) ◽  
pp. 1405-1410
Keyword(s):  
Embedded Systems ◽  
Circuit Breaker ◽  
Cost Effective ◽  
Vital Role ◽  
The People ◽  
Lcd Display ◽  
The Matrix ◽  
Password Protection ◽  
Arduino Uno

In recent surveys, the electrical accidents to the linemen are increasing year by year due to the improper communication between the electrical staff and the substation. These faults occur during maintenance and there is no proper coordination between the people to people. This paper deals about this issue and the solution brought out to reduce electrical accidents due to these communication failures. In our day to life, the applications of embedded systems are used in everywhere and it is cost effective and better accuracy and precise of results will get. Currently, the research is going on the basis of embedded systems which includes microcontroller plays a vital role. Recent technology like Arduino based system is used by implementing the password protection in circuit breaker. Password is entered by the specific person and there is a provision of password changing system. Arduino UNO is used to control the signal in the relay module and the matrix keyboard is introduced to enter the input and LCD display is used to display the output and the ON/OFF switches provided as the loads through the Relay switch. By using this system, accidents can be prevented and valuable human lives can be saved.

scholarly journals Design of Lighting Control with RTC Timer and SMS Using Microcontroller

2017 ◽  
Vol 1 (1) ◽  
pp. 24
Author(s):  
IGAP Raka Agung ◽  
IGAK Diafari Djuni H
Keyword(s):  
Flash Memory ◽  
Light Illumination ◽  
Memory Research ◽  
Lighting Control ◽  
Turn On ◽  
Lighting Conditions ◽  
Lcd Display ◽  
Input Time ◽  
Arduino Uno ◽  
Switch Circuit

The purpose of this research is to make the switch to turn on and off lighting with time can be set based on certain conditions. Controller utilizes Arduino UNO microcontroller with input from DS1307 RTC IC, photodiode, IComSat V1.1 with the output of LCD display and lighting switch. In this study realized photodiode sensor to detect dark and light illumination, DS1307 RTC IC as a source of real-time equal to the time actually, IComSat v1.1 SIM900 GSM/GPRS Shield for Arduino to communicate with HP via SMS, switch circuit and drivers for turn on and off the load of lighting and Arduino UNO with programs that has been put into flash memory. Research results obtained are supporting components of the equipment control to turn on and off of lighting utilizing microcontroller can be realized and are functioning in accordance with the plan. Two lightings can already turn on and off based on the input time of the RTC (the default) and on off status can be checked by SMS. Both lightings can already be turn on and off by SMS messages sent from mobile HP and received by microconroller (IComSat) and feedback lighting conditions is already accepted by mobile HP corresponds to on and off lights condition.

Electrical Automation of Solar Cell-Based Arduino Uno With 16 × LCD Display

2018 ◽  
pp. 629-639
Author(s):  
Mohammad Irfan Fahmi ◽  
Hidayatullah ◽  
JhonsonEfendi Hutagalung ◽  
Sajadin Sembiring
Keyword(s):  
Solar Cell ◽  
Lcd Display ◽  
Arduino Uno

scholarly journals Prototype Sistem Pakan Ikan dan Pemantauan PH Berbasis Android dengan Metode PLC

2021 ◽  
Vol 5 (4) ◽  
pp. 729-738
Author(s):  
Maria Rosaria Oktaviani ◽  
Rizky Pradana
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Ph Value ◽  
Ph Monitoring ◽  
Requirements Analysis ◽  
Fish Feed ◽  
Feeding System ◽  
Android Application ◽  
Fish Feeding ◽  
Arduino Uno

Abstract During the pandemic of covid-19, betta fish cultivation is one of the income alternatives. It makes the cultivation of betta fish is increasing. However, not all cultivators can successfully cultivate betta fish. Water quality and fish feed must be maintained in order for betta fish can grow perfectly and attractive. The problems that often encountered to the betta fish cultivator is about feeding and monitoring pH levels, which is still manual. This is can failure in betta fish cultivation of the cultivators are not disciplined. To minimize it, then will be made “Prototype Fish Feeding System and PH Monitoring Based Android”. This research is used PLC method: (a) Requirements Analysis, (b) Design, and (c) Implementation. Divided into 2 functions: Automatic Betta Fish Feeding System Based Android Function using Node MCU ESP8266 and Monitoring PH Levels Function using Arduino Uno. The result from this research is the user can control the open and close feed on the servo through an android application, the system can provide a distance of the feed supply to a user in real-time by notifications, the LCD always display pH value, the buzzer provides a sound when the water quality has reached the acid or alkaline index.  

scholarly journals Transmitted light pH optode for small sample volumes

2017 ◽  
Vol 6 (2) ◽  
pp. 351-359 ◽  
Author(s):  
Christian Rogge ◽  
Steffen Zinn ◽  
Paolo Prosposito ◽  
Roberto Francini ◽  
Andreas H. Foitzik
Keyword(s):  
Color Change ◽  
Ph Value ◽  
Ph Monitoring ◽  
Low Cost ◽  
Small Sample ◽  
Phenol Red ◽  
Color Sensor ◽  
Ph Indicators ◽  
Hsv Color Model ◽  
Ph Range

Abstract. An innovative concept of a low-cost pH optode with working volumes of less than 150 µL is presented. The pH monitoring is based on the color changing effect of pH indicators. The optode includes an RGB color sensor patch TCS34725 from Adafruit, a controllable LED and reactor slides and is addressed by a self-written LabVIEW© software. Utilizing the hue value of the HSV color model, it is possible to analyze the color change of the indicator and estimate the pH value of the analyzed samples by exploiting sigmoidal fit models. Measurements carried out with phenol red and DMEM (Dulbecco's Modified Eagle's Medium) reported a standard error of calibration in the physiologic pH range (6.5–7.5) of ±0.04 pH units.

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