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Journal : Journal of Telematics and Informatics

PROTOTYPE OF LPG GAS LEAKAGE DETECTOR SYSTEM BASED ON FUZZY LOGIC I Nyoman Gede Muliawan; Suryani Alifah; Arief Marwanto
Journal of Telematics and Informatics Vol 7, No 4: DECEMBER 2019
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v7i4.

Abstract

LPG is an alternative fuel that is used for daily needs, it is caused not only because of its cheap price but also its easy installation. However, the characteristic of LPG gas which is flammable and heavier than oxygen makes LPG gas leakage is hard to be detected. Based on that problem, a system that is able to detect gas leakage is needed and the system itself has to pass the sensitivity level test to be gas sensor. In this study there are 3 sensors; MQ-2, MQ-5 and MQ-6 gas sensors which are connected to the Arduino Uno microcontroller as it can be used as a feature to classify the condition of the gas by the implementation of the Fuzzy Mamdani method. The output of the system is displayed on an LCD, marked with a buzzer and a fan as gas decoder. The Arduino Uno that was programmed using fuzzy logic was used to control the level of leakage and to give a solution level through the rotation of fan and the buzzer sound. From the test results, the system could determine various conditions of gas leakage with 93% accuracy. From the results of its simulation and test, MQ-5 had higher sensitivity rather than MQ-2 which had the lowest sensitivity toward gas leakage.   Keyword: Leakage, LPG Gas, Fuzzy Logic,
FUZZY LOGIC FOR CONTROLLING SMOKE LEVEL ON SMART SMOKING ROOM fajar pujiyanto; arief marwanto; suryani alifah
Journal of Telematics and Informatics Vol 8, No 2 (2020)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i2.

Abstract

Public space is one of the facilities that need in public areas. One of the public space facilities is a special smoking room. The existing smoking room is still conventional, meaning that there is without controlling system to maintain the air condition in the rooms. This study discusses a smart system to control air levels in smoking rooms based on fuzzy logic. Fuzzy analysis is carried out with input parameters, namely temperature, air humidity, CO levels, smoke levels and output parameters are supply fans, exhaust fans, and air ionizers. Based on the results of smart smoking model test compared wit the Matlab analysis, the Mean Squared Error (MSE) value on the supply fan = 0.0640, MSE on the exhaust fan = 0.0502 and MSE on the ionizer = 0.0604. The results for the MSE value are closed to zero, its means smart smoking rooms models is works properly.
Boost Buck Converter Based on Fuzzy Logic for Voltage Stabilizer Mohammad Alfian Mudzakir; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 9, No 1 (2021)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v9i1.

Abstract

The wind turbine generator used for charging the battery produces an unstable electrical voltage, this is caused by the wind speed on the highway that varies. As a result of the instability of the electrical voltage, the energy storage charging process is not optimal. To deal with these problems, voltage stabilization is carried out using a boost buck converter to maximize the use of electrical energy generated from the wind turbine generator. This study discusses about a prototype voltage stabilizer for battery charging using a boost buck converter circuit. Implemented a comparison of two different techniques, including the application of fuzzy Mamdani logic control with PID using Ziegler-Nichols to minimize the value of settling time, percentage of overshoot, steady state error, and maximum voltage ripple. The results show that application of fuzzy Mamdani logic control is more effective than the application of PID using Ziegler-Nichols. In the study, it was found that the effectiveness of adding a charging circuit protection system and monitoring system did not exist in previous studies.
Development of SpO2 Monitoring System for Early Stroke Detection Brama Sakti Handoko; Arief Marwanto; Suryani Alifah
Journal of Telematics and Informatics Vol 9, No 1 (2021)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v9i1.

Abstract

Within this paper, we will discuss about a development process of SpO2 monitoring system that will be used for detecting a patient in the early stage of stroke. This system will measure and compare the SpO2 from both right and left arm at the same time. Stroke patients who experience weakness in the muscles of the one hand can experience different values with hands that do not experience muscle weakness. Stroke patients who are hospitalized with an intravenous infusion in one arm can cause differences in SpO2 values between the right and left fingers. Therefore this measurement method held from that phenomenon. From the monitoring system design, the system should have two sensors to measure the blood saturation, a microcontroller to process the data, and a monitor, buzzer, and micro sd card module to store and display the data. The research shows that the system has been developed and can be used to measure patient’s SpO2 from both hands at the same time, an indicator that will rings when there is an error in the measurement, and a lcd display to show the measurement data. This system also has a microSD card writer to store the measurement data from time to time.
Genetic Algorithm To Optimize The Shortest Route for Indomaret Goods Suppliers Irawan Pudja Hardjana; Imam Much Ibnu Subroto; Suryani Alifah
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Abstract

This research examines the application of genetic algorithms to optimize the distribution of goods from suppliers to Indomaret outlets in the East Tegal District area by modeling the problem as the Traveling Salesman Problem (TSP). A genetic algorithm is applied to determine the most efficient distribution route, which aims to reduce travel distance and operational costs. Distance data between location points is taken from Google Maps, and the optimization process involves forming an initial population, selection based on fitness function, crossover, and mutation. The research results show that the genetic algorithm can produce an optimal solution with the shortest distance of 9,700 meters, and the highest fitness value of 0.0001031. These findings provide an overview of the effectiveness of genetic algorithms in handling TSP in the context of goods distribution and have the potential for further development in distribution and logistics applications