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Sistem Pengontrolan Dan Keamanan Rumah Pintar (Smart Home) Berbasis Android Dodon Yendri; Rahmi Eka Putri
JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 01 (2018): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.545 KB) | DOI: 10.25077/jitce.2.01.1-6.2018

Abstract

The tightness of one's activities sometimes makes people forget about security and comfort issues such as forgetting to lock the door, forgetting to turn off the lights or other electronic equipment so that it makes the house unsafe and also have an impact on energy waste. This research objective was to design a home security control system using Raspberry Pi connected to several electronic equipment, wifi, and internet communication networks. Remote control and monitoring using a smartphone. The test was carried out on ACS712 current sensor, PIR (Passive Infra Red) sensor, DHT22 temperature and humidity sensor, two lights and one webcam and buzzer. The test results show that the system that is designed can display information on current values, temperature, and humidity and also can control the condition of the house by turning on and off two lights with a 100% success rate. The PIR sensor can detect the movement of people at a maximum distance of 5.5 meters and the webcam manages to capture objects when motion is detected, the notification will automatically be sent to the owner's smartphone and the buzzer will be activated immediately.
Identifikasi Halitosis Berdasarkan Tingkatan Berbasis Sensor Gas Menggunakan Metode Learning Vector Quantization Dodon Yendri; Anisa Irviana; Andrizal Andrizal
JITCE (Journal of Information Technology and Computer Engineering) Vol 1 No 01 (2017): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1227.274 KB) | DOI: 10.25077/jitce.1.01.35-47.2017

Abstract

Diabetes mellitus and gastric infections can be detected through bad breath bad breath (halitosis). Halitosis is a condition where the smell of bad breath occurs when a person exhales (usually smells when talking). This study aims to create an oral health identification and classification system (halitosis). TGS-2602 gas sensor will detect gas levels in the mouth of the patient, and send data in the form of an analog signal to the ATmega 328 microcontroller. By programming the data read on the Raspberry Pi, the data from the microcontroller is stored in a file and then the data is processed using the Fast Fourier Transform method. (FFT) so that the desired data pattern is obtained. The data pattern of the Fast Fourier Transform (FFT) output will be used as input data on the Learning Vector Quantization (LVQ) neural network method. System testing is done to people with halitosis and not halitosis bad breath. The results showed that the percentage success rate of sensor responses to mild halitosis samples was 25%, moderate halitosis samples were 50%, acute Halitosis samples were 50% and non-halitosis samples were 100%.
Rancang Bangun Alat Ukur Tinggi dan Berat Badan Ideal Berdasarkan Metode Brocha Berbasis Mikrokontroler Luthfan Maulana; Dodon Yendri
JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 02 (2018): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (770.049 KB) | DOI: 10.25077/jitce.2.02.76-84.2018

Abstract

Body’s height and mass measurement usually are measured with a different instrument without a knowledge to know the ideal body mass index (BMI). Ideal BMI is related to our health condition especially for people who do exercise. Usually people just guess the BMI from a visual condition that sometime give a false measurement. This paper proposes a device that can measured ideal BMI based on Brocha method based on microcontroller. The body’s height will be measured using ultrasonic sensor while the body’s mass will be measured with a load cell. The results show that the proposed device can predict the BMI well. The height measurement has a successful rate of 80%.
Two Sequential Authentication Method on Locker Security System Using Open-Sourced Smartphone Dodon Yendri
JITCE (Journal of Information Technology and Computer Engineering) Vol 3 No 02 (2019): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (927.544 KB) | DOI: 10.25077/jitce.3.02.65-69.2019

Abstract

Lockers are commonly used to store luggages temporarly. For security purposes, lockers are equipped with conventional lock keys to keep it safe. In order to enhance the security aspects, there are several options by optimalizing current emerging technology that is two-factors authentication. This method is commencing by inputting some PIN (Personal Identification Numbers) code then it would trigger confirmation access by smartphone to unlock the lockers. By having this security schemes, any unauthorized users could not allowed any attempt to unseal the locker. More over, the owner could immediately recognize if there was any suspicious access. The result of this research shows that the system could unlock the locker by inputting the correct PIN and verified access by achieving the successful percentage of 100%. The averages response time is around 6.647 seconds, while any attempt to unlock the locker by inputting the incorrect access gain 100% percentages
Monitoring Sistem Ketersediaan dan Pengontrolan Pengisisan Air Secara Otomatis Pada Gedung Perkantoran Berbasis Mikrokontroler Dodon Yendri; Desta Yolanda; Rezy Pratiwi
CHIPSET Vol. 1 No. 01 (2020): Journal on Computer Hardware, Signal Processing Embedded System and Networking
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.983 KB) | DOI: 10.25077/chipset.1.01.10-16.2020

Abstract

Employees who work in offices absolutely need water, for example to wash hands, to defecate, or other household needs. Water availability must be a concern of managers. But in fact, many officers pay less attention for this. They let a lot of water flows from the tank or reservoir that makes important water resources are wasted. This study aims to regulate the usage of water in office buildings so that water needs for employees are always met. The system was built by three tanks, one tank as the main water source called the central tank and two tanks as a reservoir of water that will be consumed by employees called tank1 and tank2. To measure the water level in the tank, it will use an ultrasonic sensor. If the water in the central tank has reached the minimum capacity length from the surface of the water to the sensor (≥ 20 cm), the tank manager will receives an SMS that indicates the water in the central tank is not available and needs to be refill. Tank 1 and tank 2 are filled automatically by activating the pump and opening the solenoid valve when the water is less than the maximum limit set (> 5 cm). The results showed that the system was able to send an SMS to the tank manager when the water level had reached the minimum limit with an 7.39 seconds of average delivery time. Tank 1 and tank 2 can be returned off when the water level reaches the 5 cm limit. The average success rate of filling water in tank1 was 98.46% and tank2 was 97.32%.
Rancang Bangun Sistem Oil Change Reminder Sepeda Motor Berbasis Mikrokontroler Menggunakan Android Rakan El Fawwaz; Dodon Yendri
CHIPSET Vol. 1 No. 02 (2020): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.233 KB) | DOI: 10.25077/chipset.1.02.32-36.2020

Abstract

This study aims to create a tool that can monitor motorcycle distance through a mobile application and provide an oil change reminder based on distance to the user through the telegram application. This system consists of three main components, namely embedded systems, mobile applications, and Realtime Databases. The embedded system consists of a Wemos D1 microcontroller and Hall effect Sensor. based on tests conducted the system can read motorcycle distances and save distance data into a Realtime Database and provide reminders to users, this system relies on an internet network, where the error rate of this system that is tested on unstable internet locations has the highest error rate of 79, 9% and lowest 59.3%, then the second condition was tested in locations with stable internet networks that had the highest error rate of 1% and the lowest 0%.
Sistem Monitoring Kondisi dan Posisi Pengemudi Berbasis Internet of things Reyana Yunindya Sabilla; Dodon Yendri
CHIPSET Vol. 2 No. 01 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.7 KB) | DOI: 10.25077/chipset.2.01.1-10.2021

Abstract

The high rate of accidents caused by human error is still a problem faced inIndonesia. Road accidents caused by fatigue and drowsiness are very seriousproblems that cause thousands of road accidents every year. This research aimsto create a system that can help prevent accidents caused by the driver'scondition. The system consists of three main components, namely embeddedsystems, real-time databases, and mobile applications. The embedded systemconsists of the Arduino Uno, Pulse Sensor, GPS Module, Push Button, andNodeMCU. Based on the tests performed, the system can distinguish male andfemale drivers based on the input of the Push Button received. The system readsthe driver's heart rate using a Pulse Sensor and monitors the driver's condition(normal, abnormal, and sleepy) on a straight road with an average error of1.69%. The system gets the driver's location using the GPS Module with theclosest error distance is 13.54 meters, and the farthest error distance is 18.66meters from the actual location. And the system can display data on real-timedatabases and mobile applications, as well as send Telegram notifications to thedriver's family smartphone via NodeMCU ith the fastest time difference is 5seconds and the longest time is 8 seconds in good internet conditions
Rancang Bangun Sistem Pengering Bengkuang Sebagai Olahan Keripik Berbasis Mikrokontroler Yelchi Multri Meisya; Dodon Yendri
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1600.14 KB) | DOI: 10.25077/chipset.3.01.45-57.2022

Abstract

This research was conducted with the aim of drying jicama as a processed yam chips. The condition of the yam dried in an open space with low temperatures resulted in the growth of fungus on the surface of the jicama. The growth of mushrooms on jicama makes it unable to be processed and consumed. Therefore we need a system that can dry yam with a drying machine. This system can monitor the water content of jicama using a soilmoisture sensor and measure the temperature with the DS18B20 sensor in the drying room. Jicama is said to be dry when the water content is <10%, when the moisture content value (> 25%) then the jicama is wet, if the water content of the jicama (10.1% ≤ KA ≤ 25%) then the jicama is in a humid condition, so that the fan, heater and DC motor turns on. This tool is designed using the Arduino Uno, DS18B20 sensor, Soilmoiture sensor, heater, DC fan, DC motor, buzzer, relay, LCD. When the temperature is> 60 ° C, the DC Heater and Fan will turn off to reduce the temperature. The results of the yam condition will be displayed on the LCD. This is expected to be able to dry jicama quickly and produce dry jicama with good quality.
Sistem Monitoring Jumlah Pengunjung Ruang Rawat Inap Rumah Sakit Berbasis Android Daputri Karmita; Dodon Yendri
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1121.585 KB) | DOI: 10.25077/chipset.3.01.18-31.2022

Abstract

A Hospital is a health facility that aims to provide good health services for patients. The physical environment of the inpatient room also affects the patient's psychological condition. The inpatient room should raise optimism so that it can help the patient's healing process. Standard operating procedures in a hospital limit the number of visitors in each inpatient room. This is especially true in the class 1 inpatient room, where the number of patients is limited to two people and the maximum number of visitors limited to 2 people. However, even though the number of visitors to the hospital has been determined, many of the patients' families or relatives who want to visit violate these rules. This happens even though it has been prohibited or without the knowledge of the hospital staff. This paper describes the development of an Android based system to monitor the number of visitors to the hospital's inpatient room, streamlining the number of visitors to the hospital's inpatient room. The researcher uses a camera so that he can immediately capture the number of visitors in the room. The captured picture are processed in a Raspberry pi to count the number of visitors in the room, using tensorflow as an object detector (visitor). The system can then send notifications to the application when the number of visitors exceeds the safe limit. Researchers also use a mobile application to display monitoring results. so that with this system, the head of the hospital room and the hospital security guard can find out the number of visitors who are in the hospital inpatient room and the number of visitors who exceed the maximum limit.
Smart Dispenser Menggunakan Voice Recognition Berbasis Mikrokontroler Antony Richardo; Dodon Yendri
CHIPSET Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.019 KB) | DOI: 10.25077/chipset.3.01.64-72.2022

Abstract

Voice recognition technology is one of the technological breakthroughs that is currently widely used. The operation of voice recognition is only by saying commands to control devices that are integrated with the user as a tool to facilitate human activities and even replace the role of humans in certain functions. In using the dispenser, it is necessary to choose cold or hot water and pull the faucet directly on the dispenser, while during a pandemic like today, we are required to reduce direct contact with objects that are used together. The use of the dispenser also has limitations for the amount of water released because it cannot be measured in a definite amount because there has been no research conducted to regulate the amount of water that is filled into the glass used by the user. For this reason, the use of the Voice Recognition module can be used as a solution to reduce direct touch to the dispenser because it utilizes voice commands given by the user and the Waterflow sensor is used to calculate the amount of water that will come out of the water faucet on the dispenser.