Articles
<![CDATA[Sistem Pemesanan Makanan dan Minuman Pada Restoran Menggunakan Teknologi NFC Berbasis Android ]]>
<![CDATA[Annisa Yolanda Putri]]>;
<![CDATA[Dodon Yendri]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 01 (2018): Journal of Information Technology and Computer Engineering ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (389.905 KB)
|
DOI: 10.25077/jitce.2.01.34-40.2018
<![CDATA[One area of business that is in great demand today is the culinary field. The culinary field is very mushrooming because it deals with meeting basic human needs. Therefore service to digital needs to be a concern. The goal is to improve services with NFC (Near Field Communication) based on Android for ordering food and drinks. This research uses experimental research methods by applying NFC that is on smart phones as a way to bring the smart phone closer to the NFC tag that is already on each table. Message data entered on a mini PC computer (Raspberry Pi) as the server for the next as a booking order that will be ordered by the waiter. Simulation show that a system can read NFC tags and find out table numbers via a smart phone with a 100% success rate, remote reading of NFC tags by smart phones is 2.5 cm and the average time by the system is 1,12 seconds. Besides that, the system is also equipped with calculations for payments with 100% accuracy.]]>
<![CDATA[Sistem Pengontrolan Dan Keamanan Rumah Pintar (Smart Home) Berbasis Android ]]>
<![CDATA[Dodon Yendri]]>;
<![CDATA[Rahmi Eka Putri]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 01 (2018): Journal of Information Technology and Computer Engineering ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Identifikasi Halitosis Berdasarkan Tingkatan Berbasis Sensor Gas Menggunakan Metode Learning Vector Quantization ]]>
<![CDATA[Dodon Yendri]]>;
<![CDATA[Anisa Irviana]]>;
<![CDATA[Andrizal Andrizal]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol 1 No 01 (2017): Journal of Information Technology and Computer Engineering ]]>
Publisher : <![CDATA[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
<![CDATA[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%.]]>
<![CDATA[Rancang Bangun Alat Ukur Tinggi dan Berat Badan Ideal Berdasarkan Metode Brocha Berbasis Mikrokontroler ]]>
<![CDATA[Luthfan Maulana]]>;
<![CDATA[Dodon Yendri]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 02 (2018): Journal of Information Technology and Computer Engineering ]]>
Publisher : <![CDATA[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
<![CDATA[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%.]]>
<![CDATA[Two Sequential Authentication Method on Locker Security System Using Open-Sourced Smartphone ]]>
<![CDATA[Dodon Yendri]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol 3 No 02 (2019): Journal of Information Technology and Computer Engineering ]]>
Publisher : <![CDATA[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
<![CDATA[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]]>
<![CDATA[Sistem Pemesanan Makanan dan Minuman Pada Restoran Menggunakan Teknologi NFC Berbasis Android ]]>
<![CDATA[Putri, Annisa Yolanda]]>;
<![CDATA[Yendri, Dodon]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018) ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25077/jitce.2.01.34-40.2018
<![CDATA[One area of business that is in great demand today is the culinary field. The culinary field is very mushrooming because it deals with meeting basic human needs. Therefore service to digital needs to be a concern. The goal is to improve services with NFC (Near Field Communication) based on Android for ordering food and drinks. This research uses experimental research methods by applying NFC that is on smart phones as a way to bring the smart phone closer to the NFC tag that is already on each table. Message data entered on a mini PC computer (Raspberry Pi) as the server for the next as a booking order that will be ordered by the waiter. Simulation show that a system can read NFC tags and find out table numbers via a smart phone with a 100% success rate, remote reading of NFC tags by smart phones is 2.5 cm and the average time by the system is 1,12 seconds. Besides that, the system is also equipped with calculations for payments with 100% accuracy.]]>
<![CDATA[Sistem Pengontrolan Dan Keamanan Rumah Pintar (Smart Home) Berbasis Android ]]>
<![CDATA[Yendri, Dodon]]>;
<![CDATA[Putri, Rahmi Eka]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018) ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25077/jitce.2.01.1-6.2018
<![CDATA[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.]]>
<![CDATA[Identifikasi Halitosis Berdasarkan Tingkatan Berbasis Sensor Gas Menggunakan Metode Learning Vector Quantization ]]>
<![CDATA[Yendri, Dodon]]>;
<![CDATA[Irviana, Anisa]]>;
<![CDATA[Andrizal, Andrizal]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol. 1 No. 01 (2017) ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25077/jitce.1.01.35-47.2017
<![CDATA[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%.]]>
<![CDATA[Rancang Bangun Alat Ukur Tinggi dan Berat Badan Ideal Berdasarkan Metode Brocha Berbasis Mikrokontroler ]]>
<![CDATA[Maulana, Luthfan]]>;
<![CDATA[Yendri, Dodon]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 02 (2018) ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25077/jitce.2.02.76-84.2018
<![CDATA[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%.]]>
<![CDATA[Two Sequential Authentication Method on Locker Security System Using Open-Sourced Smartphone ]]>
<![CDATA[Yendri, Dodon]]>
<![CDATA[ JITCE (Journal of Information Technology and Computer Engineering) Vol. 3 No. 02 (2019) ]]>
Publisher : <![CDATA[Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25077/jitce.3.02.65-69.2019
<![CDATA[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]]>
