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INDONESIA
Journal of Information Technology and Computer Engineering
Published by Universitas Andalas
ISSN : 25991663     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Journal of Information Technology and Computer Engineering (JITCE) is a scholarly periodical. JITCE will publish research papers, technical papers, conceptual papers, and case study reports. This journal is organized by Computer System Department at Universitas Andalas, Padang, West Sumatra, Indonesia.
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Articles 6 Documents
 1 
Search results for , issue "Vol 2 No 02 (2018): Journal of Information Technology and Computer Engineering" : 6 Documents clear
Implementing Backward Chaining Method in Expert System to Detect and Treat Rice, Chilli, and Corn Plant’s Pests and Diseases Anton Muhibuddin; Primaadi Airlangga; M. Mirza Sulthoni; Aries Budi Wicaksana
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 (425.2 KB) | DOI: 10.25077/jitce.2.02.71-75.2018

Abstract

Indonesia is an agrarian country which most of it’s citizens are farmer. There are various kind of decent plants to grow in Indonesia but most of them plant rice, corn, wheat, and sago as staple food. There other plants that is consumed not as main food but as subsidiaries, one of them are chilli pepper. Abundant variety of vegetation in Indonesia means that there are also many type of pests and diseases. An agriculture expert is needed to identify plant’s diseases and pest correctly. Meanwhile, the number of agriculture experts is insufficient to help massive amount of farmer whom have trouble in agriculture. This problem can be solved by using Expert System where farmers can detect the problem on their plants and finding treatment to cure their plants correctly them self. This research is mean to develop an Expert System Application in agriculture to identify diseases and pests based on their symptoms especially rice, chilli, and corn plants. This Expert System is based on web program using Backward Chaining Inversion which is deemed necessary to solve the case study’s problem. Responsive Web Based System can be accessed by user or client from many devices especially their smart phone help diagnose disease that occurs to their plant, more over, to solve the low rate of expert on agriculture.
Sistem Pengatur Irigasi Sawah Menggunakan Metode Irigasi Alternate Wetting and Drying Berbasis Teknologi Internet of Things Tisnainil Husna; Dody Ichwana; Werman Kasoep
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 (538.715 KB) | DOI: 10.25077/jitce.2.02.92-100.2018

Abstract

Rice is the staple food of the majority of Indonesians and most of the population work as farmers. However, the amount of rice produced are still insufficient. To meet the rice needs for the society, it should increase the amount of rice production by focusing on rice field quality such as the water level rice fields. In this study a prototype rice field irrigation system is designed using AWD irrigation method by regulating open activation and closing the inlet gate and exit gate based on the age of paddy which are calculated using RTC and the height of paddy water measured using ultrasonic sensors. The system also designed to receive input from the age of paddy and deactivate the system from the mobile application through the ESP8266 module. Test results from this system can measure water level with accuracy of 95.68% and read real-time time with 98.67% accuracy. The servo motor NFC DS04 works to open the door with a duration of 60 seconds and closes the door with a duration of 56 seconds. The paddy irrigation regulating system can regulate the water level with a success percentage of 81.48%. The system can receive input and deactivate the system with a percentage of success of 70%.
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%.
Identifikasi Penyakit Diabetes Mellitus Melalui Nafas Berbasis Sensor Gas Dengan Metode Fast Fourier Transform dan Backpropagation Mohammad Hafiz Hersyah; Andrizal Andrizal; Revinessia Revinessia
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 (618.581 KB) | DOI: 10.25077/jitce.2.02.85-91.2018

Abstract

The purpose of this research is to detect whether a person has diabetes mellitus or not. In people with diabetes mellitus uncontrolled will result in a decline in the rate of saliva that results in bad breath. The system uses the sensor TGS 2602 and MQ 4. It's function is to detect the levels of Hydrogen Sulfide and Methan in a person’s breath. The decision is made by using the neural network with a backpropagation method. The result for 5 (five) tests of diabetes mellitus samples can be detected with a success rate of 80%, whereas using random samples, the test detected with detected with a success rate of 80% samples that didn’t contain diabetes mellitus. This system could provide a solution for testing if a person is suffering from diabetes mellitus
Sistem Peringatan Dini Bencana Longsor Menggunakan Sensor Accelerometer dan Sensor Kelembabapan Tanah Berbasis Android Onny Octaviani Artha; Budi Rahmadya; Rahmi Eka Putri
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 (643.306 KB) | DOI: 10.25077/jitce.2.02.64-70.2018

Abstract

Landslide is one of the most frequent disasters in Indonesia, especially in hilly areas, valleys, and volcanoes. Geographical conditions that are generally mountainous areas and have slopes make the soil unstable. As a result, when the movement of the land becomes easy to slide. Ground shifts and excessive water content are the main causes of landslides. The landslide disaster can cause many losses, such as to cause loss of life, can disrupt transportation facilities, damage agricultural land, and various other consequences. In this study used sensor MPU6050 and Soil Moisture and NodeMcu sensors to provide early warning of landslides. Linear acceleration is detected by using MPU6050 sensor and will define the ground movement based on the scenarios developed in this study. Soil moisture sensor detects soil moisture. The result of soil movement detection and soil moisture is stored in file storage. When ground detection and soil moisture is greater than 51%, the alarm alert is sent to the user's smartphone with a 100% success percentage.
Sistem Keamanan Sepeda Motor Berbasis Mikrokontroler dan Modul GSM Deri Andesta; Rian Ferdian
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 | DOI: 10.25077/jitce.2.02.51-63.2018

Abstract

This study aims to create a security system that can work when motorcycles are parked or are being driven. Most congenital motorcycle security systems work only when the motor is parked, such as the security of the ignition key and the handlebar lock. In fact, not infrequently theft is done by robbing a motorcycle that is being driven by owner. Then made a system using Arduino microcontroller platform, GSM SIM800L module and mobile device. The system created consists of three MODE, the MODE PARKIR, MODE JALAN and MODE MANUAL that can be selected through mobile devices with Bluetooth connection. In MODE PARKIR there are two sensors that detect the theft action, the vibration sensor SW420 and Voltage sensor. If the ignition key is successfully broken or there is a motorcycle on the motorcycle GSM SIM800L module will give notification in the form of SMS and phone call. For Roadside mode the motorcycle ignition system will be activated automatically and the owner can directly use the vehicle without having to manually activate the ignition. When the motorcycle is seized the owner can turn off the vehicle engine by pressing the Stop button on the mobile device and GSM module SIM800L will send the coordinates of the nearest BTS.

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