Zulkifli Amin
Jurusan Teknik Mesin, Fakultas Teknik, Universitas Andalas, Limau Manis, Padang 25163

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Sistem Pengontrol Temperatur dan Kelembaban Otomatis untuk Ruang Penyimpanan Buah Zulkifli Amin; Muhamad Adha
METAL: Jurnal Sistem Mekanik dan Termal Vol 1, No 2 (2017): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (770.463 KB) | DOI: 10.25077/metal.1.2.77-90.2017

Abstract

One of the preservation fresh fruit techniques is by using low temperature storage techniqe. This methode is intended to maintain good quality fresh fruits during the period of storage. Maintaining fresh friuts in the suggested low temperature and humidity lead to decelaration the activities of the causes of the spoilage of fresh fruits. Currently, fresh fruit storage methods is only focus on using low temperature storage methods regardless the prerequisites of the temperature nor humidity suggested best for fresh fruit preservation.  Nowaday’s fruit storages used for maintaining fresh fruit longer is only operated by keeping the storage temperature constant on certain value during the period of storing and the value of the temperature is set manually. However, in order to optimise the results in fruit preservation, the temperature and humidity are also needed to be varied during priod of storage. This article illustrates the development of a system which can automatically control the temperature and humidity of the storage room in accordance with fruit preservation temperature and humidity suggested. In addition, , the temperature and humidity are also can be varied during priod of storage. This research is started by designing and building the electronic wiring system and controlling system. Next, continuing with programming for a microcontroller kit using Arduino IDE software. The container used for the fruit storage is a modified showcase fridge which is equipped with an ultrasonic humidifier and a DHT11 temperature and humidity sensor. The testing is carried out by observing the ability of the controlling unit apparatus to control the temperature and humidity of the storage container based on program inputed into the controller kit. The storage container is controlled to have temperature of 25°C, 10°C, and 25°C accordingly and the humidity of 85%.  Both the temperature and humidity of the storage container are then measured and read manually using temperature and humiditymeter HTC-2. These temperature and humidity measurement data are compared with the temperature and humidity automatically measured by the sensors in the the control unit apparatus. The measurement results show that the values of  temperatures and humidity measured by both methods are nearly the same. So, it can be concluded that the controlling unit apparatus is worked properly. It can control the temperature and humidity of the storage container as the program inputed into the controller kit and it can read the temperature and humidity accurately. In addition, the experiment using papaya fruits shows that the papaya fruits can be maintained fresh longer.
Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle Zulkifli Amin; Derry Meldi
METAL: Jurnal Sistem Mekanik dan Termal Vol 2, No 2 (2018)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (792.922 KB) | DOI: 10.25077/metal.2.2.50-60.2018

Abstract

Indonesia often suffers from disasters triggered by natural damage caused by human actions such as floods and landslides. The difficulty of finding victims of natural disasters is the cause of the slow process of evacuation of victims. Because the time required to perform a search is relatively long, it causes a large number of unsaved victims. The availability of camera and UAV equipment and image processing and control technologies can be used to facilitate the search for victims of natural disasters. Image processing is an image processing technique that converts the input image into another better quality image. An image processing device mounted on a UAV that can fly at a certain height can search with missions that have been entered on the software mission planner. This tool is also more accurate because it comes with a GPS that reports the coordinates of the UAV. From the tests conducted with three high variations of 5 meters, 10 meters and 15 meters, obtained an average photo of 28, 51 and 85 photos for each height respectively. This identification system works well. It is known from that detected objects can be captured images.  There are differences of number images being captured in each height, this happens because the camera specification is not supporting, as well as the influence of wifi router signal is disconnected at a certain distance. The distance between the UAV and the wifi router will affect the process of detecting objects as well as image capture.
Rancang Bangun Sistem Kontrol dan Monitoring Data Turbin Angin Berbasis Website Menggunakan Raspberry Pi 3B+ Meiki Eru Putra; Zulkifli Amin; Islahuddin Islahuddin; Sanny Ardhy
METAL: Jurnal Sistem Mekanik dan Termal Vol 4, No 2 (2020): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3087.847 KB) | DOI: 10.25077/metal.4.2.70-81.2020

Abstract

Indonesia has considerable wind energy potential. Energy generation system performance can be monitored and controlled through the Internet of Things (IoT) technology. However, research and development of IoT technology in wind turbines in Indonesia is still low. Therefore, in this study, the author seeks to conduct research related to the development of a website-based wind turbine control and data monitoring system. This research uses a 3 blade horizontal axis wind turbine (NACA 2410). The monitoring system uses the Raspberry Pi 3B + microcontroller and several sensor devices such as the IR LM393 speed sensor to measure wind speed and shaft rotation speed, and the INA219 current-voltage sensor to measure the voltage and current of a 350 Watt DC generator. The website was created using the Laravel 5.8 PHP framework and Chart.js. Furthermore, the sensor calibration process and system testing are carried out. Based on the test results, it was found that the monitoring data system was functioning properly. The data has been successfully sent to the server and can be monitored in real-time via the website. Based on the results of the IR LM393 sensor calibration test, the linear regression equation y = 0.7881x + 13.837, and the value of R2 = 0.9934 is obtained. And the value of R2 = 0.9934 indicates that the sensor calibration process is well correlated. The results of testing the control system and monitoring of wind turbine data monitored through the website for 1 x24 show that the highest wind potential occurs at 13.00 to 14.00 WIB, namely at a wind speed of 3.74 m / s.