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Journal : Jurnal Fortech

Smart LCD Proyektor Balancing Berbasis Android Febrian Andi Pratama; Miftachul Ulum; Riza Alfita
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.826 KB) | DOI: 10.32492/fortech.v1i2.226

Abstract

A The use of LCD projector as one of the supports media for teaching, and learning activity has been commonplace in the world of education today, for example at the University of Trunojoyo Madura. During this time, the LCD projector is very helpful in the learning process, especially for presentations and others. The LCD projector also very well utilized with the limitations of the remote, often the projector must be turned on manually, by hand or by using a long stick. For a long time, if this continues and is often done it can cause damage to the projector and can disrupt the teaching and learn process in the room. The solution in this case is to make a simulation tool and projector controller application that functions to turn on, turn off, kmow the slope and adjust the direction of movement on the projector. Furthermore, this application can be embedded on mobile devices, especially Android-based mobile phones. This tool uses the Bluetooth module, Arduino as a media connection between Android and Arduino. With the use of the application, it is expected to be implemented to avoid damage to the projector which is too often used manually and certainly will greatly assist the teaching and learn process, especially at the University of Trunojoyo, Madura.
Rancang Bangun Sistem Pengaman Pintu Menggunakan RFID dan Fingerprint Faridatul Husniyah; Miftachul Ulum; Kunto Aji Wibisono; Riza Alfita
Jurnal FORTECH Vol. 2 No. 1 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (680.273 KB) | DOI: 10.32492/fortech.v2i1.232

Abstract

In storing valuables such as electronics, money, jewelry, data and so on, it must be in a safe place. Because the safe factor is a social need of every human being. One of the triggers for crime such as theft, burglary or others is a lack of security, especially in the home environment. Another cause of security is that the door locking system still uses manual locks, making it less effective. Because the door is an important thing in a room, where we can always go in and out to store or put things. From these problems, a door guard using RFID (Radio Frequency Identification) or a fingerprint is needed to make the door safe from crime. This security system is designed using Arduino uno r3 ATmega 328 as a microcontroller equipped with an component of RFID reader and fingerprint sensor as well as a door lock solenoid to access the door. By scanning a fingerprint or scanning an RFID card, the data will then be processed and matched with data that has been registered or stored in the database to be able to access the door. Based on the results of the research that has been done, the value of fingerprint accuracy from 3 tests is 80,6%. The safety system can work quite well according to the design..
Perbandingan Optimasi Kontroler Putaran Motor Permanent Magnet Syschronous Machine Machrus Ali; Miftachul Ulum
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.506 KB) | DOI: 10.32492/fortech.v1i1.218

Abstract

Low torque low owned by PMSM (Permanent Magnet Synchronous Machine) required an excellent control model. PMSM uses the principle of faraday's law by rotating magnets in the coil by using other energy sources. When a magnet moves in a coil or vice versa. The engine rotation will change the magnetic force flux on the coil and penetrate perpendicularly to the coil so that a potential difference arises between the ends of the coil. The potential difference is caused by changes in magnetic flux. in order to get the best control method, a good speed control model is needed. In this study comparing PMSM speed control using PID, Fuzzy Logic Controller (LFC), and Adaptive Neuro-Fuzzy Inference System (ANFIS). The simulation results show that the best model on the ANFIS controller that is closest to Speed ​​Reff (300 rpm) is that ANFIS obtains the rotational profile with the smallest undershot, the fastest steady state, the best output current profile, the best torque profile, and the best voltage profile. The results of this study will be followed by the use of other Artificial Intelligence.
Rancang Bangun Automatic Transfer Switch (ATS) - Automatic Main Failure (AMF) Untuk Otomatisasi Genset Berbasis Mikrokontroller Menggunakan Metode Fault Tolerance M. Dikhyak Falakhul Akmal; Riza Alfita; Miftachul Ulum; Haryanto Haryanto; Mirza Pramudia; Rosida Vivin Nahari
Jurnal FORTECH Vol. 2 No. 2 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.12 KB) | DOI: 10.56795/fortech.v2i2.205

Abstract

Often electronic equipment is damaged due to a sudden power outage. This often happens due to uncertain natural conditions, forcing PLN to carry out maintenance on its electricity distribution equipment. In addition, many electrical equipment can be damaged by sudden power outages. To be able to overcome this, people usually use generator to overcome supply failures manually. Based on this background, the author created an Automatic Transfer Switch (ATS) – Automatic Main Faillure (AMF) based on the STM32F103C8T6 microcontroller which is applied to generators when there is a power outage. The ATS – AMF device is made using Relays, PZEM004T Voltage Sensors, magnetic contactors, Miniature Circuit Breakers, stepdown circuits, LCD TFT and STM32F103C8T6 as control systems. This system uses the Fault Tolerance method so that the system can continue to run even if there is damage to the main battery by adding a backup battery as a backup. The results of this study, the Automatic Transfer Switch (ATS) circuit found that the average time needed for the generator to start is 2.5 seconds and the time needed for the generator to produce a stable voltage is 5.7 seconds, thus this time is used as the author's reference in determining the right time to switch the load on the microcontroller so that the load is not damaged due to unstable generator voltage. Whereas in the Automatic Main Failure (AMF) it was found that the Stepdown circuit used to detect whether or not PLN electricity was very responsive because the stepdown circuit was installed in parallel at the PLN source and can be proven by the results in the Arduino application.
Rancang Bangun Timbangan Buah Digital Menggunakan Metode YOLO Clarisna Evita; Riza Alfita; Haryanto Haryanto; Rosida Vivin Nahari; Miftachul Ulum; Mirza Pramudia
Jurnal FORTECH Vol. 3 No. 1 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.606 KB) | DOI: 10.56795/fortech.v3i1.105

Abstract

The rapid development of technology has created various conveniences in all aspects of human life. One of the fields of technology that is rapidly developing is the world of electronics, which demands digitization to facilitate human activities. For example in the field of trade, humans want a process that is practical and easy. Weight measurement is one of the problems that hinders the trading process, because it is still done manually and is less efficient. The purpose of making a design of automatic digital scales based on fruit images using the yolo method (you only look once) is to determine the type and weight of fruit using a Load Cell sensor simultaneously and accurately. The working principle of this tool is the first, the detection of fruit types is processed by a USB Webcam by taking video from the Webcam and then processing it using the Yolo method to identify the type of fruit. The second stage is input from the Load Cell sensor sending object data read to the Raspberry Pi as the main controller. to determine the weight of the fruit, then the last stage is displayed on the LCD and the results can be printed out as proof of purchase receipt. From the LCD directly displays output in the form of price, weight and type of object being weighed. The Yolo method can detect objects and colors and has high detection speed and accuracy.