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Jurnal ULTIMA Computing
Published by Universitas Multimedia Nusantara
ISSN : 23553286     EISSN : 25494007     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
urnal ULTIMA Computing merupakan Jurnal Program Studi Sistem Komputer Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Komputer serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, organisasi dan arsitektur komputer, programming, embedded system, sistem operasi, jaringan dan internet, integrasi sistem, serta topik lainnya di bidang Sistem Komputer. Jurnal ULTIMA Computing terbit secara berkala dua kali dalam setahun(Juni dan Desember) dan dikelola oleh Program Studi Sistem Komputer Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
Arjuna Subject : -
Articles 150 Documents
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Application of Hybrid Algorithm in Determining the Shortest Route Between Campus Branches Waeisul Bismi; Windu Gata; Anton .; Taufik Asra
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.1856

Abstract

Traffic congestion in the capital city is a familiar sight for the citizens of the capital, because two-wheeled vehicle users dominate the streets of the capital city as much as 72.8 percent while four-wheeled vehicle users are 26.5 percent. And congestion has a negative impact on the activities of the various citizens of the capital city, both in terms of work and in education. Therefore, an effective solution for road users in the capital city in overcoming congestion is to find the shortest route to get to the destination quickly. The application of the Djikstra algorithm is a solution in this case by determining the shortest route from the origin to the destination in order to get to the destination faster. Therefore, the researcher conducted a case study on the way to the STMIK Nusa Mandiri Kramat 18 campus as the place of origin to the STMIK Nusa Mandiri Jatiwaringin campus as the goal by trying to apply the Djikstra algorithm as a method of finding the shortest route.
Allergen Recognition in Food Ingredients with Computer Vision Elisa Belinda Johan; Aminuddin Rizal
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i2.2051

Abstract

The process of recognition and classification of food is very important. It can be useful for consumers who are sensitive in choosing foods that they want to consume. Considering that some food ingredients are allergens that can cause allergies for some people. This paper aims to design and build an Android-based system to detect food ingredients that can facilitate consumers in getting information about all allergens contained in the. The application is created by implementing Optical Character Recognition (OCR) algorithm and using Boyer Moore algorithm to do the word matching (string matching). The experiments were performed with trial of OCR, Boyer Moore, light sources, and technical words (uncommon words). Our experiment shows more than 90% accuracy obtained with different scenario applied.
Rancang Bangun Adjustable Power Supply dengan Overload Current Protection Berbasis IC LM723 Ari Bawono Putranto; Fakhruddin Mangkusasmito; Much. Azam; Zaenul Muhlisin; Megarini Hersaputri
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2056

Abstract

The type of power supply that is commonly used is the adjustable power supply. Its ability to generate a varying voltage level, making it suitable for testing a wide variety of electronic circuits. A conventional protection system of this type is usually a fuse, overcurrent event occurred due to improper installation of the components and circuit design will make this protection system is active and needed replacement fuse. To eliminate the need for fuse purchases at the Instrumentation and Electronics Engineering Laboratory, Undip Vocational School, an adjustable power supply was built with an overload current protection based on the LM723 IC for an operating level of 1 ampere. The system was built as non-fuse protection current limiter. This study will describe the stages of the manufacturing and testing system. The test results show that the power supply output is linear with the coefficient of determination = 0.99 and correlation = 0.99. The system can also limit the average maximum working current of 0.95 for several variations of load resistance.
Sistem Pemantauan Dapur Menggunakan Teknologi Hybrid WiFi - Visible Light Communication Denny Darlis; Aris Hartaman; Afifah Shafira
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2064

Abstract

Visible Light Communication (VLC) is a technology that allows the sending of data information through visible light that will be received as a piece of information. In its implementation, a sensor can send information data using VLC in this technological era. One model of data transmission that is widely used in life is to use radio frequency or better known as wireless.In this final project, a transmitter and receiver of data is realized through the transmission of light, this device consists of a lamp as an electrical converter to light, a photodioda as a converter of light to electric, and receiving data. Through the realization of this tool we can know that the transmission of data through light can occur can be used to transmit data. Data transmitted in this final project is the result of three sensor data namely temperature sensors, gas sensors, and fire detection sensors on the transmitter and on the receiver used firebase to monitor data. From the test results produce parameter values such as distance with a maximum distance of the data is accepted either 45cm, 50cm of data is damaged and 55cm of data is not accepted, the variations in angles and distances show that at a distance of 10cm it can receive data well from an angle of 0ᵒ to an angle of 35ᵒ, a distance of 35cm and 40 cm at an angle of 10ᵒ the received data is damaged and at a distance of 45cm and 50cm at a 5ᵒ angle cannot receive data and as well as the sending speed parameters obtained at a baudrate of 2400 bps, 4800 bps and 9600 bps the data sent can be received well.
Implementasi Modul Komunikasi LoRa RFM95W Pada Sistem Pemantauan Listrik 3 Fasa Berbasis IoT Ahmad Adhitya Nurhadi; Denny Darlis; Muhammad Ary Murti
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2065

Abstract

The use of electricity for large loads such as buildings and industry is a 3-phase electrical system. The manual activity of recording or monitoring data on electricity usage is considered impractical, so the use of IoT devices can be a solution. However, sending data on IoT devices using wired communication and Wi-Fi is considered less suitable considering that the device will be placed in a panel room that is rarely covered in the network. So that the use of other IoT communications such as LoRa can be an option. Therefore, the design and manufacture of LoRa-based IoT devices was carried out. This is done to expand the scope of IoT devices in carrying out 3-phase kWh meter readings. The device sends data through LoRa communication with test parameters, namely RSSI, SNR and throughput. The device made is an interface between a 3-phase kWh meter with LoRa communication which includes a MAX485 IC, ATMega 2560 microcontroller, and LoRa RFM95W communication module. From the test results, the device can send 3-phase kWh meter data every 3.611 seconds with an average throughput of 957.231 bps. LoRa communication performance used in LOS conditions can reach 300 meters with RSSI -107.625 dBm, SNR -13.063 dB. Meanwhile, in non-LOS conditions the lowest RSSI was -103.338 dBm and the lowest SNR was -8.897 dB.
Perancangan Alat Karakterisasi Dioda dengan ESP32 dan Rangkaian Op-Amp LM358 Berbasis Android Ari Bawono Putranto; Zaenul Muhlisin; Amatul Lutfiah; Fakhruddin Mangkusasmito; Megarini Hersaputri
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2088

Abstract

This research has succeeded in making a diode forward bias characterization test device using the ADC and the internal DAC of the ESP32 microcontroller. The output voltage of the DAC is added by 2 times the LM358 non-reversing op-amp amplifier circuit. So that the test results of the DAC output voltage can reach a maximum value of 6.3 volts as a source of variable DC power supply for the diode forward bias characteristic test circuit. Diode forward bias characterization testing is carried out through the interface of an Android smartphone with a WiFi network and a forward bias characterization curve is obtained which has a value and shape almost the same as the manual test. Testing the diode forward bias characterization using this application is faster than using manual measurements with a multimeter measuring instrument. Based on tests carried out using the Android smartphone application for 3 times, it was obtained an average time of 30 seconds, while manually using a measuring instrument obtained an average time of 657.7 seconds.
Modeling and Controlling the Actuator Joint Angle Position on the Robot Arm Base Using Discrete PID Algorithm Machdiar Rohman; Dede Irawan Saputra
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i2.2103

Abstract

DC motor is a motor that is easy to apply. Its application in robotic DC motor control often occurs errors due to the existing load, so that the DC motor becomes inaccurate. The control used is PID (proportional integral differential). This PID control system works by processing calculations based on the control variables Kp, Ki, and Kd to achieve the conditions according to the expected setpoint. To make a DC motor position control device can be controlled with a PID controller. In practice, the variable to be controlled in this research is position control in the form of degrees. With the Arduino Mega controller, the motor driver as a DC motor rotation controller, the DC motor is given feedback in the form of an encoder sensor, the software used is the Arduino IDE. The results showed that PID control can correct errors and transient responses with a time constant value of 1.50 seconds, a rise time of 1.60 seconds, a settling time of 2.30 seconds and a delay time of 1.20 seconds and a peak time of 1.6 seconds and an error value of 0.33% through tuning parameter Kp = 16 Ki = 0.001 Kd = 16.
Emotion Recognition using Convolutional Neural Network in Virtual Meeting Environment Nabila Husna Shabrina; Julando Omar; Akmal Nusa Bhakti; Axel Patria
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 1 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i1.2108

Abstract

This study is done in order to propose an Emotion Recognition System that uses Convolutional Neural Network in a Virtual Meeting Environment to detect non-verbal feedback that emerge when communicating. This study starts with the training process of the CNN model with version 2.3.0 of tensorflow-gpu library, along with FER-2013 dataset, where only 80% of the data is used as the training set, and the other 20% is used as the test set. The model is trained for 430 epochs that results in 73.86% rate of accuracy with a loss of 1.42. In the classification process, a Haar-Cascade Classifier algorithm is used to detect faces within an image that has been inputted using OpenCV. Next the already developed model is used to predict the image that has been pre-processed. Based on the results shown, it can be concluded that the study has provided satisfactory results and is expected to help in understanding non-verbal input given when communicating and among other various things.
Hand Gesture Detection for Sign Language using Neural Network with Mediapipe Arsheldy Alvin; Nabila Husna Shabrina; Aurelius Ryo; Edgar Christian
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i2.2109

Abstract

The most popular way of interfacing with most computer systems is a mouse and keyboard. Hand gestures are an intuitive and effective touchless way to interact with computer systems. However, hand gesture-based systems have seen low adoption among end-users primarily due to numerous technical hurdles in detecting in-air gestures accurately. This paper presents Hand Gesture Detection for American Sign Language using K-Nearest Neighbor with Mediapipe, a framework developed to bridge this gap. The framework learns to detect gestures from demonstrations, it is customizable by end-users, and enables users to interact in real-time with computers having only RGB cameras, using gestures.
Implementation Of Lossy Compression Method For Storage Saving On Fog Computing Rachmat Indra Permadi; Dany Primanita Kartikasari; Fariz Andri Bakhtiar
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i2.2214

Abstract

Video surveillance is a technology that uses a camera as an image receiver or input and a monitor/TV as an image producer or output to covers in certain areas. In its application, video surveillance monitors an area/place using a camera that has been installed in that place. The camera periodically records the situation that occurs in a place which is then sent to the virtual storage room via the internet network which is then displayed on the monitor/TV. However, video surveillance has a weakness, the data/video generated is so large that the storage space becomes full. Based on the experiments that have been carried out previously, the concept of fog computing is applied which is connected to a CCTV camera installed in a room for 24 hours. From these experiments, the results obtained are quite large recordings of 4 GB. To reduce the use of excessive storage space, resource management is carried out using the lossy compression method. In this study, the concept of fog computing is applied to compress video using the lossy compression method. The lossy compression methods used in this study include; H.263, H.264, and MJPEG. In this study, a video with the H.263 codec was produced which resulted in an average video size of 57,282 KB. While the H.264 and MJPEG codecs produce an average video size of 166,350 KB and 303,555 KB.

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