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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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Automatic Warning System for Weather Station Power Supply Mumtazanisa Fairuzen; Angga Rusdinar; Fiky Yosef Suratman; Denny Darlis
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.v13i2.2261

Abstract

Weather observation is one of the important factors in agriculture. Data from weather observations can be used for various things, including to predict future risks due to these weather conditions. An Automatic Weather Station (AWS) is needed to read weather conditions continuously. Some of the devices that will be built for the AWS system are data communication, sensors, and power supply. AWS is usually installed in certain areas where there is no power source. Hence, it takes a power supply system that can stand alone and has a security system that can monitor the components connected to the system in real-time. This research successfully designed a power supply system for a weather station that is equipped with current and voltage measurement features for its load as well as a warning system feature in case of interference on GSM SIM900-based Weather Station. Based on the results of the study the system using solar cell modules has an efficiency of 14,1% and is supported with the help of batteries that can be recharged through solar energy. Using the INA219 sensor to measure the voltage and load current connected to devices that have an error percentage value of less than 1%, the data is then uploaded to Thingspeak. Testing of warning systems at the Weather Station is conducted using Magnetic reed sensors capable of detecting changes when the separation distance between the sensor and other magnets is more than 3cm.
Steering Control System Design on Electric Car using Remote Control Adri Tamma Furqon; Angga Rusdinar; Azam Zamhuri Fuadi; Martin Hardiyanto; Usman Sakiman
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.v13i2.2263

Abstract

Teleoperation vehicles such as Unmanned Ground Vehicles can be used for surveillance or exploration, including the detection of mines. PT. Pindad plans to develop a vehicle for minesweeping. In this research, a prototype of an unmanned vehicle system was built. The vehicle had a steering system that can be remotely controlled, which allows for more maneuverability. A Proportional Integrated and Derivative control was attached to the system. The PID control has the ability to speed up and generate system responses according to user requirements. The experiment result showed that the system got a rise time response of 1.6 seconds and a steady state error of 0%, and the percentage comparison between the angle given by the remote control and the angle read by the rotary encoder is 97.89 %.
Comparison of FIR Window Filter Variation Results on Pink Noise Audio John Christopher; Nabila Husna Shabrina; Cindy Cornelia; Yoel Zakhary
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): 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.v14i1.2120

Abstract

IIR and FIR filters are the most used digital signal filters. The application of each filter type depends on the needs of the user. IIR filters are generally used for applications with limited memory. In comparison, FIR filters are usually used for applications where the linear phase is essential. In this study, the implementation of FIR filters on pink noise audio samples was observed. Various FIR window method filters such as rectangular, hamming, hanning, and Blackman will be compared. Each type of filter will have a different filter order due to computing the frequency cut-off point for each filter. The comparisons were made by observing the gain response, the time domain signal, the frequency response, and the phase response. The results indicated that the Hanning window method is a better filter because it produces low delay and good attenuation. Things to be considered in designing FIR filters are fluctuations in frequency response and phase shift. Alterations on cut-off points on the filters and delay usage can be deployed for some improvement
Indoor Positioning System Infrastructure Based on Triangulation Method through Visible Light Communication Apnan Juanda; Willy Anugrah Cahyadi; Angga Rusdinar; Denny Darlis
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): 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.v14i1.2271

Abstract

Autonomous mobile robots are widely used in industry to help human’s work, but the concept has a weakness, that is robot still does not know its position in a room so it can not detect whether the robot has been at destination point. The technology commonly used to determine the position of objects is the Global Positioning System (GPS). However, GPS does not detect objects that are indoors. Previous research used Wi-Fi as a reference for designing an indoor positioning system, but the system could not determine the position in detail because Wi-Fi could only detect object zones. Based on these problems, this research will propose the infrastructure prototype design of an indoor positioning system based on Visible Light Communication (VLC). The main focus of this research is designing a VLC transmitter and receiver system, estimating the distance between the receiver and transmitter based on the received signal strength, and estimating the receiver's position using the triangulation method based on a minimum of 3 distance estimates. The estimating distance system get average accuracy is 76.47%. The estimated accuracy of the x-coordinate position has the best accuracy is 77.05% and the y-coordinate estimate has the best accuracy is 86.54%.
The Development of an IoT-based Indoor Air Monitoring System Towards Smart Energy Efficient Classroom Moeljono Widjaja; Dareen Kusuma Halim; Rahmi Andarini
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): 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.v14i1.2565

Abstract

Indoor air quality has become a crucial issue, specifically during COVID 19 pandemic. The good indoor air quality will lead to occupants’ comfort condition, thus affecting their productivity. Indoor air temperature and relative humidity are two essential components of thermal comfort. This paper presents the development of a temperature and relative humidity monitoring system for the classroom using the Internet of Things (IoT). This system consists of three main components: logger nodes, a gateway logger, and an interconnected cloud server. The logger node (ESP8266 / ESP32 microcontroller and DHT22 sensor) is a device at the edge of the IoT system and is placed at the monitoring location. The logger gateway is built on a Raspberry Pi 4, which serves as an intermediate server. It receives periodic data (temperature and humidity) from the logger nodes through the publish-subscribe MQTT protocol and sends it to the MongoDB Atlas cloud database. The logger gateway saves all received logs into the SQLite database as temporary local storage and then uploads the data to the MongoDB Atlas cloud at a predefined interval. The MongoDB data is then displayed on a monitoring dashboard using MongoDB charts. The logger node with the DHT22 sensor has been adjusted using a linear model and successfully tested to monitor indoor and outdoor air conditions with satisfactory results. The recorded data has also been successfully modeled using the Gaussian Mixture Model and a simple Fuzzy model. These models can capture the dynamic of air condition in the room and predict the state of the cooling system.
Specification Design and Performances Using Computational Fluid Dynamics for Mini-Remotely Operated Underwater Vehicle Muhammad Sawal Baital; Fakhruddin Mangkusasmito; Mitha Asyita Rahmawaty
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): 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.v14i1.2567

Abstract

Remotely Operated Underwater Vehicle (ROV) is a submersible robotic system, used to examine various underwater characteristics and controlled by operators from shore. The applications of ROV are widely diverse, especially for exploration and marine industry. This research is to investigate pressure and drag on underwater vehicles using the CFD approach. A low-cost mini ROV with a 300 mm length was used for the research and to determine the hardware and material type required for prototype production by observing pressure and drag from the CFD simulation result. Simulation is solved using CFD software with RANSE method and Shear Stress Transport based k- ɷ was used as turbulence setting. The result indicated that to pull the mini ROV from the surface to a depth of 50 m requires a thrust of 3,9 kg and the mini ROV receiving the pressure of 7,7 bar.
Sensor Design for Building Environment Monitoring System based on Blynk Fahmy Rinanda Saputri; Sekar Fattima Dhaneswari
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): 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.v14i1.2661

Abstract

A green building is a building wherein planning, construction, operation until the maintenance reduces the negative impacts, such as efficient use of energy, water, and other resources, maintaining the excellent quality of the building, and considering the quality of life of occupants. Good environmental damage in the building will affect the health, comfort and, safety of the occupants' lives. Therefore, it takes green buildings concept for buildings where people do activities in a home, an office, a school, a hospital, or a community center. To implement the green building concept, the building needs a monitoring system to monitor the quality of its environment. This research aim is to design sensor systems to monitor the building environment. The parameters monitored are temperature, humidity, illuminance, and noise intensity. The sensor system needs to the integrated with microcontroller and Blynk applications. The sensor system obtains the environment parameter. The accuracy rating for the temperature sensor is 94.41%, the humidity sensor is 93.53%, the light sensor is 91.26%, and the sound sensor is 97.13%. Blynk's warning system can make it easier for users to monitor the environment of a building.
Preliminary Study on Indonesian Word Recognition for Elder Companion Robot MB Nugraha; Dyah Ayu Anggreini Tuasikal; Ni Made Satvika Iswari; Luthfialmas Fakhrizki
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 1 (2022): 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.v14i1.2696

Abstract

Word recognition using deep learning is a simple approach to speech recognition in general. From this word-level recognition, the emotional expression recognition model. The emotion recognition model can be used to describe the important level of action on future planned hardware implementation. This research was conducted using MFCC as the feature extraction method from the audio data and using the CNN-LSTM approach for the emotional expression classifier. The model itself will be implemented into a humanoid robot to become a companion robot for the elderly. The model itself has 67% accuracy for emotion recognition and 97% accuracy for word recognition. However, the model only attained 20% accuracy in real-life testing using the humanoid robot as the model tends to overfitting as a result of the lack of data used in model training.
Black Hole Detection Using Modified Sequence Number in Vehicular Ad-hoc Network Rakha Fikran Julda; Dany Primanita Kartikasari; Rakhmadhany Primananda
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 2 (2022): 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.v14i2.2779

Abstract

Vehicular Ad-hoc Network (VANET) is a type of wireless network with Dedicated Short-Range Communication (DSRC) that enables communication between vehicles (V2V) and communication between vehicles to infrastructure around them (V2I). VANET has several security requirements to consider in order to maintain the network functionality. Availability is the most important security requirement due to its responsibility of maintaining the functionality of the network, attack on availability may cause the lack of availability and reduce the efficiency of VANET. One of the attack that threat the availability of VANET is black hole. In this paper, we address the problem of black hole attack in VANET, using Modified Sequence Number (MSN) as a detection method. The simulation is performed using NS-2 as a simulator and AODV as a routing protocol. Detection Rate (DR) and False Alarm Rate (FAR) are used to evaluate the performance of MSN algorithm in detecting black hole attack. Evaluation with variation in the number of CBR packets shows that MSN algorithm successfully detects black hole attacks with DR values reaching 69.0909% at 10 CBR packets and FAR values reaching 0.0037 at 20 CBR packets. We also evaluate the performance of MSN algorithm with variations of node density. The evaluation shows that MSN algorithm successfully detects black hole attack with DR values reaching 100% with a density of 10 and 20 nodes, with the percentage of FAR values reaching 0% in all numbers of node density.
Water Flow & Temperature Control to Increase Extraction Yield of Light-roasted Coffee Beans Samuel Hutagalung
Ultima Computing : Jurnal Sistem Komputer Vol 14 No 2 (2022): 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.v14i2.2810

Abstract

Using light-roasted coffee beans for brewing espresso poses a general problem for pump-based espresso machines. Soluble in light-roasted coffee beans is more challenging to extract and requires a higher EY percentage because it has a relatively higher acidity level than dark-roasted coffee beans. The extraction range of 18% - 22% in light-roasted coffee beans for espresso brewing with an 8% - 12% TDS is qualitatively considered insufficient to produce espresso with a balanced taste. To improve the extraction ability of the espresso machine on coffee soluble. We design two features that hypothetically can solve the problem: Temperature Control Module to increase water temperature stability as a replacement for the thermostat, and Flow Control Module to regulate the speed of the vibration pump by adjusting the voltage resistance to reduce the water pressure/ flow rate used during the initial extraction at the preinfusion phase. Based on the results of trials using an espresso machine that has added temperature and flow control modules, there is an increase in the average percentage of extraction compared to the results of trials using stock machines; the average extraction percentage increased by 4.83 points. Qualitatively, this increase of %EY also significantly impacts the espresso taste, which tasted very sour and unbalanced, became relatively more balanced and comfortable to enjoy.

Page 10 of 15 | Total Record : 150

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