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JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science)
Published by Universitas Merdeka Malang
ISSN : 26144859     EISSN : 26144867     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JEEMECS is an Open-Access journal who managed by Electrical Engineering Department, Faculty of Engineering, Universitas Merdeka Malang, Indonesia. The technologies are rapidly changing and updating. Thus rapid distribution and publication to researchers, engineers, and educators are very important. Our aim after receiving the manuscript and editing process required is to quickly publish the received letters. Publishing periodically 2 (two) times a year. More several other changes in JEEMECS are informed in the journal history.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 7, No 1 (2024): February 2024" : 6 Documents clear
Application of 5G Mobile Communication System to Artificial Intelligence: A Systematic Literature Review and Research Agenda Irfan Mujahidin; Gisnaya Faridatul Avisyah
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 7, No 1 (2024): February 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i1.10591

Abstract

The development and application of artificial intelligence is greatly influenced by the application of 5G mobile communication systems. In addition, applying 5G mobile communication systems in AI faces several challenges, such as the infrastructure to support 5G networks. By reviewing existing research and discovering issues and opportunities, this literature review aims to provide a comprehensive overview of recent advances in scalability and performance analysis of 5G networks for AI implementation. Research on 5G mobile communication systems has been conducted in health, environment, technology, and industry. The eight most commonly used methods in artificial intelligence research with 5G mobile communication systems are descriptive analysis, comparative studies, model development, case studies, regression models, literature studies, efficiency tests, and estimation techniques. However, the 5G mobile communication system in artificial intelligence technology still needs to be widely used, and its application in education still needs to be expanded. For some time, other researchers will be able to do this study.
Analysis of The Inter-subject and Inter-session Variability Phenomena Effect on the MI-EEG Datasets using The Brain Topographic Map Dio Alif Pradana
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 7, No 1 (2024): February 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i1.11999

Abstract

The development of existing diagnostic technology has resulted in the developing the Brain Computer Interface (BCI). BCI is expected to connect the human nervous system with the outside world to provide more efficient communication and control in human body. Motor Imagery (MI) is the type of brain signal that commonly used in BCI practice. MI allows us to be able to control the movement of certain limbs only by imaginative processes. Although the MI-EEG signal has great potential, MI signal processing is still difficult to be done. MI signal has abstract pattern, making it difficult to distinguish one type of movement from another, especially if the MI signal used is not only from one subject and at the same recording time. This phenomenon is called inter-subject and inter-session variability. Based on this problem, authors conducted a study using the WPT-CSP method. This method will decompose signals into multiple frequency bands, and then filtered using spatial filter to obtain a better temporal and spatial resolution for the MI signal. The results of this method are then displayed on the Brain Topographic Map (Topomap) to show the activity level of the brain regions. The dataset used in this study is dataset 2a from Brain-Computer Interface Competition (BCIC) IV. The results of the research show that the phenomenon of inter-subject and inter-session variability can be observed more easily using the Topomap. These results also indicate that a new method is needed to overcome this phenomenon.
Planning Of A 70 kW Solar Power Plant In Magersari Village Anggara Trisna Nugraha; Moch Fadhil Ramadhan; Muhammad Jafar Shiddiq
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 7, No 1 (2024): February 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i1.6032

Abstract

Magersari Village is one of the small villages on West Java, which is in the administrative area of Magersari Regency, this village has not been reached by the PLN electricity network, which causes disturbances for residents in carrying out activities at night. This study aims to utilize solar energy developed into electrical energy (solar power plant). One of the supporting factors this area produces is a very large solar energy potential with average daily insolation of 5.71 kWh/m²/day. In planning this solar power plant, several components consist of 376 housing units, 2 elementary school units, 3 village maternity hut units, and 1 unit of worship place. Based on the analysis and calculations results, the PV power generated to supply electrical energy in Magersari Village is 75,000 Watt Peak, generated by 375 PV modules, and the panel capacity is 200 Wp with 2 PV array placement area of 460 m². Battery Charger Regulator (BCR) used as many as 36 pieces with a capacity of 24V/80A. The number of batteries used is 219 pieces with a capacity of 24V/240Ah. The inverter used is 10 kW as many as 7 units with a voltage on the system that is 24V with a total initial investment cost for Solar Power Plant components of Rp.2,473,165,000,-
Prototype-Based Flood Detection Device Ultrasonic Sensor HC-SR04 And Using Lora SX1278 Case Study Gelam Sidoarjo Exsavator Dwiryanto Putra; Indah Sulistiyowati; Shazana Dhiya Ayuni
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 7, No 1 (2024): February 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i1.10096

Abstract

The prototype device is a flood detection tool based on an ultrasonic sensor HC-SR04 and using a LoRa SX1278 module. The device is designed for use in a flood case study in Gelam, Sidoarjo. The ultrasonic sensor measures the water level around the device, while the LoRa module transmits the water level data to a receiving device. With this device, it is expected that the surrounding community can monitor the water level in the area, thereby predicting the risk of floods and taking necessary preventive measures. The device can also help authorities make the right decisions in dealing with flood situations. However, it should be noted that this is a prototype device and still needs to be tested more widely to determine its accuracy in monitoring water levels and the reliability of the LoRa module in transmitting data.
Mobile Augmented Reality in Education : Recognition of Electronic Component / classroom learning technology / practical learning technology Hartawan Abdillah; Mas Ahmad Baihaqi; Dani Hari Tunggal Prasetiyo; Alief Muhammad
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 7, No 1 (2024): February 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i1.10167

Abstract

The introduction of components in the control system practicum utilizes Augmented Reality using cellular so that students know the types of PLC components that are displayed on cellular screens (smartphones). In this case a combination of real world objects such as PLC (Programable Logic Control) components and virtual objects in the form of text, animation, 3D models or computer-generated videos that will be displayed on smartphone screens so that students feel virtual objects in the practicum room. The test results from the detection of the electronic component objects tested included testing the distance, light intensity and covering some objects, the results of the analysis were almost entirely successful in detecting the object. Except in the dark light detection condition, the intensity cannot be determined. This is because, in a marker-based tracking method, identifying the marker pattern is the most important point. In dark conditions, the pattern obtained will be less than optimal so that in the matching process there will be marker errors, or even objects not identified as in the current experiment
Optimizing Gas Sensing Accuracy: Evaluating and Compensating TGS2602 Sensor Responses in Diverse Environmental Conditions Bima Romadhon; Citra Dewi Megawati; M. Abd Hamid; Ni Putu Agustini; Radimas Putra Muhammad Davi Labib; I Made Wartana
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 7, No 1 (2024): February 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i1.11867

Abstract

This research aims to investigate the TGS2602 gas sensor's response to variations in temperature and humidity, focusing on the analysis of concentration reading offsets influenced by environmental humidity fluctuations. The TGS2602 sensor demonstrates high sensitivity to hydrogen sulfide (H2S), making it relevant for gas monitoring in volcanic environments. However, the sensor's weakness lies in reading offsets triggered by changes in temperature and humidity. Calibration methods and mathematical analysis are employed to evaluate the sensor's performance. Testing is conducted by varying temperature and humidity in enclosed conditions, and the results indicate that temperature and humidity significantly affect gas concentration readings. As a solution, compensation methods, such as using temperature and humidity sensors and developing algorithms, are required to address reading offsets. This study provides insights into the reliability of the TGS2602 sensor in various environmental conditions and proposes compensation strategies to enhance gas measurement accuracy.

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