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  Subjects -> ELECTRONICS (Total: 207 journals)
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Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Number of Followers: 7  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2503-2259 - ISSN (Online) 2503-2267
Published by Universitas Muhammadiyah Malang Homepage  [22 journals]
  • PID Controllers Performance On Dual Axis Tracking With Tetrahedron Based
           Sensor

    • Authors: Melinda; Andri Novandri, Yuwaldi Away
      Abstract: This study compares control systems applied to a dual-axis tetrahedron-based sensor tracker. A tetrahedron-based sensor is a tracking sensor that can detect the coordinates of a light source. This study aims to determine a control system that can control sensors with high accuracy and precision and has a fast-tracking ability. Tests are carried out periodically by providing light at certain coordinates. After carrying out the testing and analysis process, it is concluded that the P controller is a better control system than the other controllers. This controller can control sensors with high accuracy and precision compared to PI, PD, and PID control systems. The P controller can also control the sensor to move towards the light coordinates with a travel time of 1.6 seconds on the X-axis and 3.1 seconds on the Y-axis, with a MAE value of 1.1 on the X-axis and 0.3 on the Y-axis. While the RSME value obtained is 1.33 on the X-axis and 0.55 on the Y-axis.
      PubDate: Sat, 26 Nov 2022 00:00:00 +000
       
  • Bibliometrics Analysis and Research Profiling to Solve User Experience
           Overload Information

    • Authors: Wahyu Andhyka Kusuma; Azrul Hazri bin Jantan, Rusli bin Abdullah, Novia Indriaty Admodisastro, Noris binti Mohd Norowi, Evi Dwi Wahyuni, Siti Alfiyatun Ni’mah
      Abstract: Today's technology is not just a tool to help humans perform complex tasks but has an impact on the revolutionary changes in human thought and behavior as well as culture and societal civilization that we need to know and follow, such as the current development of UX design, UX is a type of work-related to how to increase the satisfaction of application users and site visitors seen from the value for benefits, also the pleasure that the user gets from an application or site. UX is also a pattern that requires the industry and researchers to think that the human factor is more than just maintaining the user's functional needs, moreover, UX brings the concept that the user is a user. UX research is needed on the relationship between systems and interactive experiences learning about cross-disciplinary research experiences using large-scale research profiling studies and bibliometric analysis. People who use systems experiences are becoming more and more important, and because of this, interactive technologies are becoming more and more important in these experiences. Research studies show that the number of publications is growing rapidly indicating a growing scientific interest in experiential research.
      PubDate: Mon, 14 Nov 2022 00:00:00 +000
       
  • Image Captioning using Hybrid of VGG16 and Bidirectional LSTM Model

    • Authors: Yufis Azhar; M. Randy Anugerah, Muhammad Al Reza Fahlopy, Alfin Yusriansyah
      Abstract: Image captioning is one of the biggest challenges in the fields of computer vision and natural language processing. Many other studies have raised the topic of image captioning. However, the evaluation results from other studies are still low. Thus, this study focuses on improving the evaluation results from previous studies. In this study, we used the Flickr8k dataset and the VGG16 Convolutional Neural Networks (CNN) model as an encoder to generate feature extraction from images. Recurrent Neural Network (RNN) uses the Bidirectional Long-Short Term Memory (BiLSTM) method as a decoder. The results of the image feature extraction process in the form of feature vectors are then forwarded to Bidirectional LSTM to produce descriptions that match the input image or visual content. The captions provide information on the object’s name, location, color, size, features of an object, and surroundings. A greedy Search algorithm with Argmax function and Beam-Search algorithm are used to calculate Bilingual Evaluation Understudy (BLEU) scores. The results of the evaluation of the best BLEU scores obtained from this study are the VGG16 model with Bidirectional LSTM using Beam Search with parameter K = 3 and the BLEU-1 score is 0.60593, so this score is superior to previous studies.
      PubDate: Thu, 10 Nov 2022 00:00:00 +000
       
  • Optimization Improvement Using Pi Controller to Reach CCCV Method in Lead
           Acid Battery Load

    • Authors: Irianto; Rachma Prilian Eviningsih, Farid Dwi Murdianto, Amir Muhyidin
      Abstract: Solar energy can produce electrical energy with the help of photovoltaics so as to produce sufficient or even excessive supply to the electrical load. Therefore, it is necessary to store electrical energy (battery) from the excess unused energy. However, in the process of charging the battery, it takes a long time to fully charge the battery capacity and damage often occurs due to excessive voltage used. This can reduce battery life. The characteristics of the battery need to be considered so that the charging process can be carried out in accordance with the required provisions. The existence of the CCCV method can speed up the battery charging process with a constant current of 20% of the nominal current of the lead acid battery. To avoid overvoltage, the constant voltage method can anticipate the occurrence of damage. Utilization CUK Converter as charging can reduce output voltage ripple. The PI control on the CUK Converter produces a constant voltage of 13.8 Volts and a constant current of 1.44 Ampere. The average error generated by this system is 0.14%.
      PubDate: Mon, 07 Nov 2022 00:00:00 +000
       
  • The Design of DC Micro Grid with a Load-Based Battery Discharge Method for
           Remote Island Electrification Utilizes Marine Currents and Solar
           Photovoltaic

    • Authors: Faanzir; Mochamad Ashari, Soedibyo, Suwito, Umar
      Abstract: This paper presents the design of DC micro grid with a load-based battery discharge method for remote island electrification utilising marine currents and solar photovoltaic. To anticipate the intermittent, a load-based battery discharge method is proposed. A centralized battery storage is sized according to the unfilled load demand by the marine current and the solar PV. Thus, the length of the turbine diameter is varied to meet the optimum system size. Hourly data of marine current speed from Cipalulu Strait in Maluku, Indonesia is provided. Data at a typical time, shows that the marine current peak power occurs every 6 hours perday, whereas the PV is at noon. The loads divide into 6 categories, including household 1, household 2, villagse office, school, mosque, and public health center with the peak demand as 112 kW and 856 kWh perday. All loads, mainly for lightings and electronic equipment work in 24 V DC through converters. The distribution network employs 320 V DC connecting from the power plan to the community residents. Simulations demonstrate that the battery size, solar PV, and turbine radius matches to meet the loads. Simulations also show that the battery utilization meets its current and capacity, meaning that an optimum size and filling the load profile can be smoothly conducted.
      PubDate: Mon, 07 Nov 2022 00:00:00 +000
       
  • Game Development "Kill Corona Virus" For Education About Vaccination Using
           Finite State Machine and Collision Detection

    • Authors: Andi Andi; Juan Charles, Octara Pribadi, Carles Juliandy, Robet
      Abstract: COVID-19 is a disease caused by the coronavirus and causes the main symptoms in the form of respiratory problems. One way to overcome the COVID-19 pandemic is through the vaccination process. However, in practice, the public is still not educated about the importance of vaccination in preventing coronavirus infection, so it is necessary to develop a game that provides education to the public to vaccinate. This study chose games as educational media because there are many game enthusiasts and the delivery of education through games is more memorable than on other platforms. This study uses the Game Development Life Cycle (GDLC) method in the game development stage. In addition, to create intelligent coronavirus enemy NPC characters in this study, Finite State Machine (FSM) and Collision Detection methods will be implemented to detect the accuracy of players' shots. The results were obtained in the form of a game "Kill Corona Virus" which is used as a medium of education for the public about the importance of vaccination. Based on the results of the tests carried out, it was found that the implementation of the Collision Detection method in the game in detecting collisions was appropriate and quite accurate and the Finite State Machine method succeeded in creating coronavirus enemy NPCs with appropriate states. In addition, based on the results of processing respondents' answers, it is known that the ”Kill Corona Virus” game that was built can convey vaccination education messages well and make people interested in vaccinating.
      PubDate: Tue, 01 Nov 2022 00:00:00 +000
       
  • Adoption of Mobile Learning at Universities Using the Extended Technology
           Acceptance Model

    • Authors: Misbahul Aziz; Edwin Pramana, Hartarto Junaedi
      Abstract: This study aims to contribute to the proof of factors likely to determine the success of M-learning adoption based on previous research. This is done because there are many different theoretical models proposed. However, there is not yet a model that can be generally accepted as an established theoretical model for the adoption of M-learning in universities. This research is expected to make a significant contribution to the development of a better theoretical understanding of the determinants that influence the adoption of M-learning using the Technology Acceptance Model (TAM). To collect the data, researchers distributed questionnaires to respondents using google forms. Forms are distributed via WhatsApp and Telegram. The data used was 515 M-learning users. Theoretical model research was carried out with Structural Equation Model (SEM) analysis, then SPSS and Amos as support for analysis. There are six factors that determine the results of acceptance of M-leaning adoption in this study, namely Social Influence, Perceived Enjoyment, Facilitating Condition, Self-Efficacy, Perceived Usefulness, and Perceived Ease of Use. The five factors that show positive and significant relationships are Social Influence, Perceived Enjoyment, Self-Efficacy, Perceived Usefulness, and Perceived Ease of Use. Perceived Usefulness has the first strongest positive and significant value, and then Social Influence has the second strongest value. Each factor has a medium influence value on Behavioral Intention. That factor is the most influential in the application of M-learning in universities.
      PubDate: Tue, 01 Nov 2022 00:00:00 +000
       
  • Robot Ankle Foot Orthosis with Auto Flexion Mode for Foot Drop Training on
           Post-Stroke Patient in Indonesia

    • Authors: Dimas Adiputra; Ph.D, Ubaidillah, Ully Asfari, Hari Sulistiyo Budi Waspada, Reza Humaidi, Bagas Wahyu Prakoso, Andi Nur Halisyah
      Abstract: Robot Ankle Foot Orthosis (AFO) has been proven to assist the gait impairment, such as the foot drop. However, development challenge is still remains, such as the trade-off between complexity, functionality and cost. High functionality resulted in high cost, bulky, and complex device. But affordability and simplicity may decrease functionality. Therefore, this research proposed a robot AFO, which has the necessary function of auto dorsi-plantarflexion so it can keep the affordability and simplicity. The robot AFO consists of structure, electronics part and algorithm. The structure is custom made according to the user’s anatomy. A brushless DC (BLDC) motor, Force-Sensing Resistor (FSR) and microcontroller builds the electronic parts. The BLDC motor actuates the flexion, while the FSR detects the gait phase to determine the action. Both are integrated by the microcontroller with the P control algorithm that commands the BLDC motor to generate necessary torque so it rotates in a constant speed. A functionality test has been carried out on the robot AFO, where the robot AFO perform a dorsi-plantarflexion continuously in three conditions, such as no load, 1 Kg load, and foot load. The robot AFO successfully performed a constant velocity rotation in both directions, in all conditions. In the case of 1 Kg load, the maximum angular speed is 0.7 rad/s dorsiflexion and -1.8 rad/s plantarflexion. The torque keeps increasing and decreasing from -0.3 Nm to 4 Nm to keep the angular velocity. The result shows that the robot AFO can perform the necessary function to assist the foot drop training. Functionality test on the gait detection has also been done where it shows that the robot AFO can detect the four gait phases accurately. The robot AFO has been tested and future study should test the robot on a real post-stroke patient to see the effect of the gait control in reality.
      PubDate: Tue, 01 Nov 2022 00:00:00 +000
       
  • Electronic Medical Record Data Analysis and Prediction of Stroke Disease
           Using Explainable Artificial Intelligence (XAI)

    • Authors: Yuri Pamungkas; Adhi Dharma Wibawa , Meiliana Dwi Cahya
      Abstract: The deficiency of oxygen in the brain will cause the cells to die, and the body parts controlled by the brain cells will become dysfunctional. Damage or rupture of blood vessels in the brain is better known as a stroke. Many factors affect stroke. These factors certainly need to be observed and alerted to prevent the high number of stroke sufferers. Therefore, this study aims to analyze the variables that influence stroke in medical records using statistical analysis (correlation) and stroke prediction using the XAI algorithm. Factors analyzed included gender, age, hypertension, heart disease, marital status, residence type, occupation, glucose level, BMI, and smoking. Based on the study results, we found that women have a higher risk of stroke than men, and even people who do not have hypertension and heart disease (hypertension and heart disease are not detected early) still have a high risk of stroke. Married people also have a higher risk of stroke than unmarried people. In addition, bad habits such as smoking, working with very intense thoughts and activities, and the type of living environment that is not conducive can also trigger a stroke. Increasing age, BMI, and glucose levels certainly affect a person's stroke risk. We have also succeeded in predicting stroke using the EMR data with high accuracy, sensitivity, and precision. Based on the performance matrix, PNN has the highest accuracy, sensitivity, and F-measure levels of 95%, 100%, and 97% compared to other algorithms, such as RF, NB, SVM, and KNN.
      PubDate: Tue, 01 Nov 2022 00:00:00 +000
       
  • Performance Evaluation of LoRa in Farm Irrigation System with Internet of
           Things

    • Authors: Kurniawan Dwi Irianto
      Abstract: Long Range (LoRa) Communication is one of the emerging Internet of Things (IoT) technologies and has been widely discussed by researchers. LoRa is also part of the Low Power Wide Area Networks (LPWAN) technology where this technology focuses on communication systems on energy efficiency, wide coverage, low data rates, and long battery life. LoRa uses industrial, scientific, and medical (ISM) radio frequencies. These frequencies can be used for free without paying for a license. Theoretically and under ideal conditions, the LoRa range can reach < 3 km in urban areas and > 3 km in rural areas. However, only a few studies discuss the evaluation and analysis of LoRa performance, which is implemented in the real world with particular case studies. This article aims to evaluate and analyze the performance of LoRa, which is applied to a case study of an IoT-based agricultural irrigation system. Several parameters will be assessed and analyzed, including distance, received signal strength indication (RSSI), spreading factor, coding rate, power transmission, and packet delivery ratio (PDR). Experimental and measurement results show that LoRa can transmit data packets up to a distance of 2.5 km but with a very low PDR rate of around 5-7%. The results also show that LoRa can work optimally if the distance is > 1 km with a PDR rate of about 70-100%.
      PubDate: Tue, 01 Nov 2022 00:00:00 +000
       
 
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