Journal of Informatics And Telecommunication Engineering
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373 research outputs found
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Utilization of Spiking Neural Network (SNN) in X-Ray Image for Lung Disease Detection
The large number of cases of lung disease means that doctors have difficulty in making initial diagnoses, making them prone to misdiagnoses. One type of lung disease that is included in the vulnerable category is pneumonia. Early detection of the condition of the lungs affected by bacterial pneumonia can be carried out by screening using the X-Ray examination modality, namely Digital Radiography (DR). However, in practice, the diagnosis process on Citra DR takes a long time because it requires competent medical personnel (specialists). A system is needed that can help medical personnel to speed up the process of diagnosing lung disease and get accurate results so that misdiagnosis does not occur. The aim of this research is to utilize the Spiking Neural Network (SNN) method for classifying lung disease from DR images. The system was created using MATLAB with the initial step of creating a read data program, namely reading DR image secondary data in .jpg format taken from Kaggle.com. This research uses DR image data totaling 200 images. Next, standardize the size to 50 x 50 pixels. Then segmenting the image divides the gray level histogram into two different parts of the image automatically without requiring user assistance to enter threshold values for normal and pneumonia images. Then convert the image to 1 dimension and create a manual program for the training data using 50 normal images and 50 pneumonia images. Lastly, create a program to test the data using 100 normal images and 100 pneumonia images. Based on the results of data testing, a confusion matrix was obtained from 200 images with sensitivity of 87%, specificity of 69%, precision of 73.7288%, recall of 69%, and accuracy of 78
Analysis of Power Quality in Low Voltage Switch Panels in Real-Time Based on IoT Using the Fuzzy Logic Method
This far power quality analysis from the PHBTR monitoring system is still done manually. This condition creates several challenges in efficiency and accuracy in detecting and responding to changes in PHBTR power quality. With manual processes, collecting and analyzing data related to power quality can be time consuming, and there is the potential for delays in identifying disturbances or anomalies that could affect PHBTR performance. Therefore, in this research an innovative step was taken by applying the fuzzy logic method to simplify and increase the accuracy of automatic power quality analysis. From the analysis results, it was found that the power quality at the MCC4, GRL2, and CKG116 substations when viewed from voltage, current, frequency, and temperature, the three substations were at normal indications (91.32) and in good condition (76.32). However, the load balance quality of the three substations is still not balanced with load imbalance percentages of 110%, 52% and 17% respectively. This is because there are consumers in one phase using higher power than consumers in another phase, so a load imbalance will occur. This can be caused by differences in the use of electrical equipment or loads on each phase. Through this effort, it is hoped that significant improvements in the efficiency and responsibility of the PHBTR monitoring system can be achieve
Analysis Of The Effectiveness Of Using Learning Media During The Covid-19 Period With The Multi-Attribute Utility Theory
Learning activities during the Covid-19 pandemic were carried out online with the aim of taking advantage of technological advances using online learning media. All high schools have implemented online learning, one of which is SMAN 1 Bukit Batu. This aims to ensure that the learning process is carried out remotely without having to meet in person. Online learning has advantages and disadvantages that can affect the achievement of learning objectives, especially in theoretical and practical PKOK subjects. So it is necessary to assess learning theory and practice of PJOK to determine the effectiveness of both. Research the use of 6 criteria and compare theoretical and practical PJOK learning models to determine the best model. The method used is Multi-Attribute Utility Theory (MAUT) with a quantitative approach where data collection is carried out through surveys. There were 193 respondents, namely all 12th grade students of SMAN 1 Bukit Batu as the population in this study. The results of calculations using the MAUT method on the effectiveness of using online learning media during the Covid-19 pandemic resulted in the choice of the Theory subject assessment (0) as the lowest assessment, while the Practice subject (0.32) was the highest assessment. This assessment states that online learning can be said to be effective for practical subjects, while theoretical subjects are more effective if done offlin
Bandwidth Enhancement of Microstrip Antenna Using Dual Feed Line with Array 2x1 element for Radar Applications
Radar communication systems are needed to predict weather and other military needs. One of the important parameters required for a radar communication system is an antenna with high performance and broad bandwidth that can improve the resolution. The research proposes a single patch microstrip antenna that is rectangular and has a 8 GHz resonance frequency for radar applications that have high bandwidth and performance. The antenna was developed with two dual feed lines connected to the peradiation element with the 2x1 element array technique aimed at increasing the bandwidth of the frequency. The antenna is designed using a FR-4 substrate with a tangent loss of 0.0265, a dielectric constant ( |r) = 4.3, a substrat thickness (h) = 1.6 mm. The dimensions of the rectangular single patch microstrip antenna substrata are 20x20 mm2 and 35x35 mm2 for the dual feed line antenna design. Simulation results from the antenna development showed a 159.62% increase in bandwidth compared to the original antenna design. The reflection coefficient also increased from the original design antenna, which was -16.36 dB, to -25.64 dB or an increase of 56.72%. This antenna is very suitable and recommended to be applied as a receiver antenna on radar communications system
Analysis Of The Role Of Blockchain Technology In Recording Motor Vehicle Ownership Data
The importance of the role of motor vehicles in human life is revealed through its transformation from a tertiary need to a secondary one. In Indonesia, the number of motor vehicles reached 136.191 million units in 2020, prompting the government to regulate registration and identification through Presidential Regulation No. 5 of 2015. This research addresses issues related to motor vehicle administration in Indonesia, focusing on transparency, data integrity, and information availability. Inspired by the rapid growth in the number of motor vehicles and the increasing cases of theft, this research aims to design and implement an innovative motor vehicle ownership recording system using blockchain technology. This approach aims to enhance the accessibility of information on the origin and ownership of vehicles or Vehicle Registration Numbers (VRN), which is currently limited in both manual and online forms. The research methodology involves the design and implementation of blockchain technology, tested to verify its effectiveness in achieving transparency and data security goals. The research results indicate that this system can provide more comprehensive and distributed information to the general public, overcoming the limitations of centralized systems. The conclusion of this research affirms that the application of blockchain technology can be an innovative and effective solution to improve motor vehicle administration. The implications of this research include increased efficiency, security, and availability of information in handling vehicle administration, potentially having a positive impact on the general public and related industrie
The Barriers of Using Video Games as a Media for Teaching and Learning Purposes: A Case Study in Indonesia
The 21st century has seen the remarkable growth of the video game industry, which has surpassed other entertainment sectors in terms of financial value. The COVID-19 pandemic further emphasized the importance of video games as a means of socialization and entertainment. However, despite their potential in education, the adoption of video games as a learning media faces numerous barriers. This study explores these barriers, particularly in the context of Indonesia, a country with a burgeoning video game culture. The research uses a mixed-methods approach, including qualitative interviews and quantitative surveys with stakeholders such as parents, teachers, students, and government officials. The findings reveal several key barriers to adopting video games in formal education in Indonesia. There is an inherent mistrust of video games among Indonesians, which makes the use of video games as a learning media challenging. There is a lack of video games designed for educational purposes suitable for Indonesia's formal education system. The lack of government support for video games as learning media also becomes an issue. We suggest collaboration between local game developers and education practitioners could help design video games that balance gameplay mechanics and educational content. Successful case studies of video games in education can potentially change negative perceptions among teachers, parents, and students. In addition, government support and recognition of video games as valid learning media are essential for wider adoption in Indonesia's formal education system. Future research should focus on developing and adopting video games specifically designed for educational purposes to address these barriers effectivel
SIMPEDAK: Mobile-based Active Blood Donor Information
Palang Merah Indonesia (PMI), especially East Lombok Regency, is one of the main forces in providing blood stocks for patients in every hospital. However, there is a lack of voluntary blood donors so far, information about blood needs is only via online media, WhatsApp and Instagram groups. This research aims to produce a mobile-based Active Blood Donor Information System (SIMPEDAK) in East Lombok Regency, and determine the feasibility of material experts, media experts and user responses. This type of research is research and development using the waterfall model starting from the analysis, design, code & testing, implementation, maintenance stages. The subjects in this study were 46 people consisting of 20 PMI members, 16 students and 10 members of the general public or patient families to determine user responses. Data collection techniques use questionnaires and data analysis uses quantitative descriptive. The results of our findings are in the form of a mobile-based SIMPEDAK application or system. The results of the feasibility test for material experts were 92.75% (very feasible) and the results of the feasibility test for media experts were 96.66% (very feasible). Meanwhile, user response results received a score of 81.72% (very good). Thus, it can be concluded that this application is very suitable for use and has a high response as a mobile-based SIMPEDAK among blood donors and the wider community
Oceanographic Parameter Measurement System Based on LoRA Communication Module
Measurement of oceanographic parameters is needed to determine the condition of the ecosystem in the water area so that it can be the basis for carrying out conservation activities in marine waters. Measurement of physical and chemical parameters used manually which causes the data obtained is still susceptible to observational errors. In this study, a system was designed that can measure oceanographic parameters periodically. The designed system consists of a temperature sensor, turbidity sensor, pH sensor and TDS sensor integrated with a microcontroller device. The system consists of two main parts, a sensor node that has a function as a transmitter and a gateway that has a function as a receiver. Initial testing is done by calibrating and validating data for each sensor used. The next test was carried out by testing the transmission of data from the measurement of oceanographic parameters in the form of water pH, salinity, water temperature and water turbidity from the sensor node to the gateway using the LoRA Ebyte E220 communication module. The test results show that the sensor node measurement data can be sent to the gateway by setting the distance between devices as far as 500 meters. The resulting data transmission delay is in the range of 2-10 second
High Gain Plannar Series Array 8x2 Element Microstrip Antenna Using Spiral Stub For 5G Communication System
Sistem komunikasi 5G membutuhkan antena sebagai perangkat penerima yang memiliki kinerja tinggi termasuk bandwidth yang lebar dan gain yang tinggi. Antena mikrostrip mempunyai kelebihan seperti biaya yang murah, cocok untuk frekuensi tinggi dan mudah diintegrasikan dengan perangkat lain. Salah satu kelemahan antena mikrostrip adalah gain yang rendah. Oleh karena itu, antena mikrostrip dengan gain tinggi sangat dibutuhkan untuk mendukung sistem komunikasi 5G. Penelitian ini memberikan solusi dengan mengusulkan antena mikrostrip dengan gain tinggi yang beroperasi pada frekuensi resonansi 3,5 GHz untuk sistem komunikasi 5G. Antena usulan dikembangkan dalam lima tahap dimulai dari satu elemen, susunan seri dua elemen, susunan seri 4 elemen, susunan seri 8 elemen dan susunan seri plannar 8x2 elemen. Teknik susunan seri plannar dan menggunakan spiral stub pada line feed serta slit diusulkan untuk meningkatkan gain antena mikrostrip. Dalam tulisan ini, simulasi dan pengukuran dari antena usulan ditampilkan dan dibandingkan secara komprehensif untuk menunjukkan peningkatan kinerja dari setiap tahap pengembangan model usulan. Berdasarkan hasil pengukuran, antena yang dirancang memiliki gain maksimum sebesar 13,08 dB pada frekuensi resonansi 3,5 GHz. Gain antena masing-masing meningkat 118 % dibandingkan dengan antena elemen tunggal. Oleh karena itu, antena usulan ini dapat direkomendasikan untuk digunakan sebagai antena penerima sistem komunikasi 5
Improving 2100 MHz Cellular Connectivity in Wonokerso, Sragen: Comprehensive Insights from MIMO Antenna Variation Analysis
This research discusses 4G-LTE cellular network coverage planning in Wonokerso, Sragen, Central Java, at the 2100MHz frequency by comparing MU-MIMO and SU-MIMO. The growing demand for connectivity is driving a thoughtfulapproach to network development. MU-MIMO uses multiple antennas to increase throughput, while SU-MIMO relieson one antenna per user. The analysis results show that the average signal level (coverage by signal level) for SUMIMO and MU-MIMO in signal strength is -87.88 dBm and -87.77 dBm, respectively. The standard deviation for SUMIMO and MU-MIMO is 9.84 dBm and 14.34 dBm, respectively. In the effective SU-MIMO and MU-MIMO signals, the signal strength gets the same value of -119.36 dBm. The standard deviation for SU-MIMO and MU-MIMO is 7.3 dBmand 7.28 dBm, respectively. On average, the C/(I+N) SU-MIMO and MU-MIMO ratios for signal strength get values of7.75 dB and 7.41 dB, respectively. The standard deviation for SU-MIMO and MU-MIMO is 5.5 dB and 5.15 dB,respectively. And for SU-MIMO and MU-MIMO signal throughput, the signal strength gets a value of 30,455.75 kbpsand 24,731.04 kbps, respectively. The standard deviation for SU-MIMO and MU-MIMO is 28,192.34 kbps and 17,057.9kbps, respectively. Overall, SU-MIMO tends to provide lower but more consistent signal levels, whereas MU-MIMOexhibits a slightly higher average signal level with greater variatio