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INDONESIA
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING
Published by Universitas Medan Area
ISSN : 25496247     EISSN : 25496255     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
JURNAL TEKNIK INFORMATIKA, JITE (Journal of Informatics and Telecommunication Engineering) is a journal that contains articles / publications and research results of scientific work related to the field of science of Informatics Engineering such as Software Engineering, Database, Data Mining, Network, Telecommunication and Artificial Intelligence which published and managed by the Faculty of Informatics Engineering at the University of Medan Area .
Arjuna Subject : -
Articles 412 Documents
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Combination of Image Enhancement and U-Net Architecture for Cervical Cell Semantic Segmentation Rudiansyah, Rudiansyah; Iryani, Lemi; Kesuma, Lucky Indra; Sari, Puspa; Alamsyah, Agung
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10399

Abstract

Cervical cancer is the second leading cause of death in women and ranks fourth as a disease that occurs in women worldwide. Cervical cancer is a disease that is difficult to detect and can be detected when it is in an advanced stage. This requires early prevention by carrying out a pap-smear examination. Pap-smear examination manually requires a relatively long time, so a tool is needed by segmentation. Segmentation is image processing by performing perfection between the intended object and the background. One of the CNN methods commonly used in medical image segmentation is the U-Net architecture. Segmentation in this study was carried out on the nucleus and cytoplasm of the Herlev dataset using the U-Net architecture combined with data augmentation and image enhancement. In the learning process, this research resulted in a fairly high IoU value of 78% and an RMSE close to 20%. The results of this study also yielded an accuracy value of 89%, with an average precision, recall and F1 score of 89%, 89% and 88.67%, respectively. This shows that the combination of the CNN U-Net architecture with image quality improvement and data augmentation is quite good at segmenting cervical cells for the nucleus and cytoplasm
Bandwidth Enhancement of Microstrip Antenna Using Dual Feed Line with Array 2x1 element for Radar Applications Kuswanto, Hery; Alam, Syah; Surjati, Indra
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10409

Abstract

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 systems
Performance Analysis of 4x4 MIMO and 8x8 MIMO Antena Implementation of Private 5G Networks in Industrial Area Wulandari, Asri; Supriyanto, Toto; Hasna, Akita; N, Raviadin N; Hikmaturokhman, Alfin
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10440

Abstract

Private 5G represents a promising wireless network technology that offers a wide range of opportunities for mobile operators. It enables them to meet the increasing data demands of their customers and provide enhanced capacities and user experiences. However, before deploying Private 5G, it's crucial to prepare the foundation properly, especially when choosing the right antena and Radio Frequency (RF) band. This research project focuses on evaluating the implementation of 4x4 MIMO and 8x8 MIMO antenas in the Greater Jakarta industrial area, covering a 35 km2 area, operating at a frequency of 2300 MHz with a 40 MHz bandwidth. The study involved data rate measurements and determined the number of required sites based on different modulation schemes. The findings revealed that using an 8x8 MIMO antena resulted in a data rate twice as high as that achieved with a 4x4 MIMO antena and required only a quarter of the sites. Additionally, simulation results demonstrated that the 8x8 MIMO antena provided better SS-RSRP and SS-SINR values compared to the 4x4 MIMO antena, with values of -91.51 dBm and 8.52 dB
Performance Comparison Between Laravel and ExpressJs Framework Using Apache JMeter Mangapul Siahaan; Wijaya, Ricky Wijaya
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10571

Abstract

Modern web application development requires selecting an optimal framework to ensure maximum efficiency and performance. This research compares two leading frameworks, Laravel (using PHP) and Express.js (using JavaScript), in the context of building RESTful APIs. The purpose of this research is to compare the performance of Laravel and Express.js through performance testing, with a focus on the API response to student data access in the MySQL database. The research method used is performance testing which involves realistic test scenarios and performance metrics such as response time. The research results provide a deep understanding of the performance advantages and disadvantages of Laravel and Express.js in API development. This research helps developers choose a framework that suits project needs, considering efficiency and speed in developing RESTful APIs. The test results show the superiority of the Laravel framework with an average response time of 1745.7 ms faster than Express.js. This Laravel is better suited for applications with high concurrent user access, while Express.js is a good choice for applications with a lower number of simulated users. Framework selection must consider both response speed and specific application needs and consider the specifications of the server used. The implication of this research can help developers optimize web application development, increase efficiency, and ensure maximum performance according to the project goals
Prediction Stunting Analysis Using Random Forest Algorithm and Random Search Optimization Reza, Achmad Aria Reza; Muhammad Syaifur Rohman
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10628

Abstract

Stunting is a nutritional problem experienced by toddlers, characterized by a height below the average. This condition arises due to various factors, one of which is the nutritional issues faced by toddlers. Stunting cases in Indonesia are relatively high, reaching 21.6% in 2022, indicating a significant prevalence of stunting. The identification of stunting is carried out through a data mining approach, deemed more efficient. However, the classification algorithm in data mining often encounters data imbalance, leading to low accuracy and inaccurate prediction results. To address this, the study employs the Random Forest algorithm with optimization using the random search method. The test results demonstrate that Random Forest achieves a relatively high accuracy of 90.7%. After optimization using random search, accuracy further increases to 96.33%. The combination of the algorithm and optimization proves to be highly effective, resulting in a 5.63% increase in accuracy. These findings hold crucial implications in supporting decisions for preventing stunting in toddlers. This research serves as a valuable source of information for the Health sector in identifying and implementing more effective strategies for stunting prevention. The use of the Random Forest algorithm optimized with random search proves to be an efficient solution in addressing data imbalance
Utilization of Spiking Neural Network (SNN) in X-Ray Image for Lung Disease Detection Ningtias, Diah Rahayu; Rofi’i, Mohammad; Pramudita, Brahmantya Aji
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10671

Abstract

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%
Sentiment Analysis Classification Of Political Parties On Twitter Using Gated Recurrent Unit Algorithm And Natural Language Processing Andriawan, Ahmad Rizky; Mustakim, Mustakim; Novita, Rice
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10709

Abstract

General elections cannot be separated from the issue of political parties. The issue can be in the form of surveys to sentiment. The results of the current survey need to be done in-depth validation related to the truth. Sentiment analysis aims to validate the truth of the survey institution. There are 5 political parties used as datasets in this study, namely Partai Demokrasi Indonesia Perjuangan Party (PDIP), Gerakan Indonesia Raya Party (Gerindra), Golongan Karya Party (Golkar), Partai Kebangkitan Bangsa Party (PKB), and Nasional Demokrat Party (Nasdem). The Gated Recurrent Unit (GRU) algorithm is implemented in this research as an experiment in data calculation. Based on the results of the GRU algorithm calculation in calculating sentiment on political parties, it produces the highest data at 56.50% accuracy, 72.76% precision, and 100% recall
Modeling Of Hyperparameter Tuned RNN-LSTM and Deep Learning For Garlic Price Forecasting In Indonesia Azhari, Irmawati Carolina; Haryanto, Toto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10714

Abstract

In the Indonesian garlic industry, the unpredictability of garlic prices poses a substantial challenge, impacting the sector's stability and growth. This research aims to address this issue by developing a highly accurate predictive model using a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The study employs a dataset spanning 782 days, meticulously divided with 80% dedicated to training and 20% to testing. The model, equipped with 50 LSTM units, undergoes intensive training over 100 epochs, with a batch size of 5. Its effectiveness is evaluated using the Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE), revealing exceptional predictive capabilities. The model achieves a low RMSE and MAPE in both training and testing phases, underscoring its accuracy and reliability in forecasting garlic prices. These results indicate not only the success of the RNN-LSTM model in capturing the complex patterns of price fluctuations but also highlight the potential of machine learning in enhancing time series analysis. This breakthrough offers significant implications for stakeholders in the garlic industry, providing a powerful tool for informed decision-making and strategic market planning, thereby contributing to the sector's sustainable development and stability
Analysis of Power Quality in Low Voltage Switch Panels in Real-Time Based on IoT Using the Fuzzy Logic Method Rahmawati, Yosy; Fadhilla , Karima Langgeng; Kadarina , Trie Maya
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10750

Abstract

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 achieved
Analysis of Student Satisfaction Levels with Computer Laboratory Services with a Fuzzy Service Quality Approach Diana, Elviza; Kurniah, Reni
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 1 (2024): Issues July 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i1.10762

Abstract

Quality of education provided Prof. University DR. Hazairin, SH Bengkulu, is a higher education institution that is committed to providing the best service to its students, including computer laboratory services. Computer laboratory services have an important role in supporting student learning and research, therefore, it is important to measure and analyze the level of student satisfaction with this service. In measuring the level of student satisfaction with computer laboratory services using the Fuzzy Service Quality approach method. This approach allows us to understand the complexity and diversity of students' views on service quality, which are often difficult to measure with conventional approaches. By using the Fuzzy Service Quality model, we can describe the level of student satisfaction more accurately, identify areas that need improvement, and increase the effectiveness and efficiency of computer laboratory services. Based on the research results, it was concluded that all aspects had a score above 3, which means student satisfaction with computer laboratory services has been met well. The highest score from all aspects is the cool and comfortable computer laboratory room and the lowest is 3.90 while the lowest is 2.77 for the Computer Laboratory service providing academic information and non-academic services in the form of a website (online). The reliability aspect (reliability of lecturers, and academic staff) has the highest reliable value of 0.916. Based on the results of Servqual and Logical Fuzzy data analysis, a high GAP value was found in students' perceptions and expectations regarding computer laboratory services providing academic information and non-academic services in the form of websites (online).

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