Elevating the quality of learning is central to ensuring academic programs align with national standards. One crucial aspect of this process is the semester-based learning planning. Traditionally, the Department of Computer Science orchestrates this planning by creating separate documents for various data points, including courses, CPL (Graduate Learning Outcomes), and CPMK (Course Learning Outcomes), which are then integrated into the RPS (Semester Learning Plan) document each term. This study seeks a solution to enhance the efficiency of such data management through the development of an admin module. The system, designed using the Rapid Test Development (RAD) approach and the Laravel framework, offers a more effective data management solution, subsequently elevating the pedagogical quality of the Department of Computer Science. In conclusion, an integrated approach to data management can make a significant contribution to educational quality. Through this research, the scholarly contribution provided is the introduction of a systematic model in educational data management to boost the efficiency and effectiveness of the learning process in higher education institutions
{"title":"Quality Management System Admin Module Development: A Study in the Department of Computer Science","authors":"Anggie Tamara, Didik Kurniawan, Tristiyanto Tristiyanto, Dwi Sakethi","doi":"10.24042/ijecs.v3i1.17914","DOIUrl":"https://doi.org/10.24042/ijecs.v3i1.17914","url":null,"abstract":"Elevating the quality of learning is central to ensuring academic programs align with national standards. One crucial aspect of this process is the semester-based learning planning. Traditionally, the Department of Computer Science orchestrates this planning by creating separate documents for various data points, including courses, CPL (Graduate Learning Outcomes), and CPMK (Course Learning Outcomes), which are then integrated into the RPS (Semester Learning Plan) document each term. This study seeks a solution to enhance the efficiency of such data management through the development of an admin module. The system, designed using the Rapid Test Development (RAD) approach and the Laravel framework, offers a more effective data management solution, subsequently elevating the pedagogical quality of the Department of Computer Science. In conclusion, an integrated approach to data management can make a significant contribution to educational quality. Through this research, the scholarly contribution provided is the introduction of a systematic model in educational data management to boost the efficiency and effectiveness of the learning process in higher education institutions","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139367720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.24042/ijecs.v3i1.18252
Shahnaz Salsabila Ishak, Michael Abednego, Dian Maya Sari, Viyonisa Syafa Sabila, Khoirunnisa Khoirunnisa, Mika Alvionita, Luluk Muthoharoh
The Consumer Price Index is one of the indicators used to confirm financial success in inflation management. This study aims to help determine the CPI prediction value in Indonesia for the next twelve periods in a month using the ARIMA (Autoregressive Integrated Moving Average) method using the data from January 2015 to March 2022. The results obtained show that the best model that can be used for forecasting is the ARIMA model (2,1,2) with drift with Akaike's Information Criterion (AIC) values of 2190.84. The results of Indonesia's accurate CPI forecasting can be used to assess inflation management for policymaking in the context of controlling inflation.It can be concluded that Based on the analysis, the optimal ARIMA model for forecasting Indonesia's CPI is ARIMA (2,1,2) with drift, aiding in evaluating inflation management for policymaking
消费者价格指数是用来确认通货膨胀管理财务成功的指标之一。本研究旨在利用2015年1月至2022年3月的数据，使用ARIMA(自回归综合移动平均)方法，帮助确定印度尼西亚未来12个月的CPI预测值。结果表明，具有漂移的ARIMA模型(2,1,2)是预测的最佳模型，赤池信息准则(Akaike’s Information Criterion, AIC)值为2190.84。印度尼西亚准确的CPI预测结果可用于评估通货膨胀管理，为控制通货膨胀的政策制定提供参考。通过分析可知，预测印尼CPI的最优ARIMA模型为带有漂移的ARIMA(2,1,2)，有助于评估通胀管理，为政策制定提供依据
{"title":"Indonesian Consumer Price Index Forecasting Using Autoregressive Integrated Moving Average","authors":"Shahnaz Salsabila Ishak, Michael Abednego, Dian Maya Sari, Viyonisa Syafa Sabila, Khoirunnisa Khoirunnisa, Mika Alvionita, Luluk Muthoharoh","doi":"10.24042/ijecs.v3i1.18252","DOIUrl":"https://doi.org/10.24042/ijecs.v3i1.18252","url":null,"abstract":"The Consumer Price Index is one of the indicators used to confirm financial success in inflation management. This study aims to help determine the CPI prediction value in Indonesia for the next twelve periods in a month using the ARIMA (Autoregressive Integrated Moving Average) method using the data from January 2015 to March 2022. The results obtained show that the best model that can be used for forecasting is the ARIMA model (2,1,2) with drift with Akaike's Information Criterion (AIC) values of 2190.84. The results of Indonesia's accurate CPI forecasting can be used to assess inflation management for policymaking in the context of controlling inflation.It can be concluded that Based on the analysis, the optimal ARIMA model for forecasting Indonesia's CPI is ARIMA (2,1,2) with drift, aiding in evaluating inflation management for policymaking","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135155893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.24042/ijecs.v3i1.16524
Khairan Marzuki, Muhammad Idham Kholid, I Putu Hariyadi, Lalu Zazuli Azhar Mardedi
Proxmox has a feature that can build a private network in it. Each host on a private network on Proxmox generally shares physical resources, including network connections using a virtual network, one of which is a VLAN. The Proxmox server supports Open VSwitch as a virtual switch. Open virtual switch, an alternative virtual switch quite popular among cloud developers, can be a solution for managing traffic between Virtual Machins and external communications. The method used in this study is the Network Development Life Cycle (NDLC). After applying the automation engine using Ansible, it overcame the problem, namely speeding up configuration and reducing human error or errors in configuring virtual networks. The automation system can speed up the virtual network management process compared to the manual method based on 5 (five) experiments, namely when the manufacturing operation has an average time of 08 minutes and 42 seconds faster. Whereas when the addition operation has an average faster time of 08 minutes 17 seconds. On the other hand, when the deletion operation has an average time of 42 seconds faster.
{"title":"Automation of Open VSwitch-Based Virtual Network Configuration Using Ansible on Proxmox Virtual Environment","authors":"Khairan Marzuki, Muhammad Idham Kholid, I Putu Hariyadi, Lalu Zazuli Azhar Mardedi","doi":"10.24042/ijecs.v3i1.16524","DOIUrl":"https://doi.org/10.24042/ijecs.v3i1.16524","url":null,"abstract":"Proxmox has a feature that can build a private network in it. Each host on a private network on Proxmox generally shares physical resources, including network connections using a virtual network, one of which is a VLAN. The Proxmox server supports Open VSwitch as a virtual switch. Open virtual switch, an alternative virtual switch quite popular among cloud developers, can be a solution for managing traffic between Virtual Machins and external communications. The method used in this study is the Network Development Life Cycle (NDLC). After applying the automation engine using Ansible, it overcame the problem, namely speeding up configuration and reducing human error or errors in configuring virtual networks. The automation system can speed up the virtual network management process compared to the manual method based on 5 (five) experiments, namely when the manufacturing operation has an average time of 08 minutes and 42 seconds faster. Whereas when the addition operation has an average faster time of 08 minutes 17 seconds. On the other hand, when the deletion operation has an average time of 42 seconds faster.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135359812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.24042/ijecs.v3i1.17120
Shalaw Saman Khalid, Sarkew Salah Abdulkareem, Sana Latif Ahmed, Sana Dishad Talib, Shahla Ahmed Ghidan
In this present paper, we consider some features of the states of one-dimensional photonic crystals. Form the numerical results performed by transfer matrix method in periodic multilayer structure made of titanium dioxide and tellurium material, it is found that the structure possesses a photonic band gap it was determined that the structure has a photonic band gap in the borderline visible and infrared spectral region. Our predictions were in good agreement with the photonic bandgap tuning. Our simple model can also predict and explain the effect of incidence angle and wavelength and number of layers on the photonic bandgap. We expect such structures to play an important role in micromechanical tunable optical sensors and filters.
{"title":"Near Infrared -Visible Photonic Bandgap in One-Dimensional Periodic Photonic Crystal Structure Composed of Tio2/Te Layers","authors":"Shalaw Saman Khalid, Sarkew Salah Abdulkareem, Sana Latif Ahmed, Sana Dishad Talib, Shahla Ahmed Ghidan","doi":"10.24042/ijecs.v3i1.17120","DOIUrl":"https://doi.org/10.24042/ijecs.v3i1.17120","url":null,"abstract":"In this present paper, we consider some features of the states of one-dimensional photonic crystals. Form the numerical results performed by transfer matrix method in periodic multilayer structure made of titanium dioxide and tellurium material, it is found that the structure possesses a photonic band gap it was determined that the structure has a photonic band gap in the borderline visible and infrared spectral region. Our predictions were in good agreement with the photonic bandgap tuning. Our simple model can also predict and explain the effect of incidence angle and wavelength and number of layers on the photonic bandgap. We expect such structures to play an important role in micromechanical tunable optical sensors and filters.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135359813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.24042/ijecs.v3i1.17196
Aristoteles Aristoteles, Amelia Jasmine, Yohana Tri Utami, Favorisen R Lumbanraja
Lampung University does routine activities every new academic year for students, especially for new students college in the Faculty of Engineering, Introduction to Campus Life for New Students (PKKMB), one of the main agendas of PKKMB is introducing every building and public facilities in Civil Engineering, also every building and the room in it. The current state of the COVID-19 pandemic makes the University of Lampung conduct learning activities by network (online).The area and number of buildings' public facilities will be an issue for new students and visitors since it takes longer to find information, explore, and understand the layout of the building environment. To address these issues, there is a need for technology that fulfills the requirements of information, efficiency, and new methods in introducing a building to visitors. These problems are expected to be resolved by developing a virtual 3D map application for Building A, the Dean of the Faculty of Engineering, and Building B the architectural engineering. The Multimedia Development Life Cycle (MDLC) method was used to develop this application. The application testing in this research uses two types of testing namely Alpha and Beta testing with a black box scheme. Alpha testing results show that the app is compatible with Android OS 8.1 to 11.1 and smartphones with 5.45 to 6.4-inch displays. It requires at least 4GB to 8GB RAM According to the Beta Testing the application resulted in an outstanding 90.2% satisfaction rate. It can be concluded that the virtual 3D map application for Dean's Office Building A and Architecture Engineering Building B of the Faculty of Engineering at Lampung University functions effectively and is rated as "Very Good" based on the established criteria and index.
{"title":"Design of Virtual Map Building Using Unity 3D with MDLC Method","authors":"Aristoteles Aristoteles, Amelia Jasmine, Yohana Tri Utami, Favorisen R Lumbanraja","doi":"10.24042/ijecs.v3i1.17196","DOIUrl":"https://doi.org/10.24042/ijecs.v3i1.17196","url":null,"abstract":"Lampung University does routine activities every new academic year for students, especially for new students college in the Faculty of Engineering, Introduction to Campus Life for New Students (PKKMB), one of the main agendas of PKKMB is introducing every building and public facilities in Civil Engineering, also every building and the room in it. The current state of the COVID-19 pandemic makes the University of Lampung conduct learning activities by network (online).The area and number of buildings' public facilities will be an issue for new students and visitors since it takes longer to find information, explore, and understand the layout of the building environment. To address these issues, there is a need for technology that fulfills the requirements of information, efficiency, and new methods in introducing a building to visitors. These problems are expected to be resolved by developing a virtual 3D map application for Building A, the Dean of the Faculty of Engineering, and Building B the architectural engineering. The Multimedia Development Life Cycle (MDLC) method was used to develop this application. The application testing in this research uses two types of testing namely Alpha and Beta testing with a black box scheme. Alpha testing results show that the app is compatible with Android OS 8.1 to 11.1 and smartphones with 5.45 to 6.4-inch displays. It requires at least 4GB to 8GB RAM According to the Beta Testing the application resulted in an outstanding 90.2% satisfaction rate. It can be concluded that the virtual 3D map application for Dean's Office Building A and Architecture Engineering Building B of the Faculty of Engineering at Lampung University functions effectively and is rated as \"Very Good\" based on the established criteria and index.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135359811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.24042/ijecs.v2i2.13543
Khairan Marzuki, N. Hanif, Article Info
Viruses spread through email are often sent by irresponsible parties that aim to infect email users' servers. This background encouraged the author to analyze the application of DKIM, SPF, anti-spam, and anti-virus to avoid spam, viruses, and spoofing activities. The goal is for the server to prevent spam, spoofing, and viruses to ensure the security and convenience of email users and prevent the impact of losses caused by them. The design and analysis of DKIM, SPF, anti-spam, and anti-virus applications use the NDLC methodology. The process includes designing spam, spoofing, and virus filtering systems and performing installation and configuration simulations. The next stage is implementation, during which the previously developed system is tested on the spam filtering system, spoofing, and viruses. The last stage is the monitoring stage, where supervision is conducted on the approach to determine its success level. This study concludes that applying the DKIM protocol can prevent spoofing through private and public key-matching methods for authentication. Meanwhile, the application of the SPF protocol can prevent spoofing by authorizing the IP address of the sending server. Additionally, SpamAssassin, ClamAV and Amavisd-New can prevent spam and viruses from entering by checking email headers, bodies, and attachments.
{"title":"Application of Domain Keys Identified Mail, Sender Policy Framework, Anti-Spam, and Anti-Virus: The Analysis on Mail Servers","authors":"Khairan Marzuki, N. Hanif, Article Info","doi":"10.24042/ijecs.v2i2.13543","DOIUrl":"https://doi.org/10.24042/ijecs.v2i2.13543","url":null,"abstract":"Viruses spread through email are often sent by irresponsible parties that aim to infect email users' servers. This background encouraged the author to analyze the application of DKIM, SPF, anti-spam, and anti-virus to avoid spam, viruses, and spoofing activities. The goal is for the server to prevent spam, spoofing, and viruses to ensure the security and convenience of email users and prevent the impact of losses caused by them. The design and analysis of DKIM, SPF, anti-spam, and anti-virus applications use the NDLC methodology. The process includes designing spam, spoofing, and virus filtering systems and performing installation and configuration simulations. The next stage is implementation, during which the previously developed system is tested on the spam filtering system, spoofing, and viruses. The last stage is the monitoring stage, where supervision is conducted on the approach to determine its success level. This study concludes that applying the DKIM protocol can prevent spoofing through private and public key-matching methods for authentication. Meanwhile, the application of the SPF protocol can prevent spoofing by authorizing the IP address of the sending server. Additionally, SpamAssassin, ClamAV and Amavisd-New can prevent spam and viruses from entering by checking email headers, bodies, and attachments.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131067789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.24042/ijecs.v2i2.14221
N. Nurhayati, A. M. de Oliveira, M. Yasin, D. Kurniawan
This paper aims to describe the performance of the palm tree Coplanar Vivaldi Antenna Array (CVA) that was simulated from 0.25-6.25 GHz in terms of return loss and radiation pattern. Palm Tree Coplanar Vivaldi Antenna is available in four different configurations: single-element, two-element array, four-element array, and an eight-element array. We create a feeding network and radiator patch for two, four, and eight-array antennas. The simulation results demonstrate that the single-element antenna has the best return loss performance and can cover all frequency work from 0.25-6.25 GHz. In contrast, the antenna array can only cover multiband frequency. At 3 GHz, a single-element antenna has a directivity of 8.77 dBi, a sidelobe level of -2.2 dB, and a beamwidth of 63.70. In contrast, an antenna array of 8 elements has a directivity of 15.5 dBi, a sidelobe level of -12.6 dB, and a beamwidth of 80. Using the same substrate size, by configuring the Vivaldi Coplanar antenna to be an array at a frequency of 3 GHz, the 1×8 array antenna has a 6.73dBi improvement in directivity, a 10.4 dB boost in side lobe level, and a 55.70 enhanced in beamwidth performance compared to a single element. According to the simulation findings, the radiation pattern performance of the. Palm Tree CVA is greater than a single element in the same substrate size. Good directivity, SLL, and beamwidth performance make the proposed Palm Tree CVA array suitable for integration in telecommunication, radar, or cognitive radio applications.
{"title":"Palm Tree Coplanar Vivaldi Antenna Array on the Same Substrate Size: Design and Performance Evaluation","authors":"N. Nurhayati, A. M. de Oliveira, M. Yasin, D. Kurniawan","doi":"10.24042/ijecs.v2i2.14221","DOIUrl":"https://doi.org/10.24042/ijecs.v2i2.14221","url":null,"abstract":"This paper aims to describe the performance of the palm tree Coplanar Vivaldi Antenna Array (CVA) that was simulated from 0.25-6.25 GHz in terms of return loss and radiation pattern. Palm Tree Coplanar Vivaldi Antenna is available in four different configurations: single-element, two-element array, four-element array, and an eight-element array. We create a feeding network and radiator patch for two, four, and eight-array antennas. The simulation results demonstrate that the single-element antenna has the best return loss performance and can cover all frequency work from 0.25-6.25 GHz. In contrast, the antenna array can only cover multiband frequency. At 3 GHz, a single-element antenna has a directivity of 8.77 dBi, a sidelobe level of -2.2 dB, and a beamwidth of 63.70. In contrast, an antenna array of 8 elements has a directivity of 15.5 dBi, a sidelobe level of -12.6 dB, and a beamwidth of 80. Using the same substrate size, by configuring the Vivaldi Coplanar antenna to be an array at a frequency of 3 GHz, the 1×8 array antenna has a 6.73dBi improvement in directivity, a 10.4 dB boost in side lobe level, and a 55.70 enhanced in beamwidth performance compared to a single element. According to the simulation findings, the radiation pattern performance of the. Palm Tree CVA is greater than a single element in the same substrate size. Good directivity, SLL, and beamwidth performance make the proposed Palm Tree CVA array suitable for integration in telecommunication, radar, or cognitive radio applications.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122465558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.24042/ijecs.v2i2.13694
Yessi Mulyani, Dzihan Septiangraini, M. A. Muhammad, G. F. Nama
Convolutional Neural Network (CNN) is very good at classifying images. To measure the best CNN architecture, a study must be done against real-case scenarios. Aglaonema, one of the plants with high similarity, is chosen as a test case to compare CNN architecture. In this study, a classification process was carried out on five classes of Aglaonema imagery by comparing five architectures from the Convolutional Neural Network (CNN) method: LeNet, AlexNet, VGG16, Inception V3, and ResNet50. The total dataset used is 500 image data, with the distribution of training data by 80% and test data by 20%. The segmentation process is performed using the Grabcut algorithm by separating the foreground and background. To build a model for CNN architecture using Google Colab and Google Drive storage. The results of the tests carried out on five classes of Aglaonema images obtained the best accuracy, precision, and recall results on the Inception V3 architecture with values of 92.8%, 93%, and 92.8%. The CNN architecture has the highest level of accuracy in classifying aglaonema plant types based on images. This study seeks to close research gaps, contribute to the field of research, and serve as a platform for primary prevention research.
{"title":"Comparison Study of Convolutional Neural Network Architecture in Aglaonema Classification","authors":"Yessi Mulyani, Dzihan Septiangraini, M. A. Muhammad, G. F. Nama","doi":"10.24042/ijecs.v2i2.13694","DOIUrl":"https://doi.org/10.24042/ijecs.v2i2.13694","url":null,"abstract":"Convolutional Neural Network (CNN) is very good at classifying images. To measure the best CNN architecture, a study must be done against real-case scenarios. Aglaonema, one of the plants with high similarity, is chosen as a test case to compare CNN architecture. In this study, a classification process was carried out on five classes of Aglaonema imagery by comparing five architectures from the Convolutional Neural Network (CNN) method: LeNet, AlexNet, VGG16, Inception V3, and ResNet50. The total dataset used is 500 image data, with the distribution of training data by 80% and test data by 20%. The segmentation process is performed using the Grabcut algorithm by separating the foreground and background. To build a model for CNN architecture using Google Colab and Google Drive storage. The results of the tests carried out on five classes of Aglaonema images obtained the best accuracy, precision, and recall results on the Inception V3 architecture with values of 92.8%, 93%, and 92.8%. The CNN architecture has the highest level of accuracy in classifying aglaonema plant types based on images. This study seeks to close research gaps, contribute to the field of research, and serve as a platform for primary prevention research.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115345648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.24042/ijecs.v2i2.15045
A. O. Abdulrahman, Karwan M. Hama Rawf
The purpose of an educational website is to efficiently provide up-to-date services and resources to students, faculty, and staff. However, the needs of university students are not always prioritized throughout the design phase of websites; instead, technological considerations, organizational concerns, and commercial goals may all drive the process. When it comes to meeting the demands of the target audience, website designers often fall short. At the same time, visitors may encounter a wide variety of usability issues while visiting the sites. Thus, the purpose of this study is to examine the efficacy of different approaches to evaluating the usability of university websites from the viewpoint of their target audiences via user-based testing and questionnaire methods involving actual users. The outcomes, which are based on data from tests conducted in real time, outline the difficulties and advantages associated with each strategy. Both a user-based test and a questionnaire, which are both trustworthy evaluation methodologies, were used in the process of analyzing and evaluating the websites.
{"title":"Usability Methodologies and Data Selection: Assessing the Usability techniques on Educational Websites","authors":"A. O. Abdulrahman, Karwan M. Hama Rawf","doi":"10.24042/ijecs.v2i2.15045","DOIUrl":"https://doi.org/10.24042/ijecs.v2i2.15045","url":null,"abstract":"The purpose of an educational website is to efficiently provide up-to-date services and resources to students, faculty, and staff. However, the needs of university students are not always prioritized throughout the design phase of websites; instead, technological considerations, organizational concerns, and commercial goals may all drive the process. When it comes to meeting the demands of the target audience, website designers often fall short. At the same time, visitors may encounter a wide variety of usability issues while visiting the sites. Thus, the purpose of this study is to examine the efficacy of different approaches to evaluating the usability of university websites from the viewpoint of their target audiences via user-based testing and questionnaire methods involving actual users. The outcomes, which are based on data from tests conducted in real time, outline the difficulties and advantages associated with each strategy. Both a user-based test and a questionnaire, which are both trustworthy evaluation methodologies, were used in the process of analyzing and evaluating the websites.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122240961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-25DOI: 10.24042/ijecs.v2i2.14815
Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Karwan M. Hama Rawf, A. O. Abdulrahman, B. Mohammed
The exponential growth of deep learning networks has enabled us to handle difficult tasks, even in the complex field of medicine with small datasets. In the sphere of treatment, they are particularly significant. To identify brain tumors, this research examines how three deep learning networks are affected by conventional data augmentation methods, including MobileNetV2, VGG19, and DenseNet201. The findings showed that before and after utilizing approaches, picture augmentation schemes significantly affected the networks. The accuracy of MobileNetV2, which was originally 85.33%, was then enhanced to 96.88%. The accuracy of VGG19, which was 77.33%, was then enhanced to 95.31%, and DenseNet201, which was originally 82.66%, was then enhanced to 93.75%. The models' accuracy percentage engagement change is 13.53%, 23.25%, and 23.25%, respectively. Finally, the conclusion showed that applying data augmentation approaches improves performance, producing models far better than those trained from scratch.
{"title":"Deep Transfer Learning Networks for Brain Tumor Detection: The Effect of MRI Patient Image Augmentation Methods","authors":"Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Karwan M. Hama Rawf, A. O. Abdulrahman, B. Mohammed","doi":"10.24042/ijecs.v2i2.14815","DOIUrl":"https://doi.org/10.24042/ijecs.v2i2.14815","url":null,"abstract":"The exponential growth of deep learning networks has enabled us to handle difficult tasks, even in the complex field of medicine with small datasets. In the sphere of treatment, they are particularly significant. To identify brain tumors, this research examines how three deep learning networks are affected by conventional data augmentation methods, including MobileNetV2, VGG19, and DenseNet201. The findings showed that before and after utilizing approaches, picture augmentation schemes significantly affected the networks. The accuracy of MobileNetV2, which was originally 85.33%, was then enhanced to 96.88%. The accuracy of VGG19, which was 77.33%, was then enhanced to 95.31%, and DenseNet201, which was originally 82.66%, was then enhanced to 93.75%. The models' accuracy percentage engagement change is 13.53%, 23.25%, and 23.25%, respectively. Finally, the conclusion showed that applying data augmentation approaches improves performance, producing models far better than those trained from scratch.","PeriodicalId":190490,"journal":{"name":"International Journal of Electronics and Communications Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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