Pub Date : 2024-06-06DOI: 10.37385/jaets.v5i2.4096
Samah Kamil, Mohammed Al-Turfi, Riyadh Almukhtar
The growing dependence on chemicals across industries has emphasized the importance of storage solutions to ensure safety and environmental sustainability. Smart storage systems, equipped with cutting-edge technologies, offer opportunities to tackle these issues guaranteeing best dealing and handling. This study evaluates chemical storage equipment and protection systems' role in increasing safety and sustainability in storage practices and roles. This evaluation included a decade-long literature examination of papers, patents, and industry reports. The analysis examined safety assessments, regulatory compliance, and storage system applications. The study examined IoT, AI, sophisticated detectors, and sensors to improve storage safety and reduce the effect for environmental sustainability. Results showed breakthroughs in sensor technologies, systems integration, and AI algorithms for real-time storage facility monitoring, danger identification, and predictive analytics. Smart storage solutions reduce hazards, ensure compliance, and protect the environment. However, prices, integration issues, and data security concerns were noted. Overall, this review sheds light on chemical smart storage systems and their future. It shows how technology improves safety and sustainability and identifies topics for further research.
{"title":"Advancements in Chemical Materials: Exploring Smart Storage Equipment and Protection Systems (Review)","authors":"Samah Kamil, Mohammed Al-Turfi, Riyadh Almukhtar","doi":"10.37385/jaets.v5i2.4096","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.4096","url":null,"abstract":"The growing dependence on chemicals across industries has emphasized the importance of storage solutions to ensure safety and environmental sustainability. Smart storage systems, equipped with cutting-edge technologies, offer opportunities to tackle these issues guaranteeing best dealing and handling. This study evaluates chemical storage equipment and protection systems' role in increasing safety and sustainability in storage practices and roles. This evaluation included a decade-long literature examination of papers, patents, and industry reports. The analysis examined safety assessments, regulatory compliance, and storage system applications. The study examined IoT, AI, sophisticated detectors, and sensors to improve storage safety and reduce the effect for environmental sustainability. Results showed breakthroughs in sensor technologies, systems integration, and AI algorithms for real-time storage facility monitoring, danger identification, and predictive analytics. Smart storage solutions reduce hazards, ensure compliance, and protect the environment. However, prices, integration issues, and data security concerns were noted. Overall, this review sheds light on chemical smart storage systems and their future. It shows how technology improves safety and sustainability and identifies topics for further research.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377823","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3992
Abdullah Najm Abed Alzaki, Mohammed Al-Tamimi
The electrocardiogram is a topic of great importance from a medical and biometric perspective, especially recently, as researchers have begun to search for new biometric methods other than the palm print, fingerprint, or iris as alternative systems. Researchers discovered that ECG has unique features that are not common among humans, making it a good topic for researchers in biometric systems for identifying people. In this research paper, the goal is to shed light on the most important basic concepts that are related to ECG in terms of the methods used by researchers and in terms of the most critical data sets used by researchers, and also to shed light on some previous studies that achieved a high rate of citations, and also to shed light on the most important basic concepts that make Its features are unique and intelligence methods can be used effectively.
{"title":"An Analytical Study on the Most Important Methods and Data Sets Used to Identify People Through ECG: Review","authors":"Abdullah Najm Abed Alzaki, Mohammed Al-Tamimi","doi":"10.37385/jaets.v5i2.3992","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3992","url":null,"abstract":"The electrocardiogram is a topic of great importance from a medical and biometric perspective, especially recently, as researchers have begun to search for new biometric methods other than the palm print, fingerprint, or iris as alternative systems. Researchers discovered that ECG has unique features that are not common among humans, making it a good topic for researchers in biometric systems for identifying people. In this research paper, the goal is to shed light on the most important basic concepts that are related to ECG in terms of the methods used by researchers and in terms of the most critical data sets used by researchers, and also to shed light on some previous studies that achieved a high rate of citations, and also to shed light on the most important basic concepts that make Its features are unique and intelligence methods can be used effectively.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376287","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 : 2023-12-14DOI: 10.37385/jaets.v5i1.2396
C. I. Erliana, Iskandar Hasanuddin, Y. Away, R. Ghazilla
Tofu is a soy-based food that is popular in Indonesia. One of the supporting factors is that it has high nutritional value and low price. Tofu is produced by micro, small, and medium enterprises (MSMEs) in all provinces in Indonesia, including in the region of Aceh. Based on the results of observations, the tofu production process still predominantly uses human labor, starting from the washing process to the cutting process. This activity is carried out every day with a high repetition rate. If this is allowed to happen for a long time, workers will be exposed to the risk of musculoskeletal disorders. This study uses the Cornell Musculoskeletal Disorders (CMDQ) questionnaire to assess the workers' work posture and determine the level of occupational hazard risk using the Rapid Entire Body Assessment (REBA) method. The results of the distribution of questionnaires show that the body parts that experienced pain complaints were the shoulder (right dan left), upper back, upper arm (right and left), lower back, forearm (right and left), also wrist (right and left). It happens in the filtering process. The results of the assessment of work posture with the REBA method show the score of work posture in the filtering process is 13, which means that the filtering posture of workers has a very high risk and must be improved immediately. The present research recommended additional intervention that includes engineering and administrative control methods for reducing those workers' complaints of muscle pain.
{"title":"Musculoskeletal Disorders Risk Levels in Tofu Workers in North Aceh: An Ergonomic Assessment","authors":"C. I. Erliana, Iskandar Hasanuddin, Y. Away, R. Ghazilla","doi":"10.37385/jaets.v5i1.2396","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.2396","url":null,"abstract":"Tofu is a soy-based food that is popular in Indonesia. One of the supporting factors is that it has high nutritional value and low price. Tofu is produced by micro, small, and medium enterprises (MSMEs) in all provinces in Indonesia, including in the region of Aceh. Based on the results of observations, the tofu production process still predominantly uses human labor, starting from the washing process to the cutting process. This activity is carried out every day with a high repetition rate. If this is allowed to happen for a long time, workers will be exposed to the risk of musculoskeletal disorders. This study uses the Cornell Musculoskeletal Disorders (CMDQ) questionnaire to assess the workers' work posture and determine the level of occupational hazard risk using the Rapid Entire Body Assessment (REBA) method. The results of the distribution of questionnaires show that the body parts that experienced pain complaints were the shoulder (right dan left), upper back, upper arm (right and left), lower back, forearm (right and left), also wrist (right and left). It happens in the filtering process. The results of the assessment of work posture with the REBA method show the score of work posture in the filtering process is 13, which means that the filtering posture of workers has a very high risk and must be improved immediately. The present research recommended additional intervention that includes engineering and administrative control methods for reducing those workers' complaints of muscle pain.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139179018","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 : 2023-12-12DOI: 10.37385/jaets.v5i1.2447
Kenneth L. Armas, Bren C. Bondoc, Rhea Lyn La Penia
In the ever-evolving landscape of global agricultural supply chains, ensuring traceability, transparency, and sustainability is paramount to guaranteeing food safety, combating fraud, and meeting consumer demands. The Philippine onion industry, a vital component of the nation's horticultural sector, grapples with challenges related to traceability and transparency that impact customer trust and economic sustainability. While the adoption of smart contract platforms has revolutionized traceability and transparency in various agricultural sectors worldwide, their potential in the Philippine onion market remains underutilized. This study employs a comprehensive meta-analysis approach to evaluate the existing traceability and transparency mechanisms within the Philippine onion industry, drawing insights from a diverse set of studies. The meta-analysis reveals a consistently positive impact of these mechanisms on traceability and transparency. The findings, supported by a range of studies, underscore the value of these mechanisms in improving product quality, supply chain efficiency, and transparency. The study further investigates the potential impact of smart contract platforms in enhancing traceability and transparency throughout the onion industry's supply chain. Meta-analysis results suggest that the adoption of smart contract platforms holds promise in furthering these objectives. Through automated record-keeping and real-time data sharing, smart contracts have the potential to address existing challenges related to data fragmentation and limited technological integration. Identifying barriers to smart contract platform adoption in the context of traceability and transparency, the study proposes a set of strategic initiatives and recommendations. These recommendations cater to various stakeholders, including government bodies, academic institutions, local authorities, onion farmers, and industry players, aiming to promote the widespread adoption of smart contract platforms. This study extends beyond the confines of the Philippine onion industry, offering valuable insights into the role of smart contract platforms in enhancing traceability, transparency, and sustainability within agricultural supply chains. As the world works towards achieving the Sustainable Development Goals of the United Nations, this research contributes to the realization of "Zero Hunger" and "Responsible Consumption and Production" by promoting transparent and sustainable supply chains. By bridging the gap in understanding the potential of smart contract platforms in enhancing traceability and transparency, this study paves the way for innovative solutions, inspiring trust, and fostering sustainable farming practices within the onion industry and, potentially, in similar sectors worldwide.
{"title":"Enhancing Onion Supply Chain Using The Smart Contract Platform: A Meta-Analysis","authors":"Kenneth L. Armas, Bren C. Bondoc, Rhea Lyn La Penia","doi":"10.37385/jaets.v5i1.2447","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.2447","url":null,"abstract":"In the ever-evolving landscape of global agricultural supply chains, ensuring traceability, transparency, and sustainability is paramount to guaranteeing food safety, combating fraud, and meeting consumer demands. The Philippine onion industry, a vital component of the nation's horticultural sector, grapples with challenges related to traceability and transparency that impact customer trust and economic sustainability. While the adoption of smart contract platforms has revolutionized traceability and transparency in various agricultural sectors worldwide, their potential in the Philippine onion market remains underutilized. This study employs a comprehensive meta-analysis approach to evaluate the existing traceability and transparency mechanisms within the Philippine onion industry, drawing insights from a diverse set of studies. The meta-analysis reveals a consistently positive impact of these mechanisms on traceability and transparency. The findings, supported by a range of studies, underscore the value of these mechanisms in improving product quality, supply chain efficiency, and transparency. The study further investigates the potential impact of smart contract platforms in enhancing traceability and transparency throughout the onion industry's supply chain. Meta-analysis results suggest that the adoption of smart contract platforms holds promise in furthering these objectives. Through automated record-keeping and real-time data sharing, smart contracts have the potential to address existing challenges related to data fragmentation and limited technological integration. Identifying barriers to smart contract platform adoption in the context of traceability and transparency, the study proposes a set of strategic initiatives and recommendations. These recommendations cater to various stakeholders, including government bodies, academic institutions, local authorities, onion farmers, and industry players, aiming to promote the widespread adoption of smart contract platforms. This study extends beyond the confines of the Philippine onion industry, offering valuable insights into the role of smart contract platforms in enhancing traceability, transparency, and sustainability within agricultural supply chains. As the world works towards achieving the Sustainable Development Goals of the United Nations, this research contributes to the realization of \"Zero Hunger\" and \"Responsible Consumption and Production\" by promoting transparent and sustainable supply chains. By bridging the gap in understanding the potential of smart contract platforms in enhancing traceability and transparency, this study paves the way for innovative solutions, inspiring trust, and fostering sustainable farming practices within the onion industry and, potentially, in similar sectors worldwide.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139182802","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 : 2023-12-10DOI: 10.37385/jaets.v5i1.2169
Agung Muliawan, Achmad Rizal, S. Hadiyoso
This study describes the prediction of heart disease using ensemble classifiers with parameter optimization. As input, a public dataset was taken from UCI machine learning repository, which refers to the dataset at UCI Machine learning. The dataset consists of 13 variables that are considered to influence heart disease. Particle swarm optimization (PSO) was used for feature selection and principal component analysis (PCA) for feature extraction to reduce the features' dimensions. The application of parameter optimization on several machine learning methods such as SVM (Radial Basis Function), Deep learning, and Ensemble Classifier (bagging and boosting) to get the highest accuracy comparison. The results of this study using PSO dimensionality reduction in the public dataset of heart disease resulted in the slightest accuracy compared to PCA. In contrast, the highest accuracy was obtained from optimizing Deep Learning parameters with an accuracy of 84.47% and optimization of SVM RBF parameters with an accuracy of 83.56%. The highest accuracy in the ensemble classifier using bagging on SVM of 83.51%, with a difference of 0.5% from SVM without using bagging.
{"title":"Heart Disease Prediction based on Physiological Parameters Using Ensemble Classifier and Parameter Optimization","authors":"Agung Muliawan, Achmad Rizal, S. Hadiyoso","doi":"10.37385/jaets.v5i1.2169","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.2169","url":null,"abstract":"This study describes the prediction of heart disease using ensemble classifiers with parameter optimization. As input, a public dataset was taken from UCI machine learning repository, which refers to the dataset at UCI Machine learning. The dataset consists of 13 variables that are considered to influence heart disease. Particle swarm optimization (PSO) was used for feature selection and principal component analysis (PCA) for feature extraction to reduce the features' dimensions. The application of parameter optimization on several machine learning methods such as SVM (Radial Basis Function), Deep learning, and Ensemble Classifier (bagging and boosting) to get the highest accuracy comparison. The results of this study using PSO dimensionality reduction in the public dataset of heart disease resulted in the slightest accuracy compared to PCA. In contrast, the highest accuracy was obtained from optimizing Deep Learning parameters with an accuracy of 84.47% and optimization of SVM RBF parameters with an accuracy of 83.56%. The highest accuracy in the ensemble classifier using bagging on SVM of 83.51%, with a difference of 0.5% from SVM without using bagging.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184405","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 : 2023-12-10DOI: 10.37385/jaets.v5i1.2415
Adi Suryaputra Paramita, Harjanto Prabowo, A. Ramadhan, D. I. Sensuse
According to Connolly's (2017) research, the context of nonprofit organizations exhibits variations when compared to commercial organizations or businesses, as supported by Zhang's (2010) study. Hence, it is imperative for both theoretical and empirical studies to contribute towards enhancing our comprehension of the strategy, implementation, and utilization of information systems in the specific context of nonprofit organizations. The investigation of information systems within the context of non-profit organizations offers a promising avenue for advancing the field of information systems research. This study focuses on the development of an information systems framework using the soft systems methodology, which has already been established. One opportunity for the advancement of information systems in non-profit organizations lies in the establishment of a comprehensive framework that facilitates adoption and is accompanied by robust data governance. This framework enables the analysis of data and the generation of valuable insights, thereby contributing to the development of information systems in the non-profit sector. The choice of data governance was informed by Zhang's (2010) research, which demonstrated that non-profit organizations face significant obstacles in the form of privacy and data security concerns. Furthermore, it is apparent that the preservation of data privacy plays a crucial role in the acceptance and utilization of information systems within non-profit entities. This research aims to contribute to the resolution of the issue by establishing a governance framework for information systems that effectively communicates to users the absence of data privacy risks associated with the systems employed by organizations. The objective of this study is to create a data governance model that will fill the research gap mentioned earlier and make a valuable contribution to the field of information systems research. The formation of the data governance model will involve the integration of soft systems methodology and the DAMA framework. The outcome of this study will be a data governance model specifically designed for a nationwide non-profit organization that utilizes microservices as its cutting-edge technology.
{"title":"Data Governance Model For Nation-Wide Non-Profit Organization","authors":"Adi Suryaputra Paramita, Harjanto Prabowo, A. Ramadhan, D. I. Sensuse","doi":"10.37385/jaets.v5i1.2415","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.2415","url":null,"abstract":"According to Connolly's (2017) research, the context of nonprofit organizations exhibits variations when compared to commercial organizations or businesses, as supported by Zhang's (2010) study. Hence, it is imperative for both theoretical and empirical studies to contribute towards enhancing our comprehension of the strategy, implementation, and utilization of information systems in the specific context of nonprofit organizations. The investigation of information systems within the context of non-profit organizations offers a promising avenue for advancing the field of information systems research. This study focuses on the development of an information systems framework using the soft systems methodology, which has already been established. One opportunity for the advancement of information systems in non-profit organizations lies in the establishment of a comprehensive framework that facilitates adoption and is accompanied by robust data governance. This framework enables the analysis of data and the generation of valuable insights, thereby contributing to the development of information systems in the non-profit sector. The choice of data governance was informed by Zhang's (2010) research, which demonstrated that non-profit organizations face significant obstacles in the form of privacy and data security concerns. Furthermore, it is apparent that the preservation of data privacy plays a crucial role in the acceptance and utilization of information systems within non-profit entities. This research aims to contribute to the resolution of the issue by establishing a governance framework for information systems that effectively communicates to users the absence of data privacy risks associated with the systems employed by organizations. The objective of this study is to create a data governance model that will fill the research gap mentioned earlier and make a valuable contribution to the field of information systems research. The formation of the data governance model will involve the integration of soft systems methodology and the DAMA framework. The outcome of this study will be a data governance model specifically designed for a nationwide non-profit organization that utilizes microservices as its cutting-edge technology.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184431","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 : 2023-12-10DOI: 10.37385/jaets.v5i1.2401
M. Anam, Arda Yunianta, Hasan J. Alyamani, Erlin Erlin, Ahmad Zamsuri, Muhammad Bambang Firdaus
Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.
大多数国家开始实施智慧城市，将其作为城市战略的一项创新。然而，并不是所有的智慧城市都能顺利实施，因为社区还没有做好实施智慧城市的准备。本研究旨在调查社区的准备情况，并根据 5 个因素（即 AU、PEOU、ATU、BIU 和 PU）找到实施智慧城市的低影响因素。本研究采用技术接受模型（TAM）方法进行定性研究，调查 5 个因素之间的关系。根据数据分布的结果，可分为 2 个群组，即了解公共服务应用软件的人和不了解任何公共服务应用软件的人。此外，本研究还进行了 3 个检验，即 T 检验、F 检验和系数确定检验，以确定各因素之间关系的影响和作用。然而，从 t 检验的结果中发现，有 2 个因素之间的关系没有影响，因为 t 计数为负数，这 2 个因素之间的关系是 PU - AU 和 AU - PU。
{"title":"Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia","authors":"M. Anam, Arda Yunianta, Hasan J. Alyamani, Erlin Erlin, Ahmad Zamsuri, Muhammad Bambang Firdaus","doi":"10.37385/jaets.v5i1.2401","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.2401","url":null,"abstract":"Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184495","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 : 2023-12-10DOI: 10.37385/jaets.v5i1.2865
I. Salem, K. Al-saedi
Malicious software, sometimes known as malware, is software designed to harm a computer, network, or any of the connected resources. Without the user's knowledge, malware can spread throughout their computer system. Malware is typically disseminated via online connections and mobile devices. While malware has always been a problem in the digital age, its effects have gotten increasingly serious. Traditional malware detection methods seek to locate specific malware samples and families to recognize harmful codes and can be located using traditional signature- and rule-based detection methods. The research focuses on developing malware detectors using data mining techniques. The proposed method outlined below sets itself apart by emphasizing the processing of malware behaviors significantly dependent on aspects. Finding more dependable intelligent detecting techniques is a crucial component of this paper. In order to identify the cluster of the most essential malware features and use decision tree classifiers for malware detection, the study, a common methodology for creating malware detectors based on data mining, is implemented and investigated. Our approach can identify the most significant features of malware that can significantly determine and detect a malware code.
{"title":"Intensive Malware Detection Approach based on Data Mining","authors":"I. Salem, K. Al-saedi","doi":"10.37385/jaets.v5i1.2865","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.2865","url":null,"abstract":"Malicious software, sometimes known as malware, is software designed to harm a computer, network, or any of the connected resources. Without the user's knowledge, malware can spread throughout their computer system. Malware is typically disseminated via online connections and mobile devices. While malware has always been a problem in the digital age, its effects have gotten increasingly serious. Traditional malware detection methods seek to locate specific malware samples and families to recognize harmful codes and can be located using traditional signature- and rule-based detection methods. The research focuses on developing malware detectors using data mining techniques. The proposed method outlined below sets itself apart by emphasizing the processing of malware behaviors significantly dependent on aspects. Finding more dependable intelligent detecting techniques is a crucial component of this paper. In order to identify the cluster of the most essential malware features and use decision tree classifiers for malware detection, the study, a common methodology for creating malware detectors based on data mining, is implemented and investigated. Our approach can identify the most significant features of malware that can significantly determine and detect a malware code.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184403","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 : 2023-12-10DOI: 10.37385/jaets.v5i1.3116
Deddy Purnomo Retno, H. Harmiyati
The presence of affordable housing in developing countries is a crucial issue in order to fulfill the primary need for housing in a large market segment, especially people whose income is below the average household income. In contrast to developed countries, the development of studies on affordable housing construction (AHC) in developing countries has not been well mapped. This certainly creates many gaps in determining the direction of future developments, especially related to the studies that will be carried out. This study tries to map the development of scientific publications related to AHC in developing countries, from 1983 - 2021. Using scientometric techniques and VosViewers as a data processing tool, 116 publications that meet the given criteria have been identified. The findings of this study reveal a mapping of publications organized by country, organization, research outlet, author, document citation, and main research area. During the observation period, most research focused on developing nations, affordability, sustainable development, the construction industry, and the developing globe. In addition, the results of this study also successfully mapped opportunities for future research focuses related to building materials, affordable housing, low-income populations, decision-making, and structural design. In conclusion, this study highlights the need for further research on affordable housing development in developing countries to guide policy makers and researchers in developing affordable housing solutions that meet the housing needs of low-income households.
{"title":"The Construction of Affordable Housing in Developing Countries: a Scientometric Review","authors":"Deddy Purnomo Retno, H. Harmiyati","doi":"10.37385/jaets.v5i1.3116","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.3116","url":null,"abstract":"The presence of affordable housing in developing countries is a crucial issue in order to fulfill the primary need for housing in a large market segment, especially people whose income is below the average household income. In contrast to developed countries, the development of studies on affordable housing construction (AHC) in developing countries has not been well mapped. This certainly creates many gaps in determining the direction of future developments, especially related to the studies that will be carried out. This study tries to map the development of scientific publications related to AHC in developing countries, from 1983 - 2021. Using scientometric techniques and VosViewers as a data processing tool, 116 publications that meet the given criteria have been identified. The findings of this study reveal a mapping of publications organized by country, organization, research outlet, author, document citation, and main research area. During the observation period, most research focused on developing nations, affordability, sustainable development, the construction industry, and the developing globe. In addition, the results of this study also successfully mapped opportunities for future research focuses related to building materials, affordable housing, low-income populations, decision-making, and structural design. In conclusion, this study highlights the need for further research on affordable housing development in developing countries to guide policy makers and researchers in developing affordable housing solutions that meet the housing needs of low-income households.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184468","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 : 2023-12-10DOI: 10.37385/jaets.v5i1.1956
Gita Hapsari, Giva Andriana Mutiara, M. R. Alfarisi, Lisda Meisaroh, Fanny Husnul Hanifa, Ramadhanu Putra, Dimas Salim, Aris Pujud Kurniawan
Buses are the most used transportation by people in Indonesia when traveling between cities. However, to improve passenger comfort, a tool is required to determine the number of passengers on the bus. This research presents an automated system to count the number of passengers based on a background subtraction algorithm and moving object activator. This research aims to provide the number of passengers based on video images taken from the entranceway. The system is built with a camera, Raspberry Pi, and LCD. The APC system starts the counting process by removing the video background image from the captured object image. The entry and exit direction of the object is determined using the concept of moving object activator. The experiments were applied in several scenarios to determine the robustness of the system. The best APC performance was achieved when the system is positioned perpendicularly above the entranceway at a height of 230 cm and a light intensity of 800-1000 lux. Meanwhile, the moving object activator is effective in supporting the system's performance to determine the passenger's direction. In this scenario, the results stated that the accuracy of APC system performance reached 93.8%.
{"title":"Moving Object Activator in Background Subtraction Algorithm for Automatic Passenger Counter System in Public Transportation","authors":"Gita Hapsari, Giva Andriana Mutiara, M. R. Alfarisi, Lisda Meisaroh, Fanny Husnul Hanifa, Ramadhanu Putra, Dimas Salim, Aris Pujud Kurniawan","doi":"10.37385/jaets.v5i1.1956","DOIUrl":"https://doi.org/10.37385/jaets.v5i1.1956","url":null,"abstract":"Buses are the most used transportation by people in Indonesia when traveling between cities. However, to improve passenger comfort, a tool is required to determine the number of passengers on the bus. This research presents an automated system to count the number of passengers based on a background subtraction algorithm and moving object activator. This research aims to provide the number of passengers based on video images taken from the entranceway. The system is built with a camera, Raspberry Pi, and LCD. The APC system starts the counting process by removing the video background image from the captured object image. The entry and exit direction of the object is determined using the concept of moving object activator. The experiments were applied in several scenarios to determine the robustness of the system. The best APC performance was achieved when the system is positioned perpendicularly above the entranceway at a height of 230 cm and a light intensity of 800-1000 lux. Meanwhile, the moving object activator is effective in supporting the system's performance to determine the passenger's direction. In this scenario, the results stated that the accuracy of APC system performance reached 93.8%.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184427","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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