Pub Date : 2023-10-31DOI: 10.18517/ijaseit.13.5.18012
Take Zhailybayeva, Karatay Shalabayev, Baktigul Raimbekova, Shermakhan Shapalov, Guldana Berkinbayeva
{"title":"Systematic Analysis of the Flora of the Western Part of the Kyrgyz Alatau","authors":"Take Zhailybayeva, Karatay Shalabayev, Baktigul Raimbekova, Shermakhan Shapalov, Guldana Berkinbayeva","doi":"10.18517/ijaseit.13.5.18012","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.18012","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808318","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.19058
Sonia Cueva-Ortiz, Andrea Ordóñez-León, Zaira Tello-Toapanta
Following the international agreements established at the World Summit on the Information Society, organized by the UN and the Digital Agenda for Latin America and the Caribbean, Ecuador, and the Italian Veneto invest resources destined to transform the production matrix towards knowledge. Among the strategies they use are training human talent and constructing spaces that promote innovation and knowledge production. Thus, clusters are formed in different areas, urban districts are formed, or cities based on knowledge, as in the Ecuadorian case. Spaces that change and impact the usual functioning of the city. This article aims to build a state-of-the-art advanced knowledge society focused on the built spaces of Ecuador and Veneto. For this, three case studies are selected: the Yachay Knowledge City, considered an emblematic project, Loja as a canton in which the change in the production matrix induced by the National Development Plan is reviewed; and Verona as a representative case of the Italian Veneto, which houses knowledge clusters and an interpret part of the European corridor. A mixed methodology supported by a qualitative documentation review from the corresponding governments and scientific articles was used. In addition, a bibliometric review is made using 353 articles obtained from the Scopus database. Advances are checked against your regional standards. Built spaces are found, although not always in accordance with the projected results. The advances in both cases are below the regional, Latin, and European average, respectively.
{"title":"Knowledge Society and Built Spaces in Ecuador and the Italian Veneto: State-of-Art","authors":"Sonia Cueva-Ortiz, Andrea Ordóñez-León, Zaira Tello-Toapanta","doi":"10.18517/ijaseit.13.5.19058","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19058","url":null,"abstract":"Following the international agreements established at the World Summit on the Information Society, organized by the UN and the Digital Agenda for Latin America and the Caribbean, Ecuador, and the Italian Veneto invest resources destined to transform the production matrix towards knowledge. Among the strategies they use are training human talent and constructing spaces that promote innovation and knowledge production. Thus, clusters are formed in different areas, urban districts are formed, or cities based on knowledge, as in the Ecuadorian case. Spaces that change and impact the usual functioning of the city. This article aims to build a state-of-the-art advanced knowledge society focused on the built spaces of Ecuador and Veneto. For this, three case studies are selected: the Yachay Knowledge City, considered an emblematic project, Loja as a canton in which the change in the production matrix induced by the National Development Plan is reviewed; and Verona as a representative case of the Italian Veneto, which houses knowledge clusters and an interpret part of the European corridor. A mixed methodology supported by a qualitative documentation review from the corresponding governments and scientific articles was used. In addition, a bibliometric review is made using 353 articles obtained from the Scopus database. Advances are checked against your regional standards. Built spaces are found, although not always in accordance with the projected results. The advances in both cases are below the regional, Latin, and European average, respectively.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808324","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.18443
Mochamad Fajar Wicaksono, Myrna Dwi Rahmatya
{"title":"3D Geometric Shape and Colors Interactive Learning Media using Raspberry Pi, OpenCV, and TensorFlow Lite","authors":"Mochamad Fajar Wicaksono, Myrna Dwi Rahmatya","doi":"10.18517/ijaseit.13.5.18443","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.18443","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929295","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.18361
- Hermawan, Nasyiin Faqih, - Sunaryo, Jozef Svajlenka
{"title":"Prediction of Particulate Matter (PM) Concentration of Wooden Houses in the Highlands by Two Statistical Modelling Methods","authors":"- Hermawan, Nasyiin Faqih, - Sunaryo, Jozef Svajlenka","doi":"10.18517/ijaseit.13.5.18361","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.18361","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929300","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.19050
Saijod Tze Way Lau, Chee Kuang Kok, Md. Injamum Ul Haque, Abdul Rahman Adenan, Sajid Abdullah Alam, Sivakumar Dhar Malingam, Purwo Kadarno, Kia Wai Liew
This study investigated the effects of carbon-aramid arrangement and strain rate on crush tube energy absorption. Round composite tubes, each consisting of three layers of fabric, were made using four different carbon-aramid hybridization schemes. Hand lay-up and compression bladder molding were used in the fabrication process. In two hybridization schemes, carbon-aramid fabrics were arranged to evaluate the effect of axially graded impedance relative to the tube impact end. Static crush and low-velocity impact (LVI) tests were conducted, and the force-displacement responses, energy absorption characteristics, and failure modes were compared. Test results revealed that energy absorption was 20% to 60% higher in the low-velocity impact test than in static crush, regardless of the hybridization schemes. In both tests, material arrangement played a surprisingly important role that was comparable to the tube carbon content in energy absorption. Maximum specific energy absorption of 26.21 kJ/kg was obtained in the hybridization scheme with the low impedance at the initiator end, with increasing impedance towards the impact end. This amount of specific energy absorption is almost equivalent to the other hybridization scheme that has twice the carbon fiber content. This scheme facilitated initial damage modes that favored progressive folding in the rest of the tube. This study presents the idea of enhancing the crashworthiness of crash boxes using axially graded impedance material arrangement. It is recommended that the idea be subjected to more testing for verification and potential commercialization.
{"title":"Enhanced Dynamic Energy Absorption in Carbon/Aramid Composite Tubes with Axially Graded Impedance","authors":"Saijod Tze Way Lau, Chee Kuang Kok, Md. Injamum Ul Haque, Abdul Rahman Adenan, Sajid Abdullah Alam, Sivakumar Dhar Malingam, Purwo Kadarno, Kia Wai Liew","doi":"10.18517/ijaseit.13.5.19050","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19050","url":null,"abstract":"This study investigated the effects of carbon-aramid arrangement and strain rate on crush tube energy absorption. Round composite tubes, each consisting of three layers of fabric, were made using four different carbon-aramid hybridization schemes. Hand lay-up and compression bladder molding were used in the fabrication process. In two hybridization schemes, carbon-aramid fabrics were arranged to evaluate the effect of axially graded impedance relative to the tube impact end. Static crush and low-velocity impact (LVI) tests were conducted, and the force-displacement responses, energy absorption characteristics, and failure modes were compared. Test results revealed that energy absorption was 20% to 60% higher in the low-velocity impact test than in static crush, regardless of the hybridization schemes. In both tests, material arrangement played a surprisingly important role that was comparable to the tube carbon content in energy absorption. Maximum specific energy absorption of 26.21 kJ/kg was obtained in the hybridization scheme with the low impedance at the initiator end, with increasing impedance towards the impact end. This amount of specific energy absorption is almost equivalent to the other hybridization scheme that has twice the carbon fiber content. This scheme facilitated initial damage modes that favored progressive folding in the rest of the tube. This study presents the idea of enhancing the crashworthiness of crash boxes using axially graded impedance material arrangement. It is recommended that the idea be subjected to more testing for verification and potential commercialization.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808312","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}
{"title":"Tsunami Database Development in the Sunda Arc Indonesia to Support Early Warning through Artificial Intelligence Technology","authors":"Mardi Wibowo, Wahyu Hendriyono, Hanah Khoirunnisa, Reno Arief Rachman, Widjo Kongko, Gugum Gumbira, Shofia Karima, Reni Wijayanti, Eko Kustiyanto, Amalia Nurwijayanti, Destianingrum Ratna Prabawardani, Gumilang Ramadhan Pasma","doi":"10.18517/ijaseit.13.5.18616","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.18616","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929301","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.18750
Goib Wiranto, Slamet Widodo, I Dewa Putu Hermida, Yudi Y. Maulana, Deni P. Kurniadi, Shenny Oktaviana, Atiek R. Noviyanti, - Juliandri
{"title":"The Use of Tragacanth as a Gelling Agent in Roselle Flower Extract based Radiochromic Indicators","authors":"Goib Wiranto, Slamet Widodo, I Dewa Putu Hermida, Yudi Y. Maulana, Deni P. Kurniadi, Shenny Oktaviana, Atiek R. Noviyanti, - Juliandri","doi":"10.18517/ijaseit.13.5.18750","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.18750","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929303","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.19057
Yunjae Jang, Ilkyu Yoon, Hosung Woo
Extending beyond technology, artificial intelligence (AI) is fundamentally changing how people live. It plays a key role in determining the competitiveness of countries and companies and is expected to change the competitive landscape of existing industries fundamentally. The better people understand AI, the better they can utilize it effectively and safely. Therefore, preparing a strategy to ensure that all citizens have access to AI education is important. This study aims to develop an AI liberal arts curriculum to improve the general public’s ability to utilize and understand AI. Through literature analysis, AI core competencies for the general public were derived. The core competencies are Adaptability, Public Interest Consideration, Creative and Convergent Thinking, Collaboration, Computational Thinking, and Artificial Intelligence Literacy. The AI curriculum was designed considering AI core competencies, and the validity of the experts was verified for AI technology and education experts. We also conducted a comparative analysis of the content and level of AI curriculum for the general public based on the results of word frequency and topic modeling analysis of AI education-related papers collected from the Web of Science. The areas of the AI curriculum consisted of understanding artificial intelligence, application of artificial intelligence, and artificial intelligence. This study is significant in that the topics discovered are based on the frequency of words extracted from many AI education-related documents, and the results of topic modeling are considered in the curriculum development process.
人工智能(AI)超越了技术，正在从根本上改变人们的生活方式。它在决定国家和公司的竞争力方面起着关键作用，预计将从根本上改变现有行业的竞争格局。人们越了解人工智能，就越能有效、安全地利用它。因此，制定一项确保所有公民都能接受人工智能教育的战略非常重要。本研究旨在开发人工智能文科课程，以提高大众使用和理解人工智能的能力。通过文献分析，得出了大众人工智能的核心竞争力。核心能力是适应性、公共利益考虑、创造性和收敛性思维、协作、计算思维和人工智能素养。人工智能课程设计考虑了人工智能核心能力，并对人工智能技术和教育专家进行了有效性验证。我们还通过对Web of Science上收集的人工智能教育相关论文的词频和主题建模分析结果，对面向大众的人工智能课程的内容和水平进行了对比分析。人工智能课程的领域包括理解人工智能、应用人工智能和人工智能。本研究的意义在于发现的主题是基于从许多AI教育相关文档中提取的单词频率，并且在课程开发过程中考虑了主题建模的结果。
{"title":"Development of AI Liberal Arts Curriculum for the General Public","authors":"Yunjae Jang, Ilkyu Yoon, Hosung Woo","doi":"10.18517/ijaseit.13.5.19057","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19057","url":null,"abstract":"Extending beyond technology, artificial intelligence (AI) is fundamentally changing how people live. It plays a key role in determining the competitiveness of countries and companies and is expected to change the competitive landscape of existing industries fundamentally. The better people understand AI, the better they can utilize it effectively and safely. Therefore, preparing a strategy to ensure that all citizens have access to AI education is important. This study aims to develop an AI liberal arts curriculum to improve the general public’s ability to utilize and understand AI. Through literature analysis, AI core competencies for the general public were derived. The core competencies are Adaptability, Public Interest Consideration, Creative and Convergent Thinking, Collaboration, Computational Thinking, and Artificial Intelligence Literacy. The AI curriculum was designed considering AI core competencies, and the validity of the experts was verified for AI technology and education experts. We also conducted a comparative analysis of the content and level of AI curriculum for the general public based on the results of word frequency and topic modeling analysis of AI education-related papers collected from the Web of Science. The areas of the AI curriculum consisted of understanding artificial intelligence, application of artificial intelligence, and artificial intelligence. This study is significant in that the topics discovered are based on the frequency of words extracted from many AI education-related documents, and the results of topic modeling are considered in the curriculum development process.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808155","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.19052
Ang Yong Kian, Siow Chun Lim
The manufacturing sector constitutes a cornerstone of Malaysia's economic landscape, significantly contributing to the nation's Gross Domestic Product (GDP). This pivotal role, however, is accompanied by substantial energy requirements, placing the manufacturing sector among the highest energy consumers across various industries in the country. This study primarily focuses on assessing the solar energy potential within the manufacturing sector. The objectives encompass two key facets: firstly, simulating the attainable energy yield from a photovoltaic (PV) system integrated into manufacturing industry facilities, and secondly, evaluating whether the PV system's generated electricity aligns with the energy requirements of selected manufacturing sectors, namely chemical and metal manufacturing plants. Sixteen companies have been selected from the chemical and metallurgical sectors for this study. The design process for the solar photovoltaic systems within these facilities necessitates determining the factory's location and rooftop area. Additionally, assessing the total savings is imperative to gauge the viability of the solar energy generated by these manufacturing plants. Among the 16 companies analyzed, intriguingly, 5 companies have demonstrated the capacity to fully transition to solar energy to cater to their energy needs. Notably, one of these companies can harness solar power to meet an impressive 179.91% of their energy demand by optimizing available space for solar power generation. This transition could potentially translate into substantial savings exceeding RM1 million in electricity costs.
{"title":"On the Potential of Solar Energy for Chemical and Metal Manufacturing Plants in Malaysia","authors":"Ang Yong Kian, Siow Chun Lim","doi":"10.18517/ijaseit.13.5.19052","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19052","url":null,"abstract":"The manufacturing sector constitutes a cornerstone of Malaysia's economic landscape, significantly contributing to the nation's Gross Domestic Product (GDP). This pivotal role, however, is accompanied by substantial energy requirements, placing the manufacturing sector among the highest energy consumers across various industries in the country. This study primarily focuses on assessing the solar energy potential within the manufacturing sector. The objectives encompass two key facets: firstly, simulating the attainable energy yield from a photovoltaic (PV) system integrated into manufacturing industry facilities, and secondly, evaluating whether the PV system's generated electricity aligns with the energy requirements of selected manufacturing sectors, namely chemical and metal manufacturing plants. Sixteen companies have been selected from the chemical and metallurgical sectors for this study. The design process for the solar photovoltaic systems within these facilities necessitates determining the factory's location and rooftop area. Additionally, assessing the total savings is imperative to gauge the viability of the solar energy generated by these manufacturing plants. Among the 16 companies analyzed, intriguingly, 5 companies have demonstrated the capacity to fully transition to solar energy to cater to their energy needs. Notably, one of these companies can harness solar power to meet an impressive 179.91% of their energy demand by optimizing available space for solar power generation. This transition could potentially translate into substantial savings exceeding RM1 million in electricity costs.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808317","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 : 2023-10-31DOI: 10.18517/ijaseit.13.5.19032
Naufal Zamri, Naveen Palanichamy, Su-Cheng Haw
College plays a vital role in defining a student's future by providing relevant education, skills, and exposure. The choice of college courses heavily influences their career foundation and employment skill sets. However, the expanding number of college courses often leaves students struggling to make the best choice, leading to dropouts due to the lack of interest. Many systems rely on existing student reviews or the popularity of the course itself, which may not always result in relevant recommendations. Hence, some systems use sentiment analysis (SA) to evaluate students' opinions, considering qualitative and sentiment data to understand their interests better. However, current SA performance struggles to extract meaningful words due to dataset availability. Hence, a course recommendation system based on students' interests and competence would be valuable. This paper focuses on evaluating and understanding existing systems to provide students with an effective course recommendation system. It includes first gathering useful data that would improve the use of SA. Next, feature extraction techniques Term Frequency-Inverse Document Frequency (TF-IDF) and N-gram were implemented and compared. SA will be performed to increase the relevance of the student's interests to recommend a course by implementing Fuzzy Logic and K-nearest neighbors. These algorithms will be evaluated by performance metrics such as accuracy to determine the most efficient way to recommend a course. The findings highlight the importance of considering students' subjective preferences and interests for better outcomes regarding student success and graduation rates.
{"title":"College Course Recommender System based on Sentiment Analysis","authors":"Naufal Zamri, Naveen Palanichamy, Su-Cheng Haw","doi":"10.18517/ijaseit.13.5.19032","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19032","url":null,"abstract":"College plays a vital role in defining a student's future by providing relevant education, skills, and exposure. The choice of college courses heavily influences their career foundation and employment skill sets. However, the expanding number of college courses often leaves students struggling to make the best choice, leading to dropouts due to the lack of interest. Many systems rely on existing student reviews or the popularity of the course itself, which may not always result in relevant recommendations. Hence, some systems use sentiment analysis (SA) to evaluate students' opinions, considering qualitative and sentiment data to understand their interests better. However, current SA performance struggles to extract meaningful words due to dataset availability. Hence, a course recommendation system based on students' interests and competence would be valuable. This paper focuses on evaluating and understanding existing systems to provide students with an effective course recommendation system. It includes first gathering useful data that would improve the use of SA. Next, feature extraction techniques Term Frequency-Inverse Document Frequency (TF-IDF) and N-gram were implemented and compared. SA will be performed to increase the relevance of the student's interests to recommend a course by implementing Fuzzy Logic and K-nearest neighbors. These algorithms will be evaluated by performance metrics such as accuracy to determine the most efficient way to recommend a course. The findings highlight the importance of considering students' subjective preferences and interests for better outcomes regarding student success and graduation rates.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808321","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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