UI GreenMetric is a guide for higher education institutions to raise awareness of sustainable development, sustainable research, building a green campus, and social influence. There are six assessment categories in UI GreenMetric. One of them is energy and climate change. The assessment point in energy and climate change is the implementation of smart buildings within the campus area. There is often pollution on campus. The campus still uses groundwater for daily sanitation; workshops' waste is discharged directly into the ground without any sewage treatment process; many private vehicles are in the campus area; and 30% of campus land has been used as vehicle parking lots. It is necessary to carry out a monitoring process to determine the concentration of CO2 in the air. For this reason, further study is needed on smart features that will be built to support UI GreenMetric concepts. It is expected to help monitor water, soil, and air environmental parameters. This smart would later be monitored remotely using the Internet of Things (IoT) method. The maximum result of air temperature is 32,3°C, the maximum level of CO2 is 526,8 ppm, the minimum humidity level is 47,2%RH, and the maximum level of PAR is 589,3 µ*mol/m2*s. The noise maximum level is 84 dB, and pH water maximum is 7,01. The density of students also caused an increase in some parameters. POLMED must concentrate on environmental sustainability. Therefore, we should pay for internal recycling water treatment, reducing the use of private vehicles, and expanding green open space.
{"title":"Performance Analysis of Environmental Monitoring System (EMS) towards POLMEDs Green Campus","authors":"Afritha Amelia, Bakti Viyata Sundawa, Marina Yusoff, Jasni Bt Mohamad Zain, Abdul Azis, - Suprianto, Roslina Roslina, Banu Afwan Pribadi","doi":"10.18517/ijaseit.13.5.19481","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19481","url":null,"abstract":"UI GreenMetric is a guide for higher education institutions to raise awareness of sustainable development, sustainable research, building a green campus, and social influence. There are six assessment categories in UI GreenMetric. One of them is energy and climate change. The assessment point in energy and climate change is the implementation of smart buildings within the campus area. There is often pollution on campus. The campus still uses groundwater for daily sanitation; workshops' waste is discharged directly into the ground without any sewage treatment process; many private vehicles are in the campus area; and 30% of campus land has been used as vehicle parking lots. It is necessary to carry out a monitoring process to determine the concentration of CO2 in the air. For this reason, further study is needed on smart features that will be built to support UI GreenMetric concepts. It is expected to help monitor water, soil, and air environmental parameters. This smart would later be monitored remotely using the Internet of Things (IoT) method. The maximum result of air temperature is 32,3°C, the maximum level of CO2 is 526,8 ppm, the minimum humidity level is 47,2%RH, and the maximum level of PAR is 589,3 µ*mol/m2*s. The noise maximum level is 84 dB, and pH water maximum is 7,01. The density of students also caused an increase in some parameters. POLMED must concentrate on environmental sustainability. Therefore, we should pay for internal recycling water treatment, reducing the use of private vehicles, and expanding green open space.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":"60 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808163","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.13.5.18639
Itji Diana Daud, - Melina, Muhammad Junaid, Mustika Tuwo, Otniel Bin Hasri, Sri Rahayu
{"title":"A Laboratory Scale: Formulation Test and Bioassay of Beauveria bassiana (Bals.) Vuill. Alginate Pellet Carrier Pathogenic to Spodoptera frugiferda (J.E.Smith)","authors":"Itji Diana Daud, - Melina, Muhammad Junaid, Mustika Tuwo, Otniel Bin Hasri, Sri Rahayu","doi":"10.18517/ijaseit.13.5.18639","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.18639","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":"148 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929289","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":"17 5","pages":"0"},"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":"211 1","pages":"0"},"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":"292 1","pages":"0"},"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}
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":"16 3","pages":"0"},"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}
{"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":"20 1","pages":"0"},"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":"17 1","pages":"0"},"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.13.5.19032
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":"73 2","pages":"0"},"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}
Pub Date : 2023-10-31DOI: 10.18517/ijaseit.13.5.19245
Agung Setyarini, Endang Siti Rahayu, Joko Sutrisno, Sri Marwanti
{"title":"Food Security of Farmers’ Households in Watersheds (Case of the Keduang Watershed, Wonogiri Regency, Indonesia)","authors":"Agung Setyarini, Endang Siti Rahayu, Joko Sutrisno, Sri Marwanti","doi":"10.18517/ijaseit.13.5.19245","DOIUrl":"https://doi.org/10.18517/ijaseit.13.5.19245","url":null,"abstract":"","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929290","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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