Microclimate variables are important factors that affect adaptive thermal comfort. These factors include air temperature, solar radiation, air humidity, and wind speed. This study focuses on discussing microclimate variables, specifically air temperature and air humidity. This is based on previous research indicating that the most influential climate variables are air temperature, solar radiation, and air humidity. This study is a field research aimed at comparing air temperature and air humidity between campus 1 and campus 2 of Khairun University, due to differences in geographical elevation. Measurements were taken in March. The variables of air temperature and air humidity were measured inside the building. The research results show significant differences between campus 1 and campus 2. These differences can be associated with the perceived adaptive thermal comfort by the users. The thermal sensation results direct that the majority of users in campus 2 feel cool, while the majority of users in campus 1 feel comfortable or neutral. These findings provide a strong basis for improving adaptive thermal comfort in both campuses by considering optimal air temperature and air humidity settings.
{"title":"The Influence of Latitude on the Climatic Characteristics of Classroom in Campus 1 and Campus 2 of Khairun University in Achieving Adaptive Thermal Comfort","authors":"None Tayeb Mustamin, None Nasrullah, None Sayyid Quraisy, None Aswar Masri","doi":"10.47577/technium.v17i.10083","DOIUrl":"https://doi.org/10.47577/technium.v17i.10083","url":null,"abstract":"Microclimate variables are important factors that affect adaptive thermal comfort. These factors include air temperature, solar radiation, air humidity, and wind speed. This study focuses on discussing microclimate variables, specifically air temperature and air humidity. This is based on previous research indicating that the most influential climate variables are air temperature, solar radiation, and air humidity. This study is a field research aimed at comparing air temperature and air humidity between campus 1 and campus 2 of Khairun University, due to differences in geographical elevation. Measurements were taken in March. The variables of air temperature and air humidity were measured inside the building. The research results show significant differences between campus 1 and campus 2. These differences can be associated with the perceived adaptive thermal comfort by the users. The thermal sensation results direct that the majority of users in campus 2 feel cool, while the majority of users in campus 1 feel comfortable or neutral. These findings provide a strong basis for improving adaptive thermal comfort in both campuses by considering optimal air temperature and air humidity settings.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216475","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}
Biomass is one of the agricultural waste that can be used as an alternative fuel substitute that is converted first into a briquette, the goal is to become an environmentally friendly fuel. Corn cobs and rice straw are one of the most common types of agricultural products in East Java, therefore alternative fuel potentials that will be obtained will also be higher. Research conducted that is aimed at finding out the characteristics of solid fuel (briquettes) include: Braket's heat values, briquette water content, briquette gray content and drop tests on briquettes using a mixture of corn cobs and rice straw. Variation of a mixture between corn cobs and rice straw of 1 kg, where 1 kg of corn cob and rice straw uses a mixture ratio of 90%: 10%, 80%: 20%, 70%: 30%and 60%: 40%by using flour adhesive kanji of 0.001 kg. Also uses two pressure variations, namely: A = 2500 kPa and B = 5000 kPa used in briquettes. The results of research from the briquette characteristics such as: the highest heat value using a 90% corn cob mixture and 10% rice straw obtained at 5546.74 Cal/gram. The most optimal water content uses an emphasis load of 5000 kPa using a 90% corn cob mixture and 10% rice straw obtained a value of 11.30%. The most optimal ash content also uses an emphasis load of 5000 kPa using a 90% corn cob mixture and 10% rice straw obtained a value of 20.58%. While the drop test value on the briquette uses a 5000 kPa pressing load using a 60% corn cob mixture and 40% rice straw obtained a value of 11.10% the large reduction of pasticles when dropped from a height.
{"title":"Solid Biomass Uses A Mixture Of Agricultural Waste As An Alternative Fuel","authors":"None Rullie Annisa, None Ibnu Irawan, None Rifky Yusron, None Yusril Arifiyanto","doi":"10.47577/technium.v17i.10120","DOIUrl":"https://doi.org/10.47577/technium.v17i.10120","url":null,"abstract":"Biomass is one of the agricultural waste that can be used as an alternative fuel substitute that is converted first into a briquette, the goal is to become an environmentally friendly fuel. Corn cobs and rice straw are one of the most common types of agricultural products in East Java, therefore alternative fuel potentials that will be obtained will also be higher. Research conducted that is aimed at finding out the characteristics of solid fuel (briquettes) include: Braket's heat values, briquette water content, briquette gray content and drop tests on briquettes using a mixture of corn cobs and rice straw. Variation of a mixture between corn cobs and rice straw of 1 kg, where 1 kg of corn cob and rice straw uses a mixture ratio of 90%: 10%, 80%: 20%, 70%: 30%and 60%: 40%by using flour adhesive kanji of 0.001 kg. Also uses two pressure variations, namely: A = 2500 kPa and B = 5000 kPa used in briquettes. The results of research from the briquette characteristics such as: the highest heat value using a 90% corn cob mixture and 10% rice straw obtained at 5546.74 Cal/gram. The most optimal water content uses an emphasis load of 5000 kPa using a 90% corn cob mixture and 10% rice straw obtained a value of 11.30%. The most optimal ash content also uses an emphasis load of 5000 kPa using a 90% corn cob mixture and 10% rice straw obtained a value of 20.58%. While the drop test value on the briquette uses a 5000 kPa pressing load using a 60% corn cob mixture and 40% rice straw obtained a value of 11.10% the large reduction of pasticles when dropped from a height.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"32 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135217252","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}
In some areas the distribution of telecommunications networks is not evenly distributed, one example is in the city of Ternate. Several areas in the city of Ternate. The purpose of this study is to determine the quality of the 4G LTE network from providers in the city of Ternate, namely (Telkomsel and Indosat) using the G-Nettrack Pro application, the parameters measured are rsrp or network strength, The method used in this study is the drive test, The results showed that the RSRP distribution of Telkomsel operators in Sasa Village had a percentage of 43.05% with a sample of 155. Meanwhile, Indosat operators had a percentage of 34.83% with a sample of 117, the RSRP distribution of Telkomsel operators in Gambesi Village had a percentage of 42.02% with a sample of 133. While Indosat Operators have a percentage of 24.64% with a sample of 70, RSRP Distribution of Telkomsel Operators in the Stadium Village has a percentage of 64.29% with a sample of 117. Meanwhile, Indosat Operators have a percentage of 53.05% with a sample of 87, Distribution of RSRP Telkomsel Operators in Kelurahan Stadiums have a percentage of 57.76% with a sample of 145. Meanwhile, Indosat Operators have a percentage of 37.18% with a sample of 87.
{"title":"Comprative Analysis of 4G Network Quality Between Telkomsel and Indosat Operators Using the G-Net Track Pro Application in the City of Ternate","authors":"None Irwan Abdullah, None Zulaeha Mabud, None Fahrizal Djohar, None Fedi Haryanto H Tjan","doi":"10.47577/technium.v17i.10062","DOIUrl":"https://doi.org/10.47577/technium.v17i.10062","url":null,"abstract":"In some areas the distribution of telecommunications networks is not evenly distributed, one example is in the city of Ternate. Several areas in the city of Ternate. The purpose of this study is to determine the quality of the 4G LTE network from providers in the city of Ternate, namely (Telkomsel and Indosat) using the G-Nettrack Pro application, the parameters measured are rsrp or network strength, The method used in this study is the drive test, The results showed that the RSRP distribution of Telkomsel operators in Sasa Village had a percentage of 43.05% with a sample of 155. Meanwhile, Indosat operators had a percentage of 34.83% with a sample of 117, the RSRP distribution of Telkomsel operators in Gambesi Village had a percentage of 42.02% with a sample of 133. While Indosat Operators have a percentage of 24.64% with a sample of 70, RSRP Distribution of Telkomsel Operators in the Stadium Village has a percentage of 64.29% with a sample of 117. Meanwhile, Indosat Operators have a percentage of 53.05% with a sample of 87, Distribution of RSRP Telkomsel Operators in Kelurahan Stadiums have a percentage of 57.76% with a sample of 145. Meanwhile, Indosat Operators have a percentage of 37.18% with a sample of 87.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"133 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135161841","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 : 2023-11-01DOI: 10.47577/technium.v17i.10073
None Raudha Hakim, None Nurmaiyasa Marsaoly, None Muhammad Arby Somadayo
Land transportation mode is the main means of transportation to reach campus II Unkhair Gambesi which can be accessed using motorbikes and public transportation. Ternate City is one of the cities in North Maluku Province which has many important activities in the fields of education, politics, and economy. In addition, the center of government of North Maluku province is also still in the Ternate City area, so it also has an impact on the development of the lives of the people of Ternate City. This study aims to determine the effect of cost and travel time on the selection of transportation modes between private vehicles (motorcycles) and public transportation using the state preference method. This study uses the Stated preference method used for an approach by using respondents' opinions on various alternative options on the attributes of travel costs and travel time to transportation modes Private Vehicles (Motorcycles) and Public Transportation Case Study: Central Ternate – Campus II Unkhair Gambesi. The results of this study used linear regression analysis and the binary logit method. And it can be concluded that the chance of choosing a Private Vehicle (Motorcycle) is 74% while the chance of choosing public transportation is 26%.
{"title":"Study of Transportasi Mode Selection to Khairun University Campus with Binary Logit Method","authors":"None Raudha Hakim, None Nurmaiyasa Marsaoly, None Muhammad Arby Somadayo","doi":"10.47577/technium.v17i.10073","DOIUrl":"https://doi.org/10.47577/technium.v17i.10073","url":null,"abstract":"Land transportation mode is the main means of transportation to reach campus II Unkhair Gambesi which can be accessed using motorbikes and public transportation. Ternate City is one of the cities in North Maluku Province which has many important activities in the fields of education, politics, and economy. In addition, the center of government of North Maluku province is also still in the Ternate City area, so it also has an impact on the development of the lives of the people of Ternate City. This study aims to determine the effect of cost and travel time on the selection of transportation modes between private vehicles (motorcycles) and public transportation using the state preference method. This study uses the Stated preference method used for an approach by using respondents' opinions on various alternative options on the attributes of travel costs and travel time to transportation modes Private Vehicles (Motorcycles) and Public Transportation Case Study: Central Ternate – Campus II Unkhair Gambesi. The results of this study used linear regression analysis and the binary logit method. And it can be concluded that the chance of choosing a Private Vehicle (Motorcycle) is 74% while the chance of choosing public transportation is 26%.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"128 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135161846","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 : 2023-11-01DOI: 10.47577/technium.v17i.10085
None M. Ilham Maulana, None Muhammad sabri Ahmad, None Arifandi Mario M, None Achmad Fuad
The government of the Education Office of North Maluku Province is trying to overcome the problem of student distribution for schools in the city of Ternate, especially SMA/SMK/equivalent which aims to make all schools quality and there are no more superior schools. However, new problems arise related to the zoning system itself, sometimes some parents of prospective students and prospective students themselves do not know the schools in their domicile zone. The problem formulation is how to create and compile a Geographic Information System Mapping SMA and SMK in Ternate City. Designing a geographic information system that can provide information about web-based SMA and SMK Mapping in Ternate City and become a reference for the community in choosing their or their children's schools according to the zoning system. For testing the system is in accordance with the stages tested where for testing the system is used black box testing, namely testing to see the suitability of data accessed. The high school and vocational recession geographic information system was built using the PHP programming language, Mysql as a database, while for making locations of high school and vocational high school vulnerable places using google maps, maps API. All high school and vocational tracking information system uploads use black boxes, run as expected on the system upload carried out. From the results of this design, it will make it easier for parents to find information on SMA and SMK schools, such as the domicile zone of the school where they live.
{"title":"Web-Based Geographical Information System Mapping High School and Vocational School In The City Of Ternate","authors":"None M. Ilham Maulana, None Muhammad sabri Ahmad, None Arifandi Mario M, None Achmad Fuad","doi":"10.47577/technium.v17i.10085","DOIUrl":"https://doi.org/10.47577/technium.v17i.10085","url":null,"abstract":"The government of the Education Office of North Maluku Province is trying to overcome the problem of student distribution for schools in the city of Ternate, especially SMA/SMK/equivalent which aims to make all schools quality and there are no more superior schools. However, new problems arise related to the zoning system itself, sometimes some parents of prospective students and prospective students themselves do not know the schools in their domicile zone. The problem formulation is how to create and compile a Geographic Information System Mapping SMA and SMK in Ternate City. Designing a geographic information system that can provide information about web-based SMA and SMK Mapping in Ternate City and become a reference for the community in choosing their or their children's schools according to the zoning system. For testing the system is in accordance with the stages tested where for testing the system is used black box testing, namely testing to see the suitability of data accessed. The high school and vocational recession geographic information system was built using the PHP programming language, Mysql as a database, while for making locations of high school and vocational high school vulnerable places using google maps, maps API. All high school and vocational tracking information system uploads use black boxes, run as expected on the system upload carried out. From the results of this design, it will make it easier for parents to find information on SMA and SMK schools, such as the domicile zone of the school where they live.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"23 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216416","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 : 2023-11-01DOI: 10.47577/technium.v17i.10080
None Sudirman Hi Umar, None Muhammad Taufiq Y.S, None Nurmaiyasa Marsaoly
The construction of a new airport in Loleo Tidore Islands City acts as a transportation network node and supports economic growth and local government activities in North Maluku, that this airport is projected for the connectivity of the IWIP Industrial Estate and the capital of North Maluku Province (Sofifi City). The data collection methods used in this study include observation and literature study. The analyzed facilities consist of airside facilities consisting of a runway, taxiway, and apron. While the land-side facilities to be analysed consist of facilities in public zones, technical zones, and supporting zones. Other facilities that will be analysed also in this study consist of flight navigation facilities, visual landing aids, communication and information facilities, PKP-PK facilities, and PLLU facilities. The results of the analysis of total land requirements for the construction of new airport facilities in Loleo City Tidore Islands phase 1 amounted to 200 Ha and phase 2 amounted to 200 Ha so the total land needed was 400 Ha. The annual passenger movement of Phase I amounted to 569,443 passengers in Phase II amounted to 1,175,839 passengers, the plan the length of the runway Phase I along 1600 m served the largest aircraft ATR 72-600, and phase II 2500 m served the largest aircraft, namely Boeing 737-900 ER, and the farthest route of phase I development was Loleo - Ambon and the farthest route of phase II development was Loleo – Jakarta.
{"title":"Analysis of New Loleo Airport Facilities in Tidore City Islands","authors":"None Sudirman Hi Umar, None Muhammad Taufiq Y.S, None Nurmaiyasa Marsaoly","doi":"10.47577/technium.v17i.10080","DOIUrl":"https://doi.org/10.47577/technium.v17i.10080","url":null,"abstract":"The construction of a new airport in Loleo Tidore Islands City acts as a transportation network node and supports economic growth and local government activities in North Maluku, that this airport is projected for the connectivity of the IWIP Industrial Estate and the capital of North Maluku Province (Sofifi City). The data collection methods used in this study include observation and literature study. The analyzed facilities consist of airside facilities consisting of a runway, taxiway, and apron. While the land-side facilities to be analysed consist of facilities in public zones, technical zones, and supporting zones. Other facilities that will be analysed also in this study consist of flight navigation facilities, visual landing aids, communication and information facilities, PKP-PK facilities, and PLLU facilities. The results of the analysis of total land requirements for the construction of new airport facilities in Loleo City Tidore Islands phase 1 amounted to 200 Ha and phase 2 amounted to 200 Ha so the total land needed was 400 Ha. The annual passenger movement of Phase I amounted to 569,443 passengers in Phase II amounted to 1,175,839 passengers, the plan the length of the runway Phase I along 1600 m served the largest aircraft ATR 72-600, and phase II 2500 m served the largest aircraft, namely Boeing 737-900 ER, and the farthest route of phase I development was Loleo - Ambon and the farthest route of phase II development was Loleo – Jakarta.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"76 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216514","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}
Medical Information Retrieval (Med-IR )is part of computer science that discusses the search for a medical document. Medical Information Retrieval is needed by patients to know the initial prediction of the symptoms they are experiencing. ARI (Acute Respiratory Infection) is a disease that almost everyone has experienced which can cause death. This study uses a dataset of ARI sufferers and user queries that contain symptoms in text form. Furthermore, the query data is processed with the Med-IR application using Bi-Gram, TF-IDF as the feature extraction and Cosine Similarity as the similarity method, so that a return document is produced which is expected to be used as an early prediction of ARI in patients. The research also uses a critical disease wighting process, so that the results of the Med-IR are complemented by predictions of the severity level of the disease. From the results of research conducted at the Assyafi'u Sentosa Lengkong Clinic, Nganjuk, the best results were obtained for precision values of 85.5% and 52.9% for recall values . The evaluation of disease severity with Mean Absolute Percentage Error (MAPE) getting a low score of 2,529%. Keyword : Medical Information Retrieval, ARI, Weighting critical disease, Bi-Gram, TF-IDF, Cosine Similarity.
{"title":"Medical Information Retrieval with Weighting Critical Score for Acute Respiratory Infection (ARI) Desease Detection","authors":"None Fika Hastarita Rachman, None Rike Ayu Arista, None Ika Oktavia Suzanti, None Yonathan Ferry Hendrawan, None Aryono Yerey Wibowo","doi":"10.47577/technium.v17i.10124","DOIUrl":"https://doi.org/10.47577/technium.v17i.10124","url":null,"abstract":"Medical Information Retrieval (Med-IR )is part of computer science that discusses the search for a medical document. Medical Information Retrieval is needed by patients to know the initial prediction of the symptoms they are experiencing. ARI (Acute Respiratory Infection) is a disease that almost everyone has experienced which can cause death. This study uses a dataset of ARI sufferers and user queries that contain symptoms in text form. Furthermore, the query data is processed with the Med-IR application using Bi-Gram, TF-IDF as the feature extraction and Cosine Similarity as the similarity method, so that a return document is produced which is expected to be used as an early prediction of ARI in patients. The research also uses a critical disease wighting process, so that the results of the Med-IR are complemented by predictions of the severity level of the disease. From the results of research conducted at the Assyafi'u Sentosa Lengkong Clinic, Nganjuk, the best results were obtained for precision values of 85.5% and 52.9% for recall values . The evaluation of disease severity with Mean Absolute Percentage Error (MAPE) getting a low score of 2,529%. Keyword : Medical Information Retrieval, ARI, Weighting critical disease, Bi-Gram, TF-IDF, Cosine Similarity.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216679","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}
Research objectives to determine the effect of treating pineapple leaf fiber (PLF) with liquid smoke on the tensile toughness of composites and the impact strength of pineapple leaf fiber (PLF) reinforcement. The Method of immersing the fiber with liquid smoke was done in 1, 2, and 3 hours, then heating it in the oven at 40⁰c for 30 minutes. A tensile and impact test specimen following the ASTM D638 – Type IV standard and ASTM D5942 standard. The tensile strength of the composite at 1 hour of treatment was 64.42 MPa; at 2 hours, it increased by 72.53 MPa, and at 3 hours, it increased again by 74.65 MPa. In the composite impact test with fiber reinforcement, the 1-hour treatment was 9.32 J/m², the 2-hour treatment increased by 13.44 J/m², and the 3-hour immersion decreased by 10.21 J/m². The effect of liquid smoke treatment processing on PLF on the tensile strength and impact toughness of the composites shows that the PLF reinforcing composite experienced the most significant change in tensile strength at 3 hours of treatment, and impact toughness occurred at 2 hours of treatment; this shows that liquid smoke can change the strength of PLF to be stronger and tougher.
{"title":"Effect of Processing Treatment of Pineapple Leaf Fiber (PLF) with Liquid Smoke on Tensile Properties and Impact of Pineapple Fiber Reinforced Composites","authors":"None Mukhlis Muslimin, None Kifli Umar, None Sandi Rais, None Raulia Taib","doi":"10.47577/technium.v17i.10071","DOIUrl":"https://doi.org/10.47577/technium.v17i.10071","url":null,"abstract":"Research objectives to determine the effect of treating pineapple leaf fiber (PLF) with liquid smoke on the tensile toughness of composites and the impact strength of pineapple leaf fiber (PLF) reinforcement. The Method of immersing the fiber with liquid smoke was done in 1, 2, and 3 hours, then heating it in the oven at 40⁰c for 30 minutes. A tensile and impact test specimen following the ASTM D638 – Type IV standard and ASTM D5942 standard. The tensile strength of the composite at 1 hour of treatment was 64.42 MPa; at 2 hours, it increased by 72.53 MPa, and at 3 hours, it increased again by 74.65 MPa. In the composite impact test with fiber reinforcement, the 1-hour treatment was 9.32 J/m², the 2-hour treatment increased by 13.44 J/m², and the 3-hour immersion decreased by 10.21 J/m². The effect of liquid smoke treatment processing on PLF on the tensile strength and impact toughness of the composites shows that the PLF reinforcing composite experienced the most significant change in tensile strength at 3 hours of treatment, and impact toughness occurred at 2 hours of treatment; this shows that liquid smoke can change the strength of PLF to be stronger and tougher.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"48 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135216945","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}
The importance of occupational safety and health (OHS) in the construction industry, especially in the construction project of the operating room at Dr.H. Chasan Boesoirie Ternate Hospital. This study used a questionnaire method and direct observation of respondents involved in the project. The results showed that the project had met occupational standards safety, but there was a need for improvement in the availability of flammable materials and evacuation routes. The company provides adequate PPE and health facilities. Prioritizing OHS in the project can avoid losses and prevent accidents, thus providing long-term benefits.
{"title":"Occupational Safety and Health (OSH) in Construction Projects in Ternate City","authors":"None Endah Harisun, None Hery Purnomo, None Suhartini Suhartini","doi":"10.47577/technium.v17i.10057","DOIUrl":"https://doi.org/10.47577/technium.v17i.10057","url":null,"abstract":"The importance of occupational safety and health (OHS) in the construction industry, especially in the construction project of the operating room at Dr.H. Chasan Boesoirie Ternate Hospital. This study used a questionnaire method and direct observation of respondents involved in the project. The results showed that the project had met occupational standards safety, but there was a need for improvement in the availability of flammable materials and evacuation routes. The company provides adequate PPE and health facilities. Prioritizing OHS in the project can avoid losses and prevent accidents, thus providing long-term benefits.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"142 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135162041","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 : 2023-11-01DOI: 10.47577/technium.v17i.10069
None Muhammad Haris Irham, None Abdul Mubarak, None Munazat Salmin, None Rosihan
This research discusses the use of a Convolutional Neural Network (CNN) with the MobileNetV2 model in the real-time detection of human facial expressions. This research aims to develop a human face expression detection system using deep learning algorithms. This study used the observation data collection method and obtained secondary data from the FER2013 data set which contains 28,709 training samples, 3,859 validation data sets, and 3,859 test samples, for a total of 35,887 images with a resolution of 48x48 and seven categories of facial expressions. The training results showed that the CNN model using MobileNetV2 achieved an accuracy of 57% in the training process and 51% in the validation process. Based on the analysis of these results, testing using a confusion matrix with an accuracy of 51% concluded that the model was unable to properly recognize patterns of data with disgust and fear categories, leading to low accuracy. Some factors contributing to the system's inability to recognize expressions were due to similarities between facial expressions such as sad and fearful, or sad and disgusted. This study provides new insights into the development of technology for detecting human facial expressions using deep learning and the MobileNetV2 model.
{"title":"Detecting Face Expressions in Real-Time Using Convolutional Neural Network (CNN) Algorithm","authors":"None Muhammad Haris Irham, None Abdul Mubarak, None Munazat Salmin, None Rosihan","doi":"10.47577/technium.v17i.10069","DOIUrl":"https://doi.org/10.47577/technium.v17i.10069","url":null,"abstract":"This research discusses the use of a Convolutional Neural Network (CNN) with the MobileNetV2 model in the real-time detection of human facial expressions. This research aims to develop a human face expression detection system using deep learning algorithms. This study used the observation data collection method and obtained secondary data from the FER2013 data set which contains 28,709 training samples, 3,859 validation data sets, and 3,859 test samples, for a total of 35,887 images with a resolution of 48x48 and seven categories of facial expressions. The training results showed that the CNN model using MobileNetV2 achieved an accuracy of 57% in the training process and 51% in the validation process. Based on the analysis of these results, testing using a confusion matrix with an accuracy of 51% concluded that the model was unable to properly recognize patterns of data with disgust and fear categories, leading to low accuracy. Some factors contributing to the system's inability to recognize expressions were due to similarities between facial expressions such as sad and fearful, or sad and disgusted. This study provides new insights into the development of technology for detecting human facial expressions using deep learning and the MobileNetV2 model.","PeriodicalId":490649,"journal":{"name":"Technium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135161112","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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