The increasing energy demand in Indonesia, driven by rapid technological advancements across various industries and a growing population, necessitates the exploration of alternative energy sources. The reliance on traditional Steam Power Plants has contributed to rising greenhouse gas emissions and increasing operational costs, prompting the need for cleaner and more sustainable energy solutions. Solar energy emerges as a promising alternative to address these challenges. This study focuses on developing a solar power generation system capable of meeting the electrical energy needs in isolated areas. Using the PVsyst application, a new renewable energy system was designed to cater to the electricity requirements of residential homes. The study findings indicate that the system can generate 13,683 watts of electrical energy using eight solar panels, each with a capacity of 330 Wp. Additionally, the system includes 15 batteries with a capacity of 250 Ah to store energy. The designed system successfully meets the daily electricity demand of 8,210 watts for residential homes. To maximize solar energy absorption, the optimal tilt angle for the solar panels was determined to be 7 degrees. This study demonstrates that solar power generation systems are a viable and effective alternative for fulfilling electrical energy needs in isolated areas, offering a sustainable solution to reduce greenhouse gas emissions and reliance on conventional power sources.
{"title":"Optimizing Solar Power Generation for Residential Loads in Remote Regions of Indonesia","authors":"Agung Nugraha, Rico Armadan, Taryo","doi":"10.56532/mjsat.v4i3.355","DOIUrl":"https://doi.org/10.56532/mjsat.v4i3.355","url":null,"abstract":"The increasing energy demand in Indonesia, driven by rapid technological advancements across various industries and a growing population, necessitates the exploration of alternative energy sources. The reliance on traditional Steam Power Plants has contributed to rising greenhouse gas emissions and increasing operational costs, prompting the need for cleaner and more sustainable energy solutions. Solar energy emerges as a promising alternative to address these challenges. This study focuses on developing a solar power generation system capable of meeting the electrical energy needs in isolated areas. Using the PVsyst application, a new renewable energy system was designed to cater to the electricity requirements of residential homes. The study findings indicate that the system can generate 13,683 watts of electrical energy using eight solar panels, each with a capacity of 330 Wp. Additionally, the system includes 15 batteries with a capacity of 250 Ah to store energy. The designed system successfully meets the daily electricity demand of 8,210 watts for residential homes. To maximize solar energy absorption, the optimal tilt angle for the solar panels was determined to be 7 degrees. This study demonstrates that solar power generation systems are a viable and effective alternative for fulfilling electrical energy needs in isolated areas, offering a sustainable solution to reduce greenhouse gas emissions and reliance on conventional power sources.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"30 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924868","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}
Fatini Nadhirah Mohd Nain, Najihah Ahmad Latif, N. H. Ahamed Hassain Malim, Rosni Abdullah, Muhamad Farid Abdul Rahim, Mohd Azinuddin Ahmad Mokhtar, Nurul Syafika Mohamad Fauzi
The various molecular markers employed in breeding programs have been identified in the last decade of the 20th century. Molecular marker development has significantly altered genetics. Molecular markers are not only utilised in connecting diagrams, but often involved during genetic differences in cultivars and germplasm evaluations in various plant breeding applications. Quantitative trait loci (QTL) and marker-assisted selection (MAS) are among the most interesting molecular markers utilisation. This review primarily aims to offer the knowledge required for the survival of plants developed via new molecular marker techniques and genetic modification implementation in oil palm breeding. Research in palm breeding is critical to gain insights into oil palm growth. This study could serve as a useful guide to understand oil palm development studies and improve existing prediction methods. Genetic markers crucial for oil palm development are also highlighted in the present study. Furthermore, a study gap was also identified.
{"title":"A Review on the Framework for Identifying High-yielding and Stress-tolerant Oil Palm with Molecular Markers","authors":"Fatini Nadhirah Mohd Nain, Najihah Ahmad Latif, N. H. Ahamed Hassain Malim, Rosni Abdullah, Muhamad Farid Abdul Rahim, Mohd Azinuddin Ahmad Mokhtar, Nurul Syafika Mohamad Fauzi","doi":"10.56532/mjsat.v3i3.172","DOIUrl":"https://doi.org/10.56532/mjsat.v3i3.172","url":null,"abstract":"The various molecular markers employed in breeding programs have been identified in the last decade of the 20th century. Molecular marker development has significantly altered genetics. Molecular markers are not only utilised in connecting diagrams, but often involved during genetic differences in cultivars and germplasm evaluations in various plant breeding applications. Quantitative trait loci (QTL) and marker-assisted selection (MAS) are among the most interesting molecular markers utilisation. This review primarily aims to offer the knowledge required for the survival of plants developed via new molecular marker techniques and genetic modification implementation in oil palm breeding. Research in palm breeding is critical to gain insights into oil palm growth. This study could serve as a useful guide to understand oil palm development studies and improve existing prediction methods. Genetic markers crucial for oil palm development are also highlighted in the present study. Furthermore, a study gap was also identified.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"2019 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345474","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}
Sze Wei Fong, Nurfaten Hamzah, N. H. Ahamed Hassain Malim, J. M. Abdullah
As neurotechnologies have gotten better, a lot of neuroscientific research has been done using these new technologies. Even though labs all over the world produce a lot of neuro-data, most of this data has not been shared to help people from different fields understand neuroscience. The neuro-data sharing is essential because it accelerates the pace of discovery in neuroscience. Effective data sharing will depend on the standardized use of file or data formats, highly reusable data analytics tools, and data storage formats. In this review paper, we review the four domains (data format, data model, data repository, and data analytics) that are currently in use in the neuroscience community. In the end, we are discussing several challenges associated with data sharing.
{"title":"Neuroscience Data Formats, Models, Repositories and Analytics: A Review","authors":"Sze Wei Fong, Nurfaten Hamzah, N. H. Ahamed Hassain Malim, J. M. Abdullah","doi":"10.56532/mjsat.v3i3.155","DOIUrl":"https://doi.org/10.56532/mjsat.v3i3.155","url":null,"abstract":"As neurotechnologies have gotten better, a lot of neuroscientific research has been done using these new technologies. Even though labs all over the world produce a lot of neuro-data, most of this data has not been shared to help people from different fields understand neuroscience. The neuro-data sharing is essential because it accelerates the pace of discovery in neuroscience. Effective data sharing will depend on the standardized use of file or data formats, highly reusable data analytics tools, and data storage formats. In this review paper, we review the four domains (data format, data model, data repository, and data analytics) that are currently in use in the neuroscience community. In the end, we are discussing several challenges associated with data sharing.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139363006","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}
This research work has developed a classic method to synthesize high crystalline ~50nm copper (Cu) nanoparticles at a low temperature of 80oC. While nanoparticle synthesis is a concern, a rapid chemical reduction method (CRM) was introduced by reducing copper salts and an appropriate capping agent. The capping agent facilities controlled the movement and formation of nanoparticles that were further investigated by X-ray Diffraction (XRD), Thermo-gravimetric Analysis (TGA), Transmission Electron Microscope (TEM), and Selected Area Electron Diffraction (SAED) as well as TEM couple EDS. The such in-depth analysis demonstrates a 100% crystalline phase with having to predominate (111), (200), and (220) planes and 84% purity. The medium and process protocol selection may be adapted to synthesize other nanoparticles for different functional applications.
{"title":"One-pot Low-Temperature Synthesis of High Crystalline Cu Nanoparticles","authors":"Md. Ashraful Alam, Mobashsara Tabassum Mobashsara, Sabrina Mostofa Sabrina, Raton Kumar Bishwas, Debasish Sarkar Debasish, Shirin Akter Jahan Shirin","doi":"10.56532/mjsat.v3i2.132","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.132","url":null,"abstract":"This research work has developed a classic method to synthesize high crystalline ~50nm copper (Cu) nanoparticles at a low temperature of 80oC. While nanoparticle synthesis is a concern, a rapid chemical reduction method (CRM) was introduced by reducing copper salts and an appropriate capping agent. The capping agent facilities controlled the movement and formation of nanoparticles that were further investigated by X-ray Diffraction (XRD), Thermo-gravimetric Analysis (TGA), Transmission Electron Microscope (TEM), and Selected Area Electron Diffraction (SAED) as well as TEM couple EDS. The such in-depth analysis demonstrates a 100% crystalline phase with having to predominate (111), (200), and (220) planes and 84% purity. The medium and process protocol selection may be adapted to synthesize other nanoparticles for different functional applications.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122893284","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}
Muhammad Zaid, Hazim Johari, Mohamadinejad Amir, Syakirin Shafie, A. Zainuddin, Abu Ubaidah, Ammar Haziq Annas, M. Syafiq, Asyraf Bharudin, Mohamad Nur, Badri Mahazir, Alin Nur, Maisarah Ahmad Razmi, Nur Anis, Sofea Kamarul Zaman, Nur Adlin, Muhammad Zahid
Traditional car rental systems are cumbersome for both consumers and rental companies due to the manual and time-consuming nature of the process. This work proposes the integration of a car rental system using mobile app administration and IoT (accident detection system) to address this issue. The system consists of an e-commerce platform and an IoT-powered Accident Detection System. The e-commerce platform enables users to rent automobiles and make payments online, while the Accident Detection System assists car owners in identifying any incidents involving rented vehicles. A Google survey conducted among the IIUM community (consisting primarily of students and staff) revealed that 96% of users and 100% of vehicle owners are in favour of a mobile application for car rentals and the installation of an accident detection system in rental cars. Through simulation, seat belt detection and accident detection have been developed, and future include implementing real-time monitoring using IoT technology to monitor rental compliance, locate vehicles requiring maintenance, and locate stolen vehicles. The proposed system has the potential to make automobile rental services more convenient and secure.
{"title":"Design and Implementation of a Smart Safety System for Rental Cars Using IoT and E-Commerce Mobile App Integration for IIUM Community","authors":"Muhammad Zaid, Hazim Johari, Mohamadinejad Amir, Syakirin Shafie, A. Zainuddin, Abu Ubaidah, Ammar Haziq Annas, M. Syafiq, Asyraf Bharudin, Mohamad Nur, Badri Mahazir, Alin Nur, Maisarah Ahmad Razmi, Nur Anis, Sofea Kamarul Zaman, Nur Adlin, Muhammad Zahid","doi":"10.56532/mjsat.v3i2.156","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.156","url":null,"abstract":"Traditional car rental systems are cumbersome for both consumers and rental companies due to the manual and time-consuming nature of the process. This work proposes the integration of a car rental system using mobile app administration and IoT (accident detection system) to address this issue. The system consists of an e-commerce platform and an IoT-powered Accident Detection System. The e-commerce platform enables users to rent automobiles and make payments online, while the Accident Detection System assists car owners in identifying any incidents involving rented vehicles. A Google survey conducted among the IIUM community (consisting primarily of students and staff) revealed that 96% of users and 100% of vehicle owners are in favour of a mobile application for car rentals and the installation of an accident detection system in rental cars. Through simulation, seat belt detection and accident detection have been developed, and future include implementing real-time monitoring using IoT technology to monitor rental compliance, locate vehicles requiring maintenance, and locate stolen vehicles. The proposed system has the potential to make automobile rental services more convenient and secure.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131159068","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}
Due to the warm and humid environment of Bangladesh, it is highly exposed to occurring perpetuation of various viruses which cause diseases in crops. A huge number of crops are wasted because of these occurring diseases and it directly hurts the production rate and forces import of crops in bulkier amount. Unmanned aerial vehicle usage is one of the smart agriculture technologies being researched for agricultural applications (UAVs) in these days. UAV technology allows farmers to quickly gather information on field conditions by providing overhead images of their agricultural fields or even allowing them to zoom in on a particular area. Using UAV technology, farmers may identify specific areas that need immediate attention and perform the necessary agricultural improvements. Drones collect data that farmers can use to detect crop disease by applying deep learning algorithms to make long-term decisions about planting, land mapping, damage control, and other things. This research uses blockchain technology to establish connection between suppliers and customers by enabling information to be tracked throughout the supply chain and enhances food supply chain safety. It offers a secure method of broadcasting data, focusing on enhancement of supply chain management and prediction of crops which makes it possible to implement and deploy data-driven technologies for smart farming. The research uses UAVs as a means of collecting crop images, implements a prediction model using AlexNet CNN and analyses how it performs with a real Bangladeshi crop disease dataset to help farmers from excessive crop damage. Furthermore, the overall process is carried out using the Blockchain technology to enhance the existing supply chain management process.
{"title":"Blockchain based Agriculture Using the Application of UAV and Deep Learning Technique: Alexnet CNN","authors":"Sadia Kazi, Ariyan Jahangir","doi":"10.56532/mjsat.v3i2.147","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.147","url":null,"abstract":"Due to the warm and humid environment of Bangladesh, it is highly exposed to occurring perpetuation of various viruses which cause diseases in crops. A huge number of crops are wasted because of these occurring diseases and it directly hurts the production rate and forces import of crops in bulkier amount. Unmanned aerial vehicle usage is one of the smart agriculture technologies being researched for agricultural applications (UAVs) in these days. UAV technology allows farmers to quickly gather information on field conditions by providing overhead images of their agricultural fields or even allowing them to zoom in on a particular area. Using UAV technology, farmers may identify specific areas that need immediate attention and perform the necessary agricultural improvements. Drones collect data that farmers can use to detect crop disease by applying deep learning algorithms to make long-term decisions about planting, land mapping, damage control, and other things. This research uses blockchain technology to establish connection between suppliers and customers by enabling information to be tracked throughout the supply chain and enhances food supply chain safety. It offers a secure method of broadcasting data, focusing on enhancement of supply chain management and prediction of crops which makes it possible to implement and deploy data-driven technologies for smart farming. The research uses UAVs as a means of collecting crop images, implements a prediction model using AlexNet CNN and analyses how it performs with a real Bangladeshi crop disease dataset to help farmers from excessive crop damage. Furthermore, the overall process is carried out using the Blockchain technology to enhance the existing supply chain management process.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237555","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}
Samples of fresh cassava effluent, cassava effluent polluted soil and unpolluted soil were collected during the rainy season to evaluate the effect on the physicochemical characteristics of the soil in Aba, Abia State. The physical and chemical parameters of the untreated cassava mill effluent, untreated cassava mill effluent-polluted soil and unpolluted soil were determined using standard laboratory methods. It was observed that addition of cassava mill effluent to the soil resulted to changes in the physicochemical parameters. The cyanide content, conductivity, turbidity, moisture content, TDS, TSS, TS, total acidity, total alkalinity, total chloride, and magnesium were higher in the contaminated soil samples than the unpolluted soil. The values of pH, Total hardness, calcium hardness, phosphorus, organic carbon, COD and BOD of the contaminated soil samples were lower than those of the unpolluted soil due to high content of hydrogen cyanide present in the contaminated soil. The high cynogenic potential had been attributed to the high cyanogenic glucoside (linamarin and lotaustralin) contained in cassava. The pH range of the untreated cassava mill effluent and the untreated cassava mill effluent polluted soil were completely acidic while the unpolluted soil was neutral indicating that the effluent impacted acidic properties to the soil. Phosphorus buildup in the unpolluted soil can be caused by excessive use of inorganic fertilizer or use of composts and manures high in phosphorus. The effluent from cassava plant when discharged on soil causes physicochemical changes in the soil, which calls for serious concern if the soil will be used for agricultural and other purposes. Therefore, cassava mills must be owned and managed by individuals who have basic knowledge of environmental protection.
{"title":"Evaluation of the impact of untreated cassava mill effluent on the physicochemical properties of the soil in Aba, Abia State, Nigeria.","authors":"Rosemary Eberechukwu Okoye, Onuorah Samuel, Abba Oluchi","doi":"10.56532/mjsat.v3i2.153","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.153","url":null,"abstract":"Samples of fresh cassava effluent, cassava effluent polluted soil and unpolluted soil were collected during the rainy season to evaluate the effect on the physicochemical characteristics of the soil in Aba, Abia State. The physical and chemical parameters of the untreated cassava mill effluent, untreated cassava mill effluent-polluted soil and unpolluted soil were determined using standard laboratory methods. It was observed that addition of cassava mill effluent to the soil resulted to changes in the physicochemical parameters. The cyanide content, conductivity, turbidity, moisture content, TDS, TSS, TS, total acidity, total alkalinity, total chloride, and magnesium were higher in the contaminated soil samples than the unpolluted soil. The values of pH, Total hardness, calcium hardness, phosphorus, organic carbon, COD and BOD of the contaminated soil samples were lower than those of the unpolluted soil due to high content of hydrogen cyanide present in the contaminated soil. The high cynogenic potential had been attributed to the high cyanogenic glucoside (linamarin and lotaustralin) contained in cassava. The pH range of the untreated cassava mill effluent and the untreated cassava mill effluent polluted soil were completely acidic while the unpolluted soil was neutral indicating that the effluent impacted acidic properties to the soil. Phosphorus buildup in the unpolluted soil can be caused by excessive use of inorganic fertilizer or use of composts and manures high in phosphorus. The effluent from cassava plant when discharged on soil causes physicochemical changes in the soil, which calls for serious concern if the soil will be used for agricultural and other purposes. Therefore, cassava mills must be owned and managed by individuals who have basic knowledge of environmental protection.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"185 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121042501","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}
Elia Chipfupi, Desire Runganga, Tatenda Nyamagudza, C. Chewu, Nomsa Mukudzavu
Redwing Mine, historically one of the major gold mines in Zimbabwe operated by Metalon Gold has since been on the brink of closure for over five years. Currently, the mine is merely operating at 10% capacity due to the issuing of mining tributes to small-scale and artisanal miners and poor water management. The artisanal miners are sterilizing an economically viable gold deposit by employing rudimentary mining techniques targeting high grades hence resuscitating the mine should be of national priority. To increase production, revenue, and accountability, the mine needs to be resuscitated to its full operation based on sound mining engineering and economic principles. Resuscitation of abandoned mines to full operation consist of reserve identification, dewatering, review of the ground support system and production planning. Exploration, water measurements, and geotechnical data collection surveys were done to estimate the reserve, select optimum pumps for dewatering and design a ground support system. Production Plans were developed from Redwing Mine’s plant capacity, available machinery, and historical production data. Development work and operations necessary to be completed before production can begin were derived from survey plans. The restoration program was evaluated using the Net Present Value method and Internal Rate of Return techniques. Results proved that the project is economically feasible with an internal rate of return as high as 71.91%.
{"title":"Abandoned Mines: A Feasibility Analysis for Full-Scale Resuscitation of Redwing Gold Mine Operations","authors":"Elia Chipfupi, Desire Runganga, Tatenda Nyamagudza, C. Chewu, Nomsa Mukudzavu","doi":"10.56532/mjsat.v3i2.136","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.136","url":null,"abstract":"Redwing Mine, historically one of the major gold mines in Zimbabwe operated by Metalon Gold has since been on the brink of closure for over five years. Currently, the mine is merely operating at 10% capacity due to the issuing of mining tributes to small-scale and artisanal miners and poor water management. The artisanal miners are sterilizing an economically viable gold deposit by employing rudimentary mining techniques targeting high grades hence resuscitating the mine should be of national priority. To increase production, revenue, and accountability, the mine needs to be resuscitated to its full operation based on sound mining engineering and economic principles. Resuscitation of abandoned mines to full operation consist of reserve identification, dewatering, review of the ground support system and production planning. Exploration, water measurements, and geotechnical data collection surveys were done to estimate the reserve, select optimum pumps for dewatering and design a ground support system. Production Plans were developed from Redwing Mine’s plant capacity, available machinery, and historical production data. Development work and operations necessary to be completed before production can begin were derived from survey plans. The restoration program was evaluated using the Net Present Value method and Internal Rate of Return techniques. Results proved that the project is economically feasible with an internal rate of return as high as 71.91%.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128694520","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}
Industrial development has begun to have a negative impact on the entire environment. The constant need and agreed of humans has resulted in the formation of massive polluting industries. Manufacturing, chemical and fertilizer industries are among those that are depleting the earth’s resources while also putting enormous strain on the environment and ecological system. Water pollution is well-known to be a growing problem of 21st century all over the earth. The planet’s natural diversity is affect seriously by any human activity. Rapid industrialization is an index of development of a nation, however; a rising in population growth alters it unfavorably. India, a developing nation has a challenge of maintaining a balance between these and the environment. In India, there has been a rapid growth in industrialization after freedom. The aims of this review paper represent the link between industrial effluents and define sources of water pollution present development in the research on the fresh water aquatic ecosystems.
{"title":"Causes and Impact of Industrial Effluents on Receiving Water Bodies: A Review","authors":"Sarwat Jahan, Ajay K. Singh","doi":"10.56532/mjsat.v3i2.144","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.144","url":null,"abstract":"Industrial development has begun to have a negative impact on the entire environment. The constant need and agreed of humans has resulted in the formation of massive polluting industries. Manufacturing, chemical and fertilizer industries are among those that are depleting the earth’s resources while also putting enormous strain on the environment and ecological system. Water pollution is well-known to be a growing problem of 21st century all over the earth. The planet’s natural diversity is affect seriously by any human activity. Rapid industrialization is an index of development of a nation, however; a rising in population growth alters it unfavorably. India, a developing nation has a challenge of maintaining a balance between these and the environment. In India, there has been a rapid growth in industrialization after freedom. The aims of this review paper represent the link between industrial effluents and define sources of water pollution present development in the research on the fresh water aquatic ecosystems.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910112","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}
This paper uses routing segmentation optimization for the planning of optimal distribution networks between urban depots and their respective customers. In this experiment, three steps are proposed in concession: search for the initial solution using local search properties, improve the solution using route relocation and perturb the solution using tabu search incorporating the savings heuristic. By applying multi-depot simultaneous deployment with ideal scheduling strategies and routing heuristics ensuring cost-optimal routing, the study presents an alternative to enhanced scheduling system optimization. Based on repopulation and sequential insertion algorithms, the initial solution is created, while route relocation and tabu swap mechanisms constitute the improvement strategy and perturbation. Test results comparing the proposed solution strategy to the previous genetic algorithm solution result in a better arrangement of route segregation aspects representing customer clusters. This strategy has proven to be more successful in optimizing route segregation than the original genetic algorithm solution. This demonstrates a significant improvement in route optimization.
{"title":"Distribution Path Segmentation Using Route Relocation and Savings Heuristics for Multi-Depot Vehicle Routing","authors":"F. Morsidi","doi":"10.56532/mjsat.v3i2.154","DOIUrl":"https://doi.org/10.56532/mjsat.v3i2.154","url":null,"abstract":"This paper uses routing segmentation optimization for the planning of optimal distribution networks between urban depots and their respective customers. In this experiment, three steps are proposed in concession: search for the initial solution using local search properties, improve the solution using route relocation and perturb the solution using tabu search incorporating the savings heuristic. By applying multi-depot simultaneous deployment with ideal scheduling strategies and routing heuristics ensuring cost-optimal routing, the study presents an alternative to enhanced scheduling system optimization. Based on repopulation and sequential insertion algorithms, the initial solution is created, while route relocation and tabu swap mechanisms constitute the improvement strategy and perturbation. Test results comparing the proposed solution strategy to the previous genetic algorithm solution result in a better arrangement of route segregation aspects representing customer clusters. This strategy has proven to be more successful in optimizing route segregation than the original genetic algorithm solution. This demonstrates a significant improvement in route optimization.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116104494","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}