This study aims to examine the impact of capital structure on the bank performance of Janata Bank Limited (JBL) from 2011 to 2021. Furthermore, the goal of this study is to determine the connection between debt combinations and financial performance. For analysis, secondary data are mainly used from the last 11 years (2011-2021) annual reports of Janata Bank Limited. In this study capital structure measures (long-term debt on equity, long-term debt on the asset, total debt on equity, total debt on the asset, short-term debt on equity, short-term debt asset) are selected as the independent variables, and performance measures (return on asset, return on equity, return on investment) were considered as the dependent variables. As statistical tools, regression and correlation analysis have been used in this study. The study's findings demonstrated a strong correlation between JBL's capital structure and financial performance.
本研究旨在研究2011年至2021年Janata bank Limited (JBL)资本结构对银行业绩的影响。此外，本研究的目的是确定债务组合与财务绩效之间的联系。为了进行分析，二手数据主要来自Janata Bank Limited过去11年(2011-2021)的年报。本研究选择资本结构指标(长期权益负债、长期资产负债、权益负债总额、资产负债总额、短期权益负债、短期负债资产)作为自变量，绩效指标(资产收益率、权益收益率、投资收益率)作为因变量。本研究采用回归分析和相关分析作为统计工具。研究结果表明，JBL的资本结构与财务绩效之间存在很强的相关性。
{"title":"IMPACT OF CAPITAL STRUCTURE ON BANK PERFORMANCE: A STUDY ON JANATA BANK LIMITED OF BANGLADESH","authors":"H. Begum, S. Rimu, J. Ara","doi":"10.59125/jst.20211","DOIUrl":"https://doi.org/10.59125/jst.20211","url":null,"abstract":"This study aims to examine the impact of capital structure on the bank performance of Janata Bank Limited (JBL) from 2011 to 2021. Furthermore, the goal of this study is to determine the connection between debt combinations and financial performance. For analysis, secondary data are mainly used from the last 11 years (2011-2021) annual reports of Janata Bank Limited. In this study capital structure measures (long-term debt on equity, long-term debt on the asset, total debt on equity, total debt on the asset, short-term debt on equity, short-term debt asset) are selected as the independent variables, and performance measures (return on asset, return on equity, return on investment) were considered as the dependent variables. As statistical tools, regression and correlation analysis have been used in this study. The study's findings demonstrated a strong correlation between JBL's capital structure and financial performance.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84687153","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}
Education field is a sign of advancement over the countries that can adopt technology to serve it. It will help to improve and enhance future achievements and be in touch with the development of technology utilizing solutions that extract student data, including their school records and other vital information about their performance, which can facilitate this process. These data are then analyzed to identify factors that affect the academic performance of the students at the school by expanding data mining techniques to enhance student academic performance. These factors are examined to develop a predictive model. Machine learning (ML) is one artificial intelligence (AI) field that can use such a model that supports educational institutions and decision-makers. A predictive method is applied using the data mining (DM) technique to take proactive action in identifying and anticipating the student's path. The data was analyzed, and the findings showed that the decision tree algorithm recorded the fastest training time for every 1000 rows. Also, the fast-scoring time for 1000 rows was in the decision tree algorithm, which was around 195 milliseconds, and the longest scoring time occurred in the random forest algorithm, which was two seconds. The top percent of classification errors reached 51% for the logistic regression algorithm and around +-1.5% of standard deviation. It took 520 mile-second for scoring time with 690 Gains for 67 m/s training time in every 1000 rows of the datasets. The findings of this study can help parents and teachers better understand the factors that influence students' academic performance and support them in assisting students with improving their academic performance.
{"title":"Analyzing the Factors that Influence Enhancing Student Performance in Oman using Data Mining","authors":"Said Mohammed Alrashdi, A. Zeki","doi":"10.20428/jst.v27i1.1981","DOIUrl":"https://doi.org/10.20428/jst.v27i1.1981","url":null,"abstract":"Education field is a sign of advancement over the countries that can adopt technology to serve it. It will help to improve and enhance future achievements and be in touch with the development of technology utilizing solutions that extract student data, including their school records and other vital information about their performance, which can facilitate this process. These data are then analyzed to identify factors that affect the academic performance of the students at the school by expanding data mining techniques to enhance student academic performance. These factors are examined to develop a predictive model. Machine learning (ML) is one artificial intelligence (AI) field that can use such a model that supports educational institutions and decision-makers. A predictive method is applied using the data mining (DM) technique to take proactive action in identifying and anticipating the student's path. The data was analyzed, and the findings showed that the decision tree algorithm recorded the fastest training time for every 1000 rows. Also, the fast-scoring time for 1000 rows was in the decision tree algorithm, which was around 195 milliseconds, and the longest scoring time occurred in the random forest algorithm, which was two seconds. The top percent of classification errors reached 51% for the logistic regression algorithm and around +-1.5% of standard deviation. It took 520 mile-second for scoring time with 690 Gains for 67 m/s training time in every 1000 rows of the datasets. The findings of this study can help parents and teachers better understand the factors that influence students' academic performance and support them in assisting students with improving their academic performance.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80925261","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 Asyraf Bin Rodzoan, Adamu Abubakar, A. Zeki
The study's objective is to investigate the business intelligence (BI) capabilities of public sector organizations as well as the essential success variables associated with those skills. The research was carried out due to the fact that there has been a growth in the usage of BI, and a large number of the tools that are utilized in its operations are not reviewed, despite the fact that the influence of the user is considered to be one of the primary concerns associated with it. The study used a quantitative research method to look at Malaysian organizations and come up with some hypotheses to test the variables related to BI's capabilities in the public sector of an organization. There were good, reasonable samples of people who took part in the research. A questionnaire was used to get the information. When examined, the findings confirmed the correctness of every hypothesis made. Therefore, there is a connection between elements involving infrastructure, teams, data, top-level support, and user participation in data quality. The findings of this study helped determine whether or not there is a correlation between data quality and the speed with which business data is updated across geographies, the precision with which data is captured, the timeline with which it is processed and reported, and the ease with which key performance measures can be established at various operational levels within the company.
{"title":"Business Intelligence Capabilities and Critical Success Factors in Public Sector Company of Malaysia","authors":"Muhammad Asyraf Bin Rodzoan, Adamu Abubakar, A. Zeki","doi":"10.20428/jst.v27i1.1985","DOIUrl":"https://doi.org/10.20428/jst.v27i1.1985","url":null,"abstract":"The study's objective is to investigate the business intelligence (BI) capabilities of public sector organizations as well as the essential success variables associated with those skills. The research was carried out due to the fact that there has been a growth in the usage of BI, and a large number of the tools that are utilized in its operations are not reviewed, despite the fact that the influence of the user is considered to be one of the primary concerns associated with it. The study used a quantitative research method to look at Malaysian organizations and come up with some hypotheses to test the variables related to BI's capabilities in the public sector of an organization. There were good, reasonable samples of people who took part in the research. A questionnaire was used to get the information. When examined, the findings confirmed the correctness of every hypothesis made. Therefore, there is a connection between elements involving infrastructure, teams, data, top-level support, and user participation in data quality. The findings of this study helped determine whether or not there is a correlation between data quality and the speed with which business data is updated across geographies, the precision with which data is captured, the timeline with which it is processed and reported, and the ease with which key performance measures can be established at various operational levels within the company.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76096508","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}
Abdul Shabir Ahmadzai, Qurban Yazdani, A. Abubakar
Information and Communication Technology (ICT) is the central part of Intelligent systems. Business Intelligence (BI) utilizes ICT resources and capabilities to enhance decision-making from the available information. One of the core components of ICT resources is the network. Hypertext Transfer Protocol (HTTP) is an application layer protocol in a network model responsible for handling "requests" in a transmission session. Transmission Control Protocol (TCP) establishes connections session and keeps track of the state of the communication session. Unfortunately, a request from a critical online transaction over TCP in a BI environment is bound to face some uncertainty. There is a lack of studies on the impact of communication over transmission sessions on BI operations. This paper presented an experimental evaluation of the BI transaction transmission session. Various transactions were performed to monitor and analyze the request made with HTTP over a TCP transmission session. Both the HTTP and TCP features for all transactions were captured. The finding indicates that time is highly associated with less traffic congestion and transaction overhead.
信息和通信技术(ICT)是智能系统的核心部分。商业智能(BI)利用ICT资源和能力从可用信息中增强决策。信息通信技术资源的核心组成部分之一是网络。超文本传输协议(HTTP)是网络模型中的应用层协议，负责处理传输会话中的“请求”。TCP (Transmission Control Protocol，传输控制协议)建立连接会话并跟踪通信会话的状态。不幸的是，来自BI环境中通过TCP进行的关键在线事务的请求必然会面临一些不确定性。目前缺乏关于通信对BI操作的影响的研究。本文对BI事务传输会话进行了实验评估。执行各种事务来监视和分析通过TCP传输会话使用HTTP发出的请求。捕获了所有事务的HTTP和TCP特性。这一发现表明，时间与较少的交通拥堵和事务开销高度相关。
{"title":"Analysis of Business Intelligence Systems Transmission Session","authors":"Abdul Shabir Ahmadzai, Qurban Yazdani, A. Abubakar","doi":"10.20428/jst.v27i1.1984","DOIUrl":"https://doi.org/10.20428/jst.v27i1.1984","url":null,"abstract":"Information and Communication Technology (ICT) is the central part of Intelligent systems. Business Intelligence (BI) utilizes ICT resources and capabilities to enhance decision-making from the available information. One of the core components of ICT resources is the network. Hypertext Transfer Protocol (HTTP) is an application layer protocol in a network model responsible for handling \"requests\" in a transmission session. Transmission Control Protocol (TCP) establishes connections session and keeps track of the state of the communication session. Unfortunately, a request from a critical online transaction over TCP in a BI environment is bound to face some uncertainty. There is a lack of studies on the impact of communication over transmission sessions on BI operations. This paper presented an experimental evaluation of the BI transaction transmission session. Various transactions were performed to monitor and analyze the request made with HTTP over a TCP transmission session. Both the HTTP and TCP features for all transactions were captured. The finding indicates that time is highly associated with less traffic congestion and transaction overhead.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85697177","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}
Building growth technology is rapidly recognized globally as a key aspect in the future of construction projects. However, construction robotics and automation (CRA) have yet to undergo significant reality deployment. The latest substantial sustainability requirement is the necessary cause for the more extensive implementation of construction robotics and automation. Nevertheless, there are small attempts at a detailed investigation of the effect of using construction robotics and automation on the sustainability efficiency of buildings and construction. Still, structured advice for the building industry is lacking in this sense. The study in this paper represents the first step towards addressing by analyzing and examining the construction robotics and automation techniques and available innovations and, for the first time, creating a coherent system of metrics for measuring the sustainability efficiency of construction robotics and automation usage in buildings. The ultimate objective of the study must therefore be the creation of a rigorous and consistent methodology for evaluating, within this framework, the feasibility of construction robotics and automation in the construction projects context.
{"title":"Assessing Construction Automation and Robotics in the Sustainability Sense","authors":"Mabrouka Shahat Younis","doi":"10.20428/jst.v27i1.1986","DOIUrl":"https://doi.org/10.20428/jst.v27i1.1986","url":null,"abstract":"Building growth technology is rapidly recognized globally as a key aspect in the future of construction projects. However, construction robotics and automation (CRA) have yet to undergo significant reality deployment. The latest substantial sustainability requirement is the necessary cause for the more extensive implementation of construction robotics and automation. Nevertheless, there are small attempts at a detailed investigation of the effect of using construction robotics and automation on the sustainability efficiency of buildings and construction. Still, structured advice for the building industry is lacking in this sense. The study in this paper represents the first step towards addressing by analyzing and examining the construction robotics and automation techniques and available innovations and, for the first time, creating a coherent system of metrics for measuring the sustainability efficiency of construction robotics and automation usage in buildings. The ultimate objective of the study must therefore be the creation of a rigorous and consistent methodology for evaluating, within this framework, the feasibility of construction robotics and automation in the construction projects context.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90849396","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 : 2022-11-10DOI: 10.30880/jst.2022.14.02.003
Dharshini Devi Subramaniam, Soon Chong Johnson Lim
Statistical process control (SPC) implementation plays a major role in quality assurance during the manufacturing process. Nevertheless, the adoption rate of SPC commercial software solutions is unsatisfactory in most Malaysian manufacturing companies due to high software subscription costs and difficulties in applying the software without proper know-how, guidance, and training. This study proposes the development of a purpose-built interactive data visualization web application for rapid SPC analysis in the manufacturing industry using open-sourced software packages. An agile software development model is applied as the software development methodology. In the requirement phase, an interview session was conducted to identify project requirements among stakeholders, i.e. industrial practitioners that are involved with SPC analysis. Based on the feedback and expectations from stakeholders, a design of a web application for SPC analysis that incorporates interactive parameter settings and automated reporting was proposed. The web application was developed using the R programming language and the Shiny package library, and deployed at ShinyApps.io, a web service provider. For evaluation, a usability testing procedure was designed and conducted with five industrial SPC practitioners to determine the usefulness of the web application. The outcome of the usability testing indicated positive results and feedback from evaluators. In conclusion, the developed web-app can assist users, particularly from the manufacturing industry sectors, to perform fast SPC data analytics, visualization, and reporting with ease.
{"title":"An Interactive Visualization Web Application for Industrial-Focused Statistical Process Control Analysis","authors":"Dharshini Devi Subramaniam, Soon Chong Johnson Lim","doi":"10.30880/jst.2022.14.02.003","DOIUrl":"https://doi.org/10.30880/jst.2022.14.02.003","url":null,"abstract":"Statistical process control (SPC) implementation plays a major role in quality assurance during the manufacturing process. Nevertheless, the adoption rate of SPC commercial software solutions is unsatisfactory in most Malaysian manufacturing companies due to high software subscription costs and difficulties in applying the software without proper know-how, guidance, and training. This study proposes the development of a purpose-built interactive data visualization web application for rapid SPC analysis in the manufacturing industry using open-sourced software packages. An agile software development model is applied as the software development methodology. In the requirement phase, an interview session was conducted to identify project requirements among stakeholders, i.e. industrial practitioners that are involved with SPC analysis. Based on the feedback and expectations from stakeholders, a design of a web application for SPC analysis that incorporates interactive parameter settings and automated reporting was proposed. The web application was developed using the R programming language and the Shiny package library, and deployed at ShinyApps.io, a web service provider. For evaluation, a usability testing procedure was designed and conducted with five industrial SPC practitioners to determine the usefulness of the web application. The outcome of the usability testing indicated positive results and feedback from evaluators. In conclusion, the developed web-app can assist users, particularly from the manufacturing industry sectors, to perform fast SPC data analytics, visualization, and reporting with ease.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81241492","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 : 2022-11-10DOI: 10.30880/jst.2022.14.02.002
K. Igwe
This paper investigates the degree of influence of weather and the environment on radio signal propagation between a Very High Frequency (VHF) band transmitter and a receiver in the North Central region of Nigeria. Signal strength measurements were made from a Frequency Modulation (FM) station broadcasting at 100.5 MHz using a digital signal level meter. The results obtained showed that received signal strength (RSS) values were higher during the wet season with average values ranging between 41 dBμV and 50 dBμV as compared to lower values of between 36 dBμV and 48 dBμV recorded during the dry season. The computed radio refractivity revealed similar trend of low dry season values in the range of 291 N-units to 345 N-units and high wet season values ranging between 350 N-units and 363 N-units. Also, the cumulative frequency distribution of the signal level computed showed that 50 dBμV had the highest number of samples, while 60 dBμV and 70 dBμV recorded the lowest number of samples. In addition, dry season values of attenuation deduced ranged between 1.6 dB and 2.8 dB, while average wet season attenuation values vary from 1.4 dB to 2.3 dB. Finally, the RSS was modeled using ITU-R P.526-12 to predict losses due to diffraction over the earth’s curvature, and the results obtained revealed that the model underestimated the RSS for the radio link.
{"title":"Characteristics of VHF Line-Of-Sight Propagation for Point-To-Area Network in A Tropical Atmosphere","authors":"K. Igwe","doi":"10.30880/jst.2022.14.02.002","DOIUrl":"https://doi.org/10.30880/jst.2022.14.02.002","url":null,"abstract":"This paper investigates the degree of influence of weather and the environment on radio signal propagation between a Very High Frequency (VHF) band transmitter and a receiver in the North Central region of Nigeria. Signal strength measurements were made from a Frequency Modulation (FM) station broadcasting at 100.5 MHz using a digital signal level meter. The results obtained showed that received signal strength (RSS) values were higher during the wet season with average values ranging between 41 dBμV and 50 dBμV as compared to lower values of between 36 dBμV and 48 dBμV recorded during the dry season. The computed radio refractivity revealed similar trend of low dry season values in the range of 291 N-units to 345 N-units and high wet season values ranging between 350 N-units and 363 N-units. Also, the cumulative frequency distribution of the signal level computed showed that 50 dBμV had the highest number of samples, while 60 dBμV and 70 dBμV recorded the lowest number of samples. In addition, dry season values of attenuation deduced ranged between 1.6 dB and 2.8 dB, while average wet season attenuation values vary from 1.4 dB to 2.3 dB. Finally, the RSS was modeled using ITU-R P.526-12 to predict losses due to diffraction over the earth’s curvature, and the results obtained revealed that the model underestimated the RSS for the radio link.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82856388","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 : 2022-11-10DOI: 10.30880/jst.2022.14.02.004
Awang Mohd Ashraffarhan, Mohd Hazimin Mohd Salleh, Nur Shuhada Muhamad Tajudin
The ecological concern over soil and groundwater pollution caused by agricultural activities has led to the growing interestin precision agriculture. One of the most common types of fertilizer is the nitrogen fertilizer which needed in major amount for plant growth. Over fertilization will contaminate soil and groundwater which can have adverse effect on environment and human health.The main purpose of this research is to measure soil nitrate concentration using nitrate ion-selective electrode (ISE) sensor and Arduino programmable microcontroller. The optimum soil-to-water ratio and the effect of soil solution clarity will be investigated. Standard sampling procedures was conducted at oil palm plantation area, Felda Bukit Goh, Pahang, Malaysia. Validation of the results were carried out in the laboratory. The recorded data indicated accurate readings for Nitrate ISE Arduino wasR² = 0.84. The soil-to-water ratio of 1:2.5 was observed as an optimal proportion ISE analysis. A clear soil solution was crucial for maintaining the accuracy of ISE sensor, to avoid declining of 46.2% accuracy.These results could assist researchers and farmers to accurately monitor the concentrations of soil nitrate on the field effectively as well as an insight to ISE sensor with Arduino technologies.
农业活动对土壤和地下水污染的生态问题引起了人们对精准农业的关注。氮肥是最常用的肥料之一，是植物生长所需的大量氮肥。过度施肥会污染土壤和地下水，对环境和人体健康产生不利影响。本研究的主要目的是利用硝酸离子选择电极(ISE)传感器和Arduino可编程微控制器测量土壤硝酸盐浓度。研究了最佳土水比和土壤溶液清晰度的影响。在马来西亚彭亨州Felda Bukit Goh油棕种植区进行了标准抽样程序。在实验室中对结果进行了验证。记录的数据表明，硝酸盐ISE Arduino的准确读数为r²= 0.84。ISE分析发现，土壤与水的比例为1:25 .5为最佳比例。清澈的土壤溶液对于保持ISE传感器的精度至关重要，避免了46.2%的精度下降。这些结果可以帮助研究人员和农民准确有效地监测田间土壤硝酸盐浓度，以及利用Arduino技术洞察ISE传感器。
{"title":"Analysis of Soil Nitrate Ion Selective Electrode (ISE) Sensor Using Arduino UNO","authors":"Awang Mohd Ashraffarhan, Mohd Hazimin Mohd Salleh, Nur Shuhada Muhamad Tajudin","doi":"10.30880/jst.2022.14.02.004","DOIUrl":"https://doi.org/10.30880/jst.2022.14.02.004","url":null,"abstract":"The ecological concern over soil and groundwater pollution caused by agricultural activities has led to the growing interestin precision agriculture. One of the most common types of fertilizer is the nitrogen fertilizer which needed in major amount for plant growth. Over fertilization will contaminate soil and groundwater which can have adverse effect on environment and human health.The main purpose of this research is to measure soil nitrate concentration using nitrate ion-selective electrode (ISE) sensor and Arduino programmable microcontroller. The optimum soil-to-water ratio and the effect of soil solution clarity will be investigated. Standard sampling procedures was conducted at oil palm plantation area, Felda Bukit Goh, Pahang, Malaysia. Validation of the results were carried out in the laboratory. The recorded data indicated accurate readings for Nitrate ISE Arduino wasR² = 0.84. The soil-to-water ratio of 1:2.5 was observed as an optimal proportion ISE analysis. A clear soil solution was crucial for maintaining the accuracy of ISE sensor, to avoid declining of 46.2% accuracy.These results could assist researchers and farmers to accurately monitor the concentrations of soil nitrate on the field effectively as well as an insight to ISE sensor with Arduino technologies.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78629886","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 : 2022-11-10DOI: 10.30880/jst.2022.14.02.005
T. Otunla, A. Umoren
Thorough knowledge of the wind characteristics and variations are of great importance in the development of wind energy resource in any location. This study examines the wind characteristics and assess the potential of two distribution functions in a low wind equatorial region of West Africa. High resolution wind speed and direction data were obtained from a site in Nsukka, a location chosen in the region of study. Diurnal, seasonal and annual variations of both the wind speed and directions were examined. The potentials of two-parameter Weibull distribution and another distribution function based on Maximum Entropy principle (MEP) were assessed using R2 and root mean squared error (RMSE). The results indicated that day-time is windier than night-time. The transitions months of February, March and April have the highest wind speed. The dry season has greater energy potential than rainy season. The predominant wind direction lay within the sectors: South-South-West and East. The predominant wind sector for February, March and April is South-East. The R2for daily, sub-seasonal day-time and night-time, monthly, and annual ranged between 0.90 and 0.99 for both MEP-based and Weibull distributions. The daily, sub-seasonal day-time and night-time, monthly, and annual RMSE also ranged between 0.011 to 0.075 for MEP-based and Weibull distribution respectively. Thus, both MEP-based and Weibull two-parameter distribution functions can be used to model wind data at the location of study.
{"title":"Wind Characteristics and Potentials of Two-Parameter Weibull Distribution and Maximum Entropy-Based Distribution Functions at an Equatorial Location","authors":"T. Otunla, A. Umoren","doi":"10.30880/jst.2022.14.02.005","DOIUrl":"https://doi.org/10.30880/jst.2022.14.02.005","url":null,"abstract":"Thorough knowledge of the wind characteristics and variations are of great importance in the development of wind energy resource in any location. This study examines the wind characteristics and assess the potential of two distribution functions in a low wind equatorial region of West Africa. High resolution wind speed and direction data were obtained from a site in Nsukka, a location chosen in the region of study. Diurnal, seasonal and annual variations of both the wind speed and directions were examined. The potentials of two-parameter Weibull distribution and another distribution function based on Maximum Entropy principle (MEP) were assessed using R2 and root mean squared error (RMSE). The results indicated that day-time is windier than night-time. The transitions months of February, March and April have the highest wind speed. The dry season has greater energy potential than rainy season. The predominant wind direction lay within the sectors: South-South-West and East. The predominant wind sector for February, March and April is South-East. The R2for daily, sub-seasonal day-time and night-time, monthly, and annual ranged between 0.90 and 0.99 for both MEP-based and Weibull distributions. The daily, sub-seasonal day-time and night-time, monthly, and annual RMSE also ranged between 0.011 to 0.075 for MEP-based and Weibull distribution respectively. Thus, both MEP-based and Weibull two-parameter distribution functions can be used to model wind data at the location of study.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"16 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73733430","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 : 2022-11-10DOI: 10.30880/jst.2022.14.02.001
Nur ’Izqa Ashiqin Mohd Najib, Siti Amira Othman
Conducting polymers have previously been employed in biosensors because they may be used as immobilisation matrices as well as redox systems. Also have numerous uses in medical, pharmacy, environmental monitoring, food and process control. The conductivity of polyaniline-based compositions may be precisely regulated over a broad range. Polyaniline is ease to synthesis, has high conductivity and good performance in biosensor applications. However, polyaniline is not entirely perfect because of its poor solubility in many solvents and low adhesion to different substrate. In this study, hydrochloric acid (HCl) and sulphuric acid (H2SO4) were prepared with different concentration (0.2M, 0.4M, 0.6M, 0.8, 1.0M) for doping process of polyaniline. Fourier-transform Spectroscopy (FTIR), Ultraviolet Spectroscopy (UV-Vis) and Scanning Electron Microscopy(SEM) were used to characterize the properties and morphology of the polyaniline. Four-point probe was used to identify the conductivity of the polyaniline sample. FTIR shows a shift peak at benzenoid rings and quioniod rings. Both acids represent that 1.0 M have high absorbance properties. While SEM shows significant different of agglomeration rate for HCl compared to H2SO4. Lastly, the results showed that the conductivity increasing when the concentration of acids increasing. Doping process helps in enhancing the conductivity properties of polyaniline for biosensor application.
{"title":"Study The Different Concentrations of Hydrochloric and Sulphuric Acid as Dopants for Polyaniline","authors":"Nur ’Izqa Ashiqin Mohd Najib, Siti Amira Othman","doi":"10.30880/jst.2022.14.02.001","DOIUrl":"https://doi.org/10.30880/jst.2022.14.02.001","url":null,"abstract":"Conducting polymers have previously been employed in biosensors because they may be used as immobilisation matrices as well as redox systems. Also have numerous uses in medical, pharmacy, environmental monitoring, food and process control. The conductivity of polyaniline-based compositions may be precisely regulated over a broad range. Polyaniline is ease to synthesis, has high conductivity and good performance in biosensor applications. However, polyaniline is not entirely perfect because of its poor solubility in many solvents and low adhesion to different substrate. In this study, hydrochloric acid (HCl) and sulphuric acid (H2SO4) were prepared with different concentration (0.2M, 0.4M, 0.6M, 0.8, 1.0M) for doping process of polyaniline. Fourier-transform Spectroscopy (FTIR), Ultraviolet Spectroscopy (UV-Vis) and Scanning Electron Microscopy(SEM) were used to characterize the properties and morphology of the polyaniline. Four-point probe was used to identify the conductivity of the polyaniline sample. FTIR shows a shift peak at benzenoid rings and quioniod rings. Both acids represent that 1.0 M have high absorbance properties. While SEM shows significant different of agglomeration rate for HCl compared to H2SO4. Lastly, the results showed that the conductivity increasing when the concentration of acids increasing. Doping process helps in enhancing the conductivity properties of polyaniline for biosensor application.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87168163","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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