W. Wisittipanich, C. Boonmee, K. Khwanngern, W. Chattinnawat
This study proposes a mathematical model for multi-period surgical scheduling problem with capacity constraint over a time horizon. The goal is to schedule a list of patients who must undergo various kinds of operations by different eligible hospitals. In particular, each operation must be performed in a particular time period and different operations of one patient can be performed by different eligible hospitals. In addition, each hospital has limited surgery capacity for each time period. The problem is formulated with a multi-objective model using the weighted sum approach of two objectives: minimization of makes pan and minimization of total least preference assignment score. The experiment is executed using the simulated data according to the real treatments of cleft lip and palate patients. The results show that the model yield the correct assignment and operation sequence respected to all constraints. Thus, this proposed mathematical model can be further used as smart decision tool in surgical scheduling in hospital network.
{"title":"A Mathematical Model for Multi-Period Surgical Scheduling with Capacity Constraint","authors":"W. Wisittipanich, C. Boonmee, K. Khwanngern, W. Chattinnawat","doi":"10.56225/ijgoia.v1i3.70","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i3.70","url":null,"abstract":"This study proposes a mathematical model for multi-period surgical scheduling problem with capacity constraint over a time horizon. The goal is to schedule a list of patients who must undergo various kinds of operations by different eligible hospitals. In particular, each operation must be performed in a particular time period and different operations of one patient can be performed by different eligible hospitals. In addition, each hospital has limited surgery capacity for each time period. The problem is formulated with a multi-objective model using the weighted sum approach of two objectives: minimization of makes pan and minimization of total least preference assignment score. The experiment is executed using the simulated data according to the real treatments of cleft lip and palate patients. The results show that the model yield the correct assignment and operation sequence respected to all constraints. Thus, this proposed mathematical model can be further used as smart decision tool in surgical scheduling in hospital network.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125312076","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}
Ady Inrawan, Yerisma Welly, Darwin Lie, Ruth Tridianty Sianipar, J. A. Putri
This study examines the effect of good corporate governance and financial performance on the value of state-owned enterprises (SEOs). The population of this study was all companies listed on the Indonesia stock exchange, with a sample of 20 SEOs companies in 2015-2019. The independent variables in this study were Good Corporate Governance with the Independent Board of Commissaries and the Audit Committee and financial performance with the Return on Equity proxy. The dependent variable in this study was the value of SEOs with the price to book value proxy. Hypotheses were tested using SPSS 21.0 software, and data were analysed using multiple linear regression tests. This study found that the Independent Board of Commissaries had a negative and significant effect on the value of SEOs; Audit Committee had a positive and significant effect on the value of SEOs. On the other side, ROE has a negative and insignificant effect on the value of SEOs.
{"title":"How Do Good Corporate Governance and Financial Performance Affect the Value of State-Owned Enterprises?","authors":"Ady Inrawan, Yerisma Welly, Darwin Lie, Ruth Tridianty Sianipar, J. A. Putri","doi":"10.56225/ijgoia.v1i3.73","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i3.73","url":null,"abstract":"This study examines the effect of good corporate governance and financial performance on the value of state-owned enterprises (SEOs). The population of this study was all companies listed on the Indonesia stock exchange, with a sample of 20 SEOs companies in 2015-2019. The independent variables in this study were Good Corporate Governance with the Independent Board of Commissaries and the Audit Committee and financial performance with the Return on Equity proxy. The dependent variable in this study was the value of SEOs with the price to book value proxy. Hypotheses were tested using SPSS 21.0 software, and data were analysed using multiple linear regression tests. This study found that the Independent Board of Commissaries had a negative and significant effect on the value of SEOs; Audit Committee had a positive and significant effect on the value of SEOs. On the other side, ROE has a negative and insignificant effect on the value of SEOs.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765967","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}
W. Wisittipanich, C. Boonmee, K. Khwanngern, W. Chattinnawat
This research proposes a mathematical model for multi-period surgical scheduling problem with capacity constraint over a particular time horizon. The goal is to schedule a list of patients who must undergo various kinds of operations by different eligible hospitals. In particular, each operation must be performed in a particular time period and different operations of one patient can be performed by different eligible hospitals. In addition, each hospital has limited surgery capacity for each time period. The problem is formulated with a multi-objective model using the weighted sum approach of two objectives: minimization of makespan and minimization of total least preference assignment score. The experiment is executed using the simulated data according to the real treatments of cleft lip and palate patients. The results show that the model yield the correct assignment and operation sequence respected to all constraints. Thus, this proposed mathematical model can be further used as smart decision tool in surgical scheduling in hospital network.
{"title":"The Multi-Period Surgical Scheduling with Capacity Constraint: A Mathematical Modelling Approach","authors":"W. Wisittipanich, C. Boonmee, K. Khwanngern, W. Chattinnawat","doi":"10.56225/ijgoia.v1i2.21","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.21","url":null,"abstract":"This research proposes a mathematical model for multi-period surgical scheduling problem with capacity constraint over a particular time horizon. The goal is to schedule a list of patients who must undergo various kinds of operations by different eligible hospitals. In particular, each operation must be performed in a particular time period and different operations of one patient can be performed by different eligible hospitals. In addition, each hospital has limited surgery capacity for each time period. The problem is formulated with a multi-objective model using the weighted sum approach of two objectives: minimization of makespan and minimization of total least preference assignment score. The experiment is executed using the simulated data according to the real treatments of cleft lip and palate patients. The results show that the model yield the correct assignment and operation sequence respected to all constraints. Thus, this proposed mathematical model can be further used as smart decision tool in surgical scheduling in hospital network.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204974","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}
Shipyard is a specialised facility equipped with various tools to support the process of building, repairing and maintaining ships. There are several types of variant ships, such as military ships, tourist boats, cargo ships and passenger ships. Apart from being a place for shipbuilding, shipyards are utilised to conduct several activities, such as ship design, equipment installation, plate installation, feasibility tests and classifications. There are many production activities and flows that allow for potential waste problems that impact labour usage, product quality, costs, and production time. This research aims to identify waste in shipbuilding production lines through a lean manufacturing approach. The lean manufacturing approach is one of the ways in shipyards to observe the level of waste in the production process to reduce unnecessary activities in the production process, which can increase production efficiency and effectiveness. This study approach begins with identifying waste in the production line through mapping on each line so that activities with no added value are identified. On the basis of the results of identification using the waste assessment model (WAM) method, which consists of a waste relationship matrix (WRM) and a waste assessment questionnaire (WAQ), waste is obtained, namely inventory (27,20%), overproduction (20.24%), defective products (20.04%), motion (12.47%), transportation (9.23%), waiting time (7.46%) and process (3.37%)
{"title":"Identifying the Shipyard Waste: An Application of the Lean Manufacturing Approach","authors":"Fitriadi Fitriadi, A. F. Ayob","doi":"10.56225/ijgoia.v1i2.19","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.19","url":null,"abstract":"Shipyard is a specialised facility equipped with various tools to support the process of building, repairing and maintaining ships. There are several types of variant ships, such as military ships, tourist boats, cargo ships and passenger ships. Apart from being a place for shipbuilding, shipyards are utilised to conduct several activities, such as ship design, equipment installation, plate installation, feasibility tests and classifications. There are many production activities and flows that allow for potential waste problems that impact labour usage, product quality, costs, and production time. This research aims to identify waste in shipbuilding production lines through a lean manufacturing approach. The lean manufacturing approach is one of the ways in shipyards to observe the level of waste in the production process to reduce unnecessary activities in the production process, which can increase production efficiency and effectiveness. This study approach begins with identifying waste in the production line through mapping on each line so that activities with no added value are identified. On the basis of the results of identification using the waste assessment model (WAM) method, which consists of a waste relationship matrix (WRM) and a waste assessment questionnaire (WAQ), waste is obtained, namely inventory (27,20%), overproduction (20.24%), defective products (20.04%), motion (12.47%), transportation (9.23%), waiting time (7.46%) and process (3.37%)","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115291972","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}
Diabetes is among the major public health problem especially in developing countries which cause by abnormal insulin secretion in human body. It is a common disease that can led to several health complications and mortality. In Malaysia, most of the cases are categorized as Diabetes Mellitus (DM) Type II. Patients with diabetes increases from year to year due to unhealthy lifestyles e.g. smoking, overweight and hypertension. Therefore, this study meant to identify the influential factors that may contribute to DM Type II by comparing the performance of different data mining approaches. Between April 2017 and November 2018, 684 patients from a public clinic participated in this retrospective cross-sectional study. Four predictive models involved in the study are Logistic Regression, Decision Tree, Naïve Bayes, and Artificial Neural Network (ANN). The error measures (Average Squared Error and Misclassification Rate) with ROC Index are used to evaluate the performance of the models. Results show that the performance of Logistic Regression-Stepwise outperformed to other predictive models with classification accurateness of 73% and able to predict positive outcome (Y=1) correctly by 90%. The significant inputs that affect DM Type II prediction (Y=1) are Hypertension and Glycated Hemoglobin (HbA1c) given the Root Mean Squared Error (RMSE) of model is 0.424. The importance of study may be able to contribute in improving the strategies and planning on diabetes diseases in Malaysia.
{"title":"Predictive Data Mining Approaches for Diabetes Mellitus Type II Disease","authors":"S. Ibrahim, S. Khairi","doi":"10.56225/ijgoia.v1i2.22","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.22","url":null,"abstract":"Diabetes is among the major public health problem especially in developing countries which cause by abnormal insulin secretion in human body. It is a common disease that can led to several health complications and mortality. In Malaysia, most of the cases are categorized as Diabetes Mellitus (DM) Type II. Patients with diabetes increases from year to year due to unhealthy lifestyles e.g. smoking, overweight and hypertension. Therefore, this study meant to identify the influential factors that may contribute to DM Type II by comparing the performance of different data mining approaches. Between April 2017 and November 2018, 684 patients from a public clinic participated in this retrospective cross-sectional study. Four predictive models involved in the study are Logistic Regression, Decision Tree, Naïve Bayes, and Artificial Neural Network (ANN). The error measures (Average Squared Error and Misclassification Rate) with ROC Index are used to evaluate the performance of the models. Results show that the performance of Logistic Regression-Stepwise outperformed to other predictive models with classification accurateness of 73% and able to predict positive outcome (Y=1) correctly by 90%. The significant inputs that affect DM Type II prediction (Y=1) are Hypertension and Glycated Hemoglobin (HbA1c) given the Root Mean Squared Error (RMSE) of model is 0.424. The importance of study may be able to contribute in improving the strategies and planning on diabetes diseases in Malaysia.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537403","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 increasing number of tourist destinations in the world has led to an increase in the number of tourists and their supporting industries, such as the hotel industry. This increase should not have a negative impact on the natural environment and people who live near tourist destinations. Sustainable Industrial Performance (SIP) is one indicator to find out whether industrial development has an impact and becomes a benchmark for industry sustainability in the natural and social environment. Sustainable Industrial Performance (SIP) is measured from three (3) factors, namely economy, natural environment, and socio-culture. Pro-Environment Behavior (PEB) is one indicator of initiatives and efforts made by people who work in the sector/industry to continue to maintain the sustainability of the surrounding environmental conditions. Green Marketing Mix (GMM) is a variable commonly used by marketing people in marketing a product, be it goods or services. Green Marketing Mix (GMM) provides characteristics about the importance of creating goods or services with green principles. This research is expected to be one of the green practice concept models, namely activities to create and manage industries with the concept of sustainable business, namely the benefits of sustainable (economic) business, sustainability for the natural environment, and sustainable for the social environment of the hospitality industry
{"title":"Developing the Conceptual Model of Sustainable Industrial Performance in the Hospitality Industry","authors":"B. Rainanto, A. T. Bon, Janwarisman Purba","doi":"10.56225/ijgoia.v1i2.17","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.17","url":null,"abstract":"The increasing number of tourist destinations in the world has led to an increase in the number of tourists and their supporting industries, such as the hotel industry. This increase should not have a negative impact on the natural environment and people who live near tourist destinations. Sustainable Industrial Performance (SIP) is one indicator to find out whether industrial development has an impact and becomes a benchmark for industry sustainability in the natural and social environment. Sustainable Industrial Performance (SIP) is measured from three (3) factors, namely economy, natural environment, and socio-culture. Pro-Environment Behavior (PEB) is one indicator of initiatives and efforts made by people who work in the sector/industry to continue to maintain the sustainability of the surrounding environmental conditions. Green Marketing Mix (GMM) is a variable commonly used by marketing people in marketing a product, be it goods or services. Green Marketing Mix (GMM) provides characteristics about the importance of creating goods or services with green principles. This research is expected to be one of the green practice concept models, namely activities to create and manage industries with the concept of sustainable business, namely the benefits of sustainable (economic) business, sustainability for the natural environment, and sustainable for the social environment of the hospitality industry","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123916631","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 study empirically examines and analyzes the impact of several macroeconomic indicators on economic growth, namely the extent to which the variables of poverty, human development index (HDI), foreign direct (FDI) and domestic investments (DMI) affect gross regional domestic product (GRDP) at constant prices in 2010 according to expenditure in Indonesia. By using panel data regression and data sourced from 32 provinces throughout Indonesia, the results show that poverty has a negative but not significant effect, FDI has a positive and significant effect, and HDI has a positive and significant effect. On the other hand, Domestic Investment has a positive but not significant effect on GRDP. In an effort to increase the value of GRDP, HDI, and investment (FDI and HDI) that can reduce poverty, the government, the private sector, and the community play an active role in cooperating in planning and implementing effective and efficient strategic program activities, including maintaining social security stability and politics, sustainable reform in all sectors by encouraging the use of domestic products, empowering elements of society including Micro, Small and Medium Enterprises, facilitating various vocational skills training for productive workers and drafting investment-friendly licensing governance regulations. The development of human resources must accompany economic development to reduce the negative impact of economic growth.
{"title":"The Impact of Macroeconomic Variables on the Real Economic Growth in Indonesia","authors":"Agam Fitriady, Vivi Silvia, S. Suriani","doi":"10.56225/ijgoia.v1i2.16","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.16","url":null,"abstract":"This study empirically examines and analyzes the impact of several macroeconomic indicators on economic growth, namely the extent to which the variables of poverty, human development index (HDI), foreign direct (FDI) and domestic investments (DMI) affect gross regional domestic product (GRDP) at constant prices in 2010 according to expenditure in Indonesia. By using panel data regression and data sourced from 32 provinces throughout Indonesia, the results show that poverty has a negative but not significant effect, FDI has a positive and significant effect, and HDI has a positive and significant effect. On the other hand, Domestic Investment has a positive but not significant effect on GRDP. In an effort to increase the value of GRDP, HDI, and investment (FDI and HDI) that can reduce poverty, the government, the private sector, and the community play an active role in cooperating in planning and implementing effective and efficient strategic program activities, including maintaining social security stability and politics, sustainable reform in all sectors by encouraging the use of domestic products, empowering elements of society including Micro, Small and Medium Enterprises, facilitating various vocational skills training for productive workers and drafting investment-friendly licensing governance regulations. The development of human resources must accompany economic development to reduce the negative impact of economic growth.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121599964","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}
Poverty is one of the macro problems faced by all countries. These problems have different solutions depending on the character of the poor population in the country. One of the proposed solutions is to control prices so that the level of public consumption is maintained. The purpose of the study was to analyze the effect of rice prices on poverty and to map the condition of rice price movements related to poverty in provincial capitals in Indonesia. This study uses panel data from 34 provincial capitals in Indonesia from 2011 to 2020. The data was collected from the Central Bureau of Statistics of Indonesia and uses a panel regression model and important performance analysis (IPA). The results of this study indicated that the price of rice positively affects poverty in provincial capitals in Indonesia. The IPA results show that most provincial capitals in Indonesia are in areas with low poverty rates accompanied by low rice prices and areas with poor people but tend to have high rice prices compared to the average price of rice. It concludes that rice greatly influences the consumption needs of the people of provincial capital cities in Indonesia. This finding shows the importance of maintaining the stability of rice prices due to the large influence of rice price movements on the increase in the percentage of poor people. Suggestions should be given for subsidized rice distribution in areas with high prices.
{"title":"Investigating the Effect of Rice Commodity Price Volatility on Provincial Capital Poverty: An Evidence from Indonesia","authors":"Sri Wahyuni Deski, S. Sartiyah, C. Seftarita","doi":"10.56225/ijgoia.v1i2.18","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.18","url":null,"abstract":"Poverty is one of the macro problems faced by all countries. These problems have different solutions depending on the character of the poor population in the country. One of the proposed solutions is to control prices so that the level of public consumption is maintained. The purpose of the study was to analyze the effect of rice prices on poverty and to map the condition of rice price movements related to poverty in provincial capitals in Indonesia. This study uses panel data from 34 provincial capitals in Indonesia from 2011 to 2020. The data was collected from the Central Bureau of Statistics of Indonesia and uses a panel regression model and important performance analysis (IPA). The results of this study indicated that the price of rice positively affects poverty in provincial capitals in Indonesia. The IPA results show that most provincial capitals in Indonesia are in areas with low poverty rates accompanied by low rice prices and areas with poor people but tend to have high rice prices compared to the average price of rice. It concludes that rice greatly influences the consumption needs of the people of provincial capital cities in Indonesia. This finding shows the importance of maintaining the stability of rice prices due to the large influence of rice price movements on the increase in the percentage of poor people. Suggestions should be given for subsidized rice distribution in areas with high prices.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217208","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}
H. S. Abdulaali, I. M. Usman, Jean Elfira Basung, Mahmood Jamal Abdulhasan, Mohammed Saleh Hameed
Mangrove offers a unique and functional characteristic that proves to be beneficial to its surrounding ecosystem. It also benefited the local communities positively in the socio-economic growth via the increase in ecotourism product varieties. Ecotourism activities must not further deteriorate, but, be able to protect and preserve the mangrove ecosystem via a deliberate mangrove ecosystem management. In the effort to conserve mangrove ecosystem, increase public awareness and promote socio-economic growth, this study therefore seeks to highlight the existing ecotourism product (physical products, activities, facilities and services) at Ketam Island Mangrove Forest, Selangor, Malaysia and proposed ecotourism product suitable to feature mangrove forest. With sustainable development, a conceptual design is proposed for the future development of ecotourism research center and its urban enclave at the location, supplementing suitable ecotourism product to the existing product. A site survey of the location is conducted to observe the mangrove ecosystem. Further information is collected from supporting existing publications. Computer software such as AutoCAD and Adobe Photoshop are used to draw out the 2-Dimensional, 3-Dimensional, and render the proposed design to visual representations. Significantly, the supplementary ecotourism product conserves the mangrove ecosystem, promote socio-economic growth and benefit all stakeholders; visitors, local community.
{"title":"Conceptual Design of Ecotourism Products Proposal at Mangrove Forest in Ketam Island, Malaysia","authors":"H. S. Abdulaali, I. M. Usman, Jean Elfira Basung, Mahmood Jamal Abdulhasan, Mohammed Saleh Hameed","doi":"10.56225/ijgoia.v1i2.20","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i2.20","url":null,"abstract":"Mangrove offers a unique and functional characteristic that proves to be beneficial to its surrounding ecosystem. It also benefited the local communities positively in the socio-economic growth via the increase in ecotourism product varieties. Ecotourism activities must not further deteriorate, but, be able to protect and preserve the mangrove ecosystem via a deliberate mangrove ecosystem management. In the effort to conserve mangrove ecosystem, increase public awareness and promote socio-economic growth, this study therefore seeks to highlight the existing ecotourism product (physical products, activities, facilities and services) at Ketam Island Mangrove Forest, Selangor, Malaysia and proposed ecotourism product suitable to feature mangrove forest. With sustainable development, a conceptual design is proposed for the future development of ecotourism research center and its urban enclave at the location, supplementing suitable ecotourism product to the existing product. A site survey of the location is conducted to observe the mangrove ecosystem. Further information is collected from supporting existing publications. Computer software such as AutoCAD and Adobe Photoshop are used to draw out the 2-Dimensional, 3-Dimensional, and render the proposed design to visual representations. Significantly, the supplementary ecotourism product conserves the mangrove ecosystem, promote socio-economic growth and benefit all stakeholders; visitors, local community.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128818461","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}
Fatemah Baradari, Z. Nopiah, S. Ja'afar, Wan Siti Adibah Wan, Dahalan
Oil and Gas (O&G) industry is one of the riskiest, most dynamic and challenging industries and plays a vital role in every nation’s economy. Like any other major industry, O&G is exposed to a host of both predictable and unpredictable risks. Joint venture projects (JVP) are often regarded as risky businesses as there is a high failure rate among them because of the complexities involved. This paper aims to identify the critical risk factors (CRFs) of JVPs for O&G between Malaysia and Thailand. Via systematic literature review (SLR) the risk factors for O&G and JVPs around the globe are identified and a set of questions relating to them designed and used in a pilot study. A total of 15 respondents from different background experiences working in O&G JVPs were requested to answer the designed questionnaire during the pilot study. The data collected involves 170 respondents currently working or have worked in O&G JVPs. The relative importance index (RII) for each risk factor’s (RF) value was quantified and the RFs ranked based on the value. A RII value exceeding 60% is considered to have agreement and of importance to the respondents. The RII value can be used as an indicator to rank the RFs from the most to the least critical. The CRF categories determined in this study are environmental, cultural and social, and organisation. Under environmental, the main CRFs are losses due to fluctuations in exchange rates/interest rates. For cultural and social, the main CRFs are problems associated with cultural differences and cooperation. Organisational issues are related to organisational fit, incompetent project management team, difficulty in finding and keeping skilled workers, and low worker productivity.
{"title":"Critical Risk Factors of Joint Venture Projects in the Oil and Gas Industry between Malaysia and Thailand","authors":"Fatemah Baradari, Z. Nopiah, S. Ja'afar, Wan Siti Adibah Wan, Dahalan","doi":"10.56225/ijgoia.v1i1.14","DOIUrl":"https://doi.org/10.56225/ijgoia.v1i1.14","url":null,"abstract":"Oil and Gas (O&G) industry is one of the riskiest, most dynamic and challenging industries and plays a vital role in every nation’s economy. Like any other major industry, O&G is exposed to a host of both predictable and unpredictable risks. Joint venture projects (JVP) are often regarded as risky businesses as there is a high failure rate among them because of the complexities involved. This paper aims to identify the critical risk factors (CRFs) of JVPs for O&G between Malaysia and Thailand. Via systematic literature review (SLR) the risk factors for O&G and JVPs around the globe are identified and a set of questions relating to them designed and used in a pilot study. A total of 15 respondents from different background experiences working in O&G JVPs were requested to answer the designed questionnaire during the pilot study. The data collected involves 170 respondents currently working or have worked in O&G JVPs. The relative importance index (RII) for each risk factor’s (RF) value was quantified and the RFs ranked based on the value. A RII value exceeding 60% is considered to have agreement and of importance to the respondents. The RII value can be used as an indicator to rank the RFs from the most to the least critical. The CRF categories determined in this study are environmental, cultural and social, and organisation. Under environmental, the main CRFs are losses due to fluctuations in exchange rates/interest rates. For cultural and social, the main CRFs are problems associated with cultural differences and cooperation. Organisational issues are related to organisational fit, incompetent project management team, difficulty in finding and keeping skilled workers, and low worker productivity.","PeriodicalId":344452,"journal":{"name":"International Journal of Global Optimization and Its Application","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134042329","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：