Life insurance is one of protections in society by providing economic protection for insurance users who experience an adverse event. The insured who is an insurance user has an obligation to pay the premium at the time that is determined by the insurance company and the policyholder. Insurance companies need funds to fulfill claims from policyholders, so premiums that have been paid are stored in the form of premium reserves. Premium reserves need to be managed by the company properly so that the company does not experience losses. The purpose of this research is to provide information to determine the appropriate value of premium reserves in dual-life insurance. In this study, the calculation of premium reserves is done using the Zillmer Method and the adjusted Ohio Method, with the Prospective Method as the basis for the calculation. Based on the research results of premium reserve calculations in this study, both the Zillmer method and the Ohio method show premium reserve values that are directly proportional to the policyholder’s age. The premium reserve calculations also indicate that the Zillmer method and the Ohio method yield the same results when the insurance coverage period ends. However, there is a significant difference in the premium reserve calculations at the beginning of the insurance coverage period.
{"title":"Comparison of the Zillmer Method with the Adjusted Ohio Method in Calculation of Premium Reserve Value in Dwi-Purpose Life Insurance","authors":"Aldino Reisnanda, B. Subartini, Riaman Riaman","doi":"10.46336/ijqrm.v5i1.592","DOIUrl":"https://doi.org/10.46336/ijqrm.v5i1.592","url":null,"abstract":"Life insurance is one of protections in society by providing economic protection for insurance users who experience an adverse event. The insured who is an insurance user has an obligation to pay the premium at the time that is determined by the insurance company and the policyholder. Insurance companies need funds to fulfill claims from policyholders, so premiums that have been paid are stored in the form of premium reserves. Premium reserves need to be managed by the company properly so that the company does not experience losses. The purpose of this research is to provide information to determine the appropriate value of premium reserves in dual-life insurance. In this study, the calculation of premium reserves is done using the Zillmer Method and the adjusted Ohio Method, with the Prospective Method as the basis for the calculation. Based on the research results of premium reserve calculations in this study, both the Zillmer method and the Ohio method show premium reserve values that are directly proportional to the policyholder’s age. The premium reserve calculations also indicate that the Zillmer method and the Ohio method yield the same results when the insurance coverage period ends. However, there is a significant difference in the premium reserve calculations at the beginning of the insurance coverage period.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"34 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670953","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}
Investment portfolio optimization is carried out to find the optimal combination of each stock with the aim of maximizing returns while minimizing risk by diversification. However, the problem is how much proportion of funds should be invested in order to obtain the minimum risk. One approach that has proven effective in building an optimal investment portfolio is the Mean-Variance model. The purpose of this study is to compare the results of the Mean-Variance model investment portfolio optimization using Lagrange Multiplier method and Genetic Algorithm. The data used are stocks that are members of the LQ45 index for the period February 2020-July 2021. Based on the research results, there are five stocks that form the optimal portfolio, namely ADRO, AKRA, BBCA, CPIN, and EXCL stocks. The optimal portfolio generated by the Lagrange Multiplier method has a risk of 0.000606 and a return of 0.000726. Meanwhile, using the Genetic Algorithm resulted in a risk of 0.000455 and a return of 0.000471. Thus, the Genetic Algorithm method is more suitable for investors who prioritize lower risk. Meanwhile, the Lagrange Multiplier method produces a relatively higher risk, making it less suitable for investors who expect a small risk.
{"title":"The Comparison of Investment Portfolio Optimization Result of Mean-Variance Model Using Lagrange Multiplier and Genetic Algorithm","authors":"Raynita Syahla, Dwi Susanti, H. Napitupulu","doi":"10.46336/ijqrm.v5i1.611","DOIUrl":"https://doi.org/10.46336/ijqrm.v5i1.611","url":null,"abstract":"Investment portfolio optimization is carried out to find the optimal combination of each stock with the aim of maximizing returns while minimizing risk by diversification. However, the problem is how much proportion of funds should be invested in order to obtain the minimum risk. One approach that has proven effective in building an optimal investment portfolio is the Mean-Variance model. The purpose of this study is to compare the results of the Mean-Variance model investment portfolio optimization using Lagrange Multiplier method and Genetic Algorithm. The data used are stocks that are members of the LQ45 index for the period February 2020-July 2021. Based on the research results, there are five stocks that form the optimal portfolio, namely ADRO, AKRA, BBCA, CPIN, and EXCL stocks. The optimal portfolio generated by the Lagrange Multiplier method has a risk of 0.000606 and a return of 0.000726. Meanwhile, using the Genetic Algorithm resulted in a risk of 0.000455 and a return of 0.000471. Thus, the Genetic Algorithm method is more suitable for investors who prioritize lower risk. Meanwhile, the Lagrange Multiplier method produces a relatively higher risk, making it less suitable for investors who expect a small risk. ","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"15 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671304","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}
Portfolio investment reflects a commitment to the allocation of funds or resources which is considered a strategic step in managing assets to achieve future profits. This research begins with a careful analysis of a portfolio consisting of the ten best stocks on the Indonesia Stock Exchange (IDX). Through in-depth processing and analysis of stock data, the dynamics of performance, risk and volatility involved in each investment commitment are revealed. The Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) methods at the 90%, 95%, and 99% confidence levels take centre stage, highlighting the potential for increased losses as confidence levels increase. In-depth analysis illustrates that CVaR, considering the extreme risks in the distribution, provides a more holistic picture than VaR. With a VaR (99%) value of IDR 84,973,959,424 and CVaR (99%) of IDR 471,795,822,064, this research provides a concrete picture of potential risks at the highest level of confidence. These results confirm that CVaR has a crucial role in identifying and measuring the potential for more significant losses, especially in the face of unexpected market uncertainty. As a guide for investment decision makers, this research forms an important basis for carefully considering the level of risk and potential return at various levels of confidence. This allows the development of smarter and more informed investment strategies.
{"title":"Risk Measurement of Investment Portfolio Using Var and Cvar from The Top 10 Traded Stocks on the IDX","authors":"N. Suhaimi, Volodymyr Rusyn","doi":"10.46336/ijqrm.v5i1.600","DOIUrl":"https://doi.org/10.46336/ijqrm.v5i1.600","url":null,"abstract":"Portfolio investment reflects a commitment to the allocation of funds or resources which is considered a strategic step in managing assets to achieve future profits. This research begins with a careful analysis of a portfolio consisting of the ten best stocks on the Indonesia Stock Exchange (IDX). Through in-depth processing and analysis of stock data, the dynamics of performance, risk and volatility involved in each investment commitment are revealed. The Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) methods at the 90%, 95%, and 99% confidence levels take centre stage, highlighting the potential for increased losses as confidence levels increase. In-depth analysis illustrates that CVaR, considering the extreme risks in the distribution, provides a more holistic picture than VaR. With a VaR (99%) value of IDR 84,973,959,424 and CVaR (99%) of IDR 471,795,822,064, this research provides a concrete picture of potential risks at the highest level of confidence. These results confirm that CVaR has a crucial role in identifying and measuring the potential for more significant losses, especially in the face of unexpected market uncertainty. As a guide for investment decision makers, this research forms an important basis for carefully considering the level of risk and potential return at various levels of confidence. This allows the development of smarter and more informed investment strategies.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"63 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140666933","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}
Fathimah Syifa Nurkasyifah, A. Supriatna, H. Napitupulu
Presently, sustainability has emerged as a crucial and compelling concern across diverse sectors, evolving into a long-term agenda championed by the United Nations through the implementation of the Sustainable Development Goals (SDGs). Within the SDGs, particularly under point 14 addressing life below water, emphasis is placed on ensuring sustainability in aquatic ecosystems, encompassing the fisheries sector. The concept of Maximum Sustainable Yield (MSY) holds significance in the bioeconomic analysis of fisheries, influencing decision-making processes aimed at preserving sustainability. Regrettably, several studies have identified inaccuracies in the determination of MSY, leading to instances of overfishing in various regions. Conversely, it is imperative to give due attention to Maximum Economic Yield (MEY) to ensure that economic considerations remain integral to decision-making processes. Consequently, a more comprehensive and detailed bioeconomic analysis, incorporating mathematical models, becomes essential. Among these models, the logistic growth rate model and the Gompertz growth rate model stand out as significant contributors.
{"title":"Application of Mathematical Model in Bioeconomic Analysis of Skipjack Fish in Pelabuhanratu, Sukabumi Regency, Jawa Barat","authors":"Fathimah Syifa Nurkasyifah, A. Supriatna, H. Napitupulu","doi":"10.46336/ijqrm.v5i1.598","DOIUrl":"https://doi.org/10.46336/ijqrm.v5i1.598","url":null,"abstract":"Presently, sustainability has emerged as a crucial and compelling concern across diverse sectors, evolving into a long-term agenda championed by the United Nations through the implementation of the Sustainable Development Goals (SDGs). Within the SDGs, particularly under point 14 addressing life below water, emphasis is placed on ensuring sustainability in aquatic ecosystems, encompassing the fisheries sector. The concept of Maximum Sustainable Yield (MSY) holds significance in the bioeconomic analysis of fisheries, influencing decision-making processes aimed at preserving sustainability. Regrettably, several studies have identified inaccuracies in the determination of MSY, leading to instances of overfishing in various regions. Conversely, it is imperative to give due attention to Maximum Economic Yield (MEY) to ensure that economic considerations remain integral to decision-making processes. Consequently, a more comprehensive and detailed bioeconomic analysis, incorporating mathematical models, becomes essential. Among these models, the logistic growth rate model and the Gompertz growth rate model stand out as significant contributors. ","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"136 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140668479","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. Sadiah, Delta Hadi Purnama, Muhamad Saad Nurul Ishlah
This study addresses the optimization of inventory management for sandal and shoe products, at CV Diva Karya Mandiri Warehouse, which covers of five key features: a dashboard, master data management, transaction data, reporting, and user management. The First In First Out (FIFO) algorithm is specifically applied to the transaction feature, ensuring timely disbursement in line with the order of receipt. It is implemented using Rapid Application Development (RAD) methodology, which consists of Planning Requirements, User Design, Construction, and Cutover phases. The developed inventory application offers two access levels: administrators with comprehensive access and warehouse managers with limited access for viewing, searching, and filtering item data. This study successfully implementing the FIFO algorithm, with 95% Blackbox testing result achieved through boundary value analysis approach.Top of Form
本研究探讨了如何优化 CV Diva Karya Mandiri 仓库的凉鞋和鞋类产品库存管理，其中包括五个关键功能：仪表板、主数据管理、交易数据、报告和用户管理。先进先出（FIFO）算法专门应用于交易功能，确保按照收货顺序及时付款。该系统采用快速应用程序开发（RAD）方法实施，包括规划需求、用户设计、构建和切换阶段。所开发的库存应用程序提供两个访问级别：管理员有全面访问权限，仓库管理员有有限访问权限，可查看、搜索和过滤项目数据。本研究成功实现了先进先出算法，并通过边界值分析方法实现了 95% 的黑盒测试结果。
{"title":"Implementation of the First In First Out (FIFO) Algorithm in the Sandal and Shoe Product Inventory (Stock) Application","authors":"H. Sadiah, Delta Hadi Purnama, Muhamad Saad Nurul Ishlah","doi":"10.46336/ijqrm.v5i1.552","DOIUrl":"https://doi.org/10.46336/ijqrm.v5i1.552","url":null,"abstract":"This study addresses the optimization of inventory management for sandal and shoe products, at CV Diva Karya Mandiri Warehouse, which covers of five key features: a dashboard, master data management, transaction data, reporting, and user management. The First In First Out (FIFO) algorithm is specifically applied to the transaction feature, ensuring timely disbursement in line with the order of receipt. It is implemented using Rapid Application Development (RAD) methodology, which consists of Planning Requirements, User Design, Construction, and Cutover phases. The developed inventory application offers two access levels: administrators with comprehensive access and warehouse managers with limited access for viewing, searching, and filtering item data. This study successfully implementing the FIFO algorithm, with 95% Blackbox testing result achieved through boundary value analysis approach.Top of Form","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"81 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670414","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}
Bibek Lamsal, Saraddha Khasu Magar, K. Bhusal, Srijana Bharati
The Potato Tuber Moth (Phthorimaea operculella) is a destructive pest that poses a significant threat to stored potato crops, leading to substantial economic losses worldwide. The use of chemical insecticides to control this pest has drawbacks such as environmental pollution and potential harm to human health. As a result, it is critical to investigate alternate control strategies, such as botanical extracts. This study aimed to evaluate the efficacy of different botanicals, Azadirachta indica (Neem), Acorus calamus (sweet flag), Sapindus mukorossi (Soapnut) and their combination against the Potato Tuber Moth in stored potatoes. The research followed a randomized sampling technique, with seven treatments {T1: sweet flag (100%), T2: Neem (100%), T3: neem (50%)+ soapnut(50%), T4: soapnut powder (100%), T5: sweet flag (50%)+ Neem (50%), T6: sweet flag (50%)+ soapnut(50%), T7: control }. The treatments were applied to potatoes and data were observed, recorded, and tabulated. Our results showed that there was not a huge difference in the final result of mortality in all the treatments, all showing similar results. But when observed by counting the time factor, Acorus calamus outsmarted other bio-pesticides by killing 100% of insects in much less time. Further, all the treatments significantly affect the weight loss of potato tuber. Potato tuber treated with T1 showed the least weight loss of 1.88% of total weight followed by T6 and T4 with 2.56% and 2.58% of weight loss respectively. There was also some weight loss in the untreated potatoes due to evaporation and other physical factors. To sum up the overall result of our study, the experiment concluded that Acorus calamus (T1) had given the best result and thus it stood to be the best bio-pesticide among all.
{"title":"A Study on the Efficacy of Different Botanicals Against Potato Tuber Moth (Phthorimaea Operculella) in Stored Potatoes","authors":"Bibek Lamsal, Saraddha Khasu Magar, K. Bhusal, Srijana Bharati","doi":"10.46336/ijqrm.v4i4.531","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i4.531","url":null,"abstract":"The Potato Tuber Moth (Phthorimaea operculella) is a destructive pest that poses a significant threat to stored potato crops, leading to substantial economic losses worldwide. The use of chemical insecticides to control this pest has drawbacks such as environmental pollution and potential harm to human health. As a result, it is critical to investigate alternate control strategies, such as botanical extracts. This study aimed to evaluate the efficacy of different botanicals, Azadirachta indica (Neem), Acorus calamus (sweet flag), Sapindus mukorossi (Soapnut) and their combination against the Potato Tuber Moth in stored potatoes. The research followed a randomized sampling technique, with seven treatments {T1: sweet flag (100%), T2: Neem (100%), T3: neem (50%)+ soapnut(50%), T4: soapnut powder (100%), T5: sweet flag (50%)+ Neem (50%), T6: sweet flag (50%)+ soapnut(50%), T7: control }. The treatments were applied to potatoes and data were observed, recorded, and tabulated. Our results showed that there was not a huge difference in the final result of mortality in all the treatments, all showing similar results. But when observed by counting the time factor, Acorus calamus outsmarted other bio-pesticides by killing 100% of insects in much less time. Further, all the treatments significantly affect the weight loss of potato tuber. Potato tuber treated with T1 showed the least weight loss of 1.88% of total weight followed by T6 and T4 with 2.56% and 2.58% of weight loss respectively. There was also some weight loss in the untreated potatoes due to evaporation and other physical factors. To sum up the overall result of our study, the experiment concluded that Acorus calamus (T1) had given the best result and thus it stood to be the best bio-pesticide among all.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":" 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139143425","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}
Ciluluk Community Health Center is a community health service center in Cikancung District, Bandung Regency. In its operations, it cooperates with the Social Security Administration Agency (BPJS). In 2021 there was a decrease in the number of BPJS participants by 14.2% which had an impact on the capitation of the Ciluluk Health Center which had decreased by 9.73%. This research was conducted to audit the quality of BPJS Health services at the Ciluluk Public Health Center, Cikancung District, Bandung Regency using the COBIT 5.0 domain Deliver, Service and support method. Work Operational Process is at level 1 with a value of 87%, Action Service Process, is at level 2 with a value of 90%, Problem Handling Process, is at level 5 with a value of 100%, Process of Providing Directions, is at level 5, with a value of 99 %, Information System Service Process, is at level 3, with a value of 79.33%, Controlling Process, is at level 3 with a value of 96.25%. Thus COBIT 5.0 domain Deliver, Service and support can help evaluate the quality of service at the Ciluluk Health Center. acronyms.
{"title":"BPJS Health Service Quality Audit Using Cobit 5.0 on Domain Deliver, Service and Support at Ciluluk Health Center","authors":"Encep Supriatna, Sonya Fitriani, Bimbim Yosef Suhendar","doi":"10.46336/ijqrm.v4i4.541","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i4.541","url":null,"abstract":"Ciluluk Community Health Center is a community health service center in Cikancung District, Bandung Regency. In its operations, it cooperates with the Social Security Administration Agency (BPJS). In 2021 there was a decrease in the number of BPJS participants by 14.2% which had an impact on the capitation of the Ciluluk Health Center which had decreased by 9.73%. This research was conducted to audit the quality of BPJS Health services at the Ciluluk Public Health Center, Cikancung District, Bandung Regency using the COBIT 5.0 domain Deliver, Service and support method. Work Operational Process is at level 1 with a value of 87%, Action Service Process, is at level 2 with a value of 90%, Problem Handling Process, is at level 5 with a value of 100%, Process of Providing Directions, is at level 5, with a value of 99 %, Information System Service Process, is at level 3, with a value of 79.33%, Controlling Process, is at level 3 with a value of 96.25%. Thus COBIT 5.0 domain Deliver, Service and support can help evaluate the quality of service at the Ciluluk Health Center. acronyms.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"30 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139147570","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 aimed to examine the causal relationship among oil prices, JCI stock prices, and exchange rates in Indonesia. Observational data were from the period 2015M01-2020M06. The research analysis model used was Toda-Yamamoto (1995) causality test. The results showed a two-way causal relationship between exchange rates and oil and a one-way relationship between exchange rates and stocks. There was a one-way effect of stocks on oil. Stock shocks occurred due to the influence of the stocks themselves—only 10 percent of the exchange rates and 0.62 percent of the oil price. Meanwhile, oil prices experienced shocks from stocks of 35.95 percent and exchange rates of 20.87 percent. Changes were found in the exchange rates because stocks were 57.21 percent and oil prices were 11.27 percent. It is recommended to control the exchange rates so that the economy becomes stable, explore oil in the country or use renewable energy technology to break away from dependence on fossil oil, and maintain the value of stocks to be strong and stable.
{"title":"Dynamic Relationship Among Crude Oil Price, Stock Price, and Exchange Rates In Indonesia","authors":"Alfikranta Atanta, S. Syahnur, T. Dawood","doi":"10.46336/ijqrm.v4i4.376","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i4.376","url":null,"abstract":"This study aimed to examine the causal relationship among oil prices, JCI stock prices, and exchange rates in Indonesia. Observational data were from the period 2015M01-2020M06. The research analysis model used was Toda-Yamamoto (1995) causality test. The results showed a two-way causal relationship between exchange rates and oil and a one-way relationship between exchange rates and stocks. There was a one-way effect of stocks on oil. Stock shocks occurred due to the influence of the stocks themselves—only 10 percent of the exchange rates and 0.62 percent of the oil price. Meanwhile, oil prices experienced shocks from stocks of 35.95 percent and exchange rates of 20.87 percent. Changes were found in the exchange rates because stocks were 57.21 percent and oil prices were 11.27 percent. It is recommended to control the exchange rates so that the economy becomes stable, explore oil in the country or use renewable energy technology to break away from dependence on fossil oil, and maintain the value of stocks to be strong and stable.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139142683","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 Micro and Small Enterprises (MSMEs) sector in Indonesia has made a significant contribution to the Indonesian economy. However, MSMEs in Indonesia face various challenges that may occur in the future, for example, supplier failure. Therefore, it is essential to determine the right form of risk mitigation to reduce the impact of supplier failure for MSMEs, and one such approach is to have insurance. This study aims to calculate the premium price using the Black-Scholes-Merton model approach. The data used is the aggregate losses experienced by MSMEs fostered partners of PT Wijaya Karya (Persero) Tbk. Data simulation was generated on lognormal distribution to determine the premium price. The application of the Black-Scholes-Merton model on the calculations showed that MSMEs have to pay a premium of IDR 4.165.061 for one year.
{"title":"Determination of Insurance Premiums to Mitigate the Risk of Company Losses Due to Supplier Failure Using Black-Scholes-Merton Model","authors":"Jessica Novia Sitepu, B. Subartini, Sukono Sukono","doi":"10.46336/ijqrm.v4i4.447","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i4.447","url":null,"abstract":"The Micro and Small Enterprises (MSMEs) sector in Indonesia has made a significant contribution to the Indonesian economy. However, MSMEs in Indonesia face various challenges that may occur in the future, for example, supplier failure. Therefore, it is essential to determine the right form of risk mitigation to reduce the impact of supplier failure for MSMEs, and one such approach is to have insurance. This study aims to calculate the premium price using the Black-Scholes-Merton model approach. The data used is the aggregate losses experienced by MSMEs fostered partners of PT Wijaya Karya (Persero) Tbk. Data simulation was generated on lognormal distribution to determine the premium price. The application of the Black-Scholes-Merton model on the calculations showed that MSMEs have to pay a premium of IDR 4.165.061 for one year.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":" 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139142803","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}
Neni Maryani, Rendi Kusuma Natita, Ali Rahman Reza Zaputra
The Ministry of Finance as one of the regulators in Indonesia has also issued regulation Number 186 /PMK.01/2021 concerning the Development and Supervision of Public Accountants which is effective on March 15 2022 (Janah et al., 2022). This regulation did not appear without reason. Several cases related to audited financial statements have occurred in recent years. Some of the financial reports that are cases include the financial reports of PT. Garuda Indonesia Tbk which was audited by the Public Accounting Firm Tanubrata Sutanto Fahmi Bambang and Partners which is also an international affiliated Public Accounting Firm, namely BDO International, where the financial reports of PT (Setiono et al., 2020).
{"title":"The Influence of Information Technology Based Audit Procedures and Audit Experience on Audit Quality","authors":"Neni Maryani, Rendi Kusuma Natita, Ali Rahman Reza Zaputra","doi":"10.46336/ijqrm.v4i4.546","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i4.546","url":null,"abstract":"The Ministry of Finance as one of the regulators in Indonesia has also issued regulation Number 186 /PMK.01/2021 concerning the Development and Supervision of Public Accountants which is effective on March 15 2022 (Janah et al., 2022). This regulation did not appear without reason. Several cases related to audited financial statements have occurred in recent years. Some of the financial reports that are cases include the financial reports of PT. Garuda Indonesia Tbk which was audited by the Public Accounting Firm Tanubrata Sutanto Fahmi Bambang and Partners which is also an international affiliated Public Accounting Firm, namely BDO International, where the financial reports of PT (Setiono et al., 2020).","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":" 46","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139143064","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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