Kelik Putranto, Dara Berliana Kusuma, Qori Istiqomah
Jam is a semi-solid food ingredient made no less than 45 parts by weight of crushed fruit with 55 parts by weight of sugar. The mixture is thickened until it reaches a content of a dissolved solid substance of not less than 65% for all types of jam. The main components or conditions for making jam are pectin, sugar and acid. Pectin requirements for the manufacture of jams are a maximum of 0.75% and a minimum sugar of 55%. Ideal fruits in the manufacture of jam should contain enough pectins and acids to produce jams with appropriate characteristics.Research on the jam characteristics of various yellow pumpkin and watermelon peel balances has been tried with the aim of establishing the right balance. The method used in this study was an experimental method using a Randomized Block Design. The balance treatment of yellow pumpkin and watermelon peel consists of balancesA (100: 0) , B (90 : 10), C (80 : 20), D (70 : 30), E (60 : 40) and F (50 : 50), each treatment is repeated four times. Inter-treatment testing using duncan multiple range test at a real level of 5%.The results showed that the balance of yellow squash and watermelon peels gave a noticeable difference in the effect on the moisture content, vitamin C, total soluble solids, the degree of liking for the color, taste, aroma and consistencyof the jam. The balance of yellow pumpkin and watermelon peel (70:30) produces good jam characteristics, this determination is based on a color favorability level of 4.16 , taste of 4.04 and consistencyof 3.63 out of a maximum value of 5.00 and a total soluble solid of 70.03%.
{"title":"The Effect Of Pumpkin (Cucurbita moschata D.) And Peel Of Watermelon (Citrullus lanatus) Balance On The Characteristics Of Jam Produced","authors":"Kelik Putranto, Dara Berliana Kusuma, Qori Istiqomah","doi":"10.46336/ijqrm.v4i3.498","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.498","url":null,"abstract":"Jam is a semi-solid food ingredient made no less than 45 parts by weight of crushed fruit with 55 parts by weight of sugar. The mixture is thickened until it reaches a content of a dissolved solid substance of not less than 65% for all types of jam. The main components or conditions for making jam are pectin, sugar and acid. Pectin requirements for the manufacture of jams are a maximum of 0.75% and a minimum sugar of 55%. Ideal fruits in the manufacture of jam should contain enough pectins and acids to produce jams with appropriate characteristics.Research on the jam characteristics of various yellow pumpkin and watermelon peel balances has been tried with the aim of establishing the right balance. The method used in this study was an experimental method using a Randomized Block Design. The balance treatment of yellow pumpkin and watermelon peel consists of balancesA (100: 0) , B (90 : 10), C (80 : 20), D (70 : 30), E (60 : 40) and F (50 : 50), each treatment is repeated four times. Inter-treatment testing using duncan multiple range test at a real level of 5%.The results showed that the balance of yellow squash and watermelon peels gave a noticeable difference in the effect on the moisture content, vitamin C, total soluble solids, the degree of liking for the color, taste, aroma and consistencyof the jam. The balance of yellow pumpkin and watermelon peel (70:30) produces good jam characteristics, this determination is based on a color favorability level of 4.16 , taste of 4.04 and consistencyof 3.63 out of a maximum value of 5.00 and a total soluble solid of 70.03%.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136363033","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 is essentially placing some funds at present with the expectation of future profits. The basic thing that an investor needs to know is that there is a risk that follows the profit/return. In determining the proper allocation of funds, an investor needs to consider the company's assets and liabilities. Company assets can be in the form of shares, property, and others. Meanwhile, the company's liabilities include debts and other obligations. One of the sectors whose company value has stagnated or increased during the Covid-19 Pandemic is the financial sector. Securities companies are a sub-sector of the financial sector which has a fairly strong position during the Pandemic. This research aims to determine the weight of fund allocation in each company forming the optimum portfolio and to see the effect of the company's assets and liabilities on the formation of the optimum portfolio. One of the methods used is the Lagrange Multiplier method for model formulation. The results of this study show that the optimal portfolio weight of PANS companies is 16.31% with an allocation of funds amounting to Rp163.612.976,00, the optimum portfolio weight of RELI companies is 83.003% with an allocation of funds of Rp830.029.681,00, and the optimum portfolio weight of TRIM companies is 0.636% with the allocation of funds amounting to Rp6.358.243,00. In this study, it was also found that the greater the percentage difference between the company's assets and liabilities, the greater the company's optimum portfolio weight.
{"title":"Optimum Fund Allocation Strategy by Considering the Company's Assets and Liabilities","authors":"Qurrotu Aini, Dwi Susanti, Riaman Riaman","doi":"10.46336/ijqrm.v4i3.444","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.444","url":null,"abstract":"Investment is essentially placing some funds at present with the expectation of future profits. The basic thing that an investor needs to know is that there is a risk that follows the profit/return. In determining the proper allocation of funds, an investor needs to consider the company's assets and liabilities. Company assets can be in the form of shares, property, and others. Meanwhile, the company's liabilities include debts and other obligations. One of the sectors whose company value has stagnated or increased during the Covid-19 Pandemic is the financial sector. Securities companies are a sub-sector of the financial sector which has a fairly strong position during the Pandemic. This research aims to determine the weight of fund allocation in each company forming the optimum portfolio and to see the effect of the company's assets and liabilities on the formation of the optimum portfolio. One of the methods used is the Lagrange Multiplier method for model formulation. The results of this study show that the optimal portfolio weight of PANS companies is 16.31% with an allocation of funds amounting to Rp163.612.976,00, the optimum portfolio weight of RELI companies is 83.003% with an allocation of funds of Rp830.029.681,00, and the optimum portfolio weight of TRIM companies is 0.636% with the allocation of funds amounting to Rp6.358.243,00. In this study, it was also found that the greater the percentage difference between the company's assets and liabilities, the greater the company's optimum portfolio weight.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135096631","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}
Stock represent proof of ownership or participation of an individual or entity in a company. Investors gain profits from shares through capital gains and dividends. The difficulty in selecting an optimal composition of a stock portfolio is a major concern for investors. This study aims to determine the optimal composition of a stock portfolio, calculate the expected returns in the future, and assess the potential risks that investors may encounter later on. The data for this research consists of stocks listed on the IDX30 Index throughout the year 2022, which consistently appear in every six-month evaluation. The analysis is conducted using a single-index model. Based on the findings of this study, the following ten stocks are identified as the optimal portfolio constituents: KLBF with a weight of 17.20%, BBRI with a weight of 17.18%, BBCA with a weight of 17.08%, PTBA with a weight of 12.46%, BBNI with a weight of 9.89%, UNVR with a weight of 8.33%, INKP with a weight of 8.66%, ICBP with a weight of 5.56%, BMRI with a weight of 3.25%, and UNTR with a weight of 0,39%. The expected return from the formed portfolio is 0,1% per day, with a corresponding risk of 0,004%.
{"title":"Application of Single Index Model to Determine Optimal Stock Portfolio (A Case Study on IDX30 in 2022)","authors":"Emmanuel Parulian Sirait, Kankan Parmikanti, Riaman Riaman","doi":"10.46336/ijqrm.v4i3.493","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.493","url":null,"abstract":"Stock represent proof of ownership or participation of an individual or entity in a company. Investors gain profits from shares through capital gains and dividends. The difficulty in selecting an optimal composition of a stock portfolio is a major concern for investors. This study aims to determine the optimal composition of a stock portfolio, calculate the expected returns in the future, and assess the potential risks that investors may encounter later on. The data for this research consists of stocks listed on the IDX30 Index throughout the year 2022, which consistently appear in every six-month evaluation. The analysis is conducted using a single-index model. Based on the findings of this study, the following ten stocks are identified as the optimal portfolio constituents: KLBF with a weight of 17.20%, BBRI with a weight of 17.18%, BBCA with a weight of 17.08%, PTBA with a weight of 12.46%, BBNI with a weight of 9.89%, UNVR with a weight of 8.33%, INKP with a weight of 8.66%, ICBP with a weight of 5.56%, BMRI with a weight of 3.25%, and UNTR with a weight of 0,39%. The expected return from the formed portfolio is 0,1% per day, with a corresponding risk of 0,004%.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135096630","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}
Cookies are dried and sweet food products made from wheat flour, fat, and sugar baked with dried texture and less than 5% moisture content. The flour used in this study was substituted by breadfruit flour as an attempt to reduce the amount of wheat flour consumption also utilizes native crops. The purpose of the study was to determine the right ratio of breadfruit flour and wheat flour to get the best characteristics of cookies. The study was done at Food Processing Lab and Chemistry Lab of Ma’soem University which was conducted in 2022 on September to October. The method used in this study was Randomized Block Design (RBD) with 5 repetitions and 5 treatments. The criteria tested were organoleptic (color, aroma, texture, flavour), chemical properties (water content, carbohydrate content, calories value of cookies). The result indicated that ratio between breadfruit flour and wheat flour effected the water content, carbohydrate content, calories, aroma, texture, and flavor of cookies. The best characteristic of cookies made from treatment C (45:55) based on water content and carbohydrate content.
{"title":"Ratio Effect of Breadfruit Flour and Wheat Flour on Cookies Characteristics","authors":"Hendrawan Hendrawan, Alti Martia, Raihanita Nurul Jannah","doi":"10.46336/ijqrm.v4i3.495","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.495","url":null,"abstract":"Cookies are dried and sweet food products made from wheat flour, fat, and sugar baked with dried texture and less than 5% moisture content. The flour used in this study was substituted by breadfruit flour as an attempt to reduce the amount of wheat flour consumption also utilizes native crops. The purpose of the study was to determine the right ratio of breadfruit flour and wheat flour to get the best characteristics of cookies. The study was done at Food Processing Lab and Chemistry Lab of Ma’soem University which was conducted in 2022 on September to October. The method used in this study was Randomized Block Design (RBD) with 5 repetitions and 5 treatments. The criteria tested were organoleptic (color, aroma, texture, flavour), chemical properties (water content, carbohydrate content, calories value of cookies). The result indicated that ratio between breadfruit flour and wheat flour effected the water content, carbohydrate content, calories, aroma, texture, and flavor of cookies. The best characteristic of cookies made from treatment C (45:55) based on water content and carbohydrate content.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135096629","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}
Amila Khairina, Rifa Izmi Wahdaniah, Manika Sunda Peliyanty
Fruit leather is one type of food that can be used as an alternative to processed food made from fruits. Some of the fruits that can be processed into fruit leather are harum manis mango and pineapple. The purpose of the study is to find out the right balance between mango and pineapple so as to produce fruit leather with good characteristics. The research was carried out at the Chemical Laboratory and Food Processing Laboratory, Faculty of Agriculture, Ma'soem University in the second week of June to the second week of August 2022. The method used in this study is a Randomized Block Design (RAK) method which consisted of 6 treatments and each was repeated 4 times. The treatment is Mango: Pineapple A(0:100), B(20:80), C(40:60), D(60:40), E(80:20), F(100:0). The analysis in this study includes chemical tests and organoleptic tests. Chemical tests consist of analysis of water content and total dissolved solids while organoleptic tests are carried out on the level of preference for color, taste, aroma, and texture. The results showed that the balance of mango and pineapple puree had a significant effect on water content, total dissolved solids, and level of preference for fruit leather texture. Meanwhile, the level of preference for the color, taste and aroma of fruit leather was not significantly different. The organoleptic D(60:40) balance produced the best level of taste and aroma preference.
{"title":"Effect of Mango Puree (Mangifera Indica L) and Pineapple Puree (Ananas Comosus (L.) Merr) Balance on the Characteristics of Fruit Leather Produced","authors":"Amila Khairina, Rifa Izmi Wahdaniah, Manika Sunda Peliyanty","doi":"10.46336/ijqrm.v4i3.497","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.497","url":null,"abstract":"Fruit leather is one type of food that can be used as an alternative to processed food made from fruits. Some of the fruits that can be processed into fruit leather are harum manis mango and pineapple. The purpose of the study is to find out the right balance between mango and pineapple so as to produce fruit leather with good characteristics. The research was carried out at the Chemical Laboratory and Food Processing Laboratory, Faculty of Agriculture, Ma'soem University in the second week of June to the second week of August 2022. The method used in this study is a Randomized Block Design (RAK) method which consisted of 6 treatments and each was repeated 4 times. The treatment is Mango: Pineapple A(0:100), B(20:80), C(40:60), D(60:40), E(80:20), F(100:0). The analysis in this study includes chemical tests and organoleptic tests. Chemical tests consist of analysis of water content and total dissolved solids while organoleptic tests are carried out on the level of preference for color, taste, aroma, and texture. The results showed that the balance of mango and pineapple puree had a significant effect on water content, total dissolved solids, and level of preference for fruit leather texture. Meanwhile, the level of preference for the color, taste and aroma of fruit leather was not significantly different. The organoleptic D(60:40) balance produced the best level of taste and aroma preference.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135204533","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 cash flow statement is part of a company's financial statements produced in an accounting period that shows the company's cash inflows and outflows. This study aims to analyze the effect of operating cash flow variables, net income, depreciation expense, and amortization expense on forecasting future cash flows. This research uses quantitative research using secondary data with a descriptive approach, which is analyzed using the Multiple Linear Regression method with SPSS assistance. The object used is PT. Bank XYZ for the period January 2019 to February 2023. The results show that operating cash flow affects forecasting future cash flows, net profit does not affect forecasting future cash flows, depreciation expense does not affect forecasting future cash flows, and amortization expense does not affect forecasting future cash flows. However, operating cash flow, net profit, depreciation expense, and amortization expense simultaneously affect the cash flow forecasting results. Based on the forecasting results, which have a MAPE value of 17.43%, it can be concluded that the forecasting results have good forecasting abilities.
现金流量表是公司财务报表的一部分，在一个会计期间产生，显示公司的现金流入和流出。本研究旨在分析营运现金流量变量、净收入、折旧费用和摊销费用对预测未来现金流量的影响。本研究采用定量研究使用二手数据与描述性的方法，这是用SPSS辅助多元线性回归方法进行分析。使用的对象是2019年1月至2023年2月期间的PT. Bank XYZ。结果表明，经营性现金流量影响未来现金流量预测，净利润不影响未来现金流量预测，折旧费用不影响未来现金流量预测，摊销费用不影响未来现金流量预测。而经营性现金流量、净利润、折旧费用和摊销费用同时影响现金流量预测结果。预测结果的MAPE值为17.43%，表明预测结果具有较好的预测能力。
{"title":"The Influence of Operating Cash Flow, Net Income, Depreciation Expenses, and Amortization Expenses on Cash Flow Forecasting at PT. Bank XYZ","authors":"Aisyah Nurul Aini, Herlina Napitupulu, Sukono Sukono","doi":"10.46336/ijqrm.v4i3.496","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.496","url":null,"abstract":"The cash flow statement is part of a company's financial statements produced in an accounting period that shows the company's cash inflows and outflows. This study aims to analyze the effect of operating cash flow variables, net income, depreciation expense, and amortization expense on forecasting future cash flows. This research uses quantitative research using secondary data with a descriptive approach, which is analyzed using the Multiple Linear Regression method with SPSS assistance. The object used is PT. Bank XYZ for the period January 2019 to February 2023. The results show that operating cash flow affects forecasting future cash flows, net profit does not affect forecasting future cash flows, depreciation expense does not affect forecasting future cash flows, and amortization expense does not affect forecasting future cash flows. However, operating cash flow, net profit, depreciation expense, and amortization expense simultaneously affect the cash flow forecasting results. Based on the forecasting results, which have a MAPE value of 17.43%, it can be concluded that the forecasting results have good forecasting abilities.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"330 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135204532","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}
Subiyanto Subiyanto, Fenyawati Akhmad, Mohammad Fadhli Ahmad, Sudradjat Supian
Currently, marine debris (MD) is one of them the most worrying global environmental problems because high impact on ecosystems, human health, and economy. One type of MD is that plastics have a significant and growing component, comprising between 60 - 80% of MD globally. Numerical model is an amalgamation of a large number of mathematical equations that rely on computers to find approximate solutions to underlying physical problems. Numerical modeling is key to understanding and determining the source, trajectory and fate of marine plastic debris (MPD). The purpose of this study is to review several methods that have been used in marine debris tracking modeling. The method used in this study is the PRISMA Method and Bibliometric Analysis.
{"title":"Numerical Modelling Techniques for Marine Debris : A Systematic Literature Review","authors":"Subiyanto Subiyanto, Fenyawati Akhmad, Mohammad Fadhli Ahmad, Sudradjat Supian","doi":"10.46336/ijqrm.v4i3.488","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i3.488","url":null,"abstract":"Currently, marine debris (MD) is one of them the most worrying global environmental problems because high impact on ecosystems, human health, and economy. One type of MD is that plastics have a significant and growing component, comprising between 60 - 80% of MD globally. Numerical model is an amalgamation of a large number of mathematical equations that rely on computers to find approximate solutions to underlying physical problems. Numerical modeling is key to understanding and determining the source, trajectory and fate of marine plastic debris (MPD). The purpose of this study is to review several methods that have been used in marine debris tracking modeling. The method used in this study is the PRISMA Method and Bibliometric Analysis.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135308434","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}
Ayasda Rahardian, E. T. Tosida, E. Kurnia, H. Mahdin
The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.
{"title":"SPATIAL CLUSTERING-BASED GAS STATION LOCATION DETERMINATION","authors":"Ayasda Rahardian, E. T. Tosida, E. Kurnia, H. Mahdin","doi":"10.46336/ijqrm.v4i2.451","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i2.451","url":null,"abstract":"The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85506593","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}
Cecep Pardani, Waliah Mulyatillah, Luthfia Nur Fadhillah
The coffee agro-industry has enough opportunities significant for conducted development where Thing could see from amount starting request increase. Ground coffee is one of the results of processing from coffee beans that have prospects as well as good market opportunities. This study aims to determine: Arabica coffee bean marketing channels in Giri Mekar Village, Cilengkrang District, Bandung Regency; The amount of Arabica coffee bean marketing margin at the level of Arabica coffee marketing agency in Giri Mekar Village, Cilengkrang District, Bandung Regency; The costs and benefits of Arabica coffee marketing in Giri Mekar Village, Cilengkrang District, Bandung Regency; Farmer's Share Arabica coffee in Giri Mekar Village, Cilengkrang District, Bandung Regency. The type of research used is a survey. Respondents in this study were 10% of Arabica coffee farmers in Giri Mekar Village as many as 30 people, 1 person collecting traders, and 5 industrial consumers. The results of this study indicate that there is one marketing channel for robusta coffee beans in Giri Mekar Village, Cilengkrang District, Bandung Regency, namely farmers, collector traders, and industrial Consumers. The amount of marketing margin on the marketing channel is IDR 75,000 per kilogram. The amount of marketing costs in the marketing channel is IDR 46,500 per kilogram. The marketing profit on the marketing channel is IDR 29,500 per kilogram. Farmer's Share on the marketing channel is 16.67%
{"title":"Analysis of the Marketing Channel of Palasari Arabica Coffee Beans","authors":"Cecep Pardani, Waliah Mulyatillah, Luthfia Nur Fadhillah","doi":"10.46336/ijqrm.v4i2.446","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i2.446","url":null,"abstract":"The coffee agro-industry has enough opportunities significant for conducted development where Thing could see from amount starting request increase. Ground coffee is one of the results of processing from coffee beans that have prospects as well as good market opportunities. This study aims to determine: Arabica coffee bean marketing channels in Giri Mekar Village, Cilengkrang District, Bandung Regency; The amount of Arabica coffee bean marketing margin at the level of Arabica coffee marketing agency in Giri Mekar Village, Cilengkrang District, Bandung Regency; The costs and benefits of Arabica coffee marketing in Giri Mekar Village, Cilengkrang District, Bandung Regency; Farmer's Share Arabica coffee in Giri Mekar Village, Cilengkrang District, Bandung Regency. The type of research used is a survey. Respondents in this study were 10% of Arabica coffee farmers in Giri Mekar Village as many as 30 people, 1 person collecting traders, and 5 industrial consumers. The results of this study indicate that there is one marketing channel for robusta coffee beans in Giri Mekar Village, Cilengkrang District, Bandung Regency, namely farmers, collector traders, and industrial Consumers. The amount of marketing margin on the marketing channel is IDR 75,000 per kilogram. The amount of marketing costs in the marketing channel is IDR 46,500 per kilogram. The marketing profit on the marketing channel is IDR 29,500 per kilogram. Farmer's Share on the marketing channel is 16.67%","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"2015 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86255184","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}
Medicinal properties. The celery plant also contains many apiin glycosides (flavone glycosides, isoquercetin, and umbelliferons. It also contains, mannite, inocytes, asparagine, glutamine, choline, linamarose, pro vitamin A, vitamin C, and B. This study aims to determine the cost, R/C Ratio, break-even point (BEP) of celery hydroponic farming system with deep flow technique (DFT). The analysis method used in this study is quantitative analysis by calculating and detailing the analysis of costs, income and receipts, feasibility, and break-even points. The results showed that the cost of the hydroponic agricultural system was Rp. 2,213,720.6. The R/C Ratio is 1.01, so the agricultural system is feasible. The break-even point (BEP) for receipts amounted to Rp. 2,160,006.45 while real receipts amounted to Rp. 2,224,800. This means that this agricultural system still benefits Rp. 64. 733.55. The break-even point for production is 184.48 Kg, while the actual production is 185.4 Kg. This means that production provides a benefit of 0.92 Kg. Break-even point selling price is Rp. 11,940.24/Kg while the actual selling price is Rp. 12,000/Kg. This agricultural system provides benefits of Rp. 60/Kg.
{"title":"Feasibility Analysis and Break Even Point Celery Farming (Apium graveolens L.) Hydroponic Deep Flow Technique (DFT) System (Case Study on a Farmer in Kayuambon Village, Lembang District, West Bandung Regency)","authors":"Tito Hardiyanto, R. Riswana, Arneta Arneta","doi":"10.46336/ijqrm.v4i2.448","DOIUrl":"https://doi.org/10.46336/ijqrm.v4i2.448","url":null,"abstract":"Medicinal properties. The celery plant also contains many apiin glycosides (flavone glycosides, isoquercetin, and umbelliferons. It also contains, mannite, inocytes, asparagine, glutamine, choline, linamarose, pro vitamin A, vitamin C, and B. This study aims to determine the cost, R/C Ratio, break-even point (BEP) of celery hydroponic farming system with deep flow technique (DFT). The analysis method used in this study is quantitative analysis by calculating and detailing the analysis of costs, income and receipts, feasibility, and break-even points. The results showed that the cost of the hydroponic agricultural system was Rp. 2,213,720.6. The R/C Ratio is 1.01, so the agricultural system is feasible. The break-even point (BEP) for receipts amounted to Rp. 2,160,006.45 while real receipts amounted to Rp. 2,224,800. This means that this agricultural system still benefits Rp. 64. 733.55. The break-even point for production is 184.48 Kg, while the actual production is 185.4 Kg. This means that production provides a benefit of 0.92 Kg. Break-even point selling price is Rp. 11,940.24/Kg while the actual selling price is Rp. 12,000/Kg. This agricultural system provides benefits of Rp. 60/Kg.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89348419","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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