Wiwiet Herulambang, Fardanto Setyatama, Muhammad Zulfikkih
PMS Employee Cooperative is a savings and loan cooperative which aims to provide storage and loan services to employees who work at PT. Pro Manunggal Solusi and does not yet have a Decision Support System (SPK). A decision support system is needed in determining the eligibility of cooperative loans to employees. This study aims to help simplify and accelerate and minimize errors that occur in the cooperative borrower feasibility assessment process. The method used for this decision is to use the Simple Additive Weighting (SAW) method. Six criteria are used for the loan eligibility assessment process, namely criteria 1 (Loan size), criterion 2 (Loan Purpose), criterion 3 (Salary), criterion 4 (Position), criterion 5 (Age), criterion 6 (Period of service). Based on the results of the calculation, it can be concluded that each loan employee will be approved according to the ranking and is limited by the balance. If the balance is sufficient, the loan will be approved, but if the balance is less, the loan will be rejected. Of the total value of the ranking results, loans approved with a sufficient balance were Susanto (0.82) with a 12.13% chance, Sentot Sudiyantono (0.80) with a probability of 11.83%, and Siswandi (0.73) with big chance 10.80%.
PMS员工合作社是一个储蓄和贷款合作社，旨在为在PT. Pro Manunggal Solusi工作且尚未安装决策支持系统(SPK)的员工提供存储和贷款服务。需要一个决策支持系统来确定向雇员提供合作贷款的资格。本研究旨在帮助简化、加速和减少合作借款人可行性评估过程中出现的错误。用于此决策的方法是使用简单加性加权(SAW)方法。贷款资格评估过程使用了六个标准，即标准1(贷款规模)、标准2(贷款目的)、标准3(工资)、标准4(职位)、标准5(年龄)、标准6(服务年限)。根据计算结果，可以得出每个贷款员工将根据排名进行审批，并受余额限制。如果余额足够，贷款将被批准，但如果余额不足，贷款将被拒绝。在整个排名结果中，余额充足的贷款被批准的可能性依次为:Susanto(0.82)(12.13%)、Sentot Sudiyantono(0.80)(11.83%)、Siswandi(0.73)(10.80%)。
{"title":"System for Determining House Credit Recipients Based on Data of Cooperative Members Using Simple Additive Weighting (SAW)","authors":"Wiwiet Herulambang, Fardanto Setyatama, Muhammad Zulfikkih","doi":"10.54732/jeecs.v5i2.91","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.91","url":null,"abstract":"PMS Employee Cooperative is a savings and loan cooperative which aims to provide storage and loan services to employees who work at PT. Pro Manunggal Solusi and does not yet have a Decision Support System (SPK). A decision support system is needed in determining the eligibility of cooperative loans to employees. This study aims to help simplify and accelerate and minimize errors that occur in the cooperative borrower feasibility assessment process. The method used for this decision is to use the Simple Additive Weighting (SAW) method. Six criteria are used for the loan eligibility assessment process, namely criteria 1 (Loan size), criterion 2 (Loan Purpose), criterion 3 (Salary), criterion 4 (Position), criterion 5 (Age), criterion 6 (Period of service). Based on the results of the calculation, it can be concluded that each loan employee will be approved according to the ranking and is limited by the balance. If the balance is sufficient, the loan will be approved, but if the balance is less, the loan will be rejected. Of the total value of the ranking results, loans approved with a sufficient balance were Susanto (0.82) with a 12.13% chance, Sentot Sudiyantono (0.80) with a probability of 11.83%, and Siswandi (0.73) with big chance 10.80%.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134064897","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}
Dengue Hemorrhagic Fever is a disease that is quite popular in Indonesia. Judging from the large number of patients infected with the disease and not a small number of patients died due to not being helped immediately. Lack of public sensitivity to the symptoms of dengue hemorrhagic fever is what ultimately causes many casualties,due to late getting medical treatment. Thus, accurate analytical skills are needed in assisting the patient diagnosis process. The Backward Chaining method is a chain that is traversed from a hypothesis back to the facts that support the hypothesis, and the Certainty Factor is a method to prove whether a fact is certain. The system can be run if the user enters the symptoms experienced and provides a confidence value for the symptoms they are experiencing and then gets a diagnosis and a solution.
{"title":"Expert System for Diagnosis of Blood Fever Disease Dengue Using the Chaining and Backward Method Certainty Factor","authors":"Rifki Fahrial Zainal, Eko Prasetyo, Achmad Ferdiansyah","doi":"10.54732/jeecs.v5i2.88","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.88","url":null,"abstract":"Dengue Hemorrhagic Fever is a disease that is quite popular in Indonesia. Judging from the large number of patients infected with the disease and not a small number of patients died due to not being helped immediately. Lack of public sensitivity to the symptoms of dengue hemorrhagic fever is what ultimately causes many casualties,due to late getting medical treatment. Thus, accurate analytical skills are needed in assisting the patient diagnosis process. The Backward Chaining method is a chain that is traversed from a hypothesis back to the facts that support the hypothesis, and the Certainty Factor is a method to prove whether a fact is certain. The system can be run if the user enters the symptoms experienced and provides a confidence value for the symptoms they are experiencing and then gets a diagnosis and a solution.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115245242","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}
Indonesia is a country with a majority Muslim population. In the daily life of the Indonesian population, it is inseparable from the influences of Islamic teachings. In life in this world there are many commands of Allah that must be carried out, including the order to pay zakat. One of them is when Eid al-Fitr is required to pay zakat fitrah for each of its citizens. In grouping the distribution of zakat fitrah using the Naïve Bayes classification method. Naïve Bayes classification itself is a classification method that can be applied in classification. The classification system used to classify categories of zakat fitrah recipients. From each test results using test data and training data randomly, and each test using training data which increased 37 pieces of data in each test. It can be concluded that the more training data the level of accuracy decreases. The determination of the amount of training data and test data is very influential on the final results of calculations using the Naïve Bayes method. Class determination also affects the final results of calculations using this Naïve Bayes method.
{"title":"Classification of Zakat Fitrah Recipients Using Naïve Bayes Method","authors":"R. Adityo","doi":"10.54732/jeecs.v5i2.94","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.94","url":null,"abstract":"Indonesia is a country with a majority Muslim population. In the daily life of the Indonesian population, it is inseparable from the influences of Islamic teachings. In life in this world there are many commands of Allah that must be carried out, including the order to pay zakat. One of them is when Eid al-Fitr is required to pay zakat fitrah for each of its citizens. In grouping the distribution of zakat fitrah using the Naïve Bayes classification method. Naïve Bayes classification itself is a classification method that can be applied in classification. The classification system used to classify categories of zakat fitrah recipients. From each test results using test data and training data randomly, and each test using training data which increased 37 pieces of data in each test. It can be concluded that the more training data the level of accuracy decreases. The determination of the amount of training data and test data is very influential on the final results of calculations using the Naïve Bayes method. Class determination also affects the final results of calculations using this Naïve Bayes method.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238681","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}
Andrew Aldy Wala, Syariful Alim, Fardanto Setyatama
One of the common problems often faced by companies or organizations in the service sector is the problem of service user dissatisfaction with the quality of service provided. One of the service units in Ubhara is the Bhayangkara University Library. The quality of library services can be influenced by several factors, such as library collections, employee competence and library facilities. The data collection technique used a Likert scale questionnaire, which consists of 3 exogenous latent variables and 1 endogenous latent variable with a total of 14 indicators. The method used is data analysis using the Structural Equation Modeling (SEM) approach assisted by the LISREL 8.80 program. The problem in this study is to determine the effect and significance of the library collection variables (X1), employee competence (X2) and library facilities (X3) on service quality (Y). The hypothesis in this study is that there is a positive influence between employee competence and library facilities on service quality. The number of samples in this study were 100 students who visited the Ubhara Library. Based on the results of the study, the variable X1 estimate is 0.09 and the T-value is 0.67, the variable X2 estimate is 0.44 and the T-value is 2.97 and the variable X3 estimate is 0.46 and the T-value is 3.02. So the latent variables of employee competence and library facilities have a positive effect on the quality of library services. Meanwhile, the library collection variable has no positive effect on service quality.
{"title":"Use of Structural Equation Modeling Method for Analysis of Factors Affecting the Quality of Library Services of Bhayangkara University","authors":"Andrew Aldy Wala, Syariful Alim, Fardanto Setyatama","doi":"10.54732/jeecs.v5i2.89","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.89","url":null,"abstract":"One of the common problems often faced by companies or organizations in the service sector is the problem of service user dissatisfaction with the quality of service provided. One of the service units in Ubhara is the Bhayangkara University Library. The quality of library services can be influenced by several factors, such as library collections, employee competence and library facilities. The data collection technique used a Likert scale questionnaire, which consists of 3 exogenous latent variables and 1 endogenous latent variable with a total of 14 indicators. The method used is data analysis using the Structural Equation Modeling (SEM) approach assisted by the LISREL 8.80 program. The problem in this study is to determine the effect and significance of the library collection variables (X1), employee competence (X2) and library facilities (X3) on service quality (Y). The hypothesis in this study is that there is a positive influence between employee competence and library facilities on service quality. The number of samples in this study were 100 students who visited the Ubhara Library. Based on the results of the study, the variable X1 estimate is 0.09 and the T-value is 0.67, the variable X2 estimate is 0.44 and the T-value is 2.97 and the variable X3 estimate is 0.46 and the T-value is 3.02. So the latent variables of employee competence and library facilities have a positive effect on the quality of library services. Meanwhile, the library collection variable has no positive effect on service quality.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132043030","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 aims to make it easier for users to choose the type of orchid that is suitable for planting in the user's environmental conditions. This research was conducted because there were many orchid enthusiasts who wanted to cultivate it but it was not balanced with knowledge of the characteristics of orchids that can live in ideal environmental conditions. The SAW method plays a role in the initial classification where the results of the SAW method classification are sorted from the largest value to the smallest value, then the 10 best results from the SAW method will be processed by the AHP method and produce the final result, the recommended orchid. The final result obtained in this system is in accordance with the manual calculations performed, this means that the system classifies rules properly and accordingly.
{"title":"Decision Support System for Selecting Order Types Using the SAW-AHP Method","authors":"M. Hidayat, M. Hamidah, Rizky Wahyu Prastyawan","doi":"10.54732/jeecs.v5i2.92","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.92","url":null,"abstract":"This study aims to make it easier for users to choose the type of orchid that is suitable for planting in the user's environmental conditions. This research was conducted because there were many orchid enthusiasts who wanted to cultivate it but it was not balanced with knowledge of the characteristics of orchids that can live in ideal environmental conditions. The SAW method plays a role in the initial classification where the results of the SAW method classification are sorted from the largest value to the smallest value, then the 10 best results from the SAW method will be processed by the AHP method and produce the final result, the recommended orchid. The final result obtained in this system is in accordance with the manual calculations performed, this means that the system classifies rules properly and accordingly.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128202913","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 3-dimensional animation designed and presented as learning media has grown rapidly nowadays, 3-dimensional animated characters in regional musical instruments can be one of the learning media for the general public especially children. How to present different learning 3-dimensional animation content, can attract the general public and children to learn, one of them using augmented reality technology. Augmented reality is the practice of combining image media with a 3-dimensional object that brings out 3- dimensional objects from cyberspace to the real world. This way can be a form of learning, where users can see and understand that learning can be conveyed through efficient learning, in the concept of augmented reality, users not only play with this application but can Learn knowledge about regional musical instruments in Indonesia. Development of the learning system of Multimedia applications regional musical instruments in Indonesia using Augmented Reality technology is able to provide knowledge in learning that is not only in general public but also for children Children who want to add insight into the knowledge of regional culture art, especially local musical instruments in Indonesia
{"title":"Applications Learning Musical Instruments in Indonesia Using Augmented Reality Technology","authors":"Rahmawati Febrifyaning Tias","doi":"10.54732/jeecs.v5i2.93","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.93","url":null,"abstract":"The 3-dimensional animation designed and presented as learning media has grown rapidly nowadays, 3-dimensional animated characters in regional musical instruments can be one of the learning media for the general public especially children. How to present different learning 3-dimensional animation content, can attract the general public and children to learn, one of them using augmented reality technology. Augmented reality is the practice of combining image media with a 3-dimensional object that brings out 3- dimensional objects from cyberspace to the real world. This way can be a form of learning, where users can see and understand that learning can be conveyed through efficient learning, in the concept of augmented reality, users not only play with this application but can Learn knowledge about regional musical instruments in Indonesia. Development of the learning system of Multimedia applications regional musical instruments in Indonesia using Augmented Reality technology is able to provide knowledge in learning that is not only in general public but also for children Children who want to add insight into the knowledge of regional culture art, especially local musical instruments in Indonesia","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129966818","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}
Maritime security in Indonesia is an indicator of the success of the Government in managing the sovereignty of the State because two-thirds of Indonesia is sea, so Indonesia is called a maritime country. This study aims to predict the number of law violations in Indonesian seas. Predicting events is a strategic step to set the next security operation strategy. The method used to predict violations of law at sea in Indonesia is Fuzzy Double Exponential Smoothing, the Fuzzy method is used to normalize violation data and the Double Exponential Smoothing method is used to predict future events, a combination of fuzzy and double exponential smoothing methods was developed to improve some previous research which only use exponential smoothing only in making predictions. The data processed is data on violations of law at sea in Indonesia from 1996 to 2019 from the Indonesian Maritime Security Agency. The results obtained from this study are the data smoothing constant value (α = 0.81), the trend smoothing value (γ = 0.08), the mean absolute percentage error value (MAPE = 21.78%) and the root mean value average error (RMSE = 60.72). The results of this study predict that the number of violations of law at sea in Indonesia in 2020 will decrease to 98 cases, this is due to several factors, including the focus of the Government on carrying out security operations in Indonesian seas in an integrated manner involving many institutions. The research contribution can be considered by Indonesian Maritime Security Agency to improve Indonesia's maritime security by involving institutions that have legal authority in Indonesian seas
{"title":"Forecasting Number of Legal Violations in Indonesian Sea Using the Fuzzy Double Exponential Smoothing Method","authors":"Hozairi, Syariful Alim, H. Lumaksono, M. Tukan","doi":"10.54732/jeecs.v5i2.97","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.97","url":null,"abstract":"Maritime security in Indonesia is an indicator of the success of the Government in managing the sovereignty of the State because two-thirds of Indonesia is sea, so Indonesia is called a maritime country. This study aims to predict the number of law violations in Indonesian seas. Predicting events is a strategic step to set the next security operation strategy. The method used to predict violations of law at sea in Indonesia is Fuzzy Double Exponential Smoothing, the Fuzzy method is used to normalize violation data and the Double Exponential Smoothing method is used to predict future events, a combination of fuzzy and double exponential smoothing methods was developed to improve some previous research which only use exponential smoothing only in making predictions. The data processed is data on violations of law at sea in Indonesia from 1996 to 2019 from the Indonesian Maritime Security Agency. The results obtained from this study are the data smoothing constant value (α = 0.81), the trend smoothing value (γ = 0.08), the mean absolute percentage error value (MAPE = 21.78%) and the root mean value average error (RMSE = 60.72). The results of this study predict that the number of violations of law at sea in Indonesia in 2020 will decrease to 98 cases, this is due to several factors, including the focus of the Government on carrying out security operations in Indonesian seas in an integrated manner involving many institutions. The research contribution can be considered by Indonesian Maritime Security Agency to improve Indonesia's maritime security by involving institutions that have legal authority in Indonesian seas","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128868693","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 location of an area greatly influences the agricultural sector, including the Waru Subdistrict, Pamekasan Regency, a geographical condition that incidentally consists of hilly plains or highlands. So it is very influential on food plants that can be developed in the area. The objective to be achieved in this final project is to make a Decision Support System application for the Best Shallot Producing Region in Waru Subdistrict, Pamekasan Regency Using the TOPSIS Method. From the results of the study it can be concluded that the application system that has been made is running well and quite User Friendly, from the five villages in the Waru sub-district which were used as experimental data, it can be concluded that the selection of the best village using the TOPSIS method recommended for shallot cultivation is Sanah Laok village. with the highest score is 0.6312.
{"title":"Best Regional Selection Decision Support System for Shallots in Waru District, Pamekasan Regency Using Topsis Method","authors":"Fathorrozi Ariyanto, Rofiuddin","doi":"10.54732/jeecs.v5i2.96","DOIUrl":"https://doi.org/10.54732/jeecs.v5i2.96","url":null,"abstract":"The location of an area greatly influences the agricultural sector, including the Waru Subdistrict, Pamekasan Regency, a geographical condition that incidentally consists of hilly plains or highlands. So it is very influential on food plants that can be developed in the area. The objective to be achieved in this final project is to make a Decision Support System application for the Best Shallot Producing Region in Waru Subdistrict, Pamekasan Regency Using the TOPSIS Method. From the results of the study it can be concluded that the application system that has been made is running well and quite User Friendly, from the five villages in the Waru sub-district which were used as experimental data, it can be concluded that the selection of the best village using the TOPSIS method recommended for shallot cultivation is Sanah Laok village. with the highest score is 0.6312.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124056459","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}
Wildansyah Rokhmana Putra, R. Purbaningtyas, E. Prasetyo
Every employee who works must understand safety in order to create a conducive work environment and Zero Accident. This study aims to create an Evaluation System for Understanding Safety, Health and Safety (K3) by using the Cumulative Voting Method so that it can optimize the quality of K3 in the company to be more effective and efficient. From the application trial results obtained the results of the validity test between manual data and application data have a difference in the results because the manual workmanship is calculated with a manual averagewithout any cumulativevalue of each item being tested. Application of K3 Comprehension Evaluation with Cumulative Voting Method can also prevent or minimize user input errors.
{"title":"Evaluation of Understanding of Safety, Health and Safety (K3) Using the Method Cumulative Voting (case Study of PT. Kencar Sukses Investama)","authors":"Wildansyah Rokhmana Putra, R. Purbaningtyas, E. Prasetyo","doi":"10.54732/jeecs.v5i1.107","DOIUrl":"https://doi.org/10.54732/jeecs.v5i1.107","url":null,"abstract":"Every employee who works must understand safety in order to create a conducive work environment and Zero Accident. This study aims to create an Evaluation System for Understanding Safety, Health and Safety (K3) by using the Cumulative Voting Method so that it can optimize the quality of K3 in the company to be more effective and efficient. From the application trial results obtained the results of the validity test between manual data and application data have a difference in the results because the manual workmanship is calculated with a manual averagewithout any cumulativevalue of each item being tested. Application of K3 Comprehension Evaluation with Cumulative Voting Method can also prevent or minimize user input errors.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125682315","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}
M. M. Putra, Rahmawati Febrifyaning Tias, Ayu Dwi Safitri
Along with the development and progress of current technology, fuel oil is one of the basic needs for both industry and transportation, demands will this fuel service becomes very important, and pertamina as the material provider fuel oil, must be able to guarantee the availability and smoothness of fuel products oil. The purpose of this study is to predict the amount of premium sales, pertalite, bio solar, Pertamax, and Pertamax turbo at Klampis Surabaya gas station for 2018 by using the forecasting method Exponential Moving Average ( EMA). Based on the results data processing carried out it can be concluded that the forecasting method that period 30 days are more accurate in predicting Premium, Pertalite, and Bio Solar 2018. And the 365 day period more accurate in predicting Pertamax, and Pertamax Turbo. Based on comparison of values MSE with MAPE, it can be concluded that using the MSE method to find values more good errors in this study. Based on the comparison of MSE values with MAPE, it can be concluded that using the MSE method to find better error valuesin this research.
随着当前技术的发展和进步，燃料油是工业和交通运输的基本需求之一，这种需求将燃料油的服务变得非常重要，而印尼石油公司作为燃料油的原料供应商，必须能够保证燃料油的可用性和畅通性。本研究的目的是利用指数移动平均(EMA)预测方法，预测2018年Klampis泗水加油站的溢价销售额、pertalite、生物太阳能、Pertamax和Pertamax涡轮的数量。通过对结果数据的处理，可以得出周期为30天的预测方法对Premium、Pertalite和Bio Solar 2018的预测更为准确。而365天周期在预测Pertamax和Pertamax Turbo时更为准确。通过比较MSE和MAPE的值，可以得出MSE方法在本研究中找到的值误差更大。通过MSE与MAPE的比较，可以得出MSE方法在本研究中可以找到更好的误差值。
{"title":"Forecasting Sales of Premium Oil Fuel, Pertalite, Pertamax, Pertamax Turbo and Bio Solar Using the Method Exponential Moving Average (EMA) (case Study: Klampis Gas Station Surabaya)","authors":"M. M. Putra, Rahmawati Febrifyaning Tias, Ayu Dwi Safitri","doi":"10.54732/jeecs.v5i1.104","DOIUrl":"https://doi.org/10.54732/jeecs.v5i1.104","url":null,"abstract":"Along with the development and progress of current technology, fuel oil is one of the basic needs for both industry and transportation, demands will this fuel service becomes very important, and pertamina as the material provider fuel oil, must be able to guarantee the availability and smoothness of fuel products oil. The purpose of this study is to predict the amount of premium sales, pertalite, bio solar, Pertamax, and Pertamax turbo at Klampis Surabaya gas station for 2018 by using the forecasting method Exponential Moving Average ( EMA). Based on the results data processing carried out it can be concluded that the forecasting method that period 30 days are more accurate in predicting Premium, Pertalite, and Bio Solar 2018. And the 365 day period more accurate in predicting Pertamax, and Pertamax Turbo. Based on comparison of values MSE with MAPE, it can be concluded that using the MSE method to find values more good errors in this study. Based on the comparison of MSE values with MAPE, it can be concluded that using the MSE method to find better error valuesin this research.","PeriodicalId":273708,"journal":{"name":"JEECS (Journal of Electrical Engineering and Computer Sciences)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129299744","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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