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Analisis Pendukung Keputusan Penentuan Pembelian Bahan Pokok Untuk Pembuatan Nasi Kotak Menggunakan Fuzzy Tsukamoto
Pub Date : 2019-09-13 DOI: 10.30656/jlmsc.v1i2.1005
Achmad Chaierul Anam, Ali Musiri, Zona Harlinton, Wahyu Oktri Widyarto
Determining a decision in a business is quite difficult. Various considerations must be carefully calculated. Capital and the number of products ordered are sources of consideration that must be taken into account. This study discusses the implementation of fuzzy tsukamoto in making decisions on purchasing raw materials or making orders for rice boxes, where the input is capital of Rp. 3,500,000 and the number of orders is 500 boxes while the results of this study are four outputs including purchasing 93 Kg of rice, purchasing 47 chicken meat, purchasing 21 vegetables or fresh vegetables and purchasing 37 Kg of citrus fruit.
在商业中做出决定是相当困难的。必须仔细考虑各种因素。资金和订购的产品数量是必须考虑的因素。本研究讨论了模糊tsukamoto在采购原料或订购饭盒决策中的实施,其中投入为资本Rp. 3,500,000,订单数量为500盒,而本研究的结果是四个产出,包括采购93公斤大米,采购47鸡肉,采购21蔬菜或新鲜蔬菜和采购37公斤柑橘类水果。
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引用次数: 11
Prediksi Jumlah Produksi Tempe Kopti Menggunakan Logika Fuzzy Metode Mamdani PRIMKOPTI Serang 用模糊的逻辑攻击原始哺乳法对坦帕提的生产数量进行预测
Pub Date : 2019-09-13 DOI: 10.30656/jlmsc.v1i2.1006
Andi Irawan, I. Ajie, R. F. Island, Harsiti Harsiti
Capital is one of the problems faced by tempe producers, in each production, tempe producers issue capital that is erratic in order to influence. The level of production of tempeh it produces. In this study we will discuss how the application of fuzzy logic to the variable number of soybeans and the amount of yeast to predict the amount of tempe production. Data analysis was done by the mamdani method to find out the number of tempeh produced by craftsmen. The results of this study are in the form of three variables, namely 95 Kg of soybeans, 70 yeasts of spoonful and 487 pieces of tempe produced.
资金是豆豉生产商面临的问题之一,在每一次生产中,豆豉生产商发行的资金都是不稳定的,以施加影响。它生产的豆豉的水平。在本研究中,我们将讨论如何将模糊逻辑应用于可变的大豆数量和酵母数量来预测黄豆的产量。用mamdani法对数据进行分析,找出工匠生产的豆豉的数量。本研究的结果是三个变量的形式,即95公斤的大豆,70勺酵母和487片的豆豉生产。
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引用次数: 0
Penentuan Pembelian Bahan Baku Dan Jumlah Produksi Makanan Menggunakan Fuzzy Mamdani Pada Usaha Kedai Martabak XYZ 原始材料的采购和食品生产数量利用了对XYZ啤酒厂的模糊乳房
Pub Date : 2019-09-13 DOI: 10.30656/jlmsc.v1i2.1008
A. Sutrisno, Fajrin Fajrin, S. Anwar, Sandi Azizi, A. Setyawan
Various problems that often arise in this world often invite uncertainty, fuzzy logic is one method for analyzing systems that contain uncertainties, especially in the business world. In this study analyzing the problem of martabak cake sellers in the production process using the mamdani method or often also known as the min-max method. The problem faced is determining the raw material requirements and the amount of cake that must be produced. The results of the study show that for the raw materials available in such a way that at week 6 the seller needs to produce 720 servings of martabak cake.
世界上经常出现的各种问题往往会引起不确定性,模糊逻辑是分析包含不确定性的系统的一种方法,特别是在商业世界中。本研究使用mamdani方法或通常也称为最小-最大方法来分析martabak蛋糕卖家在生产过程中的问题。所面临的问题是确定原料要求和必须生产的蛋糕量。研究结果表明,在原料可用的情况下,卖方在第6周需要生产720份马尔塔巴克蛋糕。
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引用次数: 0
Decision Supporter for Determining Priority in Supply of Shoe Raw Materials Using the Simple Additive Weighting Method 用简单加性加权法确定鞋类原材料供应优先级的决策支持
Pub Date : 2019-09-12 DOI: 10.30656/jlmsc.v1i1.1669
A. Sani, T. Munandar, A. Suhendar
More and more types of raw materials will be used to expedite the shoe production process, making it difficult for companies to determine the priority of raw materials. So that there are often advantages and disadvantages of raw materials during the production process, which causes changes in the budget of production costs that are not in accordance with the initial plan, resulting in decreased corporate profits. Decision Support System (SPK) is a system that can help someone in making decisions that are accurate and right on target. Many problems can be solved by using SPK, one of which is determining priorities in the supply of raw materials. There are several methods that can be used in building a DSS, including simple addtive weighting (SAW). The Simple Additive Weighting (SAW) method is often also known as the weighted sum method, by finding the weighted sum of performance ratings for each alternative of all attributes. This study discusses the making of a decision support system as a tool for determining priorities in the supply of raw materials using the simple additive weighting (SAW) method. This application was developed with the Power Builder 8.0 programming language and Sybase SQL Anyware 5.0 as its database. The results of this study are able to help system users determine the priority of the supply of raw materials in order to facilitate the production process.
越来越多的原材料将被用于加快鞋类生产过程,这使得企业很难确定原材料的优先级。以至于在生产过程中往往会出现原材料的优劣,导致生产成本预算的变化不符合最初的计划,导致企业利润下降。决策支持系统(SPK)是一个可以帮助人们做出准确和正确的决策的系统。使用SPK可以解决许多问题,其中之一是确定原材料供应的优先次序。有几种方法可用于构建决策支持系统,包括简单加法加权(SAW)。简单加性加权(Simple Additive Weighting, SAW)方法通常也被称为加权和方法,方法是找到所有属性的每个选项的性能评级的加权和。本研究讨论了决策支持系统的制定,作为一种工具,以确定优先级的原材料供应使用简单加性加权(SAW)方法。本应用程序以Power Builder 8.0为编程语言,以Sybase SQL Anyware 5.0为数据库进行开发。本研究的结果可以帮助系统用户确定原材料供应的优先顺序,以促进生产过程。
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引用次数: 10
Group Decision Support System for Job Promotion Using the Simple Additive Weighting (SAW) Method 基于简单加性加权(SAW)方法的职位晋升群体决策支持系统
Pub Date : 2019-09-12 DOI: 10.30656/jlmsc.v1i1.1673
Muhar Dizani, S. Sumiati, S. Suherman
The Group Decision Support System is a tool used to help group decision makers become faster and more objective. A case study at Serang Raya University is the selection of employees for promotion. The problem is the difficulty in determining which employees will be promoted to fill a certain position and spend a lot of time and how to do the calculation? The research methodology used is system analysis, and calculation of the Simple Additive Weighting (SAW) method. The criteria chosen are based on staffing policies. The decision makers involved were the dean of the faculty, the head of the staffing department and the university's rector. Simple Additive Weighting (SAW) can determine the weight value for each attribute, then proceed with the ranking process that will select the best alternative from a number of alternatives. The results are used to make it easier for users to choose the employees to choose for promotion. This system is expected to help speed up employee decision making to be promoted.
群体决策支持系统是用来帮助群体决策者变得更快、更客观的工具。雪朗拉雅大学(Serang Raya University)的一个案例是选择员工升职。问题是很难确定哪些员工将被提升到某个职位,并花费大量时间和如何进行计算?研究方法采用系统分析和简单加性加权(SAW)计算法。所选择的标准是根据人员配置政策制定的。参与其中的决策者包括学院院长、人事部门负责人和大学校长。简单相加加权(Simple Additive Weighting, SAW)可以确定每个属性的权重值,然后进行排序过程,从众多选项中选择最佳选项。结果用于用户更容易地选择要选择的员工进行晋升。预计该制度将有助于加快员工的晋升决策。
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引用次数: 1
Adhesive Calculation System for Determination of Bonding Glue Needs Using Weighted Product and Lot Sizing Methods 使用加权产品和批量确定方法确定粘合胶水需求的粘合剂计算系统
Pub Date : 2019-09-12 DOI: 10.30656/jlmsc.v1i1.1671
Ita Purnamasari, Agus Setyawan, R. N. Hay’s
The production process that exists at PT. Parkland World Indonesia consists of several parts of the production process, one of which is the production process ofondonding which is used for shoe glue between outsole and upper. Adhesive is a material that is able to connect or unite the two surfaces of separate objects so that it has adequate strength when subjected to the load. This study discusses the making of an adhesive calculation system as a determination of the need for the first time to be ordered, using the weighted product method and lot sizing. The application was developed using the Power Builder programming language with Sybase SQL anyware as its database. With this system will help managers or superiors to know and determine alternative priorities or types of adhesive needs that must be prioritized for adhesive needs to help smooth the production process. To minimize the total cost of adhesive requirements.
PT. Parkland World Indonesia的生产过程包括几个部分的生产过程,其中一个是用于大底和鞋面之间的鞋胶的ondonding生产过程。粘合剂是一种能够连接或粘合分开物体的两个表面,使其在承受载荷时具有足够强度的材料。本研究讨论了胶黏剂计算系统的制作,以确定需要的第一次订购,使用加权乘积法和批量大小。该应用程序是使用Power Builder编程语言开发的,以Sybase SQL anyware为数据库。有了这个系统,管理人员或上级将了解并确定粘合剂需求的优先级或类型,这些需求必须优先考虑,以帮助顺利生产过程。以尽量减少粘合剂的总成本要求。
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引用次数: 0
Intelligent Software for Classification of Regional Inequality in Banten Province Using the Williamson Index 基于Williamson指数的万丹省区域不平等分类智能软件
Pub Date : 2019-09-12 DOI: 10.30656/jlmsc.v1i1.1672
Tubagus Rachmat Hidayat, H. Harsiti, Z. Muttaqin, Maya Selvia Lauryn
The process of development in some areas occur quickly, but several areas experienced a very slow process. In this case, the local government has some problems in the process of implementing of local development, whether in policy making or proposing a strategy for local development, as well as improving the environment in order to support the development of their region's economy. Banten Province is a province located at the west of Java. The administrative conditions which is directly bordered with Jakarta as a capital city and West Java province makes Banten province become the most strategic regions. Based on economic growth data of Banten Province in 2010 - 2015, it can be seen that economic growth of Banten Province is increasing positively in five years. Although the growth of economic development in Banten province tend to be positive, it can be seen significantly that there is still a level of development that has an index of inequality  in some districts or cites in Banten. In the process of identification the inequality level among the districts in Banten province, the government usually analyze the case by using manual calculations to determine the policy that should be taken in addressing the inequality that occur in those districts. This process takes quite a long time to take the policy in structuring regional areas. In determining the area of inequality, the government requires Gross Regional Domestic Product (GRDP) data and the data of the population which can be calculated by using several inequality area methods. The method that often used is the Shift Share, Index Gain, Williamson Index and Klassen Typology. In some cases, Williamson index is often used in calculating the inequality between regions or territories. Several studies that had used Williamason index in identifying inequality development usually used the data analysis without particular tools such as software. It complicates the process of inequality analysis if the amount of the data is quite big. Therefore, this study aims to develop the software as a supporting tool for the identification of inequality development using Williamson index. The application is based-website to make it easier for the identification process.
一些地区的发展过程很快,但一些地区经历了一个非常缓慢的过程。在这种情况下,地方政府在实施地方发展的过程中,无论是制定政策还是提出地方发展战略,以及改善环境以支持本地区经济的发展,都存在一些问题。万丹省是爪哇西部的一个省。与首都雅加达和西爪哇省直接接壤的行政条件使万丹省成为最具战略意义的地区。根据万丹省2010 - 2015年的经济增长数据可以看出,万丹省的经济增长在五年内都是正增长的。虽然万丹省的经济发展增长趋向于正增长,但可以明显地看到,万丹部分地区或城市的发展水平仍然存在一个不平等指数。在确定万丹省地区之间的不平等程度的过程中,政府通常通过人工计算来分析案例,以确定应对这些地区发生的不平等应采取的政策。这一过程需要相当长的时间来制定区域结构政策。在确定不平等区域时,政府需要地区国内生产总值(GRDP)数据和人口数据,这些数据可以通过使用几种不平等区域方法来计算。常用的方法有Shift Share、Index Gain、Williamson Index和Klassen类型学。在某些情况下,威廉姆森指数经常用于计算地区或地区之间的不平等。一些使用威廉姆森指数来识别不平等发展的研究通常使用数据分析,而没有使用软件等特定工具。如果数据量很大,则会使不平等分析过程变得复杂。因此,本研究旨在开发软件,作为使用Williamson指数识别不平等发展的辅助工具。该应用程序基于网站,使其更容易识别过程。
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引用次数: 1
Determination of the Amount of Masterbatch Production Using the Fuzzy-Mamdani Method 模糊-马达尼法测定母粒产量
Pub Date : 2019-09-12 DOI: 10.30656/jlmsc.v1i1.1670
Fikri Radiansyah, W. O. Widyarto
Based on demand data from January 2013 to December 2013 at PT. Bukit Surya Mas there is an increase in demand, supply and amount of consumer production every month. With the occurrence of demand, supply and maximum production results PT. Bukit Surya Mas always tries to ensure that the amount of production ordered can be completed on time. This is done as a way to give satisfaction to customers, so that there will be no shortage of production services to consumers just because of the late delivery of the product. Problems that arise in this world often contain uncertainty, fuzzy logic is one method for analyzing systems that contain uncertainty. In this study the Mamdani method or often also known as the Min - Max method. The design of the system to get the output is done in stages (a) the formation of the fuzzy set, (b) the application of the implication function, (c) forming the rules, (d) affirmation (defuzzification). In this study defuzzification was carried out using the centroid method. In this method the defuzzyfication value moves smoothly, so changes in the fuzzy set will also move smoothly. From the results of the research that has been carried out, the following is the Masterbatch product from the input variable in January 2014, namely the total demand of 150,735.00 kg and the total inventory of 24,785 kg resulting in an output of 20,300 units.
根据2013年1月至2013年12月Bukit Surya Mas工厂的需求数据,每个月的需求、供应和消费产量都在增加。随着需求,供应和最大生产结果的发生,武吉Surya Mas总是努力确保订购的生产数量能够按时完成。这样做是为了让客户满意,这样就不会因为产品的延迟交付而缺少对消费者的生产服务。世界上出现的问题往往包含不确定性,模糊逻辑是分析包含不确定性的系统的一种方法。在这项研究中,Mamdani方法或通常也称为最小-最大方法。得到输出的系统设计分为(a)模糊集的形成,(b)隐含函数的应用,(c)规则的形成,(d)确认(去模糊化)阶段。本研究采用质心法进行去模糊化。在该方法中,去模糊化值平滑移动,因此模糊集的变化也会平滑移动。从已开展的研究结果来看,以下是2014年1月输入变量的母粒产品,即总需求量150,735.00 kg,总库存24,785 kg,产量20,300个单位。
{"title":"Determination of the Amount of Masterbatch Production Using the Fuzzy-Mamdani Method","authors":"Fikri Radiansyah, W. O. Widyarto","doi":"10.30656/jlmsc.v1i1.1670","DOIUrl":"https://doi.org/10.30656/jlmsc.v1i1.1670","url":null,"abstract":"Based on demand data from January 2013 to December 2013 at PT. Bukit Surya Mas there is an increase in demand, supply and amount of consumer production every month. With the occurrence of demand, supply and maximum production results PT. Bukit Surya Mas always tries to ensure that the amount of production ordered can be completed on time. This is done as a way to give satisfaction to customers, so that there will be no shortage of production services to consumers just because of the late delivery of the product. Problems that arise in this world often contain uncertainty, fuzzy logic is one method for analyzing systems that contain uncertainty. In this study the Mamdani method or often also known as the Min - Max method. The design of the system to get the output is done in stages (a) the formation of the fuzzy set, (b) the application of the implication function, (c) forming the rules, (d) affirmation (defuzzification). In this study defuzzification was carried out using the centroid method. In this method the defuzzyfication value moves smoothly, so changes in the fuzzy set will also move smoothly. From the results of the research that has been carried out, the following is the Masterbatch product from the input variable in January 2014, namely the total demand of 150,735.00 kg and the total inventory of 24,785 kg resulting in an output of 20,300 units.","PeriodicalId":347800,"journal":{"name":"Journal of Machine Learning and Soft Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122373144","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}
引用次数: 1
Expert System for Diagnosing Types of Diseases in Human Intestine Organs Using the Certainty Factor Method 确定因子法诊断人体肠道器官疾病类型的专家系统
Pub Date : 2019-07-31 DOI: 10.30656/jlmsc.v1i2.1676
Elis Nurhayatmi, Z. Muttaqin, A. Sugiyarta, R. N. Hay’s
Intestine is one of the organs of the digestive system in the human body which is shaped like pipes and act as gatekeeper food system for our bodies. Many people do not noticed his intestines health because they are too busy with his activity, or lazy to go to the doctor, even when hospital were many visitors there is also felt a lot of to waste time to queue up because they want to get their turn to be checked and a lot of costs to be incurred. This research discusses about creating expert system to diagnose intestinal diseases using certainty factor method.  Applications developed with Visual Basic programming language with MySQL as its database. The results of this research able to do early diagnosis of the symptoms that is felt system users, and provide diagnostic results such as type of disease suffered, prevention and its information.
肠道是人体消化系统的器官之一,呈管道状,是人体食物系统的看门人。很多人没有注意到自己的肠道健康,因为他们太忙于自己的活动,或者懒得去看医生,即使在医院有很多访客的时候,也觉得浪费了很多时间去排队,因为他们想要轮到自己去检查,而且要花费很多费用。本研究探讨了利用确定性因子法建立肠道疾病诊断专家系统。以MySQL为数据库,使用Visual Basic编程语言开发的应用程序。本研究结果能够对系统用户所感受到的症状做早期诊断,并提供所患疾病类型、预防及其诊断结果等信息。
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引用次数: 3
Optimization of Total Production of Refined Sugar From Raw Sugar Raw Materials and Supporting Raw Materials Using the Generate-And-Test Method at PT. DSI Banten 万丹DSI厂以原糖原料及配套原料为原料,用生成-测试法优化精制糖总产量
Pub Date : 2019-07-31 DOI: 10.30656/jlmsc.v1i2.1677
S. Rahayu, Andri Budi Kusumah, S. Supriyadi, W. O. Widyarto
The search problem is a problem that is commonly applied to systems based on the concept of Artificial Intelligence. One of the well-known heuristic search methods in Artificial Intelligence terminology is Generate and Test. In general, there are no companies operating without raw materials, raw materials in PT. DSI is a type of main and supporting raw material. Refined sugar production at PT. DSI Banten has been experiencing fluctuations in the output of production every day, the data in April 2014 showed from 1-7 consecutively that is 726, 578, 592, 518, 692, 734, 473 tons (PT. DSI, April 2014 ). The purpose of this study is to implement the heuristic search concept with the Generate and Test Algorithm in the search for a combination of the two raw materials to obtain the highest amount of production / output in the form of refined sugar, from the results of this study obtained a system that is able to find the highest amount of sugar production per cuisine, namely in the form of types of supporting raw materials (Limestone CaO, HCL, NaOH) and types of main raw materials (Raw sugar). After conducting research through the heuristic search concept with the GnT method, from 3 types of supporting raw materials (type 1: supplier from PT. SAP, type 2: supplier from PT. MNA, type 3: supplier from PT. CKT) and 3 types of raw material main (raw sugar 1: import from Australia, raw sugar type 2: import from Vietnam, raw sugar type 3: import from Thailand) found an optimization of the two raw materials with the results of supporting material type "3" and main raw material type " 2 "with the amount of 123 tons per cuisine for refined sugar output, the results obtained are able to increase productivity in the refined sugar processing.
搜索问题是一个通常应用于基于人工智能概念的系统的问题。人工智能术语中一个著名的启发式搜索方法是生成和测试。一般来说,没有任何公司经营都离不开原材料,原材料中PT、DSI是一类主要和配套的原材料。PT. DSI万腾的精制糖产量每天都在波动,2014年4月的数据显示从1-7连续为726、578、592、518、692、734、473吨(PT. DSI, 2014年4月)。本研究的目的是实现启发式搜索的概念的产生和测试算法在搜索的组合两个原材料获得最高的生产/输出精制糖的形式,从这项研究的结果获得了系统能够找到每菜糖生产的最高金额,即形式的类型的支持原材料(石灰石曹、盐酸、氢氧化钠)和类型的主要原材料(粗糖)。采用GnT方法通过启发式搜索概念进行研究,从3种配套原料(类型1:来自PT. SAP的供应商,类型2:来自PT. MNA的供应商,类型3:来自PT. CKT的供应商)和3种主要原料(原糖1:从澳大利亚进口,原糖2:从越南进口,原糖3:(泰国进口)对两种原料进行了优化,得到了“3”型辅助原料和“2”型主要原料,每道菜的精制糖产量为123吨,从而提高了精制糖加工的生产率。
{"title":"Optimization of Total Production of Refined Sugar From Raw Sugar Raw Materials and Supporting Raw Materials Using the Generate-And-Test Method at PT. DSI Banten","authors":"S. Rahayu, Andri Budi Kusumah, S. Supriyadi, W. O. Widyarto","doi":"10.30656/jlmsc.v1i2.1677","DOIUrl":"https://doi.org/10.30656/jlmsc.v1i2.1677","url":null,"abstract":"The search problem is a problem that is commonly applied to systems based on the concept of Artificial Intelligence. One of the well-known heuristic search methods in Artificial Intelligence terminology is Generate and Test. In general, there are no companies operating without raw materials, raw materials in PT. DSI is a type of main and supporting raw material. Refined sugar production at PT. DSI Banten has been experiencing fluctuations in the output of production every day, the data in April 2014 showed from 1-7 consecutively that is 726, 578, 592, 518, 692, 734, 473 tons (PT. DSI, April 2014 ). The purpose of this study is to implement the heuristic search concept with the Generate and Test Algorithm in the search for a combination of the two raw materials to obtain the highest amount of production / output in the form of refined sugar, from the results of this study obtained a system that is able to find the highest amount of sugar production per cuisine, namely in the form of types of supporting raw materials (Limestone CaO, HCL, NaOH) and types of main raw materials (Raw sugar). After conducting research through the heuristic search concept with the GnT method, from 3 types of supporting raw materials (type 1: supplier from PT. SAP, type 2: supplier from PT. MNA, type 3: supplier from PT. CKT) and 3 types of raw material main (raw sugar 1: import from Australia, raw sugar type 2: import from Vietnam, raw sugar type 3: import from Thailand) found an optimization of the two raw materials with the results of supporting material type \"3\" and main raw material type \" 2 \"with the amount of 123 tons per cuisine for refined sugar output, the results obtained are able to increase productivity in the refined sugar processing.","PeriodicalId":347800,"journal":{"name":"Journal of Machine Learning and Soft Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126152013","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}
引用次数: 2
期刊
Journal of Machine Learning and Soft Computing
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