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Optimasi Biaya Pemupukan Tanaman Padi pada Kelompok Tani Rambahan Sakato, Desa Nyiur Melambai Pelangai menggunakan Metode Kuhn Tucker 使用库恩-塔克法优化 Nyiur Melambai Pelangai 村 Rambahan Sakato 农民小组的稻株施肥成本
Pub Date : 2023-08-18 DOI: 10.15575/kubik.v8i1.18261
Elfira - Safitri, Sri Basriati, M. Soleh, Rahmi Yulanda
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引用次数: 0
Penerapan Extreme Learning Machine Dalam Meramalkan Harga Minyak Sawit Mentah 极限学习机在原油棕榈油价格预测中的应用
Pub Date : 2023-06-05 DOI: 10.15575/kubik.v7i2.20460
Siti Aisyah, Nurissaidah Ulinnuha, Abdulloh Hamid
The need for crude palm oil has increased due to the large demand for vegetable oils in various parts of the world. Beginning in March 2022, the price of crude palm oil set a record high which caused international cooking oil prices to soar, especially for Indonesia. This study aims to predict the price of crude palm oil with test parameters, namely hidden neurons and activation functions. The method used is Extreme Learning Machine (ELM). This method is a development of the artificial neural network (ANN) method which can overcome weaknesses in the learning speed process. There are several stages in this study: (1) pre-processing the data by normalizing the data and dividing the data using the time series split method, (2) analyzing the data using the ELM method by testing parameters, namely hidden neurons and activation functions, (3) analyzing the results of the best parameter trials, (4) calculating forecasting data using the best parameters that have been obtained, and (5) analyzing the forecasting results that have been obtained. This study uses daily data on the price of crude palm oil from April 1 2021 to April 14 2022 obtained from the Investing website. The results of the research that has been carried out obtained MAPE and RMSE values of 0.0173 and 0.0308 with the best parameters namely the number of hidden neurons of 5 and the binary sigmoid activation function. Based on the results obtained, it is hoped that it will make it easier for the government to determine the price of crude palm oil in the future.
由于世界各地对植物油的大量需求,对粗棕榈油的需求有所增加。从2022年3月开始,粗棕榈油价格创下历史新高,导致国际食用油价格飙升,尤其是印尼。本研究的目的是通过测试参数,即隐藏神经元和激活函数来预测粗棕榈油的价格。采用极限学习机(ELM)方法。该方法是人工神经网络(ANN)方法的发展,可以克服学习速度过程中的缺点。本研究分为几个阶段:(1)对数据进行归一化预处理,采用时间序列分割法对数据进行分割;(2)采用ELM方法对数据进行分析,对参数进行测试,即隐藏神经元和激活函数;(3)对最佳参数试验结果进行分析;(4)对获得的最佳参数进行预测数据计算;本研究使用了从投资网站获得的2021年4月1日至2022年4月14日的毛棕榈油价格每日数据。已开展的研究结果得到MAPE和RMSE值分别为0.0173和0.0308,最佳参数为隐藏神经元数为5,二值s型激活函数。根据所获得的结果,希望这将使政府在未来更容易确定粗棕榈油的价格。
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引用次数: 0
Klusterisasi Penyandang Masalah Kesejahteraan Sosial (PMKS) Di Kabupaten Bojonegoro Menggunakan Algoritma K-Medoids
Pub Date : 2023-06-05 DOI: 10.15575/kubik.v7i2.21653
Elisa Syafaqoh, Nurissaidah Ulinnuha, Lutfia Hakim
Persons with Social Welfare Problems (PMKS) are individuals, community groups, or families who cannot adequately and properly meet their economic, physical, mental, and social needs, both spiritually and physically, because of an obstacle, difficulty, or disturbance. This study aimed to classify sub-districts in Bojonegoro Regency based on the level of social welfare problems using the K-Medoids Clustering (PAM) Analysis method. There are 2 clusters formed with an Average Silhouette of 0.73. Cluster 1 is a sub-district group with common social welfare problems
有社会福利问题的人(PMKS)是指由于障碍、困难或干扰而不能充分和适当地满足他们在精神上和身体上的经济、身体、精神和社会需要的个人、社区团体或家庭。本研究采用K-Medoids聚类(PAM)分析方法,基于社会福利问题水平对波戎内哥罗县各区进行分类。形成了2个簇,平均剪影为0.73。集群1是一个社会福利问题较为普遍的街道群体
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引用次数: 0
Perbandingan Metode Random Forest dan Naïve Bayes dalam Email Spam Filtering Perbandingan方法随机森林和Naïve贝叶斯dalam垃圾邮件过滤
Pub Date : 2023-06-05 DOI: 10.15575/kubik.v7i2.18933
Marianata Anita, B. Susanto, Lenox Larwuy
98%
98%
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引用次数: 0
Optimal Control of Vaccination for Dengue Fever in SIR Model SIR模型中登革热疫苗接种的最优控制
Pub Date : 2023-06-05 DOI: 10.15575/kubik.v7i2.21397
Nilwan Andiraja, Sri Basriati, Elfira Safitri, Rahmadeni Rahmadeni, A. Martino
According to data from The Indonesian ministry of health, many of individuals suffere dengue fever until may 2023 in Indonesia. To reduce its cases, in this article, a single of control strategy of vaccination for infected human by dengue fever has been proposed. To obtain the optimal control, the SIR model has been modificated with single control and the new objective function has been made before the Pontryagin minimum principle is used in this article. According to the differential equation in the model of the dengue fever and the objective function, we made the Hamiltonian equation. Then, from it, the state equation, costate equation, and stationary condition has been made from the Hamiltonian equation so we obtained the optimal control in vaccination. In the end of this article, we did the numerical simulation using the sweep forward-backward method. Through numerical simulation, we find that the control succeed to reduce the infected human by dengue fever and also increase human recovery from this desease. Futhermore, the control of vaccination for infected human should be implemented not only in this mathematical model but also into real life to decrease the dengue fever case. 
根据印度尼西亚卫生部的数据,印度尼西亚许多人在2023年5月之前患有登革热。为减少登革热病例,本文提出了登革热感染者接种登革热疫苗的单一控制策略。为了获得最优控制,本文在采用庞特里亚金最小原理之前,对SIR模型进行了单控制修正,并建立了新的目标函数。根据登革热模型中的微分方程和目标函数,建立了哈密顿方程。在此基础上,由哈密顿方程导出了状态方程、协态方程和平稳条件,从而得到了疫苗接种的最优控制。在本文的最后,我们使用正向向后扫描的方法进行了数值模拟。通过数值模拟,我们发现控制成功地减少了登革热的感染人数,也增加了人类从这种疾病的恢复。此外,对感染者的疫苗接种控制不仅要在数学模型中实施,而且要在实际生活中实施,以减少登革热病例。
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引用次数: 0
Model Relaksasi dan Osilasi Menggunakan Persamaan Diferensial Orde Fraksional Tipe Caputo 放松和振荡模型采用Caputo类型的部分差分方程
Pub Date : 2023-06-05 DOI: 10.15575/kubik.v7i2.17929
Wildy Ardan, Siti Fatimah, Karti Yulianti
The phenomenon of relaxation and oscillation is a common event that is often encountered. Both of these properties can occur in viscoelastic materials even though they do not occur simultaneously. Because the characteristics of viscoelastic materials are difficult to describe using classical-order differential equations, in this study, fractional-order differential equations were used to model each of the relaxation and oscillation phenomena in viscoelastic materials with the help of Laplace transform as a solution method . The solution obtained characterizes the phenomenon of memory effect as well as viscoelastic materials in general. In addition to this phenomenon, several other variables were also found to be the influence of the related material motion dynamics.
松弛和振荡现象是经常遇到的常见事件。这两种性质都可以发生在粘弹性材料中,即使它们不是同时发生。由于粘弹性材料的特性难以用经典阶微分方程来描述,本研究采用分数阶微分方程,借助拉普拉斯变换作为求解方法,对粘弹性材料中的每一种松弛和振荡现象进行建模。所得到的解具有记忆效应现象,也具有粘弹性材料的一般特征。除了这一现象外,还发现了其他几个变量是相关物质运动动力学的影响。
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引用次数: 0
Analisis Faktor-Faktor yang Mempengaruhi Risiko Gagal Bayar Debitur pada Lembaga Keuangan Mikro Menggunakan Regresi Logistik dan Ant Coloni Optimization (ACO) 分析影响小额金融机构债务人违约风险的因素
Pub Date : 2022-09-30 DOI: 10.15575/kubik.v7i1.13836
Ratih Hadiantini, Ayu Nike Retnowati
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引用次数: 0
Distribution Based Fuzzy Time Series Markov Chain Models for forecasting Inflation in Bandung 基于分布的模糊时间序列马尔可夫链模型预测万隆通货膨胀
Pub Date : 2022-09-30 DOI: 10.15575/kubik.v7i1.18156
Salsabila Ayu Pratiwi, Dewi Rachmatin, R. Marwati
This study discusses the application of the Fuzzy Time Series Markov Chain method which was developed by determining the length of the interval using the distribution method. In the fuzzy forecasting method, the determination of the length of the interval is an important thing that will affect the accuracy of the forecasting results. The development of this forecasting model aims to get better forecasting accuracy results. In this study, general inflation data for the city of Bandung is used for the period January 2016 – June 2021. The data is divided into two groups, namely in sample data and out sample data with a ratio of 90: 10. In the data processing process, the Python programming language is used. Based on the accuracy test using the MAPE method, it can be concluded that this method provides better forecasting results with a MAPE value of 1.16%.
本文讨论了模糊时间序列马尔可夫链方法的应用,该方法是用分布法确定区间长度而发展起来的。在模糊预测方法中,区间长度的确定是影响预测结果准确性的一个重要问题。该预测模型的开发旨在获得更好的预测精度结果。本研究使用的是2016年1月至2021年6月期间万隆市的一般通胀数据。数据分为两组,即样本内数据和样本外数据,比例为90:10。在数据处理过程中,使用Python编程语言。通过MAPE方法的精度检验,得出MAPE值为1.16%时,该方法的预测效果较好。
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引用次数: 0
Algoritma Super Enkripsi (Affine Cipher dan Cipher Transposisi Grup Simetri) untuk Mengamankan Pesan Teks
Pub Date : 2022-09-30 DOI: 10.15575/kubik.v7i1.17419
Ilfi Nur Diana
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引用次数: 0
On The Edge Irregularity Strength of Firecracker Graphs F2,m 炮竹图边缘不规则强度的研究[j], [m]
Pub Date : 2022-09-30 DOI: 10.15575/kubik.v7i1.18430
R. Ramdani, Desi Laswati Suwandi
Let  be a graph and k be a positive integer. A vertex k-labeling  is called an edge irregular labeling if there are no two edges with the same weight, where the weight of an edge uv is . The edge irregularity strength of G, denoted by es(G), is the minimum k such that  has an edge irregular k-labeling. This labeling was introduced by Ahmad, Al-Mushayt, and Bacˇa in 2014.  An (n,k)-firecracker is a graph obtained by the concatenation of n k-stars by linking one leaf from each. In this paper, we determine the edge irregularity strength of fireworks graphs F2,m.
设为图,k为正整数。顶点k标记被称为边缘不规则标记,如果没有相同权值的两条边,其中一条边的权值为uv。G的边缘不规则强度用es(G)表示,是使边缘不规则k标记的最小k。这种标签是由Ahmad, Al-Mushayt和Bac - a在2014年引入的。(n,k)鞭炮是通过连接每个节点的一个叶子,将n个k星连接起来而得到的图。本文确定了烟花图F2,m的边缘不规则强度。
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Kubik: Jurnal Publikasi Ilmiah Matematika
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