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K-Nearest Neighbor for Recognize Handwritten Arabic Character 识别手写阿拉伯字符的k近邻算法
Mantik Jurnal Matematika Pub Date : 2019-10-27 DOI: 10.15642/mantik.2019.5.2.83-89
Muhammad Athoillah
{"title":"K-Nearest Neighbor for Recognize Handwritten Arabic Character","authors":"Muhammad Athoillah","doi":"10.15642/mantik.2019.5.2.83-89","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.2.83-89","url":null,"abstract":"Handwritten text recognition is the ability of a system to recognize human handwritten and convert it into digital text. Handwritten text recognition is a form of classification problem, so a classification algorithm such as Nearest Neighbor (NN) is needed to solve it. NN algorithms is a simple algorithm yet provide a good result. In contrast with other algorithms that usually determined by some hypothesis class, NN Algorithm finds out a label on any test point without searching for a predictor within some predefined class of functions. Arabic is one of the most important languages in the world. Recognizing Arabic character is very interesting research, not only it is a primary language that used in Islam but also because the number of this research is still far behind the number of recognizing handwritten Latin or Chinese research. Due to that's the background, this framework built a system to recognize handwritten Arabic Character from an image dataset using the NN algorithm. The result showed that the proposed method could recognize the characters very well confirmed by its average of precision, recall and accuracy.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78187466","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: 0
An Application of Hybrid Forecasting Singular Spectrum Analysis – Extreme Learning Machine Method in Foreign Tourists Forecasting 混合预测奇异谱分析-极限学习机方法在国外游客预测中的应用
Mantik Jurnal Matematika Pub Date : 2019-10-27 DOI: 10.15642/mantik.2019.5.2.60-68
M. Fajar
{"title":"An Application of Hybrid Forecasting Singular Spectrum Analysis – Extreme Learning Machine Method in Foreign Tourists Forecasting","authors":"M. Fajar","doi":"10.15642/mantik.2019.5.2.60-68","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.2.60-68","url":null,"abstract":"International tourism is one indicator of measuring tourism development. Tourism development is important for the national economy since tourism could boost foreign exchange, create business opportunities, and provide employment opportunities. The prediction of foreign tourist numbers in the future obtained from forecasting is used as an input parameter for strategy and tourism programs planning. In this paper, the Hybrid Singular Spectrum Analysis – Extreme Learning Machine (SSA-ELM) is used to forecast the number of foreign tourists.  Data used is the number of foreign tourists January 1980 - December 2017 taken from Badan Pusat Statistik (Statistics Indonesia). The result of this research concludes that Hybrid SSA-ELM performance is very good at forecasting the number of foreign tourists. It is shown by the MAPE value of 4.91 percent with eight observations out a sample.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88108016","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: 3
Comparison of Kernel Function on Support Vector Machine in Classification of Childbirth 支持向量机核函数在分娩分类中的比较
Mantik Jurnal Matematika Pub Date : 2019-10-27 DOI: 10.15642/mantik.2019.5.2.90-99
Putroue Keumala Intan
{"title":"Comparison of Kernel Function on Support Vector Machine in Classification of Childbirth","authors":"Putroue Keumala Intan","doi":"10.15642/mantik.2019.5.2.90-99","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.2.90-99","url":null,"abstract":"The maternal mortality rate during childbirth can be reduced through the efforts of the medical team in determining the childbirth process that must be undertaken immediately. Machine learning in terms of classifying childbirth can be a solution for the medical team in determining the childbirth process. One of the classification methods that can be used is the Support Vector Machine (SVM) method which is able to determine a hyperplane that will form a good decision boundary so that it is able to classify data appropriately. In SVM, there is a kernel function that is useful for solving non-linear classification cases by transforming data to a higher dimension. In this study, four kernel functions will be used; Linear, Radial Basis Function (RBF), Polynomial, and Sigmoid in the classification process of childbirth in order to determine the kernel function that is capable of producing the highest accuracy value. Based on research that has been done, it is obtained that the accuracy value generated by SVM with linear kernel functions is higher than the other kernel functions.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85504826","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: 8
Ordinal Logistic Regression Analysis of Factors Affecting the Length of Student Study 学生学习时间影响因素的有序Logistic回归分析
Mantik Jurnal Matematika Pub Date : 2019-05-31 DOI: 10.15642/MANTIK.2019.5.1.28-34
B. R. A. Febrilia, S. Rahayu, Baiq Dewi Korida
{"title":"Ordinal Logistic Regression Analysis of Factors Affecting the Length of Student Study","authors":"B. R. A. Febrilia, S. Rahayu, Baiq Dewi Korida","doi":"10.15642/MANTIK.2019.5.1.28-34","DOIUrl":"https://doi.org/10.15642/MANTIK.2019.5.1.28-34","url":null,"abstract":"The length of time a student completes the study period is a measure of the student's achievement and the success of his study program. Because the duration of the study period is quite influential on the quality of a study program and the learning process in it, it is necessary to do a more in-depth study of the factors that influence the duration of student studies. This study aims to model the factors that influence the length of the study period of students using ordinal logistic regression. These factors are the student's GPA and gender. Data on the length of study, GPA and gender were taken for students of the Mathematics Education Department, IKIP Mataram, who graduated in 2017 and 2018. The results of the study showed that the two factors had a significant effect on the length of the study period.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81082254","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: 4
Bootstrap Logistic Regression on Determining Factors Affecting the Level of Entrepreneurial Capability 创业能力水平影响因素的自举Logistic回归
Mantik Jurnal Matematika Pub Date : 2019-05-31 DOI: 10.15642/mantik.2019.5.1.10-18
M. Ridho, D. Devianto
{"title":"Bootstrap Logistic Regression on Determining Factors Affecting the Level of Entrepreneurial Capability","authors":"M. Ridho, D. Devianto","doi":"10.15642/mantik.2019.5.1.10-18","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.1.10-18","url":null,"abstract":"The purpose of this study is to determine the factors that affect the level of entrepreneurial capability in tourism of rural area in Nagari Salayo of West Sumatra. The level of entrepreneurial capability is the response variable in this study with an ordinal scale consisting of four categories, they are lower, middle, high, or very high. Whereas the predictor variables consist of 4 socio-demographic factor variables, they are gender, education level, age group and occupation, and also 5 entrepreneurial motivation variables. To determine the predictor variables that are significantly affecting response variables, an ordinal logistic regression with a bootstrap estimation is executed. The study’s result shows two predictor variables that affect the response variable significantly, they are the entrepreneurial motive and social motive with the hit ratio of 61,667%. With that result, the model formed by bootstrapping logistic regression is able to determine the level of entrepreneurial capability in tourism of the rural area.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82482472","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: 0
Multi Unit Spares Inventory Control-Three Dimensional (MUSIC 3D) Approach to Inventory Management 多单元备件库存控制——库存管理的三维方法
Mantik Jurnal Matematika Pub Date : 2019-05-31 DOI: 10.15642/MANTIK.2019.5.1.19-27
Z. Ni'mah, Yuniar Farida
{"title":"Multi Unit Spares Inventory Control-Three Dimensional (MUSIC 3D) Approach to Inventory Management","authors":"Z. Ni'mah, Yuniar Farida","doi":"10.15642/MANTIK.2019.5.1.19-27","DOIUrl":"https://doi.org/10.15642/MANTIK.2019.5.1.19-27","url":null,"abstract":"Inventory control is a series of efforts that need to be done for each company to generate the maximum profit from existing inventory. In this study inventory control was conducted through the Multi-Unit Spares Inventory Control – Three Dimensional (MUSIC 3D) approach at PT Fajar Mas Murni Surabaya using three analysis, namely ABC analysis, SDE analysis, and FSN analysis. The result of ABC analysis show that category A consists of 6 items (3%) which contribute 81% to company income, category B consists of 16 items (8%) which contributes 15% to company income, while category C consists of 190 items (89%) which contribute 4% to company income. The result of SDE analysis shows that category S consists of 127 items (60% of all items), category D consists of 43 items (20% of all items), while category E consist of 42 items (20% of all items). The result of FSN analysis show that category F consists of 15% (7% of all items), category S consists of 41 items (19% of all items) and category N consists of 156 items (74% of all items).","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81348637","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
A Note On The Partition Dimension of Thorn of Fan Graph 关于扇形图刺的划分维数的一个注记
Mantik Jurnal Matematika Pub Date : 2019-05-31 DOI: 10.15642/mantik.2019.5.1.45-49
Auli Mardhaningsih
{"title":"A Note On The Partition Dimension of Thorn of Fan Graph","authors":"Auli Mardhaningsih","doi":"10.15642/mantik.2019.5.1.45-49","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.1.45-49","url":null,"abstract":"Let be a connected graph and. For a vertex and an ordered k-partition of, the presentation of concerning is the k-vector, where denotes the distance between and for. The k-partition is said to be resolving if for every two vertices, the representation. The minimum k for which there is a resolving k-partition of is called the partition dimension of, denoted by. Let be a non-negative integer, for. The thorn of, with parameters is obtained by attaching vertices of degree one to the vertex, denoted by. In this paper, we determine the partition dimension of where, the fan on n+1 vertices, for.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82808852","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
Classification of EEG Signals using Fast Fourier Transform (FFT) and Adaptive Neuro Fuzzy Inference System (ANFIS) 基于快速傅里叶变换和自适应神经模糊推理系统的脑电信号分类
Mantik Jurnal Matematika Pub Date : 2019-05-31 DOI: 10.15642/MANTIK.2019.5.1.35-44
S. Suwanto, M. H. Bisri, D. C. R. Novitasari, Ahmad Hanif Asyhar
{"title":"Classification of EEG Signals using Fast Fourier Transform (FFT) and Adaptive Neuro Fuzzy Inference System (ANFIS)","authors":"S. Suwanto, M. H. Bisri, D. C. R. Novitasari, Ahmad Hanif Asyhar","doi":"10.15642/MANTIK.2019.5.1.35-44","DOIUrl":"https://doi.org/10.15642/MANTIK.2019.5.1.35-44","url":null,"abstract":"Epilepsy is a disease that attacks the brain and results in seizures due to neurological disorders. The electrical activity of the brain recorded by the EEG signal test, because EEG test can be used to diagnose brain and mental diseases such as epilepsy. This study aims to identify whether a person has epilepsy or not along with the result of accurate, sensitivity, and precision rate using Fast Fourier Transform (FFT) and Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The FFT is used to transform EEG signals from time-based into frequency-based and continued with feature extraction to take characteristics from each filtering signal using the median, mean, and standard deviations of each EEG signal. The results of the feature extraction used for input on the category process based on characteristics data (classification) using ANFIS. EEG signal data is obtained from epilepsy center online database of Bonn University, German. The results of the EEG signal classification system using ANFIS with two classes (Normal-Epilepsy) states accuracy, sensitivity, and precision of 100%. The classification systems with three class division (Normal-Not Seizure Epilepsy-Epilepsy) resulted in an accuracy of 89.33% sensitivity of 89.37% and precision of 89.33%.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"2014 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86832296","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: 10
The Estimation of Production Function and Technical Efficiency Shallot Farming 大葱养殖的生产函数与技术效率估算
Mantik Jurnal Matematika Pub Date : 2019-05-31 DOI: 10.15642/mantik.2019.5.1.50-59
M. Fajar, Oktya Putri Gitaningtyas, Muhammad Muhtoni, Purwaning Dhahari
{"title":"The Estimation of Production Function and Technical Efficiency Shallot Farming","authors":"M. Fajar, Oktya Putri Gitaningtyas, Muhammad Muhtoni, Purwaning Dhahari","doi":"10.15642/mantik.2019.5.1.50-59","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.1.50-59","url":null,"abstract":"Shallot is one of the potential horticultural commodities. The purpose of this study is to estimate the production function and efficiency of shallot farming. The method used in the study is the estimation of production functions using stochastic frontier. The data used in this study were shallot production (kg), harvested area (m2), labor used (HOK), use of seeds (kg), fertilizer (kg), pesticides used (kg), sourced from SHR2014 which conducted by the Central Statistics Agency. In the estimation process, all variables are transformed by natural logarithms. The results showed that the estimation of the function of shallot production for both the dry season and the wet season with independent variables included harvested area, labor, seeds, fertilizers, and significant pesticides in the model, so that formed model was valid for further use. The average technical efficiency of shallot farming in the dry and wet season is 0.6626 and 0.6627, respectively, which means that in general, shallot farming in Indonesia is not efficient on the technical side. That is, there are indications that the optimal processing technology of production inputs in the business has not been carried out optimally.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81274893","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
Mining Non-Zero-Rare Sequential Patterns On Activity Recognition 活动识别中的非零稀有序列模式挖掘
Mantik Jurnal Matematika Pub Date : 2019-05-30 DOI: 10.15642/mantik.2019.5.1.1-9
Mohammad Iqbal, Chandrawati Putri Wulandari, Wawan Yunanto, Ghaluh Indah Permata Sari
{"title":"Mining Non-Zero-Rare Sequential Patterns On Activity Recognition","authors":"Mohammad Iqbal, Chandrawati Putri Wulandari, Wawan Yunanto, Ghaluh Indah Permata Sari","doi":"10.15642/mantik.2019.5.1.1-9","DOIUrl":"https://doi.org/10.15642/mantik.2019.5.1.1-9","url":null,"abstract":"Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered motion sensor sequences to obtain non-zero-rare human activity patterns—the patterns which most occur in the motion sensor sequences and the occurrence numbers are less than the pre-defined occurrence threshold. This study proposes an algorithm to mine non-zero-rare pattern on human activity recognition called Mining Multi-class Non-Zero-Rare Sequential Patterns (MMRSP).  The experimental result showed that non-zero-rare human activity patterns succeed to capture the unusual activity. Furthermore, the MMRSP performed well according to the precision value of rare activities.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"163 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78714179","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: 3
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