N. Qomariyah, R. Wirawan, Nike Anggarani, L. Mardiana, Kasnawi Alhadi
Agarwood Grynops Vertegii (Gilg.) Domke is a type of agarwood that is widely cultivated in the NTB area. The economic value of Agarwood is directly proportional to its quality. Color is one of the physical parameters to determine the quality of agarwood. The purpose of this study is to classify Grynops Vertegii (Gilg.) Agarwood based on the distribution of gray scale level using image processing. The method used is image processing based on gray scale level, Agarwood is divided into four classes based on the dominant color, in this study all samples divided into four classes: A, B, C, and D. Image in RGB converted in to gray scale images then processed in histogram to determine the distribution of the degree of gray scale and its intensity. From the results of image processing it can be seen that there is a shift in the peak position, the difference in the gray scale value, and the curve width. Gray scale values in each class A, B, C, and D respectively are 26,35, 62 and 121 with intensity value at peak positions respectively are 43300, 42400, 30350, 31750. Small gray scale values indicated that agarwood has a high black density and vice versa, while the peak position shows the dominant gray scale value in each class.
{"title":"Karakteristik Gaharu Grynops Vertegii (Gilg.) Domke Berdasarkan Analisis Sebaran Gray scale Level","authors":"N. Qomariyah, R. Wirawan, Nike Anggarani, L. Mardiana, Kasnawi Alhadi","doi":"10.29303/EMJ.V1I1.27","DOIUrl":"https://doi.org/10.29303/EMJ.V1I1.27","url":null,"abstract":"Agarwood Grynops Vertegii (Gilg.) Domke is a type of agarwood that is widely cultivated in the NTB area. The economic value of Agarwood is directly proportional to its quality. Color is one of the physical parameters to determine the quality of agarwood. The purpose of this study is to classify Grynops Vertegii (Gilg.) Agarwood based on the distribution of gray scale level using image processing. The method used is image processing based on gray scale level, Agarwood is divided into four classes based on the dominant color, in this study all samples divided into four classes: A, B, C, and D. Image in RGB converted in to gray scale images then processed in histogram to determine the distribution of the degree of gray scale and its intensity. From the results of image processing it can be seen that there is a shift in the peak position, the difference in the gray scale value, and the curve width. Gray scale values in each class A, B, C, and D respectively are 26,35, 62 and 121 with intensity value at peak positions respectively are 43300, 42400, 30350, 31750. Small gray scale values indicated that agarwood has a high black density and vice versa, while the peak position shows the dominant gray scale value in each class.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447821","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}
I. Jaya, Ahmad Akram, Moh Roid Fathani, Nurul Hikmah, Siti Adniati
Colouring point is one of the topics in Theory Graph, which is about colouring all the points on a graph so that the are no two neighbouring points have the same colour. One of the applications is in the traffic light system, which can helps in improving the effectiveness of traffic lights to prevent and overcome congestion problems. The main purpose of colouring point is to use minimum different colours to colour all the points on a graph. The minimum number of colours used is called Chromatic number. The fewer colours used, the more effective the solution. The number of colours in traffic light system shows the number of conditions to manage the traffic lights. There are many different algorithms of colouring points; three of them are LDO, SDO and IDO algorithm. In this paper, we will apply and compare these three algorithms to the graph of traffic lights in crossing five Kota Tua Ampenan. We choose this crossroads because this is one of the crowded crossroads in Mataram city, especially in the morning, working hours and evenings. Based on our research, for this case LDO and IDO algorithm are more effective than SDO algorithm.
{"title":"Perbandingan Algoritma Pewarnaan LDO, SDO, dan IDO pada Graf Pengaturan Lampu Lalu Lintas di Persimpangan Lima Kota Tua Ampenan","authors":"I. Jaya, Ahmad Akram, Moh Roid Fathani, Nurul Hikmah, Siti Adniati","doi":"10.29303/EMJ.V1I1.23","DOIUrl":"https://doi.org/10.29303/EMJ.V1I1.23","url":null,"abstract":"Colouring point is one of the topics in Theory Graph, which is about colouring all the points on a graph so that the are no two neighbouring points have the same colour. One of the applications is in the traffic light system, which can helps in improving the effectiveness of traffic lights to prevent and overcome congestion problems. The main purpose of colouring point is to use minimum different colours to colour all the points on a graph. The minimum number of colours used is called Chromatic number. The fewer colours used, the more effective the solution. The number of colours in traffic light system shows the number of conditions to manage the traffic lights. There are many different algorithms of colouring points; three of them are LDO, SDO and IDO algorithm. In this paper, we will apply and compare these three algorithms to the graph of traffic lights in crossing five Kota Tua Ampenan. We choose this crossroads because this is one of the crowded crossroads in Mataram city, especially in the morning, working hours and evenings. Based on our research, for this case LDO and IDO algorithm are more effective than SDO algorithm.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176524","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 was conducted with the aim of determining the semiparametric spline regression model in the analysis of factors that influence rice production in East Lombok District in 2014 and finding out what factors influence the rice production results. The method used was semiparametric spline regression, with the selection of the optimum knot points using Generalized Cross Validation. The results obtained indicate that the variable that significantly affects rice production was the height of the area above sea level, with the determination coefficient value of 99.71% and the RMSEP value of 41.65.
{"title":"Model Regresi Semiparametrik Spline Hasil Produksi Padi di Kabupaten Lombok Timur","authors":"Bidayani Bidayani, Mustika Hadijati, Nurul Fitriyani","doi":"10.29303/EMJ.V1I1.31","DOIUrl":"https://doi.org/10.29303/EMJ.V1I1.31","url":null,"abstract":"This study was conducted with the aim of determining the semiparametric spline regression model in the analysis of factors that influence rice production in East Lombok District in 2014 and finding out what factors influence the rice production results. The method used was semiparametric spline regression, with the selection of the optimum knot points using Generalized Cross Validation. The results obtained indicate that the variable that significantly affects rice production was the height of the area above sea level, with the determination coefficient value of 99.71% and the RMSEP value of 41.65.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"29 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126097477","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}
{"title":"Perbandingan Model Laju Pertumbuhan Domestik Regional Bruto Provinsi Nusa Tenggara Barat Menggunakan Regresi Komponen Utama","authors":"Muhammad Rijal Alfian, Abdurahman Salim","doi":"10.29303/EMJ.V1I1.32","DOIUrl":"https://doi.org/10.29303/EMJ.V1I1.32","url":null,"abstract":"","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133772571","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}
Fariz Maulana, Gede Adhitya Wisnu Wardhana, N. W. Switrayni
Kriptografi adalah salah satu cabang ilmu matematika yang banyak digunakan pada sistem keamanan digital. Kriptografi itu sendiri berkaitan dengan bilangan bulat dan sifat-sifatnya, terutama bilangan prima. Lebih spesifik, beberapa algoritma penting seperti RSA, sangat bergantung pada faktorisasi prima dari bilangan bulat. Abstraksi bilangan prima diperkenalkan oleh Dedekind pada tahun 1871, dikenal dengan nama ideal prima. Ideal prima diperumum oleh Bhatwadekar pada tahun 2009 dan dinamakan ideal hampir prima. Paper ini akan membuktikan bahwa ideal hampir prima dan ideal prima di bilangan bulat Gasuss adalah ekivalen
{"title":"Ekivalensi Ideal Hampir Prima dan Ideal Prima pada Bilangan Bulat Gauss","authors":"Fariz Maulana, Gede Adhitya Wisnu Wardhana, N. W. Switrayni","doi":"10.29303/EMJ.V1I1.29","DOIUrl":"https://doi.org/10.29303/EMJ.V1I1.29","url":null,"abstract":"Kriptografi adalah salah satu cabang ilmu matematika yang banyak digunakan pada sistem keamanan digital. Kriptografi itu sendiri berkaitan dengan bilangan bulat dan sifat-sifatnya, terutama bilangan prima. Lebih spesifik, beberapa algoritma penting seperti RSA, sangat bergantung pada faktorisasi prima dari bilangan bulat. Abstraksi bilangan prima diperkenalkan oleh Dedekind pada tahun 1871, dikenal dengan nama ideal prima. Ideal prima diperumum oleh Bhatwadekar pada tahun 2009 dan dinamakan ideal hampir prima. Paper ini akan membuktikan bahwa ideal hampir prima dan ideal prima di bilangan bulat Gasuss adalah ekivalen","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128554492","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}
Measles is an acute disease highly contagious, caused the measles. This disease is transmitted through droplet or direct contact to the patient. Besides causing various complications, this disease can also cause death. The purpose of this research was we formulated a model the dynamics of the spread of diseases by the influence of a measles vaccination, that are used to know the influence of vaccination to the spread of diseases measles in the province of NTB. The dynamics model of the spread of diseases by the influence of a measles vaccination, Based on a implementation model in NTB Province we get bigger the scope of vaccination done in the NTB so the less individuals are susceptible when stability and measles disease faster disappearance.
{"title":"Model Dinamika Penyebaran Penyakit Campak Dengan Pengaruh Vaksinasi Dan Penerapannya Di Provinsi Nusa Tenggara Barat","authors":"M. Mutmainnah, Lailia Awalushaumi, Qurratul Aini","doi":"10.29303/EMJ.V1I1.34","DOIUrl":"https://doi.org/10.29303/EMJ.V1I1.34","url":null,"abstract":"Measles is an acute disease highly contagious, caused the measles. This disease is transmitted through droplet or direct contact to the patient. Besides causing various complications, this disease can also cause death. The purpose of this research was we formulated a model the dynamics of the spread of diseases by the influence of a measles vaccination, that are used to know the influence of vaccination to the spread of diseases measles in the province of NTB. The dynamics model of the spread of diseases by the influence of a measles vaccination, \u0000Based on a implementation model in NTB Province we get bigger the scope of vaccination done in the NTB so the less individuals are susceptible when stability and measles disease faster disappearance.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121397927","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}
Penjadwalan penerbangan merupakan salah satu permasalahan yang sangat penting dilakukan agar konsumen mendapatkan pelayanan yang maksimal. Pada umumnya, penjadwalan dilakukan dengan cara manual. Cara ini memiliki keakuratan yang kurang baik dan dapat memberikan peluang terjadinya tabrakan jadwal. Tujuan dari penelitian ini adalah menyusun jadwal yang optimal untuk penerbangan pesawat di Bandara Intenasional Lombok. Metode yang digunakan adalah metode algoritma genetika. Algoritma genetika memungkinkan dapat menyelesaikan masalah yang kompleks dengan membangkitkan sejumlah individu yang dihitung nilai fitness -nya, dan memanfaatkan proses evolusi yang terdiri dari proses seleksi, crossover , dan mutasi. Berdasarkan hasil analisis yang telah dilakukan, hasil dari penjadwalan penerbangan terbaik didapatkan dari individu terbaik dengan nilai parameter-parameter ukuran populasi sebesar 10, jumlah generasi sebesar 10, dan peluang mutasi sebesar 0,01 dengan nilai fitness tertinggi yaitu 1. Individu terbaik ini menepati slot waktu berisikan 108 slot dengan estimasi waktu 10 menit setiap slotnya. Slot-slot tersebut menentukan waktu take off dan landing sebuah pesawat
{"title":"Penggunaan Algoritma Genetika Untuk Penjadwalan Penerbangan di Bandara Internasional Lombok","authors":"R. Mardiyah, Mamika Ujianita Romdhini, Irwansyah","doi":"10.29303/emj.v2i2.13","DOIUrl":"https://doi.org/10.29303/emj.v2i2.13","url":null,"abstract":"Penjadwalan penerbangan merupakan salah satu permasalahan yang sangat penting dilakukan agar konsumen mendapatkan pelayanan yang maksimal. Pada umumnya, penjadwalan dilakukan dengan cara manual. Cara ini memiliki keakuratan yang kurang baik dan dapat memberikan peluang terjadinya tabrakan jadwal. Tujuan dari penelitian ini adalah menyusun jadwal yang optimal untuk penerbangan pesawat di Bandara Intenasional Lombok. Metode yang digunakan adalah metode algoritma genetika. Algoritma genetika memungkinkan dapat menyelesaikan masalah yang kompleks dengan membangkitkan sejumlah individu yang dihitung nilai fitness -nya, dan memanfaatkan proses evolusi yang terdiri dari proses seleksi, crossover , dan mutasi. Berdasarkan hasil analisis yang telah dilakukan, hasil dari penjadwalan penerbangan terbaik didapatkan dari individu terbaik dengan nilai parameter-parameter ukuran populasi sebesar 10, jumlah generasi sebesar 10, dan peluang mutasi sebesar 0,01 dengan nilai fitness tertinggi yaitu 1. Individu terbaik ini menepati slot waktu berisikan 108 slot dengan estimasi waktu 10 menit setiap slotnya. Slot-slot tersebut menentukan waktu take off dan landing sebuah pesawat","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122931443","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}
Mustika Hadijati, D. Komalasari, Irwansyah Irwansyah
The prediction of river water discharge can be determined by developing a river water discharge model based on climate information, especially rainfall information. This research aims to obtain a simulation of rainfall data that will be used to river water discharge modeling. The simulation of rainfall data is obtained using statistical downscaling model which develop the functional model between global climate data and local climate data. Daily precipitation of General Circulation Model (GCM) is used to be predictor variables. It is global climate data.. And, daily rainfall of Jangkok watershed, the local climate data, is used to be response variable.. In order to reduce the dimension of GCM global data, GCM data is projected to a litle number of variable using classification and regression tree (CART) method. Then, the projection variables are used to develop statistical downscaling model of rainfall based on Kernel nonparametric regression. Daily rainfall data of Jurang Malang station, Jangkok watershed, is simulated based on the model obtained .
建立基于气候信息特别是降雨信息的河流流量模型，可以实现对河流流量的预测。本研究的目的是获得一个模拟降雨的数据，将用于河流排水模型。采用统计降尺度模型对降水资料进行模拟，建立了全球气候资料与局地气候资料的功能模型。以全球环流模式(GCM)的日降水量作为预测变量。这是全球气候数据…并以当地气候资料——江角流域日降雨量作为响应变量。为了降低GCM全局数据的维数，采用分类回归树(classification and regression tree, CART)方法将GCM数据投影到少量变量中。然后，利用投影变量建立了基于核非参数回归的降雨统计降尺度模型。利用该模型对江角流域Jurang - Malang站的日降水数据进行了模拟。
{"title":"Model Statistical Downscaling Nonparametrik pada Simulasi Data Curah Hujan Harian Pos Jurang Malang Daerah Aliran Sungai Jangkok","authors":"Mustika Hadijati, D. Komalasari, Irwansyah Irwansyah","doi":"10.29303/EMJ.V2I2.12","DOIUrl":"https://doi.org/10.29303/EMJ.V2I2.12","url":null,"abstract":"The prediction of river water discharge can be determined by developing a river water discharge model based on climate information, especially rainfall information. This research aims to obtain a simulation of rainfall data that will be used to river water discharge modeling. The simulation of rainfall data is obtained using statistical downscaling model which develop the functional model between global climate data and local climate data. Daily precipitation of General Circulation Model (GCM) is used to be predictor variables. It is global climate data.. And, daily rainfall of Jangkok watershed, the local climate data, is used to be response variable.. In order to reduce the dimension of GCM global data, GCM data is projected to a litle number of variable using classification and regression tree (CART) method. Then, the projection variables are used to develop statistical downscaling model of rainfall based on Kernel nonparametric regression. Daily rainfall data of Jurang Malang station, Jangkok watershed, is simulated based on the model obtained .","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127044005","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}
Research using Hierarchical Bayes (HB) applied to Small Area Estimation (SAE) was conducted with the aim to estimate the proportion of halal tourism destination in West Lombok Regency. The development of halal taourism object in West Lombok that has been done by the Departement of Culture and Tourism, has not been fully able to do direct estimation on a small area, such as at the sub-district level. One way of obtaining estimation data up to the sub-district level is by increasing the sample size. However, increasing the sample size will cost time and money. Therefore, SAE method can be used to solve the poblem of data optimization. Furthermore, the HB method is used in the process of finding the expected alleged value. The prediction process was performed using Markov Chain Monte Carlo (MCMC) by applying the conditional Gibbs Algorithm of Metropolis-Hasting. Indirect modeling using HB method on SAE is based on the Fay-Herriot model for the area level with the help of supporting variables. The estimation results were then compared with the direct estimates with the value of the variance statistic as a benchmark. The results showed that the estimation using HB gave in a smaller average of variance value score of 0.021, compared with direct estimates with an average of variance value of 0.042. This showed that indirect estimation using HB method gave better result than using direct estimation method.
将层次贝叶斯(HB)应用于小区域估计(SAE)进行了研究，目的是估计西龙目岛清真旅游目的地的比例。西龙目岛清真旅游对象的开发已经由文化和旅游部完成，尚未完全能够在小范围内进行直接评估，例如在街道一级。获得街道一级估计数据的一种方法是增加样本量。然而，增加样本量将花费时间和金钱。因此，可以使用SAE方法来解决数据优化问题。此外，在寻找期望声称值的过程中使用了HB方法。采用Metropolis-Hasting的条件Gibbs算法，利用Markov Chain Monte Carlo (MCMC)进行预测。基于SAE的HB方法间接建模是基于区域级的Fay-Herriot模型，并借助于支持变量。然后将估计结果与以方差统计量为基准的直接估计进行比较。结果表明，与直接估计的平均方差值为0.042相比，HB估计的方差值平均值为0.021。这表明用HB法间接估计比直接估计效果更好。
{"title":"Small Area Estimation dengan Metode Hierarchical Bayes pada Proporsi Destinasi Objek Wisata Halal Kabupaten Lombok Barat","authors":"Husnul Arini, D. Komalasari, Nurul Fitriyani","doi":"10.29303/EMJ.V2I2.19","DOIUrl":"https://doi.org/10.29303/EMJ.V2I2.19","url":null,"abstract":"Research using Hierarchical Bayes (HB) applied to Small Area Estimation (SAE) was conducted with the aim to estimate the proportion of halal tourism destination in West Lombok Regency. The development of halal taourism object in West Lombok that has been done by the Departement of Culture and Tourism, has not been fully able to do direct estimation on a small area, such as at the sub-district level. One way of obtaining estimation data up to the sub-district level is by increasing the sample size. However, increasing the sample size will cost time and money. Therefore, SAE method can be used to solve the poblem of data optimization. Furthermore, the HB method is used in the process of finding the expected alleged value. The prediction process was performed using Markov Chain Monte Carlo (MCMC) by applying the conditional Gibbs Algorithm of Metropolis-Hasting. Indirect modeling using HB method on SAE is based on the Fay-Herriot model for the area level with the help of supporting variables. The estimation results were then compared with the direct estimates with the value of the variance statistic as a benchmark. The results showed that the estimation using HB gave in a smaller average of variance value score of 0.021, compared with direct estimates with an average of variance value of 0.042. This showed that indirect estimation using HB method gave better result than using direct estimation method.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131326970","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}
Prediksi curah hujan bulanan dengan menggunakan prediktor suhu udara dan kelembapan udara telah dilakukan. Data diperoleh dari Stasiun Meteorologi Temindung Samarinda. Evaluasi dilakukan dengan membandingkan dan menghitung besarnya penyimpangan prediksi curah hujan bulanan terhadap hujan hasil observasi. Data yang digunakan adalah data harian yang dijumlahkan dan diratakan pada setiap bulannya. Untuk menganalisa digunakan data dari tahun 2005 sampai 2015 sedangkan data tahun 2016 untuk membandingkan hasil prediksi terhadap observasi. Prediksi curah hujan bulanan menggunakan metode regresi linier berganda. Hasil pengolahan data menunjukkan bahwa secara umum prediksi curah hujan bulanan tahun 2016 di kota Samarinda mengalami under estimate (lebih kecil dari nilai aktualnya) dan hasil prediksi yang paling baik terjadi pada bulan Oktober. Prediksi curah hujan bulanan dengan prediktor suhu dan kelembapan udara menghasilkan nilai koefisien korelasi sangat kuat dan RMSE yang baik yaitu r = 0.93 dan RMSE = 46,26%.
{"title":"Prediksi Curah Hujan Bulanan Di Kota Samarinda Menggunakan Persamaan Regresi Dengan Prediktor Data Suhu dan Kelembapan Udara","authors":"Satriyogi Putramulyo, Siti Alaa","doi":"10.29303/EMJ.V2I2.20","DOIUrl":"https://doi.org/10.29303/EMJ.V2I2.20","url":null,"abstract":"Prediksi curah hujan bulanan dengan menggunakan prediktor suhu udara dan kelembapan udara telah dilakukan. Data diperoleh dari Stasiun Meteorologi Temindung Samarinda. Evaluasi dilakukan dengan membandingkan dan menghitung besarnya penyimpangan prediksi curah hujan bulanan terhadap hujan hasil observasi. Data yang digunakan adalah data harian yang dijumlahkan dan diratakan pada setiap bulannya. Untuk menganalisa digunakan data dari tahun 2005 sampai 2015 sedangkan data tahun 2016 untuk membandingkan hasil prediksi terhadap observasi. Prediksi curah hujan bulanan menggunakan metode regresi linier berganda. Hasil pengolahan data menunjukkan bahwa secara umum prediksi curah hujan bulanan tahun 2016 di kota Samarinda mengalami under estimate (lebih kecil dari nilai aktualnya) dan hasil prediksi yang paling baik terjadi pada bulan Oktober. Prediksi curah hujan bulanan dengan prediktor suhu dan kelembapan udara menghasilkan nilai koefisien korelasi sangat kuat dan RMSE yang baik yaitu r = 0.93 dan RMSE = 46,26%.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114317672","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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