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Meira Parma Dewi

Jurusan Matematika Universitas Negeri Padang

Author-ID : 5414948

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Peramalan Jumlah Penumpang Kereta Api Indonesia (Persero) Divisi Regional II Sumatera Barat Menggunakan Metode ARIMA Tisa Revina Dewi; Helma Helma; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – PT. Kereta Api Indonesia (Persero) Regional Division II West Sumatera is currently facing the problem of carrying capacity that doesn’t meet the increasing passenger capacity. Therefore, will be made forecasting the number of train passengers for the future, so that the PT. Kereta Api can prepare the necessary facilities. The purpose of this study was to obtain a forecasting model and forecast the number of train passengers starting from the month of August 2015 until July 2016. The methods used are ARIMA method. After going through the stage of model identification, assessment and testing parameters, as well as the diagnostic phase, the obtained ARIMA(0,1,1)(0,1,1)12 as a suitable model for predicting the number of railway passengers with the model Yt = 243,6 + Yt-1 + Yt-12 –Yt-13 + et – 0,7689 et-1 – 0,8271 et-12 + (0,7689 x 0,8271) et-13 .Keywords – PT. Kereta Api, The Number of Passengers, Forecasting, ARIMA MethodAbstract – PT. Kereta Api Indonesia (Persero) Regional Division II West Sumatera is currently facing the problem of carrying capacity that doesn’t meet the increasing passenger capacity. Therefore, will be made forecasting the number of train passengers for the future, so that the PT. Kereta Api can prepare the necessary facilities. The purpose of this study was to obtain a forecasting model and forecast the number of train passengers starting from the month of August 2015 until July 2016. The methods used are ARIMA method. After going through the stage of model identification, assessment and testing parameters, as well as the diagnostic phase, the obtained ARIMA(0,1,1)(0,1,1)12 as a suitable model for predicting the number of railway passengers with the model Yt = 243,6 + Yt-1 + Yt-12 –Yt-13 + et – 0,7689 et-1 – 0,8271 et-12 + (0,7689 x 0,8271) et-13 . Keywords – PT. Kereta Api, The Number of Passengers, Forecasting, ARIMA Method

Algoritma Genetika pada Optimasi Persoalan Knapsack 0/1 Abdullah Husein; Dewi Murni; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – The problem of 0/1 Knapsack is an issue in the selection of objects from the set of objects that each object have a decision "selected" or "not selected". The decision to choose a object is prioritized by the weight and profit of these objects, for example, to maximize profits or minimize costs. The main issue of this problem, it take to many processes and time to find the optimum solution. Therefore, we need a method and a program to find aproximate solutions to this problem so that decisions can be made quickly with fixed gain maximum profit. The purpose of this study is to obtain an efficient way to finding the optimum solution of this problem. Optimization method that used in this research is genetic algorithm, while the program is made in Python programming language. Based on this research, it is known that the genetic algorithm is able to obtain the optimum solution knapsack problem in a fairly short time.Keywords – 0/1 knapsack problem, finding the optimal solution, genetic algorithm

Faktor-Faktor Risiko yang Mempengaruhi Kanker Paru-Paru dengan Menggunakan Analisis Regresi Logistik Juwita Juwita; Nonong Amalita; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Lung cancer is a disease with characteristic presence of uncontrolled cell growth in the lung tissue. If not treated, the growth of these cells can spread beyond the lung. So if it is not taken seriously, will be ensured with lung cancer longer will increase. The factors that affect the risk of lung cancer are age, gender, cigarette consumption and lung disease history, family history, and type of work. To determine the factors that most influence the risk of lung cancer will be established a model which can help the application of a causal relationship between two or more variables by using logistic regression analysis. Which aims to determine the factors that influence and determine the chances of each of the factors that affect the risk of lung cancer. Based on theresults of the study, the factors that affect the risk of lung cancerat the Hospital Dr. M. Djamil Padang is age cigarette consumption and lung disease history. If a personolder than 40 years, smokers and have a history of lung disease, the chances that a person will suffer from lung cancer increases.Keywords–lung cancer, risk factor, logistic regression analysis

Peramalan Ekspor Minyak Kelapa Sawit Indonesia Menggunakan Metode Pemulusan Eksponensial Tripel Tipe Brown Istima Istima; Media Rosha; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Palm oil is one of the non oil and natural gas export commodities in Indonesia that has a high economic value and becomes one of the country’s foreign exchange earner. The increase of the world market needs of palm oil will certainly affect export activities. Therefore, the exports of palm oil for the next few years need to be predicted so that the government can make planning and do appropriate actions. The method used was the Tripel Exponential Smoothing Method Type Brown. This method is a one parameter quantitative forecasting method for time series data that are quadratic trend. The forecast accuracy measure used was Mean Square Error (MSE) to determine the ideal parameter. The forecast model obtained was . The forecast of the exports of Indonesian palm oil in 2015 to 2019 were between 24.509,329 thousand tons to 33.563,659 thousand tons. Keywords – forecasting, export, palm oil, tripel exponential smoothing method type brown

Penerapan Pohon Rentang Minimum pada Graph dalam Segmentasi Citra Silvia Alvini; Armiati Armiati; Meira Parma Dewi
Journal of Mathematics UNP Vol 6, No 2 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Image segmentation is the process of separating the object from the background or of other objects that are not a concern, so the object can be processed for the other purposes. Along with the development of technology in digital image processing application, the segmentation process becomes increasingly necessary. The results of the segmentation must be accurate so that any error does not happen in the interpretation of information from an image. This article discussed the application of the minimum spanning tree on a graph in a segment of an image. This method is able to separate an object from the background so that it produces binary image, which is in this case, the object that being the focus is set in white, while the background is black or otherwise. The whole processes were done by using the Matlab R2013a. Keywords – graph, minimum spanning tree, image segmentation, digital image

Analisis Faktor-Faktor yang Mempengaruhi Produksi Jeruk di Kenagarian Kototinggi Kecamatan Gunuang Omeh Kabupaten 50 Kota Menggunakan Regresi Linear Berganda leni rahayu; meira parma dewi
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract–The production centre of oranges in 50 Kota Regency, Kototonggi Subdistrict. The production of oranges has a fluctuation every year.Thei purposei is to observe the most signifikant factor which influences the production of the oranges at Kototinggi Subditrict, Gunuang Omeh District, 50 Kota Regency. The instrument was a questionnaire given directly to 100 orange farmers in Kototinggi Subdistrict and the data included primary data. The analysis used is multi linier regresion analysis. The most significant factors of oranges production in Kototinggi Subdistrict are farming land area (x1) , amount of fertilizer (x3), amount of pesticide (x4), diseases and pest (x5) with the level of error 10 %Keywords–Orange, Multiple Linear Regression Analysis, Factor of Production

Co-Authors Abdullah Husein Armiati Armiati Dewi Murni Helma Helma Istima Istima Juwita Juwita leni rahayu Media Rosha Nonong Amalita Silvia Alvini Tisa Revina Dewi

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