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Unisda Journal of Mathematics and Computer Science (UJMC)

ujmc
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Published by Universitas Islam Darul Ulum

ISSN : 24603333 EISSN : 2579907X DOI : -

Core Subject : Science, Education,

Computer Science & IT Education Mathematics

Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, statistics

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Articles 12 Documents

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Search results for , issue "Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science" : 12 Documents clear

ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT Baiq Diah Fitasari; Sri Haryatmi; Zulaela Zulaela
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Approaches that are used to estimate the regression function are parametric regression model approaching and nonparametric regression model approaching. Semiparametric regression is association of parametric regression and nonparametric regression. Semiparametric regression is used if the relation pattern between independent variables and dependent variables has the known pattern and also has the unknown pattern. Estimating the unknown regression approaching and in this case is using the Nadaraya Watso estimator. Semiparametric estimator is better than nonparametric estimator for the data which have the unknown relationpattern between dependent and independent variable and also has the unknown relation pattern between dependent and independent variable by using the MSE value.

PENGGUNAAN BIOKOMPOS DAN BIOAKTIVATOR FORMULASI BUTIRAN YANG MENGANDUNG TRICHODERMA SPP. UNTUK MENINGKATKAN HASIL KEDELAI DI TANAH ENTISOL Burhanudin Burhanudin
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

One of the biggest problem on soybean production in Indonesia is low it's productivity (1,174 tons/ha). Indonesia is one of the biggest soybean import country from overseas 1,7 million tons in year of 2013. There are a number of factors causing low productivity of soybean in Indonesia including : (1) limited harvest areas, (2) declining soil fertility, (3) decreasing agricultural land due to other users, (4) decreasing interest of farmers in soybean due to low benefit comparing with other crops. Therefore it is important to study The use of biocompost and bioactivator in a granule formulation containing Trichoderma spp to enhance yield of soybean in tropopsament. The aim of the study was to improve the production and productivity of soybean. This experiment was conducted in the field using a factorial experiment design. As the main plots (PU) was biocompost consist of 4 levels (b0) control (No biocompost added), (b1) 5 tons/ha of biocompost, (b2) 10 tons/ha of biocompost and (b3) 15 tons/ha of biocompost and sub-plots (AP) was a bio-activator consist of (f0) without the application of bioactivator, (f1) 0,3 tons/ha of bioactivator, (f2) 0.7 tons/ha of bioactivator and (f3) 1,1 tons/ha of bioactivator. The results showed that: (1) the application biocompost 10 tons/ha resulted of 2,863 tons/ha yield of soybean and the lowest yield resulted from the control treatment 1,709 tons/ha; (2) application of bioaktiavtor of 1,1 tons/ha resulted 2,764 tons/ha soybean yield and the lowest yield was resulted from the the control without the application of bio-activator was about 1,859 tons/ha. In addition the application of biocompost increased soybean yield by 23,65% while the application of bioactivator increased yield by 23,54% bio-action. In conclustion application of optimum level of both biocompost and bioactivator incresed soybean yield by more than 23%, however from farmers" benefit cost analysis, the application of bioactivator is much more beneficial for farmer than application of biocompost.

PENERAPAN HIERARCHICAL LINEAR MODELING UNTUK MENGANALISIS DATA MULTILEVEL Dewi Wulandari; Ali Shodiqin; Aurora Nur Aini
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Multilevel data are data that are nested within the other data which are in the higher level. As an example is students are nested in the classes. The student is the level-1 variable and the class is the level-2 variable. Multilevel data are not restricted only level-2 but also more than it. As an example we have taken, school is the level-3 variable, region is the level-4 variable etc. Students in one class will be different from another class, classes in one school will be dierent from another school, etc. Because of this variation then we need Hierarchical Linear Modeling (HLM) toanalyze it. This method is a complex form of OLS (Ordinary Least Square) regression. In estimating the parameters we use GLS (Generalized Least Square). In this research, we use mathematics score of Nasima junior high school student Semarang. From the analysis result which are got by using software HLM student version we can conclude that there's no signicant variation within groups or classes, then it's enough using OLS regression to analyze the factors affecting mathematics score. Hypothesis of the reason of this is the amount of unit in level-2 variables are not enough, they are only 4 units. To prove this hypothesis, we need another research.

ANALISIS PERMAINAN EMPAT BILANGAN Melisa Melisa
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

The four-number game starts from 4-tuple (a; b; c; d) of nonnegative numbers a, b, c, d. In this game, the next 4-tuple is (|a-b|; |b-c|; |c-d|; |d-a|) and similar rule of changes of the subsequent 4-tuples is imposed until the game reaches the zero 4-tuple (0, 0, 0, 0). The winner of this game is the one who chooses the initial 4-tuple leading to the longest game. In this paper analyzes the game length based on the following criteria imposed on the four numbers of the 4-tuple: nonnegative integers, nonnegative rationals and nonnegative reals. The results shows that everyfour-number game with nonnegative integers or rational integers has nite length. Despite of this fact, for every positive integer m, there is an initial 4-tuple based on Tribonacci sequence that leads to four-number game with length greater than m. For the game with real integers, although the game generally has nite length, there are (innite number of) initial 4-tuples that leads to innite length games.

APLIKASI METODE PANGKAT DALAM MENGAPROKSIMASI NILAI EIGEN KOMPLEKS PADA MATRIKS Novita Eka Chandra; Wiwin Kusniati
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Power method is a method of iterations to nd the eigenvalues in the matrix. Based on previous research has been conducted to nd of application thepower method eigenvalues in the matrix. However, in these studies is limited to real eigenvalues . In this study , power method applied to nd the complex eigenvalues of a matrix . With the help of Matlab program in accordance with the results obtained using the results of manual workmanship . From the results, it can be conclusion that the power method can be applied to nd the complex eigenvalues in a matrix.

PERAMALAN PENYEBARAN JUMLAH KASUS VIRUS EBOLA DI GUINEA DENGAN METODE ARIMA Novita Eka Chandra; Sarinem Sarinem
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Ebola virus can cause death. The spread number of cases of this virus is very rapidly, especially in the Guinea of West Africa. Based on the past data, the spread number of cases of ebola virus can be predicted by the method of time series namely ARIMA method. In this study the researcher used 63 cases of ebola virus. By using ARIMA method, it was found that an appropriate model for the spread of ebola virus cases is ARIMA(0,2,3). Based on the model, the spread number of cases of ebola virus can be predictedfor the next 13 periods, with the result that the spread number of cases of ebola virus has decreased from period to period.

PENERAPAN KODE HUFFMAN PADA ALGORITMA RSA (RIVEST-SHAMIR-ADLEMAN) UNTUK MENYANDIKAN PASSWORD EMAIL Shofwan Ali Fauji; Mohammad Syaiful Pradana; Niken Ayu Azhari
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Email password is highly condential, that the email password can not be seen by other people then the encryption with the science of cryptography. To avoid unwanted things on the email password, the authors will examine and discuss about cryptography or encryption. Encoding using ASCII code and Huffman codewill be applied to the RSA, in order to determine which code is faster in the prosess of encoding the email password. After doing some tests it can be concluded that the Huffman code faster in the encoding process of the ASCII code. The average difference is 45% faster than the ASCII code.

PEMODELAN REGRESI COX DAN REGRESI WEIBULL WAKTU SEMBUH DIARE PADA BALITA Siti Alfiatur Rohmaniah; Danardono Danardono
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

There are some consequences that occur because of diarrhea such as low levels of hemoglobin, weight loss, and dehydration. Severe dehydration can lead to death. This study aims to model the time cured of diarrhea on infants used the Cox regression method and Weibull regression to determine the factors that signicantly influence the long diarrhea. The method used to analyze data on infants under diarrhea includes sex, duration of diarrhea from beginning to heal, age of the children, the value of nutrition in infants and toddlers hemoglobin levels. Further, it continued by modeling these factors using cox regression and regression weibull. The results obtained the nutritional value on infants signicantly eect on diarrhea in infants.

PEWARNAAN TITIK PADA GRAF UNTUK PENYUSUNAN MENU MAKANAN Siti Amiroch; Evi Eka Andini
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

A balanced diet encourage the creation of eating behavior that optimizes the intake and absorption of nutrients by consuming healthy foods corresponding proportion in each serving. To realize the diet required a proper diet plan and balanced with a method of food combining. By applying the coloring point on the graph using the Welch-Powell algorithm and the combination of mathematics imposed on the menu sequence can provide a solution to preparing the menu that varies with the amount of calories that is appropriate and balanced according to the rules low calorie diet. The results obtained from the third combination meal menu is 108 varied menu of breakfast, lunch menu variations 162, and 16 variations of the dinner menu. With respect to the number of calories for all three, each taken ve menus to be combined in a week. Obtained result V1, V5, V8, V9 with the color red dot on consumption on Monday, Tuesday, and Wednesday. V2, V3 and V7 with the color green dot inconsumption on Thursday and Friday, and V4, V6 and V10 which has a yellow color in consumption on Saturday and Sunday.

IMPLEMENTASI METODE LAGRANGE UNTUK OPTIMASI PENYAKIT KANKER HATI Tony Yulianto; Kuzairi Kuzairi; Riyatun Hasanah
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Modelling the math frequently encountered in everyday life , many things that can be modeled by mathematical modeling , one of which is the modeling of the disease. One of the diseases thoth can be modeled is liver cancer. Liver cancer is very much experienced by people, also cause a variety ranging from the spread of viruses and inveksi . Thus, in the mathematical modeling of the matter is that the modeling using Lagrange method not instant but through a few steps to get the optimal control of this modeling . Thus the optimization of liver cancer can be viewed from the optimal solution by applying the method of Lagrange. From the result of applying the method lagrange can be obtained results when tumor cells T = 0, immune cells I = 0, and addition of condition M = 0, that indicate a person is said to be normal N = 1.

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