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All Journal Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Buguh: Jurnal Pengabdian Kepada Masyarakat
Azis, Dorrah
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation

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PELATIHAN STATISTIKA DESKRIPTIF UNTUK DATA ADMINISTRATIF DI KECAMATAN TELUK BETUNG BARAT KOTA BANDAR LAMPUNG Herawati, Netti; Nisa, khoirin; saidi, subian; Sutrisno, Agus; Azis, Dorrah; Zakaria, La
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 4 No. 1 (2024): Maret 2024
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/buguh.v4n1.2299

Abstract

Data administratif merupakan kumpulan data yang memiliki sifat nyata tentang sesuatu yang dianggap penting dan disimpan secara sistematis dalam sebuah sistem untuk mendapatkan suatu informasi tentang suatu hal yang berhubungan dalam ruang lingkup tertentu. Catatan administrasi dijaga untuk mendisiplinkan arah barang dan informasi dan dapat digunakan untuk tujuan pengambilan keputusan tertentu, sehingga adanya satuan identitas yang memiliki kesesuaian dengan catatan tertentu sangat penting. Untuk itu, perlu dilakukan analisis terhadap data yang sudah diperoleh agar agar masyarakat dapat melihat gambaran jelas terkait data yang diperoleh dan juga memudahkan perangkat daerah untuk mengambil keputusan terkait kebijakan yang akan diambil. Oleh karena itu akan dilakukan pelatihan dan sosialisasi terkait pelatihan analisis data deskriptif bagi perangkat daerah di kecamatan teluk betung barat kota bandar lampung. Sehingga diharapkan kedepannya gambaran terkait data dapat dipublikasikan dalam bentuk yang mudah untuk dipahami yaitu dengan statistika deskriptif.
The comparison of the effectiveness of the lowest supply lowest cost (LSLC) algorithm and the exponential approach algorithm in transportation problems Purba, Tresya Carmela; Notiragayu, Notiragayu; Fitriani, Fitriani; Azis, Dorrah
Desimal: Jurnal Matematika Vol. 4 No. 2 (2021): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v4i2.9179

Abstract

Transportation problems are one of the particular forms that often appear in linear programs, one of which is the distribution of goods. A transportation method is needed to determine the optimal result, namely, the minimum cost from source to destination with all demand and supply fulfilled. There are several methods, one of which is the Lowest Supply Lowest Cost Method (LSLC) and the Exponential Approach Method (PE). Both methods are made in a MATLAB program, generating a script that calculates the algorithm's time complexity. Using the function notation, the Big-O Algorithm complexity of the Lowest Supply Lowest Cost method is more efficient than the Exponential Approach Method algorithm. At the same time, the optimal result for the minimum cost between the two methods is obtained by using the Exponential Approach Method.
An Analysis Genotype Inheritance in a Trihybrid Cross by Applying a Diagonalization of Matrix Method Azis, Dorrah; Syanur, Marsela Nuvela; Amanto, Amanto; Zakaria, La
Desimal: Jurnal Matematika Vol. 5 No. 3 (2022): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v5i3.11955

Abstract

This research aimed to find out the formulation of inheritance to know the genotype of the n-th generation in trihybrid crosses with controlled parent genotypes and analyze them by applying the diagonalization of a matrix. Matrix diagonalization makes it easier to find out the inheritance genotype of the n-th generation in trihybrid to obtain superior offspring compared with crossing it one by one, which requires a lot of time and cost. Based on the analysis, an equation for the probability of inheritance was obtained for 27 genotypes of the n-th generation, and the resulting offspring in an infinite generation are likely to have the TTKKBB genotype.
RIDGE LEAST ABSOLUTE DEVIATION PERFORMANCE IN ADDRESSING MULTICOLLINEARITY AND DIFFERENT LEVELS OF OUTLIER SIMULTANEOUSLY Herawati, Netti; Saidi, Subian; Azis, Dorrah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.598 KB) | DOI: 10.30598/barekengvol16iss3pp779-786

Abstract

If there is multicollinearity and outliers in the data, the inference about parameter estimation in the LS method will deviate due to the inefficiency of this method in estimating. To overcome these two problems simultaneously, it can be done using robust regression, one of which is ridge least absolute deviation method. This study aims to evaluate the performance of the ridge least absolute deviation method in surmounting multicollinearity in divers sample sizes and percentage of outliers using simulation data. The Monte Carlo study was designed in a multiple regression model with multicollinearity (ρ=0.99) between variables and and outliers 10%, 20%, 30% on response variables with different sample sizes (n = 25, 50,75,100,200; =0, and β=1 otherwise). The existence of multicollinearity in the data is done by calculating the correlation value between the independent variables and the VIF value. Outlier detection is done by using boxplot. Parameter estimation was carried out using the RLAD and LS methods. Furthermore, a comparison of the MSE values of the two methods is carried out to see which method is better in overcoming multicollinearity and outliers. The results showed that RLAD had a lower MSE than LS. This signifies that RLAD is more precise in estimating the regression coefficients for each sample size and various outlier levels studied.
THE DEVELOPMENT OF COVID-19 USING OUTBREAK THE SUSCEPTIBLE, INFECTED, AND RECOVERED (SIR) MODEL WITH VACCINATION Azis, Dorrah; Zakaria, La; Ruby, Tiryono; Arifaldi, Muhammad Is’ad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1325-1340

Abstract

The Covid-19 pandemic in 2020 has caused severe problems in Indonesia. The Covid-19 virus epidemic can be modeled using the Susceptible, Infected, and Recovered (SIR) model. This modeling aims to look at the dynamics of Covid-19 to predict when disease-free and endemic disease occurs and to find the basic reproduction number ( ) for policy making in suppressing the spread of Covid-19. In this article, we describe and solve a research result on the SIR model with an assumption. The assumption in the model is that there is vaccination for the population. There are live stages of research conducted. The first is creating the SIR model and determining the equilibrium points on disease-free and disease-endemic. The Second is getting the basic reproduction number. The third is determining the stability around the equilibrium points using the Routh-Hurwitz criteria. Fourth, create a diagram for the subpopulations state at a specific time using Wolfram Mathematica software. As an implementation of the model created, COVID-19 data at the Batanghari Community Health Center Inpatient UPTD was used. Finally, determine the model error percentage with MAPE. The SIR Covid-19 model was made using eight parameters, namely , which are all positive. The results showed that the disease-free and disease-endemic equilibrium points were locally asymptotically stable after being analyzed using the Routh-Hurwitz stability criteria. The model trial using data from UPTD Puskesmas Batanghari obtained a stable condition for up to 100 months with a MAPE of 2.8%. From this study, obtained an . This means that if you want to reduce the rate of spread, then reduce the number of people who are easily infected ( ) and reduce contacts ( ), and increase the healing rate ( ).
Co-Authors Amanto Amanto Arifaldi, Muhammad Is’ad Fitriani Khoirin Nisa Netti Herawati Notiragayu, Notiragayu Purba, Tresya Carmela Ruby, Tiryono Saidi, Subian Sutrisno, Agus Syanur, Marsela Nuvela Zakaria, La