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Forecasting Population of Madiun Regency Using ARIMA Method Farida, Yuniar; Farmita, Mayandah; Ulinnuha, Nurissaidah; Yuliati, Dian
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.16156

Abstract

The high population growth of the Madiun Regency can cause population density that can have implications for other problems, both in terms of social, economic, welfare, security, land availability, availability of clean water, and food needs. This study aims to predict the population growth of Madiun Regency using the ARIMA method. The ARIMA (Autoregressive Integrated Moving Average) method is popular for forecasting time series data, which is reliable because the calculation process is done gradually. This study uses annual population data of Madiun Regency from 1983 to 2021 and produces an ARIMA forecasting model (0,2,1) with a MAPE value of 8.42%. The results of this study are expected to be used as information from the Madiun Regency government in anticipating the emergence of problems caused by the population level of Madiun Regency in the future.
MODELING CRIME IN EAST JAVA USING SPATIAL DURBIN MODEL REGRESSION Farida, Yuniar; Farmita, Mayandah; Intan, Putroue Keumala; Khaulasari, Hani; Wibowo, Achmad Teguh
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1497-1508

Abstract

The high crime rate will create unrest and losses for the community. One of the provinces with high crime rates is East Java. This study aims to analyze the factors that influence criminality in East Java to ensure appropriate crime prevention and control measures can be taken. The factors that potentially influence crime in East Java studied include population density, the number of poor people, unemployment, Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and per Capita Expenditure, which are associated with geographical conditions in each region (regency/city) collected from BPS East Java in 2022. Meanwhile, the number of crimes is collected from the East Java Regional Police. This research uses a statistical method, namely the Spatial Durbin Model (SDM), which is a particular form of the Spatial Autoregressive Model (SAR) method with Queen Contiguity weighting by analyzing geographically (spatial processes). Based on the results of the analysis, it was found that the influential factors were unemployment, HDI, GRDP, and per Capita Expenditure, and the R-square result was obtained at 85.18%. This shows a relationship between spatial accessibility and crime, where unemployment, HDI, GRDP, and per Capita Expenditure in an area can affect regional vulnerability to crime
Optimasi Produksi Makanan Menggunakan Fuzzy Linear Programming Putri, Evi Septya; Farmita, Mayandah; Novitasari, Dian Candra Rini
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 2 (2022): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i2.5033

Abstract

Restoran Chickenoya adalah rumah makan yang memproduksi berbagai macam olahan daging ayam. Pemilik restoran belum maksimal dalam menentukan banyaknya ayam yang harus diproduksi untuk mencapai keuntungan yang maksimum. Hal tersebut dikarenakan ada beberapa faktor yang mempengaruhi, seperti ketidakpastian jumlah bahan baku yang tersedia dan kondisi keuangan yang tidak stabil. Oleh karena itu perlu dilakukannya optimasi yaitu dengan metode Fuzzy Linear Programming (FLP). Dari hasil penelitian diperoleh solusi optimal untuk produksi pada menu Ayam Geprek sebanyak 4532 porsi dan Menu Ayam Krispi sebanyak 2366 porsi dengan keuntungan sebesar Rp. 20.514.680.