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Membangun Desa Mallongi-Longi Melalui Program Prisma (Proyek Mini Infrastruktur Matematika) Syafruddin Side; Irwan; Fitrah Mallolongeng; Nora Auliya Zahra; Syarif Hidayat
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 2 No. 2 (2023): Volume 02 Nomor 02 (Oktober 2023)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v2i2.534

Abstract

Mallong-Longi Village, Lanrisang District, Pinrang Regency, South Sulawesi Province is the location for the 2022 UNM KKNT team from the 2019 Mathematics study program. The people of Mallongi-Longi Village are mostly farmers/planters. The problem that is still faced by the village community is that the healthy environment in their homes and surroundings has not been maximized. The solution to this problem is to implement the Building Mallongi-longi village through the PRISMA Program to carry out cleaning and mutual cooperation activities for community service activities so that a Clean village environment is obtained. Furthermore, from the solution above, a work program was formed in the form of PRISMA Day, then the method of activity used by the work program was to carry out a Mathematical Infrastructure Mini Project. The results obtained during the implementation of the work program were Making a Vision-Mission Board for the Mallongi-Longi Village Office, Doing Community Service, Painting Village Boundaries, and Making Garbage Board Warnings.
Penerapan Metode ARIMA dalam Meramalkan Kebutuhan Energi Listrik di Kota Makassar Maya Sari Wahyuni; Ahmad Zaki; Syarif Hidayat; Muhammad Isbar Pratama
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4388

Abstract

. Tingkat pemakaian energi listrik di Kota Makassar tiap bulannya pada tahun 2018 sampai dengan 2022 berbeda-beda. Oleh karena itu, diperlukan peramalan agar dapat dilakukan pengelolaan dan perencanaan kebutuhan energi listrik dengan baik. Tujuan penelitian ini untuk mengetahui model ARIMA terbaik yang digunakan dalam peramalan kebutuhan energi listrik di Kota Makassar 12 bulan berikutnya. Tahapan untuk menentukan model ARIMA dimulai dari identifikasi kestasioneran data, indentifikasi model sementara, estimasi dan uji signifikansi parameter, uji asumsi residual, pemilihan model terbaik, melakukan peramalan serta uji ketepatan model peramalan. Hasil dari penelitian ini diperoleh model terbaik yaitu ARIMA(1,0,0) dengan nilai MAPE sebesar 0,4735% yang berarti bahwa model sangat baik dan layak untuk digunakan dalam peramalan. Kata Kunci: Energi Listrik, ARIMA, MAPE The level of electricity consumption in Makassar City every month from 2018 to 2022 is different. Therefore, forecasting is needed so that the management and planning of electrical energy needs can be carried out properly. The purpose of this study was to determine the best ARIMA model to be used in forecasting electricity demand in Makassar City for the next 12 months. The steps for determining the ARIMA model start with identifying the stationarity of the data, identifying temporary models, estimating ang testing the significance of parameters, testing the residual assumptions, selecting the best model, making forecasts and testing the accuracy of the forecasting model. The results of this study were obtained by the best model, ARIMA(1,0,0) with a MAPE value of 0,4735% which said that the model was very good and feasible to use in forecasting. Keywords: Electrical Energy, ARIMA, MAPE