cover
Contact Name
Fairus
Contact Email
gammapimat@gmail.com
Phone
+6285276522047
Journal Mail Official
fairuz@unsam.ac.id
Editorial Address
Jl, Prof. Dr. Syarief Thayeb, Meurandeh, Langsa Lama, Langsa City, Aceh 24416
Location
Kota langsa,
Aceh
INDONESIA
Jurnal GAMMA-PI
Published by Universitas Samudra
ISSN : -     EISSN : 27217876     DOI : https://doi.org/10.33059/jgp.v5i2
Jurnal Gamma-Pi  adalah sebuah jurnal blind peer-review yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang matematika dan pendidikan matematika. Jurnal Gamma-Pi diterbitkan oleh Program Studi Matematika, Universitas Samudra, Langsa. Jurnal Gamma-Pi diterbitkan dua kali setahun, pada bulan Juni dan Desember. Semua publikasi bersifat terbuka yang memungkinkan artikel atau manuskrip tersedia secara bebas online tanpa berlangganan atau bebas biaya. Redaksi membuka kesempatan kepada para Akademisi, Dosen, Peneliti, Guru dan Mahasiswa untuk berpartisipasi dalam mengembangkan kemajuan ilmu matematika dan aplikasinya melalui karya-karya yang inovatif.
Articles 82 Documents
PENERAPAN METODE ADAMS BASHFORTH-MOULTON (ABM) PADA APPROXIMATION JUMLAH PENGUKURAN BIDANG TANAH DI KANTOR PERTANAHAN KOTA LANGSA Maulana, Shevira Agustri; Sari, Riezky Purnama; Nabilla, Ulya
JURNAL GAMMA-PI Vol 7 No 2 (2025): Jurnal Gamma-Pi (Matematika dan Pendidikan Matematika)
Publisher : Program Studi Matematika, Fakultas Teknik, Universitas Samudra. Langsa, Aceh.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/gamma-pi.v7i2.13426

Abstract

Measuring land plots is the process of determining the location of the boundaries of land plots, which is part of the process of making land title certificates. The number of land plots in the Langsa City Land Office during December 2023 to November 2024 shows a fluctuating pattern. The aim of this analysis is to find out The results of forecasting the number of land plots at the Langsa City Land Office using the Adams Bashforth Moulton method. The data used is land plot measurement data with the type of data being secondary data obtained from the City Land Office Langsa. The type of analysis used is quantitative analysis using the Adams Bashforth Moulton method. The Adams-Bashforth-Moulton (ABM) method is used to determine the forecasting results on the number of measurements of land plots at the Langsa City Land Office. This method starts with an initial solution using fourth order Runge-Kutta, then substituted into the Adams-Bashforth predictor equation and corrected with the Adams-Moulton corrector equation. The iteration is stopped if the relative error is less than 5×10⁻⁷ after 15 iterations at the interval [0,15]. As a result, the number of land plot measurements in Langsa City increases every year, with 62 plots in December 2024, 63 plots in January 2025, 65 plots in February 2025, and 66 plots in March 2025.
ANALISIS PERBANDINGAN PEMBAYARAN PAJAK AIR BAWAH TANAH OLEH PERUSAHAAN DI KABUPATEN LABUHANBATU SELATAN TAHUN 2023 DAN 2024 MENGUNAKAN METODE UJI TANDA Syavira, Muddini; Intan, Sari; Muliani, Fitra
JURNAL GAMMA-PI Vol 7 No 2 (2025): Jurnal Gamma-Pi (Matematika dan Pendidikan Matematika)
Publisher : Program Studi Matematika, Fakultas Teknik, Universitas Samudra. Langsa, Aceh.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/gamma-pi.v7i2.13408

Abstract

This study aims to examine changes in the number of companies paying groundwater tax in Labuhanbatu Selatan Regency in 2023 and 2024. Groundwater tax serves as one of the revenue sources for local governments and supports development as well as water resource management. The data were obtained from the Regional Revenue Agency of Labuhanbatu Selatan and analyzed using a non-parametric statistical method, namely the sign test, to evaluate the paired data from the two periods. The results indicate an increase in the number of companies paying the tax in 2024 compared to 2023. The significance value of 0,006, which is below the 0,05 threshold, confirms that the increase is statistically significant. Therefore, it can be concluded that company compliance with groundwater tax payments improved in 2024. This finding suggests the need for continuous monitoring and guidance from the local government to maintain and strengthen this positive trend.