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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika Delta-Pi : Jurnal Matematika dan Pendidikan Matematika Jurnal Sains Matematika dan Statistika JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Ilmiah Pertanian ( JIPERTA) Cita Ekonomika: Jurnal Ilmu Ekonomi Al Khidma: Jurnal Pengabdian Masyarakat Pakem : Jurnal Pengabdian Kepada Masyarakat Jurnal GAMMA-PI Amalgamasi: Journal of Mathematics and Applications
Sari, Riezky Purnama
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Peramalan Jumlah Pendaftaran Tanah Menggunakan Metode Exponential Smoothing Pada Kantor Pertanahan Kota Langsa Nurhadija; Sari, Riezky Purnama; Ulya Nabilla; Nurviana; Fairus
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.v7i2.13370

Abstract

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.
EMPOWERING TEACHERS WITH AI: OPTIMALISASI KECERDASAN BUATAN UNTUK GURU SMP NEGERI 1 ACEH TAMIANG Sari, Riezky Purnama; Fitria, Liza; Nabilla, Ulya; Fairus, Fairus; Rangkuti, Wiratama; Fazira, Andini
PAKEM: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2026): Pakem : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pakem.6.1.1-7

Abstract

The development of learning systems in the digital era encourages the use of Artificial Intelligence (AI) as a supporting medium for the teaching and learning process. The use of AI not only increases student motivation, interest, and engagement but also strengthens the effectiveness of material delivery. The results of initial observations on partners, SMP Negeri 1 Aceh Tamiang, showed several main obstacles, namely: 1) Lack of understanding and awareness of the potential of AI in education. 2) Minimal training and mentoring in the use of AI. 3) No modules or guides for the use of AI are available for teachers of SMP Negeri 1 Aceh Tamiang. The purpose of this service is to empower teachers at SMP Negeri 1 Aceh Tamiang in optimizing the use of AI to improve learning effectiveness. The solutions offered are: 1) Providing socialization of understanding about AI and how this technology can help them in the teaching process. 2) Providing training and mentoring in the use of AI in Learning., 3) Providing modules or guides for the use of AI for teachers of SMP Negeri 1 Aceh Tamiang. The implementation methods include surveys, socialization, training, mentoring, and evaluation. The evaluation results showed a positive response from partners: 85% expressed satisfaction with the activities, 90% assessed the program as meeting their needs, 95% felt their knowledge and understanding had increased, 90% were more confident in using AI in learning, and 95% strongly supported the continuation of the PKM program
Co-Authors Amelia Amelia Amelia Andika, Feky Andika, Fery Arika, Arika Chaidir Chaidir Daratullaila Daratullaila, Daratullaila Edi Syahputra Edy Surya Ellida Novita Lydia Fairus Fairus, Fairus Fazira, Andini Fery Andika Fitri, Ayu Fitriana Hafipah Hidayanti, Adinda Tri indra, siti balqies Irma Susanti, Irma Liza Fitria, Liza Maulana, Shevira Agustri Muhammad Fuad Muliani, Fitra mutiara mutiara Nabilla, Ulya Nurfadillah, Dea Nurhadija Nurviana Nurviana, Nurviana Putra, Aulia Zulhaiqal Rahmi Meutia, Rahmi Rangkuti, Wiratama Ritonga, Okta Safira Rozalina, Rozalina Rozalina Saiman Saiman Sarahtika, Shopia Sari, Riska Novita Sinaga, Anggita Br Sirait, Khairunnas Fadjriah Sutrisno, Imam Hadi Ulya Nabilla Utari, S.R.F.