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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi
Inayah, Jauharotul
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Astronomy Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Klasterisasi Data Kejadian Gempa Bumi di Indonesia Menggunakan Metode K-Medoids Inayah, Jauharotul; Fanani, Aris; Utami, Wika Dianita
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 2 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i2.73594

Abstract

Wilayah Indonesia terletak di antara tiga lempeng tektonik utama, yaitu lempeng Indo-Australia, Eurasia, dan Pasifik. Situasi tersebut menjadikan wilayah Indonesia rentan terhadap gempa bumi. Pada tahun 2022, terdapat 24 kejadian gempa bumi merusak di Indonesia, dengan salah satu kejadian signifikan di Cianjur yang menyebabkan 635 korban jiwa. Kejadian tersebut menunjukkan bahwa Indonesia merupakan daerah yang rawan terhadap gempa bumi. Tujuan dari penelitian ini adalah untuk mengelompokkan daerah-daerah yang rentan terhadap gempa bumi di Indonesia menggunakan metode K-Medoids dan mengevaluasi kelompok-kelompok tersebut dengan menggunakan Silhouette Coefficient. Data kejadian gempa bumi diperoleh dari situs web United States Geological Survey (USGS) dengan total 582 kejadian. Metode ini membentuk hasil jumlah klaster terbaik adalah dua klaster dengan memperoleh nilai Silhouette Coefficient sebesar 0,68016. Adapun hasil klaster tersebut dikategorikan sebagai kelompok tingkat kerentanan sangat tinggi, mencakup daerah sekitar pulau Bali, Sulawesi, hingga Irian Jaya, dan kelompok tingkat kerentanan tinggi, melibatkan daerah barat pulau Sumatra hingga selatan pulau Jawa.
IMPLEMENTASI ALGORITMA WELCH-POWELL PADA PEWARNAAN GRAF WILAYAH DI KALIMANTAN TIMUR Nur Aulia, Shofinatul Wahdah; Inayah, Jauharotul; Imron, M.; Fanani, Aris
Jurnal Spasial Vol 11, No 4 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i4.9913

Abstract

Graph theory is a branch of mathematical study that studies the relationship of a non-empty set which contains several elements called vertices and a list of paired elements called edges. Graph coloring is a technique of adding color to every point on a graph. The purpose of this study is to make it easier for map readers to distinguish each region on a map of East Kalimantan Province. This study implements graph coloring using the Welch-Powell algorithm method which colors the graph based on the highest degree of the end point. This study resulted in graph coloring on the East Kalimantan map obtaining a chromatic number X(G) = 3 in red for the Kutai Kartanegara, Paser, and Berau regions, then blue for the North Penajam Paser, Mahakam Ulu, Botang, and Samarinda regions, and the color green for West Kutai, East Kutai and Balikpapan.
COMPARISON OF FORECASTING RICE PRODUCTION IN MAGELANG CITY USING DOUBLE EXPONENTIAL SMOOTHING AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Imron, M.; Khaulasari, Hani; SNM, Diva Ayu; Inayah, Jauharotul; S, Eka Eliyana
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/barekengvol17iss3pp1533-1542

Abstract

Magelang City has experienced a significant decline in the rice production sector, triggering the need for forecasting research as the next crucial step. This research aims to forecast rice production in Magelang city. By applying Double Exponential Smoothing and ARIMA methods, the most suitable forecasting model is identified. Data on rice production was obtained from the Badan Pusat Statistik (BPS) of Magelang city. The results revealed that the ARIMA (0,1,1) model with MSE of 479,259 was the best choice. This model is expressed as . Using this model, rice production was forecast from July to December 2023, the forecasting results showed that rice paddy production is expected to fluctuate in the coming months. For July 2023, production is projected to be around 65,1762 units, followed by 51,4779 units in August, 58,2432 units in September, and so on.
Co-Authors Aris Fanani Hani Khaulasari M. Imron Nur Aulia, Shofinatul Wahdah S, Eka Eliyana SNM, Diva Ayu Wika Dianita Utami