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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi REKAYASA Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Pengabdian Masyarakat Nusantara Jurnal Abdi Panca Marga Indonesian Business Review Journal of Applied Agricultural Science and Technology Abdimas Indonesian Journal Indonesian Journal of Applied Mathematics Indonesian Journal of Statistics and Its Applications
Nuramaliyah, Nuramaliyah
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

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SOSIALISASI ASURANSI KENDARAAN DAN KESELAMATAN BERLALU LINTAS DI JALAN RAYA BERSAMA PT JASA RAHARJA CABANG SUMBAWA Nuramaliyah, Nuramaliyah; Hasri, Diah Anggeraini; Mikhratunnisa, Mikhratunnisa; Safitri, Oryza; Hakim, Lukmanul; Akbar, Arya Zufikar; Hartini, Hartini
Abdi Panca Marga Vol 5 No 1 (2024): Jurnal Abdi Panca Marga Edisi Mei 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Panca Marga Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/abdipancamarga.v5i1.1903

Abstract

Pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan, wawasan, dan literasi keamanan berkendara di jalan bagi siswa-siswi SMA/SMK/MA dan sederajat. Metode yang digunakan mencakup sosialisasi, penyuluhan, ceramah, tanya jawab, kepada 100 peserta. Hasil kegiatan menunjukkan Kegiatan pengabdian Masyarakat yang dilakukan oleh Program Studi Aktuaria Fakultas Ekonomi dan Bisnis efektif meningkatkan pengetahuan peserta mengenai asuransi kendaraan dan keselamatan berkendara. Peserta yang awalnya belum memahami detail ketentuan Undang-Undang Nomor 33 dan 34 tahun 1964 tentang Dana Pertanggungan Wajib Kecelakaan Penumpang Umum tentang Lalu Lintas dan Angkutan Jalan sehingga diperlukan pemahaman yang lebih komprehensif terkait lalu lintas jalan raya untuk mengurangi angka kecelakaan lalu lintas. Pasca sosialisasi, insights para peserta semakin meningkat. Pemahaman dalam keamanan berkendara motor menjadi luas dan juga tentang asuransi yang diberikan oleh PT. Jasa Raharja
Comparison of ARIMA, Random Forest, and Hybrid ARIMA-Random Forest Models in Forecasting Indonesian Crude Oil Prices Rahkmawati, Yeni; Annisa, Selvi; Hafid, Hardianti; Nuramaliyah, Nuramaliyah; Safitri, Emeylia
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): 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/cauchy.v11i1.36540

Abstract

The price of Indonesian crude oil is highly volatile due to global demand fluctuations, energy policies, and geopolitical tensions, making accurate forecasting challenging. This study compares three forecasting models: ARIMA, Random Forest, and Hybrid ARIMA--Random Forest, to identify the most accurate approach. Model performance was evaluated using Time-Series Cross-Validation (TSCV) and metrics including Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). The results indicate that the Random Forest model, tuned with \texttt{mtry = 1} and \texttt{ntree = 200}, outperformed both ARIMA and Hybrid ARIMA--Random Forest, achieving the lowest MAPE, MAE, and RMSE values. This suggests that Indonesian crude oil prices during the study period are predominantly non-linear, and Random Forest alone effectively captures these dynamics. Forecasts based on this model indicate a short-term increase in prices from 61.10 USD/Barrel in December 2025 to 64.29 USD/Barrel in March 2026, followed by a slight decline and modest recovery by June 2026. Overall, Random Forest provides a reliable and accurate tool for forecasting Indonesian crude oil prices, offering valuable insights for policymakers, investors, and market participants navigating volatile oil markets.
Co-Authors Abda Abda Abdul Salam Agus Santoso Agus Santoso Akbar, Arya Zufikar Amry Purnama Mauladi ASEP SAEFUDDIN Baehaqi Diah Anggeraini Hasri Fahlia Fahlia Fahlia, Fahlia Faulina, Ria Fendy Maradita Fitriana, Ika Nur Laily Fitriyantari Hanifa Sri Nuryani Hardiansyah, Rian Hardianti Hafid Hartini Hartini Leviany, Fonda Lukmanul Hakim Lukmanul Hakim Maradita, Fendy Mika Alvionita Sitinjak Mikhratunnisa, Mikhratunnisa Muhammad Nur Aidi Oryza Safitri Safitri, Emeylia Safitri, Oryza Sari, Ratna Nurmalita Selvi Annisa Sri Nuryani, Hanifa Yeni Rahkmawati