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All Journal Jurnal Buana Informatika Jurnal Online Mahasiswa (JOM) Bidang Pertanian MAHKAMAH: Jurnal Kajian Hukum Islam Sistemasi: Jurnal Sistem Informasi QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Ibtida'iy : Jurnal Prodi PGMI Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Applied Information System and Management J-MAS (Jurnal Manajemen dan Sains) Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Journal Physical Education, Health and Recreation JURNAL TEKNOLOGI DAN OPEN SOURCE Tribakti: jurnal pemikiran keIslaman Jurnal Pengabdian Magister Pendidikan IPA At-Ta'lim : Media Informasi Pendidikan Islam TARBIYATUNA Manhaj: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal E-Komtek Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Ilmu Administrasi dan Studi Kebijakan (JIASK) Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Penyuluhan Pertanian Basica Jurnal PKM Manajemen Bisnis CEMERLANG :Jurnal Manajemen dan Ekonomi Bisnis Jurnal Manajemen Riset Inovasi SATIN - Sains dan Teknologi Informasi Jurnal Teknologi Industri Modem : Jurnal Informatika dan Sains Teknologi Tribakti: Jurnal Pemikiran Keislaman Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Jurnal Akademika Baiturrahim Jambi Akademika Jurnal Teknologi Pendidikan Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) At-Ta'lim : Media Informasi Pendidikan Islam Jurnal Publikasi Manajemen Informatika
Samsudin Samsudin
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Bitcoin Price Forecasting Using Random Forest and On‑Chain Data Samsudin Samsudin; Muhammad Dedi Irawan; Muhammad Irwan Padli Nasution; Raissa Amanda Putri
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46690

Abstract

Bitcoin’s extreme price volatility has long posed challenges for both investors and researchers seeking reliable forecasting models. Conventional financial approaches often fail to capture the highly complex, nonlinear, and fast-moving nature of cryptocurrency markets. To address this gap, this study develops a Bitcoin price prediction model using Random Forest Regression based on on-chain market data. The dataset was obtained from publicly available historical Bitcoin daily trading records spanning more than five years. Key features include opening price, daily high and low ranges, trading volume, and percentage change. The research was carried out in several stages. First, data preprocessing was conducted through normalization, handling of missing values, and feature engineering. Second, model training was performed with Random Forest, including parameter tuning to optimize predictive accuracy. Third, model evaluation employed R² and Mean Absolute Percentage Error (MAPE) as primary performance indicators. Fourth, visualization was implemented using interactive charts to allow users to observe short-term price fluctuations and long-term market patterns. The system development followed an iterative methodology inspired by the Streamlit Framework, which is an open-source Python library that simplifies building interactive web applications for data science and machine learning. This approach provides flexibility, enabling rapid experimentation and adaptation to evolving market conditions. The results show that the proposed model achieves near-perfect R² values (approaching 1.0) with consistently low MAPE, highlighting its reliability. Beyond predictive performance, the framework is designed to be scalable, supporting future integration with deep learning methods such as LSTM and external macroeconomic indicators, thus offering both practical utility for investors and academic contributions to decentralized finance research.
Implementasi Standar Akuntansi Pemerintahan Berbasis Akrual terhadap Kualitas Laporan Keuangan Daerah: Studi Kasus pada BPKAD Kabupaten Dompu Liyanti Liyanti; Samsudin Samsudin; Shoalihin Shoalihin
CEMERLANG : Jurnal Manajemen dan Ekonomi Bisnis Vol. 6 No. 1 (2026): CEMERLANG : Jurnal Manajemen dan Ekonomi Bisnis
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/cemerlang.v6i1.10270

Abstract

This study aims to analyze the implementation of Accrual-Based Government Accounting Standards (SAP) and its relationship with the quality of financial statements at the Regional Financial and Asset Management Agency (BPKAD) of Dompu Regency. A qualitative case study approach was employed to obtain an in-depth understanding of the implementation process, supporting factors, challenges, and its contribution to financial reporting quality. Data were collected through interviews, observations, and documentation and analyzed using the Miles and Huberman interactive model, which consists of data reduction, data display, and conclusion drawing. The results indicate that the implementation of accrual-based SAP has been carried out effectively, supported by the use of SIPD RI, compliance with applicable accounting standards, and strong organizational commitment. However, several challenges remain, particularly limited human resource competence in accrual accounting and technical issues related to the accounting system. These challenges are addressed through training, self-learning, and technical guidance to improve staff capabilities and system utilization. Overall, the implementation of accrual-based SAP contributes to improving the quality of financial statements, particularly in terms of relevance, reliability, comparability, and understandability. These findings highlight the importance of continuous capacity building and system improvement.
Co-Authors Abdullah Abdullah Abdullah Abdullah Achdiyat Achdiyat Ade Suryana Adhimas Wisnuyudo Agrian Dwi Lesmana Ahmad Nursodiq Aidil Putra Andika Firmansyah Ardo, Okilanda Baiq Gina Yuliandari Putri Bilbi Huzaimi Mahmuda Burhan Firdaus Devry Hernawan Surya Negara Dhoni Kristanto Dian Urna Fasihat Dinda Ayu Dzaky Setiawan Tauri Eko Heri Purwanto Emmy Darmawati Endah Fantini Erlida Ariani Fahru Mauzu Firda Rabiatul Ain Haryono, Wasis Helmi Azahari Hidayat Humaid Janwar Surya Ardi Kusdiyana Kusdiyana Laila Nurzanah Liyanti Liyanti Lukman Riyadi M. Fahrizal Akbar M. Saidin Masriah Masriah Mila Triana Sari Moh Asvin Abdur Rohman Muhamad Rizki Al-Baras Muhammad Ali Muhammad Asrofi Muhammad Dedi Irawan Muhammad Hisyam Bahari Muhammad Rizky Albaras Muhammad Sholihin mundikan mundikan Nasution, Muhammad Irwan Padli Natal Ginting Nelvia Nelvia Nelwan, Leopold Oscar Noviandari Sari Utami Novika Wulandari Nuriadi Nuriadi Nurmala Mukhtar Raissa Amanda Putri Raodatul Jannah Satrio Utomo Widodo Shoalihin Shoalihin Sugeng Widodo Sukati S. Suryati K. Suzanah Suzanah Syahrial Siddik Taufik Qurrahman Tya Lestari Ubaidillah Ubaidillah Wim Syarifudin Yohannes Dewanto Yuan Adria Rahman Zaenul Ma'ruf