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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Edusoshum: Jurnal Pendidikan Islam dan Sosial Humaniora
Aziz, Faqih Abdul
Unknown Affiliation
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Neuroscience Social Sciences Transportation

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Pengembangan Sistem Prediksi Bitcoin Mengunakan Algoritma ARIMA Dan SARIMA dengan API Coingecko Ihsan, Muhammad Ifan Rifani; Aborneo, Newsem; Nugroho, Ferry; Aziz, Faqih Abdul; Danuarta, Daniel
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.9989

Abstract

Abstrak – Penelitian ini mengembangkan sistem prediksi harga Bitcoin menggunakan metode ARIMA dan SARIMA dengan data real-time dari API CoinGecko. Data di kumpulkan dalam 4 interval waktu (15 menit, 30 menit, 1 jam, 1hari) dan dibagi menjadi 80% data training serta 20% data testing. Uji stasioneritas Augmented Dickey-Fuller (ADF) awal menunjukan data tidak stasioner (p-value=0,5725), namun menjadi stasioner setelah di proses differencing (p-value=0,0000). Hasil evaluasi model menunjukan bahwa SARIMA secara signifikan lebih unggul di bandingkan ARIMA. Model SARIMA menghasilkan MAPE 0.76%, MAE 843,27, RMSE1.095,43, dan korelasi 0,92. Sementara itu, ARIMA hanya menghasilkan MAPE 2.81%, MAE 3.091,65, RMSE 3.750,52, dan korelasi -0,28. Keunggulan SARIMA di sebebkan kemampuan menangkap pola musiman dalam data. Sistem ini berhasil diimplementasikan menggunakan framework Streamlit dengan fitur auto-refresh 30 detik dan visualisasi candlestick chart interaktif. Sistem prediksi real-time ini dapat menjadi alat pendukung keputusan investasi yang akurat bagi investor cryptocurrency.Kata kunci : Prediksi  Bitcoin; ARIMA;SARIMA; Stremalit; API CoinGecko; Abstract - This research develops a Bitcoin price prediction system using ARIMA and SARIMA methods with real-time data from the CoinGecko API. Data was collected in 4 time intervals (15 minutes, 30 minutes, 1 hour, 1 day) and split into 80% training data and 20% testing data. The initial Augmented Dickey-Fuller (ADF) stationarity test showed the data was non-stasionary (p-value=0.5725), but became stasionary after the differencing processs (p-value=0.0000). Evaluation results show that SARIMA performed significantly better than ARIMA. The SARIMA model yielded a MAPE of 0.76%, MAE of 843.27, RMSE of 1.095,43, and a correlation of 0,92. In contrast, the ARIMA model only achived a MAPE of 2,81%, MAE of 3.091,56, RMSE 3.750,52, and a correlation of -0,28. SARIMA’s superiority is attributed to its ability to capture seasonal patterns in the data. The system was successfully implemented using the streamlit framework, featuring 30-second auto-refresh and interactive candlestick chart visualization. This real-time prediction system can serve as an accurate decision support tool for cryptocurrency investors.Keywords: Prediction Bitcoin; ARIMAt; SARIMA; Streamlit; API CoinGecko.
Contextualization of Distance Learning Perspective of Tarbawi Hadith Tazkiyyah, Iffatut; Aziz, Faqih Abdul; Nuraini, Aisyah Rochmah; Nitoqoin, Dzatan; Izuddin, Azmi
Edusoshum : Journal of Islamic Education and Social Humanities Vol. 6 No. 1 (2026)
Publisher : Ikatan Cendikiawan Ilmu Pendidikan Islam (ICIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52366/edusoshum.v6i1.311

Abstract

The development of digital technology encourages the implementation of Distance Learning (PJJ), but the practice still faces pedagogical and ethical challenges and is often understood as a purely modern phenomenon. In fact, the Islamic scientific tradition has recognized the transmission of knowledge through intermediary media, as reflected in the hadith about the scientific interaction between Marwān bin al-Ḥakam and Zayd bin Thābit. This research aims to analyze the relevance of the tarbawi hadith in building the conceptual framework of PJJ in the digital era. The research uses a literature study method with a qualitative-descriptive approach. Primary data is sourced from Al-Muwaṭṭa' by Imam Mālik and Islamic educational literature, while secondary data is obtained from contemporary digital learning studies. The analysis was carried out through content analysis to identify tarbawi values that are relevant to the characteristics of PJJ. The results of the study show that the hadith contains the principles of scientific trust, information verification, communication manners, message documentation, and flexibility of learning methods. These findings confirm that PJJ has historical roots in Islamic traditions and can be developed as an effective, ethical, and spiritually valuable digital learning model. 
Co-Authors Aborneo, Newsem Danuarta, Daniel Izuddin, Azmi Muhammad Ifan Rifani Ihsan Nitoqoin, Dzatan Nugroho, Ferry Nuraini, Aisyah Rochmah Tazkiyyah, Iffatut