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All Journal Jurnal Math-UMB.EDU NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Akademika Jurnal Teknologi Pendidikan Journal of Statistics and Data Science
Pratama, Apriliyanus Rakhmadi
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences Other

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Effectiveness of Using Audio Media in Improving Memorizing Short Surahs of the al-Quran Podungge , Mariaty; Hidayah, Annisa Imanul; Pratama, Apriliyanus Rakhmadi
NUSANTARA Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2023): Februari : Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v3i1.2923

Abstract

This study examines the effectiveness of using audio media in improving the memorization of short surahs. This research employs a qualitative descriptive approach with data collection methods including observation, interviews, and documentation. The data sources consist of Islamic Education teachers, classroom teachers, and 33 students. Data analysis techniques were conducted through (1) data reduction, (2) data presentation, and (3) conclusion drawing. Data validity was checked through four steps: 1) Credibility, 2) Dependability, 3) Confirmability, and 4) Triangulation. The results show that the effectiveness of using audio media in improving the memorization of short surahs at Madrasah Tsanawiyah An-Nur Monano Gorontalo is significant. Teachers were able to provide good short surah memorization materials to students, enabling them to memorize the surahs perfectly and fluently. Additionally, teachers were able to impart the understanding to students that memorizing short surahs is beneficial. Besides the fact that many students liked the media, they felt helped in repeatedly reviewing the memorized short surahs fluently and correctly. Thus, audio media is considered effective in facilitating the memorization of short surahs, with a high degree of effectiveness, as evidenced by the following grades: A- 36.36%, B+ 54.54%, C 3.03%, and 6.06%.
PERBANDINGAN METODE ARIMA DENGAN FUZZY TIME SERIES MODEL CHEN PADA PERAMALAN CURAH HUJAN DI KOTA BENGKULU Pratama, Apriliyanus Rakhmadi; Firdaus
Jurnal Math-UMB.EDU Vol. 11 No. 3 (2024): JULY
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/mathumbedu.v11i3.6480

Abstract

Penelitian ini mengeksplorasi dan membandingkan efektivitas dua metode peramalan curah hujan yang berbeda, yaitu Fuzzy Time Series (FTS) model Chen dan Auto Regressive Integrated Moving Average (ARIMA), dalam konteks data tanpa pola musiman yang jelas. Dalam perbandingan ini, dilakukan evaluasi kinerja kedua metode berdasarkan dua metrik utama: Mean Absolute Percentage Error (MAPE) dan Mean Squared Error (MSE). Menariknya, meskipun kedua metode menunjukkan penyimpangan dalam prediksi, model ARIMA (4,1,0) unggul dengan nilai MAPE sebesar 106.5033 dan MSE sebesar 20,085.69, dibandingkan dengan model FTS yang mencatat MAPE sebesar 145.408 dan MSE sebesar 21,000.92. Hasil ini menunjukkan keunggulan ARIMA dalam menghadapi data curah hujan yang kompleks. Model ARIMA lebih baik dalam akurasi dan keandalan prediksi yang dapat menjadi alat yang lebih disukai oleh para praktisi. Sementara model FTS tetap dapat digunakan pada situasi tertentu walaupun tidak lebih baik dari model ARIMA. Kata Kunci: Forecasting, Rainfall, Fuzzy Time Series, Model Chen, ARIMA
Development of the Sandro Application (Statistics on Android) as a Learning Media in the Educational Statistics Pratama, Apriliyanus Rakhmadi; Masenge, Anugerah Daeng; Yasin, Moh Fahri
Akademika Vol 13 No 02 (2024): Vol 13 No 01 (2024): Akademika : Jurnal Teknologi Pendidikan
Publisher : Akademika : Jurnal Teknologi Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34005/ak.v13i02.4284

Abstract

This study focuses on the development of an Android-based learning application to enhance student interest and understanding in the course of Educational Statistics at IAIN Sultan Amai Gorontalo. Using a research and development (R&D) approach, the study includes the stages of needs analysis, application design, material development, implementation, and evaluation. The evaluation results from subject matter experts show that the presented material aligns with curriculum standards and learning needs. Media experts’ validation indicates that the application has an attractive and functional interface, although some improvements are required to enhance the practicality and efficiency of the application. User trials (students) yielded positive responses, with an average score of 81,17%, indicating that most users found the application effective in supporting the Educational Statistics course. This application development significantly contributes to creating relevant and engaging learning media, providing a solution to the low student interest in this course.
Price Prediction Using ARIMA Model of Monthly Closing Price of Bitcoin Pratama, Apriliyanus Rakhmadi
Journal of Statistics and Data Science Vol. 1 No. 2 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i2.22689

Abstract

The rising of bitcoin’s user as a digital currency and investments causing an instability and an uncertainty in price movement and increasing the risk of trading, therefore in this study we try to forecast the future value of bitcoin price using ARIMA Models. 2 candidate models are selected by the lowest value of AIC and using the performance indicators ME, RSME, MAE, MPE, and MAPE conclude ARIMA (1,1,0) are the best ARIMA model, then the next 5 months future price forecasted using the best model. While ARIMA (1,1,0) is the best model, the model failed to follow price movement as shown in the forecasted price.
Co-Authors Firdaus Hidayah, Annisa Imanul Masenge, Anugerah Daeng Podungge , Mariaty Yasin, Moh Fahri