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All Journal Jurnal Ilmiah Sinus Jurnal Ilmu Manajemen Retail Universitas Muhammadiyah Sukabumi (JIMAT UMMI)
Aswarulloh, Haris
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Computer Science & IT Economics, Econometrics & Finance

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Penggunaan Multivariat Model Bidirectional LSTM untuk Prediksi Cuaca: Optimalisasi Waktu Tanam Padi Petani Kabupaten Garut Aswarulloh, Haris; Shiddieq, Diqy Fakhrun; Nurhayati, Dwi
Jurnal Ilmiah SINUS Vol 23, No 1 (2025): Vol. 23 No. 1, Januari 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i1.891

Abstract

The unpredictability of climate conditions poses significant challenges for agricultural activities, particularly in Garut Regency, where traditional knowledge often guides planting schedules. This study aims to optimize rice planting schedules by employing a Bidirectional Long Short-Term Memory (BiLSTM) model for multivariate time series forecasting of weather parameters. The research utilized meteorological data from BMKG, including average temperature, relative humidity, rainfall, and sunshine duration, which were preprocessed to ensure data quality and normalized for modeling. The BiLSTM model demonstrated superior performance in predicting key variables such as temperature and humidity, achieving low Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). However, higher errors were observed for rainfall and sunshine duration due to the complex nature of these variables. The study successfully identified optimal planting periods by aligning weather predictions with criteria for rice cultivation, providing a comprehensive calendar to assist farmers. These findings emphasize the potential of advanced machine learning models in mitigating climate-related agricultural risks and improving productivity. Future studies may focus on integrating additional meteorological factors to enhance prediction accuracy.
PENGGUNAAN MEDIA SOSIAL SEBAGAI UPAYA PEMBANGUNAN SDM DI INDONESIA Rizkia, Agnia Suci; Haq, Ihya Dliyaul; Aswarulloh, Haris; Taofiqurrohman, Hendra; Fahreza Aulia, Muhammad
Jurnal Ilmu Manajemen Retail Universitas Muhammadiyah Sukabumi Vol. 3 No. 2 (2022): Jurnal Ilmu Manajemen Retail (JIMAT) Universitas Muhammadiyah Sukabumi
Publisher : Fakultas Ekonomi Universitas Muhammadiyah Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jimat.v3i2.1729

Abstract

Disruptive technology is an event that helps many people also bothering or harming some people with the help of technology. With the help of the digital observation method, we found a way to help people affected by the disruption, namely by using social media to spread useful information and knowledge. With these efforts, it is hoped that the community can take advantage of and enjoy the efforts that we provide
Co-Authors Dwi Nurhayati, Dwi Fahreza Aulia, Muhammad Haq, Ihya Dliyaul Rizkia, Agnia Suci Shiddieq, Diqy Fakhrun Taofiqurrohman, Hendra