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Artificial Neural Network-Based Forecasting of Rice Yield Using Environmental and Agricultural Data Priyanto; Muhammad Faisal; Mochamad Imamudin
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.2019

Abstract

This study presents a high-accuracy predictive model for rice production in Indonesia using Artificial Neural Networks (ANN), achieving an R² of 98.11%, Mean Absolute Error (MAE) of 0.0966, and Mean Squared Error (MSE) of 0.0189. Climate variability remains a significant challenge to rice cultivation in regions like Malang City, where unpredictable environmental factors such as rainfall, temperature, and humidity hinder effective crop planning and yield estimation. To address this, we developed a Multilayer Perceptron (MLP)-based ANN model incorporating agro-environmental variables: rainfall, temperature, humidity, harvested area, and production quantity. Historical data from 2009 to 2024 were sourced from the Meteorology, Climatology, and Geophysics Agency (BMKG) and the Central Statistics Agency (BPS). The dataset underwent preprocessing, including cleaning, feature extraction, Z-Score normalization, and partitioning into training and testing sets. The proposed ANN architecture consists of an input layer, three hidden layers, and an output layer for regression tasks. Comparative evaluation against Random Forest, K-Nearest Neighbors, and Support Vector Regression demonstrated the ANN’s superior ability to model complex nonlinear relationships in agricultural data. The results highlight the role of intelligent data-driven systems in enhancing the accuracy of yield forecasting, supporting sustainable agricultural practices, and informing national food security policy.
Patterns and Interpretation of Tafsir Science Mochamad Imamudin
EDUTEC : Journal of Education And Technology Vol. 2 No. 2 (2019): March 2019
Publisher : STAI Miftahul Ula Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/edu.v2i2.26

Abstract

The Qur'an is the revelation of God with the absolute truth that is the source of Islamic teachings. The Qur'an is a holy book for Muslims who give clues to the right path. It serves to provide welfare and happiness for people, both personally and in groups. He was also a place of grievances and outpouring of hearts for those who read it. The Qur'an is like an ocean that never dries its water, its waves never subsides, the riches and treasures that it contains never run out, can be crossed and interrown in various ways, and provide tremendous benefits and impacts for life Human. In his position as Scripture and miracles for the Muslims, the Qur'an is a source of security, motivation, and inspiration, the source of all legal resources that are never dry for the one who imfew it. It contains historical documents that record socio-economic, religious, ideological, political, and cultural conditions of human civilization until the VII-century AD. If that is the case, then the understanding of the verses of the Qur'an through interpretation, having a very large role for the development of the people, guarantees the key term to open the warehouse of the Simsimpani that is buried in the Qur'an. As a living guideline for all ages, and in many aspects of human life, the Qur'an is an open ended scripture to understand, interpret and be offered in the perspective of the interpretation method and the perspective of the dimensions Human life. From here there came the sciences to study the Qur'an from various aspects, including the science of interpretation. This paper will discuss about the science of Tafsir covering its history and development, as well as patterns and methods in interpretation.