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All Journal Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Merpati JUSTIN (Jurnal Sistem dan Teknologi Informasi) Nuansa Informatika
Mohamad Nurkamal Fauzan
Universitas Logistik dan Bisnis Internasional
Humanities Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : Nuansa Informatika

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IoT and Water Consumption Forecasting: A Green Accounting Study at a Coffee Shop in Cimahi: IoT dan Peramalan Konsumsi Air: Studi Akuntansi Hijau di Kedai Kopi Cimahi Mohamad Nurkamal Fauzan; Riani Tanjung
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.366

Abstract

Uncontrolled water consumption is a serious challenge, especially in small businesses like coffee shops. Excessive water use can lead to waste and financial losses. To address this issue, IoT (Internet of Things) technology and data analysis are applied to monitor and predict water consumption. In this study, predictive models such as Random Forest, XGBoost, and LSTM are used to analyze water consumption data. The results show that Random Forest has the best performance with the lowest prediction error and the highest R-squared value, indicating this model’s capability to explain nearly all the variance in water consumption data. Random Forest and XGBoost perform well as they can handle data with non linear features and complex interactions, while LSTM's lower performance is likely due to limited data and suboptimal hyperparameter tuning. The implementation of green accounting in this system enables effective tracking of water consumption costs. Suggested improvements include further exploration of LSTM hyperparameters, the use of ensemble techniques, and cost sensitivity analysis for water-saving policy decisions. This model is expected to provide an effective water saving solution for coffee shop owners.
Co-Authors Faris Muhammad Ihsan Riani Tanjung Riani Tanjung Riani Tanjung Yohanes Casmadi