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All Journal Jurnal Informatika Jurnal Buana Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jurnal Pendidikan Akuntansi dan Keuangan Nuansa Informatika Land Journal Competitive Jurnal Informatika Polinema (JIP)
Fauzan, Mohamad Nurkamal
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Transportation Other

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Journal : Nuansa Informatika

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LITERATUR REVIEW AUGMENTED REALITY SEBAGAI MEDIA PROMOSI DENGAN METODE MARKER BASED TRACKING Fauzan, Mohamad Nurkamal; Kautsar, Muhammad
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.16

Abstract

Augmented Reality (AR) is a technology that combines real-world objects with virtual or digital objects in a real-world setting. Real and virtual objects are merged using appropriate technologies, and interactions occur through specific tools and devices. The use of AR in solving everyday life problems has expanded across various fields, including advertising. Brochures are one of the print media that can be used for advertising and integrated with augmented reality technology. The use of augmented reality technology in brochures can provide a new solution in brochure creation, making them more creative, engaging, and accessible to a wider audience. It offers complete, clear, and easily accessible information compared to traditional brochures
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 Fauzan, Mohamad Nurkamal; Tanjung, Riani
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 Aji Gautama Putrada Fadillah, Algies Rifkha Fansha, Difa Al Hamidin, Dini Ikke Dian Oktaviani Muhammad Kautsar, Muhammad Mulyanti, Khairaningrum Nur Alamsyah, Nur Setyawan, Muhammad Yusril Helmi shauqie, Shahieza Shauqie, Shahieza Alfadia Tanjung, Riani Widia Resdiana