論文詳細（JEMIT 査読論文） #
| Attribute | Details |
|---|---|
| 著者一覧 | Riki Muhammad, Isroni, T. P. Wisesa, T. S. Syahputra |
| 掲載誌・ジャーナル | Journal of Energy, Material, and Instrumentation Technology (JEMIT) |
| 巻号・発行年 | Vol. 6, No. 1, pp. 24–33, 2025年1月 |
| 出版社・発行元 | Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung |
| DOI 公式リンク | 10.23960/jemit.343 |
| 公式論文ページ | https://jemit.fmipa.unila.ac.id/index.php/jurnal/article/view/343 |
論文要旨（公式アブストラクト） #
“Accurate honey type authentication is a significant challenge for small-scale producers, as conventional methods are often costly and impractical. This study aims to design and develop a low-cost honey classification prototype by integrating the AS7265X multispectral sensor with Internet of Things (IoT) technology and machine learning. Spectral data from 18 channels of various Indonesian honey types were acquired using the AS7265X sensor and analyzed exploratively using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The data were then normalized and used to train Artificial Neural Network (ANN), Random Forest (RF), and Support Vector Machine (SVM) classification models. An ESP32-based IoT system was developed for real-time monitoring and cloud data storage. The results demonstrate that AS7265X spectral data effectively differentiate honey types, with the ANN model achieving 94.05% accuracy, supported by a responsive IoT system (1–2 seconds) for monitoring and centralized storage.”
主な技術・研究成果 #
- AS7265X 18チャンネル分光計測： 紫外 (UV) から可視光 (VIS)、近赤外 (NIR) に至る18波長の分光スペクトルデータを高速取得。
- 最高精度 ANNモデル (94.05%)： 探索的データ分析（PCAおよびLDA）を実施後、ANN、RF、SVMの各分類器を検証し、ANNが 精度 94.05% を記録。
- 高速IoTクラウド監視システム： ESP32マイクロコントローラーに基づく 1〜2秒 レスポンスの遠隔監視および一元クラウドデータ格納システムを構築。
推奨引用（BibTeX Citation） #
@article{muhammad2025development,
title={Development of a Portable Low-Cost Multispectral Sensor Integrated with IoT and Machine Learning for Classifying Honey Types},
author={Muhammad, Riki and Isroni, Isroni and Wisesa, T. P. and Syahputra, T. S.},
journal={Journal of Energy, Material, and Instrumentation Technology (JEMIT)},
volume={6},
number={1},
pages={24--33},
year={2025},
doi={10.23960/jemit.343},
publisher={University of Lampung}
}