Rancang Bangun Alat Pendeteksi Keaslian Batu Bacan Doko Berbasis Mikrokontroler ATMega2560
DOI:
https://doi.org/10.59039/sikomtia.v1i3.20Keywords:
Bacan Doko Stone, Authenticity Detector, Microcontroller, Color Sensor, Light IntensityAbstract
This research designed and developed a tool to detect the authenticity of Bacan Doko. The development of this tool uses TCS3200 sensor components as a detection of color variations in stones, BH1750 sensors to measure light intensity, and LCD1602 to display information on stone detection results visually. This study aims to overcome the problem of identifying the authenticity of Bacan Doko stones which are often difficult to detect accurately by ordinary people who do not understand the world of gemology, which results in the existence of fake stones on the market. The presence of this tool provides innovation in the world of gemology by utilizing microcontroller and sensor technology to overcome the authentication problem of Bacan Doko stone accurately, and support the integrity of the gemstone market. The development of data processing algorithms is carried out to analyze and process information received from input values on sensors. The detection tool provides good results to recognize and distinguish genuine Bacan Doko stones based on the color characteristics of the sensor identification results TCS3200 taking into account the light intensity measured by the BH1750 sensor and information can be displayed clearly through the LCD screen. The development of this tool successfully proved its effectiveness in identifying the authenticity of Bacan Doko stone. This tool can be a reliable solution for traders and gemstone observers in ensuring the authenticity of Bacan Doko.
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References
K. Suhaila, “Community Dynamics of Tanjung Obit Village , the Bacan Island , South Halmahera : A Social Resilience Perspective,” vol. 7, no. 3, 2021, doi: 10.22146/jpkm.49267.
X. Yu et al., “Overview of Gemstone Resources in China,” 2021.
Z. Xiao, K. Mehta, P. Arora, and G. Pan, “Design and Implementation of Crop Automatic Diagnosis and Treatment System Based on Internet of Things Design and Implementation of Crop Automatic Diagnosis and Treatment System Based on Internet of Things,” 2021, doi: 10.1088/1742-6596/1883/1/012062.
B. H. Y. Chow and C. C. Reyes-Aldasoro, “Automatic gemstone classification using computer vision,” Minerals, vol. 12, no. 1, p. 60, 2021.
F. M. Rahalim, J. Jamaludin, and S. N. RaisiN, “Non-invasive Grading Technique For Ruby Gemstone Using Charge-coupled Device (CCD),” ASEAN Eng. J., 2023.
S. Sinkevičius, P. Valdespino, and U. S. Lamas, “Automatic inclusion detection in rough ruby by minimum uniform quantization method,” in 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017, pp. 253–257.
F. M. Rahalim et al., “An Application of Charge-Coupled Device (CCD) Tomography System for Gemological Industry-A Review,” Enabling Ind. 4.0 through Adv. Mechatronics Sel. Artic. from iM3F 2021, Malaysia, pp. 31–41, 2022.
A. K. Laia and M. T. Kurnia, “Perancangan Dan Pembuatan Alat Pengendali Pencahayaan Akuarium Berbasis Mikrokontroler,” 2022.
A. U. Bani, S. Damayanti, and F. Nugroho, “Design To Build Prototype Of Atmega328 Microcontroller-Based Automatic Water Tub Filling Tool,” J. Math. Technol., vol. 1, no. 1, pp. 43–52, 2022.
D. Agam, A. U. Bani, and F. Nugroho, “Design and Build a Strength Recorder Soil Using Arduino Soil Moisture Sensor,” J. Eng. Technol. Comput., vol. 1, no. 3, pp. 126–132, 2022.
A. U. Bani, F. Nugroho, and J. K. P. Marunduri, “Design And Prototyping Of Arduino Microcontroller-Based Vacuum Sucking Tools,” J. Math. Technol., vol. 1, no. 1, pp. 29–33, 2022.
A. Hidayatulloh, A. U. Bani, and F. Nugroho, “Design A Bird Midge Tool Using Arduino-Based Laser Sensors,” J. Math. Technol., vol. 1, no. 1, pp. 1–7, 2022.
M. Andi, A. U. Bani, and F. Nugroho, “Design And Manufacture Of Automated Home Lighting Regulatory Devices With Iteaduino Microcontroller Atmega 328p-Based LDR,” J. Math. Technol., vol. 1, no. 1, pp. 34–42, 2022.
A. U. Bani, F. Nugroho, and A. T. Arsyendo, “Design And Manufacture Of Tools Automatic Feeding And Drinking In Farm Chickens Arduino Microcontroller-Based,” J. Math. Technol., vol. 1, no. 1, pp. 8–16, 2022.
E. Diener, R. Northcott, M. J. Zyphur, and S. G. West, “Beyond experiments,” Perspect. Psychol. Sci., vol. 17, no. 4, pp. 1101–1119, 2022.
S. T. Leatherdale, “Natural experiment methodology for research: a review of how different methods can support real-world research,” Int. J. Soc. Res. Methodol., vol. 22, no. 1, pp. 19–35, 2019.
C. Lipps, A. Weinand, D. Krummacker, C. Fischer, and H. D. Schotten, “Proof of concept for IoT device authentication based on SRAM PUFs using ATMEGA 2560-MCU,” in 2018 1st International Conference on Data Intelligence and Security (ICDIS), 2018, pp. 36–42.
A. S. Ismailov, Z. B. Jo‘Rayev, and others, “Study of arduino microcontroller board,” Sci. Educ., vol. 3, no. 3, pp. 172–179, 2022.
Nugroho, F., & Bani, A. U. (2023). Pemahaman Dasar Metodologi Penelitian (1st ed.). Deepublish.
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