The Simple Additive Weighting(SAW) Method for Selecting Shrimp Types in a Microcontroller and SolarPanel-Based Shrimp Drying Control System
DOI:
https://doi.org/10.32492/jeetech.v7i1.7110Keywords:
Shrimp Decision Method Microcontroller Solar CellAbstract
This study applies the Simple Additive Weighting (SAW) method to select shrimp types in a microcontroller and solar panel-based shrimp drying control system. The aim is to enhance drying efficiency by determining the most suitable shrimp type based on multiple criteria, including moisture content, shrimp size, drying time, temperature, and humidity. The system uses sensors to monitor environmental conditions in real time and a microcontroller to automate the drying process, while solar panels provide a sustainable energy source. The SAW method evaluates each alternative by normalizing criteria values and calculating preference scores to produce a final ranking. the solar panel-based shrimp drying control system provides an efficient and sustainable solution for the drying process. By integrating sensors, a microcontroller, and automatic actuators, the system can maintain optimal temperature, humidity, and airflow. The electrical energy generated from the solar panel reaches a maximum of 90 within 5 hours. Based on the SAW method calculation, the highest value is obtained by rebon shrimp (Acetes Shrimp) as Alternative 5, with a score of 18.16. Meanwhile, the lowest humidity value measured by the sensor is 10.5% RH, indicating that the drying chamber has reached optimal conditions, allowing the shrimp to dry properly without spoilage
References
M. Shofiyullah and S. Muharom, “Microcontroller-BasedAutomatic Clothes Drying System,” Prosiding SNESTIK, 2
[2] C. M. Destin and Y. Asriningtias,“Mobile Apps-Based Decision Support System Using Simple Additive Weighting (SAW)Method,” Sinkron: Jurnal dan Penelitian Teknik Informatika, vol. 7,no. 4, pp. 2794–28
, 2023.[3] J. I. Miano et al., “Optimizing DryingEfficiency Through an IoT-Based Direct Solar Dryer System,” InternationalJournal of Advanced Computer Science and Applications, vol. 14, no. 7, pp.
–240, 2023.[4] A. Martin, A. Andoyo, and W. Widiyanto,“Decision Support System for Scholarship Admission Using Simple AdditiveWeighting (SAW) Method,” Asia Information System Journal, vol. 3, no.
, pp.49–56, 2024.[5] N. Salsabilla and H. F. Siregar,“Decision Support System for Selection Using SAW Method,” Sistem PendukungKeputusan dengan Aplikasi, vol. 3
, no. 1, pp. 13–24, 2024.[6] A. P. Nebrida, “Arduino-Driven RiceGrain Dryer for Optimal Post-Harvest Management,” Journal of Electrical Systemsand Information Techn
ology, vol. 11, pp. 1–10, 2024.[7]X. Zhang et al., “DryingTechnologies of Novel Food Resources: Progress and Challenges,” F
oodBioscience, vol. 60, 2024.[8] I. T. Bolo, F. E. Neno, and E. D. Ege, “Web-BasedDecision Support System Using SAW Method,” Journal of Computing Innovations andEmerging Technologi
es, vol. 1, no. 2, pp. 43–50, 2025.[9] Derisma, A. Putra, and D. Yendri,“Designing an Automatic Microcontroller-Based Drying Machine of Coffee Beans,”IPTEK The Journal for Technology and
Science, vol. 31, no. 1, pp. 11–17, 2025.[10] H. Supriyono et al., “MultipurposeIncubator Based on Microcontroller System for Drying Applications,” Journal ofApplied Engineering and Technologic
al Science, vol. 7, no. 1, pp. 582–598,2025.[11] S. K. Patel et al., “Development ofIoT-Based Drying System for Food Quality Monitoring and Contr
ol,” Nexus Journalof Advanced Engineering, 2023.[12] I. W. S. Nirawana et al., “Optimizationof Renewable Energy from Solar Panels for Environmental Monitoring UsingArduino,” International Journal of Engineering and Computer S
cienceApplications, vol. 4, no. 1, pp. 29–38, 2025.[13] S. D. Prasetyo et al., “Optimization ofSolar Panel Orientation and Tracking Systems for Standalone PV Applications,”International Journal of Power Electronics
and Drive Systems, vol. 16, no. 4,pp. 2721–2730, 2025.[14] X. Zhang et al., “Drying Technologies ofNovel Food Resources
: Progress and Challenges,” Food Bioscience, vol. 60, 2024.[15] A. Martin, A. Andoyo, and W. Widiyanto,“Decision Support System for Scholarship Admission Using Simple AdditiveWeighting (SAW) Method,” A
sia Information System Journal, vol. 3, no. 1, pp.49–56, 2024.[16] H. Taherdoost, “Analysis of SimpleAdditive Weighting Method (SAW) as a Multi-Attribute Decision-Making Technique:A Step-by-Step Guide,” Journal of Manageme
nt Science & EngineeringResearch, vol. 6, no. 1, pp. 21–24, 2023,[17] E. Simanungkalit, J. S. Tarigan, D. C. Sari, and A. S.Hasibuan, “Implementation of Simple Additive Weighting (SAW) Method in DecisionSupport System to Determine the Best University in Medan,” InternationalJournal
of Research in Vocational Studies, vol. 2, no. 4, pp. 168–172, 2023[18] W. Widodo, S. Siswaya, and S. S.Nugraha, “Decision Support System for Determining Exemplary Employees Using theSimple Additive Weighting Method,” Journal
of Electrical Engineering andComputer Sciences, vol. 9, no. 1, 2024RiandyPutratama Nasution (2023). Rancang Bangun Aplikasi Sistem Pendukung KeputusanKenaikan Jabatan Pegawai Dengan Menggunakan Metode Multi Criteria DecisionMaking (MCDM). Bulletin of Info
rmation Technology (BIT)Vol 4, No 2, September2023, Hal 391-399[19] Tijaniyah (2024). SimpleAdditive Weighting (SAW) Method for Selecting Types of Street Lighting Based onPhotovoltaic Systems. JEETech. Vol. 5, No. 2, Tahun 202
Journal Of ElectricalEngineering And Technology. Hal 134-144
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