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Journal : Journal of System and Computer Engineering

Decision Support System for Aren Sugar Aid Using SMART Method anas, anas; Amran, Rozalina; Yunendar, Wakhid
Journal of System and Computer Engineering Vol 6 No 2 (2025): JSCE: April 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i2.1876

Abstract

Sugar palm (Arenga pinnata Merr) is a type of palm plant that is widely found in Indonesia. This plant is able to produce sap liquid from its cut flower bunches. Chemically, sugar palm sap contains 87.2% water, 12.7% carbohydrates, 0.24% ash, 0.2% protein, and 0.02% fat. Simple Multi Attribute Rating Technique is a multi-attribute decision-making method used to assist decision makers in determining several alternative choices. Each alternative is arranged based on a number of attributes, where each attribute has a certain value that is assessed on a certain scale. In addition, each attribute is given a weight that indicates its level of importance compared to other attributes. The application of a Decision Support System with this method can produce more effective, fast, and accurate decisions in the initial selection process for recipients of palm sugar production assistance. The reliability of this system is proven through testing using the White Box Testing and Basis Path Testing methods, which produce a V(G) value of 9.
Development of an Internet of Things (IoT) System for Real-Time Monitoring and Control of Moringa Powder Processing. AMRAN, ROZALINA
Journal of System and Computer Engineering Vol 6 No 4 (2025): JSCE: October 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i4.2262

Abstract

Moringa is a widely recognized food plant in Indonesia due to its numerous health benefits and availability across various regions. One of its processed forms is moringa leaf powder. However, the production process is relatively challenging, primarily due to limited human resources and the time-consuming nature of manual processing. With advancements in technology, these challenges can be addressed through the application of Internet of Things (IoT) systems in the production process. This study aims to design and implement an IoT-based monitoring and control information system using the waterfall development method, which includes the stages of requirements analysis, system design, implementation, testing, and evaluation. The resulting system integrates various sensors, devices, and a NodeMCU microcontroller to automate the production process. The system is connected to the Firebase platform and an Android application, enabling efficient monitoring and control. The primary components used include a DHT-11 temperature and humidity sensor, ultrasonic sensor, Loadcell sensor, MG996 servo motor, adapter, blender, and heating box. The results demonstrate that this system can serve as a modern, technology-based model for efficient moringa plant processing.