Development of a Local Medicinal Plant Application in the Koh Kaew Municipal Community Forest Using Decision Tree Classification Technique
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Abstract
This research aimed to: 1) study and collect data on local medicinal plants in Koh Kaew Municipality community forest; 2) design and develop a local medicinal plant application for Koh Kaew Municipality community forest; 3) evaluate the efficiency of the local medicinal plant application for Koh Kaew Municipality community forest; and 4) assess user satisfaction with the local medicinal plant application for Koh Kaew Municipality community forest. The sample groups consisted of: 1) 6 experts in information technology and herbal medicine, and 2) 30 users. The research instruments included: 1) the local medicinal plant application for Koh Kaew Municipality community forest; 2) an efficiency evaluation form for the local medicinal plant application for Koh Kaew Municipality community forest; and 3) a satisfaction evaluation form for the local medicinal plant application for Koh Kaew Municipality community forest. Statistics used in the research included mean and standard deviation. The research findings revealed that: 1) From studying and collecting data on local medicinal plants in Koh Kaew Municipality community forest, medicinal plants were classified from a total of 57 species in 29 families, with 35 species having medicinal properties. The medicinal plants were categorized into 8 main groups according to their therapeutic properties using decision tree classification techniques with the C4.5 algorithm. 2) The development of the local medicinal plant application for Koh Kaew Municipality community forest featured a user-friendly interface design with three main functions: (1) symptom identification, (2) search function, and (3) herbal details display. 3) The efficiency evaluation results by experts showed that the application quality was at a good level ( = 3.98, SD. = 0.70). When considering individual aspects, usability and design were at a good level (
= 4.17, SD. = 0.63), followed by content and accuracy at a good level (
= 3.94, SD. = 0.75), and benefits and application at a good level (
= 3.83, SD. = 0.73), respectively. 4) The satisfaction assessment results showed that users were highly satisfied with the local medicinal plant application overall (
= 4.20, SD. = 0.66). When considering each aspect, users were most satisfied with the benefits and application (
= 4.36,SD. = 0.57), followed by application usability (
= 4.24, SD. = 0.66), design and display (
= 4.12,SD.= 0.67), and content and information presentation (
= 4.07, SD. = 0.72), respectively.
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