Decision support system as an element of web based integrated pest control on cabbage plants

Wardhani, Ni Wayan Surya, Lestantyo, Prayudi and Rahmi, Nur Silviyah (2023) Decision support system as an element of web based integrated pest control on cabbage plants. Presented at International Conference on SDGs and Bibliometric Studies (ICoSBi 2023), October 3, 2023, Surabaya.

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Abstract

Cabbage leaves are consumed as a healthy vegetable but the plant is very susceptible to attack by leaf caterpillars (P. xylostella). The residue from the periodic use of insecticides is very dangerous to human health. Hence Decision Support System (DSS) was developed which can be used as a reference when spraying insecticides is carried out. The system is intended to estimate the cabbage leaf damage based on web-based photo imagery that is used for detecting the percentage of pest attacks so that pesticides are only applied if the damage to the cabbage leaves is detected to be rather severe. Users are required to upload photos of cabbage plants to be detected. This research is carried out through literature studies, theoretical studies, data collection and location surveys of cabbage plant centers, statistical modeling, making a cabbage leaf hole display detection system with photo images, and making packages or libraries for models that have been developed, adding features that make it easier for users to run it. This developed system after passing the development process carries out 100% black box testing works according to the desired requirements. The implementation of pest experts and testing of this system gets an accuracy of about 87%, so the implementation is carried out on users. This developed system after going through the development process is carried out 100% blackbox testing to function according to the desired needs. The implementation of pest experts and testing of this system gets an accuracy of about 87%, so the implementation is carried out by the user. The results of this study have an analysis that can be stored in a database so that the utilization of recording analysis results can be directly stored in the database, can be printed, and can issue results from the Decision Support System for spraying cabbage pests.

Item Type:	Conference (Paper)
Keywords:	DSS; Cabbage Plant; Pest
Subjects:	07 AGRICULTURAL AND VETERINARY SCIENCES > 0701 Agriculture, Land and Farm Management > 070108 Sustainable Agricultural Development 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems 10 TECHNOLOGY > 1001 Agricultural Biotechnology > 100101 Agricultural Biotechnology Diagnostics (incl. Biosensors)
Divisions:	Graduate Schools > Magister Programme > Graduate School of Islamic Education Management
Depositing User:	Prayudi Lestantyo
Date Deposited:	20 Feb 2024 14:29

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