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植物保護資訊系統使用分析及推廣成效

Analysis of Use and Promotional Effectiveness of Plant Protection Information System

摘要


植物保護資訊系統於2018年上線使用,平均每日使用量達1947次。自2019-2020年期間積極推廣教學本系統功能,並進行教學前、後測問卷調查以評估本系統推廣成效。受訪學員的身分有超過80%與農藥有關,經統計分析前、後測答對率並進行成對樣本t檢定,結果顯示經系統教學推廣後,答對率提升16%,達顯著差異(P<0.001),顯示推廣教學有助於提升學員對本系統的認知。於推廣前後進行系統使用者分析,每日登入人數於推廣前約為229人,於推廣後提升為509人,增加了1.2倍,逐年隨系統更新版本,人數呈現上升之趨勢。每日最高平均使用量之系統功能為主搜尋欄,高達961次,其次分別為作物目錄、藥劑檢索及作物查詢功能,顯示「植物保護手冊」及「農藥使用手冊」之使用者成功地轉換至使用本系統。統計關鍵詞的使用狀況並以文字雲表示,最多查詢次數的詞為「水稻」,但將關鍵詞分類後被查詢最多的是殺蟲劑及殺蟎劑。未來將持續加強系統資料使用紀錄分析,並規劃評估是否可藉相關數據分析來推測病蟲害發生之可能性,以提升植物保護資訊系統最大效益。

並列摘要


Following the launch of the Plant Protection Information System (PPIS) in 2018, the mean daily usage is 1946.82 times. To evaluate the effectiveness of our promotion during 2019-2020, we implemented pre- and post-test questionnaires and found that more than 80% of the trainees worked in fields related to pesticides. Statistical analysis of the correct rate of pre-tests and post-tests as well as paired-sample t-test, showed that following promotion courses, the correct rate of the post-test significantly increased by 15.77% (P < 0.001), suggested that the promotion can significantly improve a trainee's understanding of the PPIS. An analysis of the use of the PPIS revealed, the number of daily logins increased 228.98 to 509.33 following promotion, which equates to an increase of 1.22 times. We also found an upward trend year by year and version by version. The system function with the highest daily average usage was the Main Search Bar, which was utilized up to 961.50 times daily, followed by the Index of Crops, Search for Pesticides, and Search for Crops. This indicates that users of the Plant Protection Manual and Pesticide User Manual transferred to this system for information needs. An enumeration of the keywords and presenting the findings as word clouds revealed that the word most searched was "rice". Following the classification of the keywords, the most frequently searched words were "pesticides" and "acaricides". In the future, this system could log a more comprehensive and complete set of data to enhance the maximum value of this system, which could for example be used to predict the possibility of the occurrence of crop pests.

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