SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN BAWANG MERAH MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR (Studi Kasus : Di Kecamatan Lambu Kabupaten Bima Provinsi NTB)

Safitri Mahrani Dewi, NIM.: 18106050006 (2023) SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN BAWANG MERAH MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR (Studi Kasus : Di Kecamatan Lambu Kabupaten Bima Provinsi NTB). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Shallots are one of the most cultivated agricultural crops in Indonesia, one of which is in the Lambu District, Bima Regency, NTB Province. In addition to having a high economic selling value, the cultivation process is very vulnerable to pests and diseases. This has resulted in a decrease in the quality of farmers' production ahead of the harvest period. The lack of knowledge of farmers in handling which is sometimes inappropriate and incompatible with the pests and diseases that attack, can actually cause new pests and diseases. Therefore, it is necessary to implement an expertise information system as an alternative means of consultation in providing information direction on control solutions to the problems faced. This study aims to assist farmers in early diagnosis of early symptoms caused by onion pests and diseases, so that the treatment carried out is more targeted and optimal. This website-based expert system application uses certainty factor certainty methods and tracing methods in forward chaining inference engines. Based on the test results of the system using manual calculation of certainty factor and output produced by the system, it shows the percentage of disease and certainty factor value equal to the level of accurate confidence. Meanwhile, the results of system functional testing as a knowledge engineer stated 100% agreed and the results of testing the system interface stated 80% agreed. Then for the results of system functional testing conducted by users stated 100% agreed while for interface and system access testing stated 21.6% strongly agreed, 58.3% agreed, 19.5% neutral and 0.8% disagreed. This shows that the results of the design and implementation of the system carried out are appropriate.

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