Abstract

Palm oil is one of the plantations that are often attacked by disease. The disease of this planting plants isspread rapidly, so it must be in the culprit. To know the oil palm plant disease or not to be diagnosed tothe symptoms found in the field. At PT Andalan Alam Sumatra there are still many obstacles in perosesdiagnosis of oil palm disease, while the constraint that occurs is the lack of knowledge of employees ofpalm oil disease, still need help from plantation managers in diagnosing disease. Peroses diagnostics willbe hampered when plantation managers are not in place or being out of service, this also greatly burdenthe work of a planter manager. Because of peroses peroses diagnosis of palm oil disease disease perosesdisease prevention also become obstructed. As a result, palm oil disease spreads and disrupts theproductivity of oil palms, causing death in palm oil. Therefore it is necessary media that can helpovercome this as for medianya system of plant disease diagnosis by applying Forward Chaining method.This expert system of plant disease diagnosis using object-based modeling techniques to describe theanalysis and system design, namely in the form of use case diagrams, class diagrams, and activitydiagrams. The output of this research is the design of prototype system Analysis And Design ExpertSystem Diagnosis Disease Palm Plant At PT. Andalan Alam Sumatra With Forward Chaining Method

Highlights

  • of the plantations that are often attacked by disease

  • so it must be in the culprit

  • to the symptoms found in the field

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Summary

Penelitian Sebelumnya

Penelitian sejenis yang sudah ada adalah penelitian yang dilakukan oleh Prawidya Destarianto, Erni Yudaningtyas, Sholeh Hadi Pramono pada tahun 2013 yang tertuang pada Jurnal Sarjana Teknik Informasi Vol 1 No 1 dengan judul “Penerapan Metode Inference Tree dan Forward Chaining dalam Sistem Pakar Diagnosis Hama dan Penyakit Kedelai Edamame Berdasarkan Gejala Kerusakannya”. Dan dari penelitian yang dilakukan oleh Prawidya Destarianto, Erni Yudaningtyas, Sholeh Hadi Pramono tersebut dapat disimpulkan bahwa penelitiannya menghasilkan sistem pakar diagnosa tanaman kedelai edamame berdasarkan gejala kerusakannya beserta cara penanggulangannya, Penelitian yang penulis lakukan memiliki relevansi dengan penelitian di atas, adalah Penelitian samasama mengangkat permasalahan mengenai analisa dan perancangan sistem pakar diagnosa penyakit tanaman perkebunan. Dan dari penelitian yang dilakukan oleh Ardhini Warih Utami dan Ricco Shehelmiaji Putra tersebut dapat disimpulkan bahwa penelitiannya menghasilkan sebuah rancangan Sistem Pakar Identifikasi penyakit tanaman Bawang Merah. Andalan Alam Sumatra dan untuk memberikan gambaran dan rancang bangun yang jelas kepada programmer adalah sebagai berikut : 4.3.1 Diagram Use Case Berdasarkan asumsi yang digunakan dapat digambarkan diagram use case Sistem Electronik Medical Record (EMR) Berbasis Web Pada Klinik Mata Kambang adalah sebagai berikut : Gambar 4. Adapun tampilan sistem pakar diagnosa penyakit tanaman sawit pada PT Andalan Alam Sumatra dapat dilihat sebagai berikut :

Tampilan Halaman Ubah Password
Tampilan Halaman Utama Sistem
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