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Penerapan Sistem Pakar pada Diagnosa Penyakit Tanaman Karet dengan Metode Forward Chaining (FC) Nazira Ayu Ananda; Eka Irawan; Muhammad Ridwan Lubis; M Safii
Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The study aimed to analyze rubber plant diseases using expert system techniques. Sources of data obtained from PT. Bridgestone Jl. Dolok Merangir Satu, Simalungun Regency by conducting observations and interviews with PT. Bridgestone. The presence of several diseases in rubber plants can make PT. Bridgestone incurs losses, so it needs proper handling. The solution given is the Forward Chaining (FC) method, which is part of an expert system so that a more efficient solution is to detect diseases in rubber plants. The results of the study indicate that the analysis can be carried out using the FC method in the diagnosis of rubber plants by implementing it into a web-based programming language so that the company can detect rubber plant diseases based on the symptoms given and find out solutions to overcome diseases in rubber plants.
Rekomendasi Pemilihan Peserta Lomba Kompetensi Siswa (LKS) Tingkat Kejuruan Dengan Teknik Promethee Andi Sahputra; Eka Irawan; Harly Okprana
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Participants in the student competency competition (LKS) of the RK Bintang Timur Pematangsiantar Private Vocational School were conducted manually by collecting students, counting and comparing with supporting data such as competency report cards by productive teachers. Therefore the RK Bintang Timur Pematangsiantar Private Vocational School needs to overcome problems in selecting students as participants in the student competency competition to be more effective and on target. The Promethee algorithm is used in order of order or priority in an efficient and simple multi-criteria analysis. Based on the research data sample, the highest score was obtained in alternative A1 with a value of 0.406 with 6 criteria, namely academic value, number of absences, student council scores, attitude, craft and tidiness. Then proceed to the matrix normalization process which produces the outflow, inflow and net flow values ??used in the ranking process