PROGRAM BANTU PERKIRAAN HASIL PANEN TANAMAN JAGUNG BERBASIS WEB STUDI KASUS : KELOMPOK TANI MUTIARA DESA MAUNGGAL KARYA, KECAMATAN RANDANGAN

Reggy Charles Imanuel Lasut (2024) PROGRAM BANTU PERKIRAAN HASIL PANEN TANAMAN JAGUNG BERBASIS WEB STUDI KASUS : KELOMPOK TANI MUTIARA DESA MAUNGGAL KARYA, KECAMATAN RANDANGAN. Bachelor thesis, Universitas Kristen Duta Wacana.

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Abstract

This thesis is titled “Web-Based Corn Crop Yield Estimation Support Program." The background of this research is the problems faced by the Mutiara Farmer Group, Manunggal Karya Village, Randangan District. Most members of the farmer group depend on their lives as corn farmers, but there are several faktors that affect the production of corn crop yields, such as land area, number of seeds, type of seeds, fertilizer, and pests. In addition, the lack of planning and preparedness in managing corn crops also becomes a problem for farmers’ income. The research method used is quantitative, using data from the farmer group. In this research, a web-based corn crop yield estimation support program was developed using Fuzzy logic with the Fuzzy Tsukamoto method. This program is expected to solve the problems in the Mutiara farmer group, so they can plan corn planting with the expected results. From the research results, it can be concluded that the system that has been built is able to assist farmers in predicting and estimating crop yields. Experiments have been conducted twice using different variables and obtained different MAPE values. From the research results, the predicted harvest results were obtained using Fuzzy Tsukamoto with a MAPE (Mean Absolute Percentage Error) value of 15.92%, which means the smaller the MAPE value, the more accurate the prediction results.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Logika Fuzzy, Metode Fuzzy Tsukamoto, MAPE.
Subjects: Q Ilmu Pengetahuan > QA Matematika > QA76 Perangkat Lunak (Software) Komputer
T Teknologi > T Teknologi (Umum)
Divisions: Fakultas Teknologi Informasi > Prodi Sistem Informasi
Depositing User: Yoan Fenie Christina Khouw
Date Deposited: 16 May 2024 01:30
Last Modified: 16 May 2024 01:30
URI: http://katalog.ukdw.ac.id/id/eprint/8411

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