eprintid: 8411
rev_number: 9
eprint_status: archive
userid: 2097
dir: disk0/00/00/84/11
datestamp: 2024-05-16 01:30:34
lastmod: 2024-05-16 01:30:34
status_changed: 2024-05-16 01:30:34
type: thesis
metadata_visibility: show
contact_email: repository@staff.ukdw.ac.id
creators_name: , Reggy Charles Imanuel Lasut
creators_id: 72190343
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: Oslan, Yetli
contributors_name: Wibowo, Argo
contributors_id: 0503017001
contributors_id: 0516118902
title: PROGRAM BANTU PERKIRAAN HASIL PANEN TANAMAN JAGUNG BERBASIS WEB STUDI KASUS : KELOMPOK TANI MUTIARA DESA MAUNGGAL KARYA, KECAMATAN RANDANGAN
ispublished: pub
subjects: QA76
subjects: T1
divisions: sist_informasi
full_text_status: restricted
keywords: Logika Fuzzy, Metode Fuzzy Tsukamoto, MAPE.
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.
date: 2024-03-09
date_type: published
institution: Universitas Kristen Duta Wacana
department: Sistem Informasi
thesis_type: skripsi
thesis_name: other
funders: reggy.lasut@gmail.com
citation:   Reggy Charles Imanuel Lasut  (2024) PROGRAM BANTU PERKIRAAN HASIL PANEN TANAMAN JAGUNG BERBASIS WEB STUDI KASUS : KELOMPOK TANI MUTIARA DESA MAUNGGAL KARYA, KECAMATAN RANDANGAN.  Final Year Projects (S1) thesis, Universitas Kristen Duta Wacana.   
document_url: https://katalog.ukdw.ac.id/8411/1/72190343_bab2-sd-bab4_lampiran.pdf
document_url: https://katalog.ukdw.ac.id/8411/2/72190343_bab1_bab5_daftarpustaka.pdf