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primary topic: PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR)

PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR)
type: Thesis
type: Article
abstract: CV Cahaya Cipta Makmur is a food processing company that offers that offers a variety of bread products as new items marketed to the general public. As newly introduced products, their demand is fluctuating and uncertain. The company implements a make-to-order production system to align production quantities with incoming demand while avoiding waste caused by overproduction. However, based on an analysis of production data from January to March 2026, a discrepancy was found between production targets and actual finished goods, indicating inefficiencies in raw material usage within the company’s production planning. Fuzzy logic was chosen as an approach capable of providing systematic calculations to support production decision-making under conditions of uncertainty and data fluctuation. This study compares three fuzzy methods, namely Mamdani, Sugeno, and Tsukamoto, using historical production data from one of the bread products with the highest demand frequency. The results show that the Mean Absolute Percentage Error (MAPE) values for each method are 19.96% for Mamdani, 2.81% for Sugeno, and 54.85% for Tsukamoto. The Sugeno method yields the lowest MAPE value and is therefore identified as the best method with the highest level of accuracy among the three. Based on these results, the Sugeno method is used as the foundation for developing a decision support system for production planning that can be utilized by the company to determine optimal production quantities. This system takes into account the level of incoming demand as well as the available stock, and is expected to help the company minimize the risk of losses due to unsold products while maximizing the efficiency of raw material usage and the potential profit gained.
date: 2026-05-20
status: published
author list: authors
type: EPrint
type: ThesisEPrint
is part of: repository
has document: PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR) (Text)
has version: PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR) (Text)
has published: PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR) (Text)
subject: 005.36 Software Development / Pengembangan Perangkat Lunak

PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR) (Text)
type: Document
has file: 22106060032_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
has part: 22106060032_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf

PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR) (Text)
type: Document

UIN SUNAN KALIJAGA YOGYAKARTA
type: Organization

FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA
type: Organization

NIM.: 22106060032 R. Rully Mahendra
type: Person
given name: NIM.: 22106060032
family name: R. Rully Mahendra

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primary topic: PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR)

005.36 Software Development / Pengembangan Perangkat Lunak
type: Concept