TY  - THES
N1  - Ir. Dwi Agustina Kurniawati, S. T., M.Eng., Ph.D, IPM, ASEAN Eng.
ID  - digilib76872
UR  - https://digilib.uin-suka.ac.id/id/eprint/76872/
A1  - R. Rully Mahendra, NIM.: 22106060032
Y1  - 2026/05/20/
N2  - 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.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Bakery
KW  -  Fluktuasi Permintaan
KW  -  Ketidakpastian Data
KW  -  Perencanaan
Produksi
KW  -  Sistem Inferensi Fuzzy
KW  -  Sistem Pendukung Keputusan
M1  - skripsi
TI  - PENGEMBANGAN APLIKASI PERENCANAAN PRODUKSI PRODUK BAKERY DENGAN MENERAPKAN SISTEM INFERENSI FUZZY METODE MAMDANI, SUGENO, DAN TSUKAMOTO (STUDI KASUS: CV CAHAYA CIPTA MAKMUR)
AV  - restricted
EP  - 133
ER  -