TY - JOUR
T1 - Application of Mamdani Fuzzy Method in Herbal Soap Production Planning
AU - Santoso, I. H.
AU - Katias, P.
AU - Herlambang, T.
AU - Tafrikan, M.
AU - Oktafianto, K.
AU - Firdaus, A. A.
AU - Arof, H.
N1 - Publisher Copyright:
© 2024 InforMath Publishing Group.
PY - 2024
Y1 - 2024
N2 - Fuzzy logic is a logic that has a value of fuzzyness between true or false. This study discusses the application of the Mamdani fuzzy logic in solving production planning problems based on demand, remains and stock shortages. The variables used for the production of herbal soap are 4 variables, namely 3 input variables which consist of the demand variable, residual variable and shortage variable, and 1 output variable, the production variable. The demand variable consists of 3 fuzzy sets, namely decreasing, fixed and increasing, residual and shortage variables consist of 3 fuzzy sets, namely little, moderate and many, while the production variable consists of 3 fuzzy sets, namely reduced, fixed and added. Therefore, a system is needed to determine the amount of herbal soap production so that there will be no problems. The results of this study aim to apply the Mamdani fuzzy logic method in predicting the amount of herbal soap production based on demand, remains and stock shortage data. Based on the calculations carried out, there were only 8,333% of the data that had actual results. At the same time, the remaining 91.667% are the data that have planned results that are not in accordance with the actual data.
AB - Fuzzy logic is a logic that has a value of fuzzyness between true or false. This study discusses the application of the Mamdani fuzzy logic in solving production planning problems based on demand, remains and stock shortages. The variables used for the production of herbal soap are 4 variables, namely 3 input variables which consist of the demand variable, residual variable and shortage variable, and 1 output variable, the production variable. The demand variable consists of 3 fuzzy sets, namely decreasing, fixed and increasing, residual and shortage variables consist of 3 fuzzy sets, namely little, moderate and many, while the production variable consists of 3 fuzzy sets, namely reduced, fixed and added. Therefore, a system is needed to determine the amount of herbal soap production so that there will be no problems. The results of this study aim to apply the Mamdani fuzzy logic method in predicting the amount of herbal soap production based on demand, remains and stock shortage data. Based on the calculations carried out, there were only 8,333% of the data that had actual results. At the same time, the remaining 91.667% are the data that have planned results that are not in accordance with the actual data.
KW - determination of production quantities
KW - fuzzy inference system
KW - Mamdani fuzzy logic
UR - http://www.scopus.com/inward/record.url?scp=85189469133&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85189469133
SN - 1562-8353
VL - 24
SP - 193
EP - 204
JO - Nonlinear Dynamics and Systems Theory
JF - Nonlinear Dynamics and Systems Theory
IS - 2
ER -