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Journal : journal of applied mathematics and modelling

The Use of Sensitivity Analysis to Find Maximum Profit in The Production Of Msme Angga Furniture Using The Simplex Method Dwita Septiani; Iswan Rina; Nurweni Putri; Aulia Oktavia
Journal of Applied Mathematics and Modelling Vol. 1 No. 2 (2025): Journal of Applied Mathematics and Modelling
Publisher : CIB Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64570/jamm.v1i2.36

Abstract

At time progresses, business competition becomes increasingly fierce. This also result in MSME (Micro,small dan Medium Enterprises  from various cities  competing fiercely. There are many MSME's that have emerged, one of which is Angga Furniture MSME which operates in the furniture sector. The aim of this research is to determine the maximum profit obtained using the Simplex Method and continue with Sensitivity Analysis to see to what extent the objective function coefficients and constants on the right side of the constraint function can  change without affecting the optimal solution. Based on calculation  using the Simple  Method, a maximum sales profit of IDR 2.830.000 is obtained if production is increased for 10 baby swings, 9 capsule chairs and 2 room deviders. Furthermore, using  Sensitivity Analysis calculations, the maximum sales profit is IDR 2.454.000 and the maximum sales profit is IDR 4.396.000.
Application of the Mamdani Fuzzy Logic Method for Calculating Heavy Equipment Damage Insurance Claims at PT Semen Padang Meilianti; Nurweni Putri
Journal of Applied Mathematics and Modelling Vol. 2 No. 1 (2026): Journal of Applied Mathematics and Modelling
Publisher : CIB Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64570/jamm.v2i1.59

Abstract

Frequent damage to PT Semen Padang heavy equipment poses a significant operational risk and requires insurance claims. Insuranse claims are crucial for minimizing losses withing PT Semen Padang. The amount of insurance claims for heavy equipment damage can be determined based on the level of damage, frequency of occurrence, and age of the equipment. However, calculating the amount of insurance claims is often sebjective and uncertain. Therefore, this study aims to apply the fuzzy logic of the Mamdani method to calculate insurance claims for heavy equipment damage at PT Semen Padang and generate more objective and accurate decisions. The Mamdani method is applied because it is capable of handling uncertain data through fuzzyfication, implied function application, rule composition, and defuzzyfication using the centroid method. The accuracy of the Mamdani method can be seen using the Mean Absolute Percentage Error (MAPE) method. The results of this study concluded that the Mamdani menthod can calculate insurance claims more accurately with a MAPE 0,55%.