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All Journal Desimal: Jurnal Matematika
Rima, Rima Aprilia
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Education Mathematics Social Sciences

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Silver meal heuristic method planning and controlling of cracker production inventory in the assisted business units of the BNN community foundation Sari, Della Arsita; Rima, Rima Aprilia
Desimal: Jurnal Matematika Vol. 7 No. 2 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i2.23672

Abstract

Inventory control is a production activity that involves planning the amount, time, or cost that must be controlled to obtain a minimum cost and no loss. At the BNN Community Foundation Building Unit, when producing crackers, the production process was disrupted because the available raw materials did not meet production requirements. This study aims to find out the planning and control of raw materials in producing crackers and compare the company's calculation results with the Silver Meal Heuristic method. In this calculation using the data of 5 raw materials and the main requirements in the production process for three months, the result obtained in the calculation with the heuristic silver meal method obtained a minimum result of IDR 27,488,580. When compared to the calculation from the company for three months of production cost expenses, the calculation using the method silverware heuristic can save costs up to IDR 52,19,420. This proves that the calculation using the silver meal heuristic method is better used because it can control the total cost that the factory has to bear in producing crackers.
The multiplicative decomposition method: Prediction of tuberculosis cases in Medan City Fikry, Fikry Wira Afandi; Rima, Rima Aprilia
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/hygtq021

Abstract

This study aims to predict the number of Tuberculosis (TB) cases in Medan City for the year 2025, providing valuable information for healthcare workers and relevant stakeholders in their efforts to prevent and control TB infections. The research employs the Multiplicative Decomposition method, which divides time series data into four components: trend, seasonal, cyclical, and random. Utilizing TB case data from January 2020 to December 2024, obtained from the Medan City Health Department, the results indicate that the Multiplicative Decomposition method achieved a Mean Absolute Deviation value of 0.0376, a Mean Square Error value of 0.0549, and a Mean Absolute Percentage Error value of 0.00347%, demonstrating very good forecasting accuracy as all values are below 10%. The findings conclude that the Multiplicative Decomposition method is effective for estimating future TB cases, thereby supporting public health initiatives in Medan City.
Co-Authors Fikry, Fikry Wira Afandi Sari, Della Arsita