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Aulia Oktavia
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Journal of Applied Mathematics and Modelling
Published by Cendekiawan Inovatif dan Berkelanjutan Nusantara
ISSN : -     EISSN : 30905524     DOI : https://doi.org/10.64570/jamm.v1i1.1
Core Subject : Science, Education, Social, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Environmental Science Mathematics
Aim: The Journal of Applied Mathematics and Modelling (JAMM) aims to advance the frontiers of applied mathematics by publishing high-quality research that bridges theoretical developments with real-world applications. We seek to foster innovation in mathematical modeling, computational techniques, and analytical methods that address complex challenges across diverse scientific and industrial domains. Our mission is to provide a platform for interdisciplinary collaboration, promoting mathematical approaches that drive progress across science, engineering, technology, and decision-making. Scope: 1. Mathematical Modeling and Computational Methods – Development and analysis of deterministic, stochastic, discrete, and continuous models and numerical techniques for solving complex mathematical problems. 2. Optimization and Decision Science – Research in mathematical optimization, operations research, and decision-making models with engineering, economics, logistics, and artificial intelligence applications. 3. Differential Equations and Dynamical Systems – Theoretical and computational studies on ordinary, partial, and fractional differential equations, stability analysis, and nonlinear dynamical systems across scientific disciplines. 4. Data-Driven and Machine Learning Models – Integrating mathematical modeling with artificial intelligence, big data analytics, and statistical learning to enhance predictive modeling and intelligent decision-making. 5. Network Science and Complex Systems – Analysis of interconnected systems, network structures, and emergent behaviors in epidemiology, finance, transportation, and social sciences.
Arjuna Subject : Matematika - Matematika Terapan
Articles 6 Documents
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Search results for , issue "Vol. 1 No. 2 (2025): Journal of Applied Mathematics and Modelling" : 6 Documents clear
Applying Finite State Automata to Structural Design of an Automatic Ice Cream Machine Lestari, Novilia; Sri Wahyu; Melisa Sartika; Annisa Thurrabiah Khanza; Sadra Afifah; Ade Candra Bayu
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.v1i2.28

Abstract

Technological advances encourage the implementation of automated machines to improve efficiency and process consistency, one of which is in automatic ice cream machines. These machines require a structured control system to manage the ordering flow and user interaction. This study aims to apply Automata theory, specifically Finite State Automata (FSA), to systematically model the working logic of an automatic ice cream machine. The system workflow is represented using Non-Deterministic Finite Automata (NFA) which includes the stages of cup size selection, flavor selection, topping selection, payment process, and order confirmation. This system allows the selection of 3 cup sizes: small, medium, and large, ensuring that each ordering process begins with an explicit cup size selection before the user proceeds to the next stage. Also, at the topping selection stage, the automata model is designed to be more flexible by providing transitions that allow users to choose no topping at all or to choose more than one topping. Model validation was carried out through simulations using JFLAP. The simulation results show that the model can accept valid input sequences and reject invalid inputs, so that the system flow runs consistently. Thus, FSA is proven effective as a formal framework in modeling and analyzing automatic ice cream machine systems.
The Use of Sensitivity Analysis to Find Maximum Profit in The Production Of Msme Angga Furniture Using The Simplex Method Dwita Septiani; Iswan Rina; Putri, Nurweni; 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.
Planning for the Making of Scheduling Block Fore Peak 300 Feet Barge Using the Critical Path Method (CPM) Rizky Hidayat
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.v1i2.44

Abstract

In the repair of a vessel, project management is essential to facilitate the distribution of tasks so that they are structured and aligned with the planned schedule. This research aims to redesign the scheduling of the fore peak block construction on a 300-feet barge, which is a critical component of the ship’s structure. The study is motivated by project delays that occurred at a shipyard in the Riau Islands, where there was a difference between the planned duration of 88 days and the actual realization of 107 days. The method used is the Critical Path Method (CPM), which can identify the critical path in the work network, calculate the earliest and latest start and finish times (ES, EF, LS, LF), and determine float values. Data processing was carried out through S-curve analysis and man-hour evaluation. The calculation results of Man-hours show 1264 JO in the planning stage and 1552 JO in the actual stage, where the increase in man-hours impacted cost escalation. Therefore, rescheduling was performed, resulting in a reduced project duration of 93 days and a decrease in the number of critical paths from 11 to 8. The implementation of CPM has proven to improve the effectiveness of project control, making it a relevant and practical method in modern ship construction project management.
Forecasting Customer Growth at PT PLN (Persero) ULP Lakawan Using Linear Regression Ramanda Asyari; Ayi Oktra Maulana; Ikhlas; Adha Rizki; Muhammad Ridho
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.v1i2.45

Abstract

Electrical energy is a fundamental necessity for the population. PT PLN (Persero) ULP Lakawan is a state-owned enterprise mandated by the government to manage the national power supply. The rising public demand for electricity has led to a significant increase in the potential number of customers. Consequently, forecasting the number of customers for the year 2026 is essential as a basis for strategic planning and decision making to ensure an adequate and reliable electricity supply. This study utilizes historical customer data from 2016 to 2025 to capture trend of customer growth st PT PLN (Persero) ULP Lakawan. By employing a Simple Linear Regression analysis, conducted through both manual Excel calculations and data analytics tools, the study predicts that the number of customers in 2026 will reach 56,632. The model demonstrated high precision with a P-Value of 0. Furthermore, the analysis revealed a substantial impact with an R-Square value of 98.73% and an exceptionally strong correlation (Multiple R) of 0.99. This research indicates that the Simple Linear Regression method is highly accurate for predicting customer growth.
Optimizing The Production Time of The Max-Plus Time Invariant (SLMI) Linier Algebraic System in The Production of Naziza's Potato Donuts in Padang City Alda Fuadya; Maya Sari Sahrul
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.v1i2.47

Abstract

In the era of globalization, business development is increasingly high, marked by the emergence of many MSMEs. With the emergence of so many MSMEs, the demands faced by MSME owners are getting higher, which has resulted in increasingly tighter and more competitive competition in the business world. One of them is MSMEs in the culinary sector, Naziza’s Potato Donuts MSME is one of the MSMEs operating in the culinary sector, which is also facing this problem. Naziza’s Potato Donut MSMEs must take various steps to survive, one of which is by improving service. The service that can be provided is fulfilling product orders on time and in the appropriate quantity. Based on this problem, Max-Plus Algebra is expected to be a way to optimize production time in the Naziza’s Potato Donut production system, so that production time can be used effectively and efficiently. Based on the Max-Plus Algebra method, the optimal time for input (entering materials) and time for output (completion of production time) is obtained. So, from the Max-Plus Algebra calculations, the optimal time for MSME production of Naziza’s Potato Donuts is obtained 4 times.
Analysis of the Padang City’s Labor Force with Least Square Method Ade Salma Rahayu; mifttahul rezqy; Muhammad Rifqi Hananda; Muhammad Wahyu Alrasyid
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.v1i2.50

Abstract

The labor force is an important indicator in the labor sector that reflects the number of working age people participating in economic activities, so its changes from year to year need to be analyzed quantitatively to support regional development planning. Padang City as the center of economic activity in West Sumatra Province shows relatively stable labor force development but still fluctuates, so a forecasting method is needed that is able to provide an accurate picture of the development of the labor force in the coming period. This study aims to forecast the number of Padang City workforce in 2026 using the Least Square method based on historical data for the 2017–2025 period. The Least Square method is used because it is able to form the best linear trend line with the principle of minimizing the number of squares of the error between the actual data and the value of the forecast result. The accuracy level of the forecast results was evaluated using Mean Absolute Percentage Error (MAPE). The results of the study show that the number of Padang City workforce in 2026 is projected to reach around 509,359 people with a MAPE value of 1.91%, which indicates that the Least Square method has an excellent level of forecasting accuracy and is suitable for use as a basis for data-based employment policy planning.

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