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Model Matematika Pengaruh Lingkungan Terhadap Penyebaran Homoseksual Afdhal Ahkrizal; Media Rosha
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.444 KB) | DOI: 10.24036/unpjomath.v4i3.7180

Abstract

Abstract— Homosexuals are the behaviors of sexual deviations that have occurred in many countries. This homosexual behavior occurs a lot due to negative environmental influences. In Indonesia, homosexual behavior has been caused due to poor social environment such as being too close to same-sex friends, often experiencing a breakup with friends opposite sex, etc. The purpose of the study was to find out the mathematical modelling form of environmental influences on homosexual deployments. This research is a basic study using theoretical methods that analyza theories relating to the influence of the environmental on the spread of homosexual. Based on the results of the reseach of mathematical models of environmental influences on the spread of homosexuals in the form of ordinary differential equation system and stability of the system on this model is asymtotic stable indicating in case of fixed point free from the influence of homsexual behavior. Keywords—Mathematical Model, Homosexual, Environmental Influences.
Pemodelan Matematika Tipe S1S2E1E2I1I2T Pada Diabetes Melitus Tipe 2 Dengan Mempertimbangkan Treatment Yang Diakibatkan Adanya Pengaruh Obesitas Saragih, Sisca Sri Dewi; Tarigan, Lola Zeramenda Br; Ahkrizal, Afdhal; Hasibuan, Hokkop Efendi
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 7, No 4 (2025): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v7i4.23552

Abstract

Diabetes Mellitus Type 2 is one of the largest contributors to the world of health in non-communicable diseases in Indonesia. Many people are affected either because of genetic obesity or obesity due to food. Mathematical modeling is one way to visualize the development and spread of Type 2 diabetes mellitus. The model used in this study is S1S2E1E2I1I2T and its stability will be seen. The article discusses the stability of fixed points using the Jacobian matrix and the Routh-Hurwitz criteria as well as the Castilo-Chaves and Song Theorem, reproduction numbers, and their numerical analysis.
Dynamics System in the SEIR-SI Model of the Spread of Malaria with Recurrence Ahkrizal, Afdhal; Jaharuddin, Jaharuddin; Nugrahani, Endar H.
Jambura Journal of Biomathematics (JJBM) Volume 4, Issue 1: June 2023
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjbm.v4i1.18754

Abstract

Mathematical model is used to describe the dynamics of the spread of malaria in human and mosquito populations. The model used is the SEIR-SI model. This study discusses the stability of the equilibrium point, parameter sensitivity, and numerical simulation of the spread of malaria. The analysis shows that the model has two equilibrium points, namely the disease-free and endemic equilibrium points, each of which is locally asymptotically stable. Numerical simulations show that the occurrence of disease cure in exposed humans causes the rate of malaria spread to decrease. Meanwhile, the presence of disease recurrence causes the spread of malaria to increase.
Application of Linear Programming Based Transportation Models to Optimize Natural Disaster Relief Distribution Saddam Husein; Zulhamsyah Fachrurrazi Nasution; Ema Sri Rezeki; Afdhal Ahkrizal
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28440

Abstract

Disaster relief distribution is a complex logistical problem and requires optimal planning for targeted and efficient distribution. This study aims to apply a linear programming-based transportation model to optimize aid distribution from several warehouses to affected shelters, with clearly defined constraints based on field conditions. The method used is a quantitative approach through simulation supported by empirical data representing post-disaster conditions. The model is formulated in an objective function to minimize total distribution costs with warehouse capacity and shelter requirements constraints. The process solution model is carried out using LINDO (Linear, Interactive, Discrete Optimizer) optimization software to ensure calculation accuracy. The optimization results show a cost reduction from 1,550 to 650 units, or a savings of 58.06% while still satisfying all supply and demand constraints. These findings indicate that the linear programming-based transportation model is effective in increasing aid distribution efficiency and supporting more targeted logistics decision-making.