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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Evaluation and Research in Education (IJERE) Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Jurnal Pendidikan Teknologi dan Kejuruan Journal of Aceh Physics Society Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Inotera Jurnal Ilmiah Pendidikan Matematika Al Qalasadi Journal of Mathematics Technology and Education Jurnal Natural Jurnal Rekayasa elektrika Journal of Educational Management and Learning Journal on Mathematics Education Jurnal Didaktik Matematika
Marwan Ramli
Program Studi Matematika FMIPA Universitas Syiah Kuala, Banda Aceh
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

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Quadratic Programming Approach in the Non-Negatif Matrix Factorization Simbolon, Heri Yusus; Sawaluddin; Ramli, Marwan
Journal of Mathematics Technology and Education Vol. 2 No. 2 (2023): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v2i2.15670

Abstract

Non-negative Matrix Factorization is an iteration optimization algorithm. ie to decipher one matrix into several non-negative component matrices. Non-negative Matrix Factorization (FMN) serves to obtain a picture of non-negative data. There is a problem in the Non-negative Matrix Factorization that is optimization at the constraint boundary, where in the optimization solution on the constraint boundary it is necessary to do long iteration and of course very difficult and conquers a long time. Quadratic Programing is an approach to solving linear optimization problems where the constraint is linear function and its purpose function is the square of the decision variable or multiplication of the two decision variables. This method is considered to be an effective method to overcome the optimization in the Non-negative Matrix Factorization.
Key Influences on Students' Academic Success: Insights from Scholarly Research Vitoria, Linda; Ramli, Marwan; Johar, Rahmah; Mawarpury, Marty
Journal of Educational Management and Learning Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i1.164

Abstract

Literature reveals that there are numerous factors that affect students' academic achievement. These factors range from internal factors with varying degrees of influence. Determining the dominant factors is highly useful as part of the effort and the planning of potential actions regarding what can be done to improve students’ academic achievement. The present study employed a systematic literature review method to identify the dominant factors. Results show that there are four dominant factors that affect students’ academic achievement. They are academic motivation, emotional intelligence, teachers, and peers. This finding confirms the complex nature of the factors that affect students’ academic achievement, which involve internal and external factors. Without disregarding the other factors, these findings suggest that schools and parents should pay close attention to the dominant factors in order to improve students’ achievement.
Study of mathematical models of type 2 diabetes mellitus and its complications MAGHFIRAH, AFIATUN; GANI, BASRI A.; RAMLI, MARWAN; IKHWAN, MUHAMMAD
Jurnal Natural Volume 24 Number 3, October 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v24i3.33482

Abstract

The rapid increase in type 2 diabetes mellitus (DM) cases in Indonesia, driven by hereditary factors and unhealthy lifestyles, poses significant health challenges. This study develops a compartmental model to analyze the progression of type 2 DM and the onset of complications, classifying individuals into susceptible, patients without complications, patients with complications, and those disabled due to complications. The model examines the influence of two key factors on the recovery from complications: habitual factors, including medication adherence, physical activity, dietary habits, smoking history, and environmental factors, such as stress levels, environmental support, patient trust, and compliance. The results indicate that habitual factors have a more substantial impact on mitigating complications compared to environmental factors, suggesting that lifestyle interventions are crucial in improving patient outcomes. The model also shows that an increase in behavioral interactions leading to disease progression results in instability, emphasizing the need for early and consistent behavioral interventions. This research offers valuable insights for healthcare providers and policymakers. By identifying the most influential factors in managing complications, the model can guide the development of targeted interventions that prioritize habitual changes, such as medication adherence and physical activity. Public health strategies can be tailored to emphasize the importance of these habitual factors, potentially reducing the burden of type 2 DM complications. Overall, this study highlights the critical role of personalized, behavior-focused interventions in the management and prevention of complications in patients with type 2 DM, offering a practical framework for improving patient care.
ConciseCarNet: convolutional neural network for parking space classification Ramli, Marwan; Rahman, Sayuti; Bayu Syah, Rahmad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4158-4168

Abstract

The car is a mode of transportation that brings numerous benefits to the community. As a result, the growth of vehicles is increasing, which has a negative impact. Some of the negative impacts include noise, air pollution, traffic congestion, and the need for parking spaces. Drivers that drive around looking for parking places increase the negative impact as well as boredom and even worry for the driver. Therefore, the driver needs this information on the availability of parking spaces. A convolutional neural network (CNN) using a camera is one of the best methods that can be used to solve this problem. We built a more efficient CNN architecture for classifying parking spaces, which was named ConciseCarNet. ConciseCarNet uses 33 and 11 convolution filters, which cause fewer parameters than previous architectures. ConciseCarNet has two branches, each with a different branch structure. This branch is designed to generate additional feature variations, which will help improve the accuracy. Based on testing, the accuracy of ConciseCarNet2x outperforms the accuracy of mAlexnet, Carnet, EfficientParkingNet, and you look once (YOLO)+MobilNet architectures, which is 99.37%. ConciseCarNet has fewer parameters, file sizes, and floating point operations (FLOPs) compared to other architectures.
Mathematical model of student learning behavior with the effect of learning motivation and student social interaction Mutiawati; Johar, Rahmah; Ramli, Marwan; Mailizar
Journal on Mathematics Education Vol. 13 No. 3 (2022): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jme.v13i3.pp415-436

Abstract

This study aims to determine the mathematical model of student learning behavior. The model is built by analogizing the spread of learning behavior with infectious diseases, which is called the SEIR model. The survey was conducted through filling out a questionnaire on the learning behavior of junior high school students with a population of 1,143 students. The results of the simulation model show that the peak of students' vulnerability to changes in learning behavior increases rapidly in the first two days and will be stable when passing the 150th day. The results of the simulation of the SEIR mathematical model with an incubation period of 365 days found that student learning behavior in Non-Boarding Schools will be stable in on day 198, while in Boarding Schools it will be stable on day 201. Infection cases in Boarding Schools fell to 0 on day 25 while in Non-Boarding Schools decreased on day 21, meaning that infections occurring in Boarding Schools were slower and more resistant long, meaning that the influence of the social environment is very significant on student learning behavior. This study also serves as material for policy formulation for the Aceh Provincial Government regarding the junior high school curriculum.
MobileChiliNet: convolutional neural network for chili leaves classification Rahman, Sayuti; Elveny, Marischa; Ramli, Marwan; Manurung, Dionikxon
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3757-3770

Abstract

Chili pepper (Capsicum annuum) is an important crop in many countries, including Indonesia, which plays an important role in local economy and food production. To meet the high demand, effective agricultural management, especially the diagnosis and treatment of plant diseases, is essential. This study aims to improve the accuracy of chili leaf disease classification while reducing the computational cost so that it can be applied to low-cost smart farming systems. Through the development of the MobileChiliNet architecture, which is the result of pruning and fine-tuning of MobileNetV2, this model achieves the best accuracy, better than other CNNs such as ResNet50 and VGG16. Testing with various optimizers and learning rate schedulers shows that AdamW with PolynomialDecay provides the best performance by increasing the validation accuracy to 96.48%. This approach successfully reduces the computational complexity while maintaining high accuracy, so that it can be implemented in smart farming systems at a lower cost.
Metaphorical Thinking of Students in Solving Algebraic Problems based on Their Cognitive Styles Muthmainnah Muthmainnah; Marwan Ramli; M Ikhsan
Didaktik Matematika Vol 8, No 1 (2021): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jdm.v8i1.18978

Abstract

One of thinking concepts which connects real life to mathematics is called metaphorical thinking. Metaphor and modelling are two closely related concepts. Besides, each individual performs different cognitive styles, such as field independent (FI) and field dependent (FD) cognitive styles. This factor possibly leads to different metaphorical thinking in solving algebraic problems. The participants of this qualitative research consist of two students at grade 7 of one of junior high school in Banda Aceh, Indonesia, with FI and FD as their cognitive styles. Based on the findings, it is found that: 1) Metaphorical thinking of the student with FI cognitive style in solving the algebraic problem in the stage of understanding the problem, devising a plan, carrying out the plan, and looking back is considered to achieve the target for each criteria of CREATE; 2) Metaphorical thinking of the student with FD cognitive style in solving the problem in the all four stages but could not reveal all criteria mentioned in CREATE. This happens as the student is unable to find the appropriate metaphor to the algebraic problem. Therefore, the student does not need to explain the suitability of the metaphor to the algebraic problem.
Students' Metacognitive Ability Mathematical Problem-Solving through the Problem-based Learning Model Zia Anjelina; Usman Usman; Marwan Ramli
Didaktik Matematika Vol 8, No 1 (2021): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jdm.v8i1.19960

Abstract

Students lack metacognitive ability despite its vital role in mathematical problem-solving. The problem-based Learning (PBL) model is one of the learning models to improve metacognitive ability in problem-solving. This study aimed to analyze the students'metacognitive ability in mathematical problem solving through PBL and examine its improvement. This present study applied the explanatory sequential mixed-method design. The population was the Year 11 students from one of the senior high schools in South Aceh Regency, Indonesia. Data collection was conducted using three instruments: pre-test, post-test, and interview guidelines. The pre-test and post-test data were analyzed using the t-test, while students' metacognitive ability was analyzed qualitatively. The results showed that students' metacognitive ability in mathematical problem solving through the PBL model was increased. Furthermore, students' metacognitive abilitywas at the semi-reflective use, the strategic use, the aware use levels for high-ability, medium-ability, and low-ability groups.
Efektivitas Modul Pembelajaran Berbantuan Software GeoGebra pada Materi Bangun Ruang Sisi Datar Rhilmanidar Rhilmanidar; Marwan Ramli; Bansu Irianto Ansari
Didaktik Matematika Vol 7, No 2 (2020): Jurnal Didaktik Matematika
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jdm.v7i2.17915

Abstract

The low learning outcomes of students on geometry may be due to the unavailability of GeoGebra software assisted learning modules. This research aims to investigate the effectiveness of a GeoGebra software assisted learning module on the theory of flat-faced 3D shapes. This study consists of three phases, which are preliminary research, prototyping phase, and assessment phase. The test subjects are the students of a junior high school in Aceh Selatan. The research instruments cover student activity sheets, formative test sheets, student response questionnaires, and observer response questionnaires. The results show that the learning module satisfies the effectiveness criteria. These results are supported by very good student activities, improvement in students score of formative test, and positive responses of the students and teachers on the learning module.
Co-Authors Anugreni, Fera Baafai, Usman Bansu Irianto Ansari Basri A. Gani, Basri A. Bayu Syah, Rahmad CUT D. SYAHRANI DEDI SUHAIMI Durisman Durisman Hafnani Hafnani Herman Mawengkang IKHSAN MAULIDI Irfandi Nu’man Dani Linda Vitoria, Linda M Ikhsan MAGHFIRAH, AFIATUN Mahyus Ihsan Mailizar Mailizar Mailizar Manurung, Dionikxon Mardlijah - Marischa Elveny, Marischa Marty Mawarpury Mohd Iqbal Muttaqin Muhammad Amin Muhammad Ikhwan Muhammad Ikhwan Mulkan Iskandar Nasution Mustamam, Mr Muthmainnah Muthmainnah Mutiawati Mutiawati Mutiawati Nuraini Nuraini Nurliadi Nurliadi Poltak Sihombing Rahmah Johar Rahman, Sayuti Reza Wafdan Rhilmanidar Rhilmanidar Rizki Kurniawan Rangkuti Said Munzir Said Munzir Sawaluddin Simbolon, Heri Yusus Siti Rusdiana Syamsul Rizal SYARIFAH MEURAH YUNI T. KHAIRUMAN3 Tulus Tulus Usman Ba’afai Usman Usman Zia Anjelina