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All Journal Science and Technology Indonesia Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTAM (Jurnal Teori dan Aplikasi Matematika) International Journal of Supply Chain Management JRAMathEdu (Journal of Research and Advances in Mathematics Education)
Sufahani, Suliadi Firdaus
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Transportation

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Analysing Shortest Route Problem in Petaling Jaya: A Case Study Ilmi Samsulazlan, Muhammad Shahrul; Mohd Nawawi, Mohd Kamal; Abduljabbar, Waleed Khalid; Sufahani, Suliadi Firdaus
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5549

Abstract

In graph theory, the shortest path problem is the problem of finding a path between two vertices or nodes in a graph such that the sum of the weights of its constituent edges is minimized. Shortest path is important to minimize total travelling time or cost. This paper presents a current method to construct the solution on shortest route in Petaling Jaya district area for research staff doing a survey tour. Integer linear programming (ILP), heuristic method and Google Maps were used to analyse the travelling salesman problem (TSP). Result shows that it has agreement with theoretical predictions and significant improvement over previous efforts by researchers. The work presented here has profound implications for future studies of saving time and cost behaviour and may help to solve the problem for the survey tour in the future
A Comparative Analysis of First-Difference GMM and System GMM Approaches on Economic Growth Hendayanti, Ni Putu Nanik; Nurhidayati, Maulida; Soraya, Siti; Sufahani, Suliadi Firdaus; Ismoen, Muhaimin
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i1.27620

Abstract

One of the critical causes of Indonesia's economic growth is the presence of the Covid-19 Pandemic which has resulted in a decline in public consumption and investment interest at the household level in each region. One of the areas with a decrease in the number of affected tourist visits is Bali Province. This is because Bali is an icon of Indonesia and is the best tourist destination. The purpose of this study is to obtain the most suitable model to model economic growth with the FD-GMM and Sys-GMM approach meeting the criteria of validity, consistency, and unbiased. This type of research is quantitative research with data sourced from the central statistical agency of Bali Province. The method used in this study is to compare the First-Difference Generalized Method of Moment (FD-GMM) and System Generalized Method of Moment (Sys-GMM) on economic growth data in Bali Province. The result of this study is the estimation of model parameters with the approach FD- GMM meets valid, consistent, and unbiased criteria. In contrast, the estimation of model parameters with the Sys-GMM meets validity and consistency criteria. However, the unbiased criteria are not met because the resulting model has a biased coefficient. The best model used to model Bali's economic growth data is the FD-GMM model. The above results imply that the existence of the population categorized as poor and the existence of the workforce are still a special concern. So, the suggestion in this study is that it is necessary to conduct a policy analysis from the Bali Provincial Government in dealing with poverty rates. Furthermore, employment management in Bali will be reorganized to be more directed and measurable in increasing the economic growth of Bali Province. 
GeoGebra-based flipped learning model: An alternative panacea to improve students’ learning independency in online mathematics learning Ishartono, Naufal; Nurcahyo, Adi; Waluyo, Mohamad; Hanifah, Millenia; Razak, Rafiza Abdul; Sufahani, Suliadi Firdaus
JRAMathEdu (Journal of Research and Advances in Mathematics Education) Volume 7 Issue 3 July 2022
Publisher : Lembaga Pengembangan Publikasi Ilmiah dan Buku Ajar, Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jramathedu.v7i3.18141

Abstract

Previous studies have tried to improve students' independence in online mathematics learning. However, the Flipped Learning model integrated with GeoGebra is scarce as none of the existing syntaxes accommodate the model. As the existing syntax is based on three phases: pre-class activity, in-class activity, and post-class activity. This research aims to develop GeoGebra-based Flipped Learning syntax to increase students' independence in learning mathematics. The main difference between the existing syntax and the developed one is the integration of GeoGebra in the pre-class activity. The integration is based on previous studies showing that using GeoGebra can improve student’s learning achievements. It research employed the Design-Based Research (DBR) model involving 125 second-year undergraduate students of a private university in Indonesia. The syntax results were obtained from the study, indicating an increase in the average value of student independence in learning mathematics based on learning independence, confidence, level of discipline, sense of responsibility, level of initiative, and self-control. This developed syntax is expected to help teachers streamline online mathematics learning.
Economical and Mathematical Impact on Planning Balanced and Nutritious Diet for Paralympic (Autistic) Athlete (100M Sprinter) Using Linear and Integer Programming Approach Mohd Zailani, Natasha Amira; Howe, Lee Kah; Sufahani, Suliadi Firdaus
Science and Technology Indonesia Vol. 10 No. 2 (2025): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.2.588-597

Abstract

Every athlete should maintain a balanced diet to ensure proper physical preparation before participating in any competition, as well as for recovery afterward. Dietary planning is essential for ensuring adequate nutrient intake and avoiding food allergens, which can help improve the condition of individuals with autistic (100M sprinter) athletes while also strengthening the immune system. Human dietary planning involves the use of strategies to select suitable food items that are healthy for the body and then integrate them into meals This paper seeks to use Linear programming and Integer programming to develop diet plans for autistic 100M sprinters aged 20-30years. Linear and Integer Programming are the two scientific approaches that can be useful in reducing the costs and considering some additional constraints such as the necessary amounts of certain nutrients, as well as the allergenic products that must not beused.
Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management Xin Ying, Felicia Lim; Sufahani, Suliadi Firdaus
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6513

Abstract

The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory. The transition from manual methods to advanced computational approaches, such as metaheuristic algorithms, enhances decision-making and consolidates operations within SCM. Malaysia's transportation system has been confronting crucial challenges, characterized by congested roadways, limited rail connectivity and inefficient port operations, which interfere with the fluidity of goods and supply chain efficiency. This highlights the critical need for optimization techniques to enhance competitiveness and efficiency in the evolving SCM landscape. The research aims to explore the application of metaheuristic algorithms, with the Modified Distribution (MODI) method as the benchmark while employing the NorthWest Corner Method (NWCM) to obtain an initial feasible solution, to evaluate their performance in optimizing transportation problems. Metaheuristic algorithms, specifically Simulated Annealing (SA) and Particle Swarm Optimization (PSO), are implemented to explore alternative near-optimal solutions and assess the performance in terms of cost accuracy and computational efficiency. The results indicate that SA achieves a deviation of 12.92% in cost accuracy compared to the optimal MODI method, making it suitable for scenarios where precision is critical, whereas PSO which is 296.92 seconds faster, is ideal for time-sensitive applications. Finally, this study encourages future studies to explore additional algorithms, external factors and broader applications for enhanced real-world relevance and scalability to accentuate the potential of metaheuristic algorithms.
Optimizing Menu Planning for Children with Autism Using Improved Multi-Goal Programming Model Mohd Rashid, Nur Rasyida; Sufahani, Suliadi Firdaus; Hamzaid, Nur Hana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6649

Abstract

Menu planning for every individual is essential to obtain a balanced and healthy food intake for growth and development. Children with Autism Spectrum Disorders (ASD) face more feeding difficulties than their peers due to neurodevelopmental disorders such as social skills problems and repetitive behaviors. They also tended to refuse or be selective for certain food intakes. Proper menu planning for children with ASD is important to maintain their overall well-being and mitigate autism-related dietary issues. The manual menu planning for children with ASD does not consider proper nutritional intake, food variation, or total cost minimization. Currently, the application of mathematical modelling for menu planning in children with ASD is limited. Thus, this study aims to explore the extent to which the optimization approach can solve the menu planning problem with more than one objective. Finally, this research constructed daily menu planning for children with ASD, which indicates the feasibility of utilizing the Improved GP (IGP) model compared to the Goal Programming model (GP) in terms of the value for the deviational variables for the unachieved goals. The unachieved deviational variables by IGP model for Day-2 had decreased by 17.69% and by 34.43 % on Day-3. The total cost of the IGP model is also less than RM 0.50 of the GP model.
Co-Authors Abduljabbar, Waleed Khalid Hamzaid, Nur Hana Hanifah, Millenia Hendayanti, Ni Putu Nanik Howe, Lee Kah Ilmi Samsulazlan, Muhammad Shahrul Ismoen, Muhaimin Mohd Nawawi, Mohd Kamal Mohd Rashid, Nur Rasyida Mohd Zailani, Natasha Amira Naufal Ishartono Nurcahyo, Adi Nurhidayati, Maulida Razak, Rafiza Abdul Siti Soraya Waluyo, Mohamad Xin Ying, Felicia Lim