Mehmood, Saba
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Novel Distance-Based Molecular Descriptors for Styrene Butadiene Rubber Structures Chidambaram, Natarajan; Kamran, Muhammad; Balasubramanian, Deepa; Hameed, Shahzaib; Mehmood, Saba; Raza, Wasim; Khan, Aamir Hussain; Iqbal, Zainab
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i2.20037

Abstract

Styrene-butadiene rubber (SBR) is a general-purpose rubber produced from a copolymer of styrene and butadiene.  It is used largely in automobile and truck tires. In general, it is considered to be an abrasion-resistant replacement for natural rubber.  In this article, we compute a set of recently introduced distance-based topological descriptors namely, Zagreb connection indices and reformulated Zagreb connection indices for the SBR structures. Zagreb indices and Reformulated Zagreb indices  were applied to forecast numerous molecular properties through QSAR studies of boiling point, Molar volume and bioactivity. These indices offer a quick and effective measure of molecular complexity and features of their composition resulting in approximate molecular behavior.
Fuzzy Logic Speed Regulator for D.C. Motor Tuning Raza, Wasim; Adzikya, Dieky; Mehmood, Saba; Wasti, Syeda Rabbia; Hussain, Muhammad Jafar; Ahmad, Aftab; Usman, Muhammad Talha; Raza, Sajid
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 1 (2024): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i1.16919

Abstract

A D.C. motor's rotational speed is regulated in this study using a PID controller and a fuzzy logic controller. In contrast to the fuzzy logic controller, which uses rules based on knowledge and experience, the proportional-integral-derivative (PID) controller requires a mathematical system model.   This study investigates the regulation of a DC motor's velocity using PID and fuzzy logic controllers. The PID controller utilizes a mathematical model and parameter tuning by trial and error. Still, the fuzzy logic controller (FLC) operates on rule-based knowledge, enabling it to handle the nonlinear features of the DC motor effectively. The FLC design entails intricate determinations, including the establishment of a rule base and the process of fuzzification. A total of 49 fuzzy rules have been devised to achieve precise control. Based on MATLAB/SIMULINK simulations, the study concludes that the Fuzzy Logic Controller (FLC) beats the Proportional-Integral-Derivative (PID) controller. The FLC exhibits superior transient and steady-state responses, shorter response times, reduced steady-state errors, and higher precision. This study emphasizes the efficacy of the FLC (Fuzzy Logic Controller) in dealing with the difficulties associated with DC motor control. It presents a strong argument for the suitability and efficiency of FLCs in industrial environments compared to conventional PID (Proportional-Integral-Derivative) controllers. There are a wide variety of ways to construct a fuzzy logic controller. The speed error and the rate of change in the speed error are two inputs to the FLC. Defuzzification is done by focusing on the core of the problem. The results show that FLC is superior to PID controllers in efficiency and effectiveness due to its reduced transient and steady-state factors.
Wind Speed Regression Model in Forecasting Wave Height in the Shipping Channel Zone Asmaul Husnah; Abdillah, Abdillah; Vera Mandailina; Syaharudin, Syaharudin; Mehmood, Saba
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 1 (2023): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i1.50981

Abstract

Nowadays, there are often accidents such as the sinking of ships in water areas that are caused by weather factors, one of which is the extreme wind speed. Wind speed and strong waves in the sea are interrelated because the factor that affects the strength of the wave blow is wind speed. This study aims to provide information about the angina speed regression model to find out the wave height at the sea crossing port. This research is a quantitative research. The data used is in the form of wind speed data taken at the coordinates of Lembar Port and Labuan Bajo Port from the NASA sub-agroclimatology website from January 1, 2012, to December 31, 2021 (for 10 years). This case study uses linear regression analysis and is operated using SPSS software. The data shows that in Lembar Port has the most extreme wind speed fluctuations in the 6th and 7th years. While the wind speed fluctuations in Labuan Bajo are consistent, but slightly extreme in the 7th year surpassing the 1st year. The results showed that the R-Square of Lembar port was 15.4% while the R-Square of Labuan Bajo port was 16.2%. The results of this study can be used in formulating marine transportation safety policies in both regions.
Improved Problem-Solving Skills Using Mathematics Module Nadila, Desi; Mandailina, Vera; Mahsup; Mehmood, Saba; Abdillah; Syaharuddin
Mosharafa: Jurnal Pendidikan Matematika Vol. 12 No. 2 (2023): April
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v12i2.798

Abstract

Banyaknya peneliti yang telah melakukan penelitian yang berkaitan dengan peningkatan kemampuan pemecahan masalah dengan menggunakan modul matematika. Tujuan dari penelitian ini adalah untuk menganalisis kembali hasil-hasil penelitian pada perbandingan tingkat hasil belajar siswa terhadap pemecahan masalah dengan menggunakan modul matematika, berdasarkan jenjang pendidikan. Metode yang di gunakan dalam penelitian ini adalah Meta-analisis. Hasil penelusuran ditemukan sebanyak 61 data yang memenuhi syarat dan ketentuan dari database Geogle Scolar, DOAJ, dan Scopus dari jumlah peserta didik (N), nilai uji fisher (F), nilai uji student (t), nilai uji korelasi (r) dan ketuntasan klasikal yang diambil bersdasarkan dengan kata kunci. Dan hasil data akan dianalisis menggunakan sofware JASP dengan menginput nilai Effect Size (ES) dan standart Error (SE) dari tiap data. Dari hasil analis data dapat terlihat peningkatan yang signifikan. Hasil analisis data menunjukkan tingkat perbandingan hasil pemecahan masalah menggunakan modul matematika pada semua jenjang, pada jenjang SD sebesar 96% (kategori tinggi), tingkat SMP sebesar 99% (kategori tinggi), tingkat SMA 101% (kategori tinggi) dan PT sebesar 86% (kategori tinggi). Disimpulkan tingkat perbandingan pada jenjang SMA lebih tinggi dibandingkan dengan jenjang SD, SMP, dan PT. Many researchers have conducted research related to improving mathematical problem-solving skills using mathematical modules. The purpose of this study is to re-analyze the research on the level of comparison of studies learning outcomes to problem-solving skills with mathematics modules, based on the level of education, namely elementary, junior high, high school, and higher education. The method used in this study is Meta-analysis. The search results found as much as 61 data that met the terms and conditions from the Google scholar, DOAJ, and Scopus databases fisher test value (F), student test value (t), correlation test value (r), and classical completeness taken based on keywords. And the data results next analyzed using JASP software by inputting the Effect Size (ES) and Standard Error (SE) values from each data. From the results of the data analysis, a significant increase can be seen. Improving problem-solving skills using mathematics modules is more widely used at the high school level compared to the elementary, junior high, and tertiary levels. The results of the data analysis showed that there was a comparative level of problem-solving results using mathematics modules at all levels, at the SD level of 96% (high category), SMP level of 99% high (category), SMA level of 101% (high category), and PT level by 86% (high category). It can be concluded that the comparison level at the SMA level is the higher than at the SD, SMP, SMA and PT levels.
COVID-19 Predictions Using Regression Growth Model in Ireland and Israel Raza, Wasim; Adzkiya, Dieky; Subchan, Subchan; Mehmood, Saba
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 4 (2022): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i4.10944

Abstract

The World Health Organization (WHO) asserted the recently discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, a pandemic on March 11, 2020. Since the genesis and growth mechanisms of this virus are unclear and impossible to detect, there are still many uncertainties concerning it and no vaccination or effective treatment. The main goal is to halt its global spread. This paper employed a regression growth model with an extended Weibull function on the dynamics of COVID-19 to make predictions about its spread. Our findings demonstrate the viability of using this model to forecast the spread of the virus. Using a logistic growth regression model, the note tabulates the COVID-19-related final epidemic sizes for a few sites, including Ireland and Israel.
PERFORMANCE EVALUATION OF NEWTON–KONTOROVICH AND ADAPTIVE NEWTON LINE SEARCH ON MULTIVARIATE NONLINEAR SYSTEMS Muslimin, Ikhwanul; Syaharuddin; Mandailina, Vera; Mehmood, Saba; Raza, Wasim
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7370

Abstract

Solving multivariate nonlinear systems is essential in engineering, physics, and applied sciences. This study compares the performance of two numerical methods—Newton–Kontorovich and Interactive Newton–Raphson with Line Search—on trigonometric and exponential nonlinear systems. The methods are evaluated based on convergence rate, accuracy, and iteration efficiency through numerical simulations using MATLAB. The Newton–Kontorovich method, typically used for integral or differential equations, is compared with the adaptive line search strategy that enhances global convergence. Results show that the Interactive Newton–Raphson method achieves a smaller final error (5.95×10⁻²) with stable convergence, while Newton–Kontorovich converges in fewer iterations but with larger error (3.126). These findings highlight the superiority of adaptive strategies for complex nonlinear systems. Practical implications include improved numerical reliability for applications in structural engineering, optimization, and scientific modeling.
ETHNOMATHEMATICS: AN EXPLORATION OF GEOMETRIC SHAPES AND STRUCTURES IN THE “UMA LENGGE” TRADITIONAL HOUSE Fitriatunnisa, Ririn; Hastuti, Intan Dwi; Mariyati, Yuni; Mehmood, Saba
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 14, No 4 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v14i4.12409

Abstract

This research aims to explore the geometric shapes and structures found in the Uma Lengge traditional house with a qualitative approach based on the ethnographic model. This research was conducted in Maria Village, Wawo Sub-district, which was chosen because of the existence of the Uma Lengge traditional house and its role in cultural preservation and the development of the tourism sector. The problem raised in this research is the lack of studies linking the architectural design of Uma Lengge with mathematical concepts, especially within the framework of ethnomathematics, which has the potential to provide new insights into the relationship between culture and science. Respondents were selected using a purposive sampling technique, including custodians, cultural experts, and conservationists who have in-depth knowledge of the history and construction of Uma Lengge. Data collection was conducted through direct observation, literature study, and in-depth interviews. Data analysis techniques include data reduction, data presentation, and verification to ensure the validity and reliability of research findings. The results show that the architectural design of Uma Lengge combines geometric concepts in flat and spatial shapes, including patterns of triangles, squares, rectangles, triangular prisms, cubes, blocks, and pyramid frustums. These geometric structures not only reflect beauty and function, but also reflect local wisdom in the use of traditional mathematical concepts. This research makes an important contribution in expanding the understanding of ethnomathematics as part of cultural heritage that can be integrated into the mathematics learning process. It is recommended to conduct more comprehensive follow-up research on the application of other mathematical concepts, as well as develop ethnomathematics-based learning modules to increase students' appreciation of mathematics in a cultural context.
Interactive GUIs and 3D Visualization in Computational Mathematics Education: A Systematic Literature Review Syaharuddin, Syaharuddin; Abdillah, Abdillah; Mehmood, Saba; Raza, Wasim; Sahraini, Alfiana; Fadugba, Sunday Emmanuel
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 2 (2026): July
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i2.3942

Abstract

Graphical User Interfaces (GUIs) and 3D visualization can support computational mathematics learning by making abstract, spatial, and dynamic concepts more accessible. However, evidence concerning their pedagogical applications, reported outcomes, and implementation challenges remains fragmented across technologies and educational contexts. This systematic literature review identifies, classifies, and synthesizes research on GUI- and 3D-supported computational mathematics education. Open-access publications written in English or Indonesian and indexed in Scopus, the Directory of Open Access Journals, and Google Scholar between 2015 and 2025 were examined using a PRISMA-informed selection process. Of the 28,563 records initially identified, 1,123 were retained for bibliometric and keyword co-occurrence analysis, while 31 studies met the full eligibility criteria and were included in the qualitative synthesis. The included studies were analyzed through thematic coding, cross-study comparison, and narrative synthesis. Bibliometric mapping identified four major clusters: technology-supported learning environments; visualization, GUI, and user interaction; simulation and advanced computational methods; and datasets, images, and predictive models. Across the included studies, GUI and 3D visualization were generally associated with reported improvements in conceptual understanding, learning motivation, engagement, and interaction with mathematical representations. Nevertheless, their educational value depended on usability, instructional scaffolding, curriculum alignment, teacher readiness, and technological accessibility. The findings provide design-oriented guidance for educators and developers and highlight the need for rigorous research in non-geometry domains, standardized evaluation methods, and integrated pedagogical frameworks for computational mathematics education.