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Muhammad Rijal Alfian
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INDONESIA
Semeton Mathematics Journal
Published by Universitas Mataram
ISSN : -     EISSN : 30627737     DOI : https://doi.org/10.29303/semeton.v1i1.203
Core Subject : Education,
Mathematics
Fokus dan Ruang Lingkup dari Semeton Mathematics Journal adalah sebagai berikut - Analisis - Aljabar - Matematika Terapan - Pemodelan Matematika - Sistem dan Kontrol - Matematika Diskrit dan Kombinatorik - Statistik dan Stokastik - Optimasi - Ilmu Komputasi
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 28 Documents
 1   2   3 
Design of Facial Expressions Recognition for Academic Presence By Using Backpropagation Artificial Neural Networks Based on Principal Components Analysis Setiawati, Setiawati; Zahro, Uswatun Az; Robbaniyyah, Nuzla Af'idatur; Ihwani, Ivan Luthfi
Semeton Mathematics Journal Vol 1 No 2 (2024): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i2.240

Abstract

There are 4,004 universities in Indonesia where each university needs data to find out student activities, one of which is through attendance. Some universities in Indonesia still use manual attendance systems and attendance systems through the website. This system has several obstacles that require solutions. Therefore, a more concise system is needed to assist students in filling in the attendance. This research aims to make a design to make academic presence for students by using neural network. There are many methods that can be used to create this system including using Principal Component Analysis (PCA) based on Backlpropagation Neural Network (BNN) because it can help the system perform faster and more accurately without losing important information. After carrying out a series of steps of algorithm designed for student attendance, we get the recognition of facial image expressions by using ANN Backpropagation and recognition of facial image expression with PCA.
Pemodelan Angka Kematian Ibu (AKI) Di Indonesia Menggunakan Mixed Geographically Weighted Regression (MGWR) Lawwamah, Tamsilul; Harsyiah, Lisa; Aini, Qurratul
Semeton Mathematics Journal Vol 1 No 2 (2024): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i2.241

Abstract

Maternal Mortality Rate (MMR) is on of the targets for a  achieving the Sustainable Development Goals (SDGs). The aim of this research is to find the right model for estimating MMR and to look at the factors that influence MMR in Indonesia. Estimation were carried out using the Mixed Geographically Weigthed Regression (MGWR) model. The MGWR model is a combination of GWR and linear regression with variables that  having influence locally and some globally. The results obtained are that the MGWR model is superior the GWR model, because  the smallest AIC value for MGWR is 463,0564. Factors that have significant influence using the adaptive Gaussian kernel weighting are postpartum mothers (x4) , postpartum mothers receiving vitamin A (x5), giving Fe3 tablets to pregnant women (x6) ,  and handling obstetric complications (x7).
Trends Analysis Between The Relationship Rice Harvest and Rice Productivity in Nusa Tenggara Province Hamdiah, Yulinda Raudatul; Robbaniyyah, Nuzla Af'idatur
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.257

Abstract

This study aims to analyze the monthly trends in rice productivity and harvested area in West Nusa Tenggara (NTB) Province in 2023 and identify the relationship between these two variables. The data used in this research were obtained through a rice crop cutting survey based on the Area Sample Frame (KSA) method conducted by the Central Statistics Agency. Productivity was calculated based on the amount of yield produced per unit area of land each month. The results showed that rice productivity in NTB Province fluctuated, with the highest productivity recorded in January at 56.54 quintals per hectare (ku/ha) and the lowest in June at 48.40 ku/ha. Similarly, the harvested area varied, with the largest area recorded in March at 73,766 hectares and the smallest in December at 5,382 hectares. The analysis of the relationship between harvested area and rice productivity revealed an inverse pattern, where an increase in harvested area was not always accompanied by an increase in productivity. Therefore, rice productivity and harvested area are more influenced by external factors and do not directly affect each other.
Analisis Submodul dan Sifat Keprimaan dalam Ruang Modul Musyarrofah, Sefti Fajriatul; Karang, I Gusti Yogananda; Hisan, Khairatun; Luzianawati, Luzianawati
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.262

Abstract

This study analyzes prime submodules and primality properties in module spaces, fundamental topics in abstract algebra. The primary objective is to determine conditions for prime submodule formation in commutative rings and to examine their relationship with nearly prime submodules. The approach employed involves the decomposition of modules in principal ideal domains, with particular attention given to the concepts of annihilators, submodule orders, and the characteristics of torsion-free quotient modules. The findings indicate that nearly prime submodules can only be regarded as prime submodules in free modules. Furthermore, the module decomposition approach proves effective for gaining a comprehensive understanding of module structures. The concepts of annihilators and submodule orders provide profound insights into the relationships between module elements and ring elements. This study offers significant theoretical contributions to abstract algebra and establishes a foundation for further developments, particularly in applications related to number theory and cryptography.
Eksplorasi Modul Noetherian Umam, Ashadul; Mifftahurrahman, Mifftahurrahman; Pratiwi, Lia Fitta
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.263

Abstract

Noetherian Modules are a fundamental concept in algebra, providing a structured framework for studying algebraic structures. These modules satisfy the ascending chain condition (ACC), which ensures that every ascending chain of submodules terminates after a finite number of steps. This article explores the definition, key properties, and applications of Noetherian modules in ring theory, homological algebra, and algebraic topology. Through this discussion, it is demonstrated that Noetherian Modules play a crucial role in analyzing ideal structures and more complex algebraic representations. The article also provides concrete examples to illustrate the properties and significance of Noetherian modules across various branches of algebra.
Pengaruh metode pembelajaran project based learning terhadap motivasi belajar mahasiswa prodi matematika FMIPA Universitas Mataram Ayudia, Nurul Ulya; Pradana, Satriawan; Juliansyah, Wahyu Ari; Pratama, Muhammad Imran Ade; Auladi, Muhammad Yuzaul; Purnamasari, Nur Asmita
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.267

Abstract

This study evaluates the impact of the Project-Based Learning (PBL) method on the learning motivation of Mathematics students at FMIPA Universitas Mataram. The primary objective is to assess the effectiveness of PBL in enhancing learning motivation and to explore the influencing factors, namely Facilities (X₁), Lecturer Role (X₂), and Skill Development (X₃). This research employs a quantitative descriptive method, with a population of 257 Mathematics students from FMIPA Universitas Mataram, covering the 2020–2023 cohorts. The sample is determined using the Stratified Random Sampling method. Data were collected through research instruments that had been tested for validity and reliability. Data analysis was conducted using descriptive analysis (pie charts, bar charts, histograms, and scatter plots) and multiple linear regression to identify the influence of the independent variables (X₁, X₂, X₃) on (Y). The findings indicate that 63.8% of the variation in learning motivation (Y) can be explained by Facilities (X₁), Lecturer Role (X₂), and Skill Development (X₃). Both simultaneous and partial tests confirm that all independent variables contribute significantly to students’ learning motivation. These results suggest that the PBL method is not only effective in enhancing learning motivation but also holds potential as an innovative teaching strategy in higher education.
Analisis Pola Periodik Harga Saham Coca-Cola Menggunakan Deret Fourier dalam Model Regresi Linear Karang, Gusti Yogananda; Hardi, Rida Alkausar; Rizki, Miptahul; Robbaniyyah, Nuzla Af'idatur; Rusadi, Tri Maryono
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.271

Abstract

This study aims to identify periodic patterns and predict the movement of Coca-Cola (KO) stock prices using Fourier series in a linear regression model. The data utilized includes daily closing stock prices over the 2014-2024 period. A Fourier model with 15 harmonic components was chosen to optimize the balance between prediction accuracy and the risk of overfitting. The analysis results showed an R-squared value of 0.9174, indicating a high capability of capturing stock price variations. The detected price fluctuations reveal significant seasonal cycles and periodic trends. The price forecast for the 2024-2029 period indicates potential higher volatility, influenced by consumer demand dynamics, global economic uncertainty, product innovation, as well as geopolitical factors and climate change. These findings provide insights for investors to develop investment strategies based on the detected stock price fluctuation patterns.
Pengendalian Kualitas Produk Spon Kasur Menggunakan Exponentially Weighted Moving Average (Ewma) pada UD. Celcius Gegutu Timur Lingking, Fransiska Prisilia; Harsyiah, Lisa; Sulistyowati, Emmy Dyah; Asri, Adis Tia Juli Agil
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.273

Abstract

Problems that arise at UD. Celsius, one of the manufacturers of sponge mattress products in the East Gegutu area, said that differences in product weight will cause a decrease in product quality. Consequently, here, quality is of primary concern. Because the Exponentially Weighted Moving Average (EWMA) control chart can detect small average changes, this study aims to examine the quality control of mattress sponge products using this chart. The information used relates to the mass of a mattress sponge product measuring 160×120×25 cm, with four variables, namely X_1,X_2,X_3 and X_4, Quality control in this research uses a weighting factor value of  = 0.4. Based on the research results, the assumption that is not fulfilled is the assumption of data randomness, so that the EWMA control chart pattern formed shows that the data is not statistically controlled. However, there is no data that is out of control, so in this study the Average Run Length (ARL) value of 27,204 indicates that there will be data that is first out of control, namely the 27th or 28th data. And the results of the capability analysis of the process show that the production process is not capable because the values of Cp=0.3432 and Cpk=0.3373 where the values of Cp,Cpk<1, this is due to the influencing factors, namely man, machine, material and method factors.
Sejarah dan Definisi Klasik Fungsi Konveks Mas'ud, Syamsuddin
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.282

Abstract

The concept of convexity is a fundamental pillar in optimization theory and inequality analysis. This article aims to review the history and classical definition of convex functions through a literature-based approach. The literature reviewed includes works by Jensen [1], Rockafellar [2], Boyd & Vandenberghe [3], and Niculescu & Persson [4]. The analysis highlights the connection between the geometric definition of convex functions and Jensen's inequality, which demonstrates the consistency of inequality structures in both deterministic and probabilistic contexts. This study emphasizes that Jensen's inequality not only extends the concept of convex functions in probability theory but also strengthens the understanding of its geometric definition in classical analysis. This article is intended to serve as an introduction for students and researchers wishing to comprehend the foundational structure of convexity in modern mathematical theory.
Analisis Minat Pemilih Mahasiswa Gen Z di Universitas Mataram Terhadap Pemilihan Gubernur Di NTB Tahun 2024 Zulhan Widya Baskara; Amini, Elsa; Fauzi, Meilinda; Ramdhani, Triana Putri; Ulfaturrahmi, Ulfaturrahmi; Putri, Dina Eka; Baskara, Zulhan Widya
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.295

Abstract

This study aims to analyze the determinants of voting behavior among Generation Z students in the context of the 2024 Gubernatorial Election in West Nusa Tenggara (NTB), Indonesia. Utilizing a quantitative approach, the research applies multiple linear regression to examine the influence of sociological, psychological, and rational factors on voting behavior. Primary data were collected through an online questionnaire distributed to 97 purposively selected active students at the University of Mataram. The instrument employed a 4-point Likert scale to minimize neutral responses. The findings reveal that psychological and rational factors significantly influence voting behavior, whereas sociological factors do not show a statistically significant effect. The regression model yielded an Adjusted R² value of 0.549, indicating that the three independent variables explain 54.9% of the variance in voting behavior.

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