cover
Contact Name
Tabita Wahyu Triutami
Contact Email
tabita.triutami@unram.ac.id
Phone
+6281249208039
Journal Mail Official
journalgriya@gmail.com
Editorial Address
Prodi Pendidikan Matematika, FKIP Universitas Mataram Jl. Majapahit No. 62 Mataram, NTB, Indonesia
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
Griya Journal of Mathematics Education and Application
Published by Universitas Mataram
ISSN : 27761258     EISSN : 2776124X     DOI : https://doi.org/10.29303/griya.v1i2
Core Subject : Education,
Griya Journal of Mathematics Education and Application adalah Jurnal Matematika dan Pendidikan Matematika yang dikelola oleh Program Studi S1 Pendidikan Matematika Universitas Mataram. Fokus dan ruang lingkup dari jurnal ini adalah artikel ilmiah baik berupa hasil penelitian, review artikel maupun kajian pustaka khusus bidang Matematika dan Pendidikan Matematika.
Articles 560 Documents
Hubungan dukungan orang tua dan minat belajar terhadap prestasi belajar maematika SMPN 12 Mataram Tahun Ajaran 2025/2026 Didik Rahadi; Arjudin Arjudin; Ulfa Lu'luilmaknun
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1021

Abstract

Prestasi belajar matematika siswa SMPN 12 Mataram masih tergolong rendah dan dipengaruhi oleh berbagai faktor, di antaranya dukungan orang tua dan minat belajar siswa.Penelitian ini bertujuan mengetahui hubungan dukungan orang tua dan minat belajar terhadap prestasi belajar siswa SMPN 12 Mataram Tahun Ajaran 2025/2026. Jenis Penelitian ini adalah kuantitatif dengan metode ex post facto. Populasi dalam penelitian ini adalah seluruh siswa SMPN 12 Mataram tahun ajaran 2025/2026. Adapun sampel yang digunakan dalam penelitian ini sebanyak 67 orang siswa yang dipilih dengan teknik stratified random sampling. Instrumen dalam penelitian ini menggunakan angket dukunan orang tua dan angket minat belajar. Analisis data dilakukan melalui analisis deskriptif dan inferensial, meliputi uji presyarat dan uji regresi linier sederhana, berganda daan analisis koefisien determinasi. Berdasarkan hasil analisis regresi linier sederhana pada variabel dukungan orang tua terhadap prestasi belajar diperoleh persamaan dan pada variabel minat belajar terhadap prestasi belajar diperoleh persamaan . Sedangkan persamaan dalam analisis regresi linier berganda diperoleh . Berdasarkan hasil uji hipotesis didapatkan hasil bahwa terdapat hubungan yang signifikan secara simultan antara dukungan orang tua dan minat belajar terhadap prestasi belajar dengan kontribusi yang diberikan sebesar 42,7%. Hasil penelitian ini diharapkan dapat menjadi bahan pertimbangan bagi orang tua dan guru dalam meningkatkan dukungan serta menumbuhkan minat belajar siswa sehingga dapat mendukung peningkatan prestasi belajar matematika.
Penerapan Persamaan Diferensial Model Eksponensial dan Logistik dalam Mengestimasi Jumlah Penduduk Di Nusa Tenggara Barat Rida Alkausar Hardi; Ifan Hasnan Dani; Rio Satriyantara; Hady Rasikhun
Griya Journal of Mathematics Education and Application Vol. 6 No. 2 (2026): Juni 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i2.1203

Abstract

Rapid population growth can lead to social and economic problems if it is not properly controlled. This studyaims to model the population of West Nusa Tenggara using differential equation models, namely theexponential and logistic models. Population data were obtained from Statistics Indonesia for the period from1994 until 2024. The exponential model was applied by calculating the growth rate based on the actual data,while the suitability of the logistic model was also examined. The results indicate that the logistic model isnot valid because it produces a negative carrying capacity, which contradicts the fundamental assumptionsof the model. Meanwhile, the second exponential model, with a population growth rate of 1.5% per year,provides the best accuracy based on a Mean Absolute Percentage Error (MAPE) value of 0.78%. Therefore,the exponential model is considered the most appropriate approach for predicting the population of West NusaTenggara until 2034.
Inovasi Media Pembelajaran Geometri berbasis Augmented Reality dalam Matematika SMP: Systematic Literature Review Nilza Humaira Salsabila; Ulfa Lu'luilmaknun
Griya Journal of Mathematics Education and Application Vol. 6 No. 2 (2026): Juni 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i2.1342

Abstract

Perkembangan teknologi dalam pembelajaran matematika mendorong pemanfaatan media digital, salah satunya Augmented Reality (AR), untuk membantu peserta didik memahami konsep-konsep abstrak, khususnya pada materi geometri. Penelitian ini bertujuan untuk mengkaji tren penelitian, karakteristik media, efektivitas, serta tantangan implementasi media pembelajaran geometri berbasis AR pada jenjang pendidikan menengah melalui pendekatan Systematic Literature Review (SLR). Proses kajian dilakukan melalui tahapan identifikasi, seleksi, ekstraksi data, dan sintesis tematik terhadap artikel penelitian yang relevan. Hasil kajian menunjukkan bahwa penelitian mengenai media pembelajaran geometri berbasis AR mengalami perkembangan yang positif dan sebagian besar berfokus pada pengujian efektivitas media. Media berbasis AR terbukti mampu meningkatkan pemahaman konsep, kemampuan spasial, motivasi, dan keterlibatan peserta didik melalui penyajian visualisasi objek geometri tiga dimensi yang lebih konkret dan interaktif. Selain itu, media yang dikembangkan umumnya telah memenuhi kriteria valid dan praktis untuk digunakan dalam pembelajaran. Namun, implementasi AR masih menghadapi beberapa kendala, seperti keterbatasan perangkat, kesiapan guru, dan kebutuhan akan desain pembelajaran yang mendukung. Oleh karena itu, pemanfaatan AR dalam pembelajaran geometri perlu diarahkan pada integrasi teknologi dengan strategi pembelajaran yang berpusat pada peserta didik agar dapat memberikan dampak yang optimal dan berkelanjutan.
Analisis Regresi Logistik Multinomial pada Kasus Kepemilikan Jaminan Kesehatan Usia Produktif Arista Marlince Tamonob; Anugrah Jordan; Robertus Dole Guntur; Farly Oktriany Haning
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1022

Abstract

Health insurance ownership among the productive-age population is a critical issue in health development, particularly in Southwest Sumba Regency, which has not yet achieved the Universal Health Coverage (UHC) target. This study aims to identify the factors influencing health insurance ownership using the Multinomial Logistic Regression (MLR) method and to evaluate the model’s performance in classifying health insurance ownership status. The data used are derived from the 2023 National Socio-Economic Survey (SUSENAS) published by Statistics Indonesia of East Nusa Tenggara Province. The results of the MLR analysis indicate that place of residence, age, marital status, ownership of a savings account, type of employment, level of education, and health status have a significant effect on health insurance ownership. In addition, the model’s classification accuracy is evaluated using the Apparent Error Rate (APER) and overall accuracy, showing that the MLR model has a reasonably good classification ability in predicting health insurance ownership categories. These findings provide an empirical basis for policy formulation aimed at increasing health insurance coverage in Southwest Sumba Regency.
Pengaruh Model Project-Based Learning Terhadap Kemampuan Pemecahan Masalah Matematika Siswa Kelas VIII SMP Hikmatul Laili; Laila Hayati; Ulfa Lu'luilmaknun
Griya Journal of Mathematics Education and Application Vol. 6 No. 2 (2026): Juni 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i2.1025

Abstract

This study is motivated by the low level of student participation in the learning process and their limited mathematical problem-solving skills, particularly in number pattern material. The purpose of this study is to determine the effect of the Project-Based Learning (PjBL) model on the mathematical problem-solving abilities of eighth-grade students at SMP Negeri 3 Mataram. This research employed a quasi-experimental design using a posttest-only control group design. The population consisted of all eighth-grade students totaling 119 students, with a sample of 61 students selected randomly. Class VIII-1 was assigned as the experimental group using the PjBL model, while class VIII-2 served as the control group using direct instruction. Data were collected through observation and essay tests and analyzed using normality, homogeneity, and independent sample t-test, followed by effect size analysis. The results showed that the average posttest score of the experimental class (75.27) was higher than that of the control class (51.25). The data were normally distributed (Sig. experimental = 0.500 > 0.05; control = 0.096 > 0.05) and homogeneous (Sig. = 0.178 > 0.05). The t-test result indicated a significant difference (Sig. (2-tailed) = 0.000 < 0.05). Furthermore, the effect size value (Cohen’s d = 1.822) indicates a high effect, meaning that the PjBL model has a strong influence on students' mathematical problem-solving abilities. In conclusion, the Project-Based Learning model significantly improves students' mathematical problem-solving skills in number pattern material.
Pengaruh Model Problem Based Learning Berbantuan LKPD Budaya Lokal terhadap Hasil Belajar Siswa Fadila Hidayah; Baidowi Baidowi; Nilza Humaira Salsabila
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1034

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh model Problem Based Learning (PBL) berbantuan LKPD budaya lokal terhadap hasil belajar siswa pada materi SPLDV kelas VIII MTs. Hikmatusysyarief NW Salut tahun ajaran 2025/2026. Metodepenelitian yang digunakan adalah quasi eksperimental dengan posttest only non-equivalent control group design. Populasi pada penelitian ini adalah siswa kelas VIII MTs. Hikmatusysyarief NW Salut yang terdiri dari empat kelas. Sampel penelitian yaitu kelas VIII A sebagai kelas eksperimen (menerapkan model PBL berbantuan LKPD budaya lokal) dan kelas VIII C sebagai kelas kontrol (menerapkan model pembelajaran langsung berbantuan LKPD), yang ditentukan menggunakan teknik cluster random sampling. Hasil uji-t menunjukkan bahwa nilai rata-rata hasil belajar siswa kelas eksperimen lebih baik daripada kelas kontrol. Nilai rata-rata kelas eksperimen (73,44) lebih tinggi daripada kelas kontrol (63,28). Selain itu, hasil uji effect size berada pada kategori sedang. Dengan demikian, dapat disimpulkan bahwa terdapat pengaruh model Problem Based Learning (PBL) berbantuan LKPD budaya lokal terhadap hasil belajar siswa pada materi SPLDV kelas VIII MTs. Hikmatusysyarief NW Salut tahun ajaran 2025/2026.
Efektivitas Model PBL dengan Alat Bantu Geogebra dalam Meningkatkan Hasil Belajar Siswa Kelas XI Aulia Nur Nur; Baidowi Baidowi; Ratna Yulis Tyaningsih
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1035

Abstract

Hasil belajar adalah kemampuan yang dimiliki siswa setelah ia menerima pengalaman belajar. Penelitian ini bertujuan untuk mengetahui efektivitas model Problem Based Learning (PBL) berbantuan GeoGebra dalam meningkatkan hasil belajar matematika siswa kelas XI SMK Negeri 3 Mataram Tahun Pelajaran 2025/2026 pada materi Transformasi Geometri. Penelitian ini merupakan quasi experiment dengan desain posttest only control group. Populasi penelitian adalah seluruh siswa kelas XI yang terdiri dari 20 kelas, dengan sampel kelas XI TITL A sebagai kelas eksperimen (PBL berbantuan GeoGebra) dan kelas XI Geo sebagai kelas kontrol (PBL berbantuan PowerPoint interaktif). Instrumen berupa lima soal uraian yang telah divalidasi. Data dianalisis menggunakan uji normalitas data, uji homogenitas varians, dan uji-t pihak kanan. Hasil menunjukkan thitung = 2,655 lebih besar dari ttabel = 2,001 dengan nilai rata-rata posttest kelas eksperimen sebesar 67,51 dengan persentase ketuntasan 66%, dan kelas kontrol 55,41 dengan persentase ketuntasan 38%. Dengan demikian, PBL berbantuan GeoGebra efektif meningkatkan hasil belajar serta aktivitas dan keterlibatan siswa.
A Comparative Analysis of AES and LWE in Digital Image Encryption Aisyah Nooravieta Setiawan; Siska Dwi Kumala; Aisyah Enggel Luthfiyah
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1042

Abstract

This study investigates a comparative analysis between two cryptographic algorithms, which are the Advanced Encryption Standard (AES) and the Learning With Errors (LWE), in the case of digital image encryption. The core of the aim is to evaluate the computational performance, output quality, and security of the two algorithms when applied to digital image data. The methods used include measuring the computational performance by recording the encryption and decryption times for both algorithms, as well as performing a detailed analysis of the image quality post-decryption, and comparing the security of the two algorithms. The results of this analysis indicate that AES outperforms LWE in terms of speed, providing faster encryption and decryption processes with minimal impact on image quality. However, LWE offers a stronger level of security against quantum-based attacks, although with a longer processing time. This study provides important insights for selecting the appropriate encryption algorithm based on security and performance requirements in digital image processing
Penanganan Multikolinieritas dalam Regresi Saham GOTO Menggunakan PCA, Ridge, LASSO, dan PLS Fachri Faisal; Ratna Widayati; Zulfia Memi Mayasari; Siska Dwi Kumala; Aisyah Nooravieta Setiawan; Nur El Hasanah; Revika Putri Asharia
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1047

Abstract

This study aims to address the problem of multicollinearity in a multiple regression model of the daily closing stock price of PT GoTo Gojek Tokopedia Tbk (GOTO) during the period from 2022 to early 2025. Multicollinearity occurs when independent variables are highly correlated, which can lead to inefficient and unreliable parameter estimates. GOTO’s stock price experienced high volatility following its Initial Public Offering (IPO) in April 2022, making it necessary to apply appropriate analytical approaches to identify factors influencing its price movements. The study uses the closing price as the dependent variable, with opening price, high price, low price, and trading volume as independent variables. The methods employed include multiple regression and several approaches to handle multicollinearity, namely variable elimination, Principal Component Analysis (PCA), Ridge Regression, LASSO Regression, and Partial Least Squares (PLS) Regression. The initial multiple regression model achieved an R² of 0.9990 and an RMSE of 2.88, but Variance Inflation Factor (VIF) analysis indicated severe multicollinearity. After applying the alternative methods, PLS Regression demonstrated the best performance, with an R² of 0.9990 and an RMSE of 0.0318. Therefore, it can be concluded that PLS Regression is a more stable and accurate method for addressing multicollinearity and improving the prediction of GOTO’s stock prices. Abstrak Penelitian ini bertujuan menangani masalah multikolinearitas dalam model regresi berganda terhadap harga saham penutupan harian PT GoTo Gojek Tokopedia Tbk (GOTO) selama periode 2022 hingga awal 2025. Multikolinearitas terjadi ketika variabel bebas saling berkorelasi kuat sehingga menyebabkan estimasi parameter menjadi tidak efisien dan kurang akurat. Harga saham GOTO mengalami volatilitas tinggi sejak IPO April 2022, sehingga diperlukan pendekatan analisis yang tepat untuk mengidentifikasi faktor-faktor yang memengaruhi pergerakan harga. Data penelitian menggunakan variabel Terakhir sebagai variabel dependen, serta Pembukaan, Tertinggi, Terendah, dan Volume sebagai variabel independen. Metode yang digunakan meliputi regresi berganda dan beberapa pendekatan penanganan multikolinearitas, yaitu penghapusan variabel, Principal Component Analysis (PCA), Ridge Regression, LASSO Regression, dan Partial Least Squares (PLS) Regression. Model awal menghasilkan R² sebesar 0,9990 dan RMSE 2,88, namun terindikasi multikolinearitas tinggi berdasarkan nilai VIF. Setelah penerapan metode alternatif, PLS Regression memberikan performa terbaik dengan R² = 0,9990 dan RMSE = 0,0318. Dengan demikian, PLS Regression dinilai paling stabil dan akurat dalam mengatasi multikolinearitas serta meningkatkan ketepatan prediksi harga saham GOTO.
Analisis Kecerdasan Visual-Spasial dalam Menyelesaikan Masalah Dimensi Tiga Ditinjau dari Tingkatan Berpikir Van Hiele Reza Adha; Sudi Prayitno; Syahrul Azmi
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1054

Abstract

This study aims to describe students' visual–spatial intelligence in solving three-dimensional geometry problems based on van Hiele’s levels of geometric thinking. This research employed a qualitative approach with a descriptive research design. The subjects of this study were Grade XII science students of SMA Negeri 2 Labuapi. Data were collected through a van Hiele geometric thinking level test, a visual–spatial intelligence test, and interviews. The van Hiele test was administered to 21 students to classify their geometric thinking levels. The results showed that 16 students were at level 0, 3 students at level 1, and 2 students at level 2. Two students from each level were then selected as interview subjects. The findings indicate that students at level 0 did not fulfill the characteristics of visual–spatial intelligence. Students at level 1 fulfilled spatial perception, visualization, and spatial relation, while students at level 2 fulfilled spatial perception, visualization, spatial relation, and mental rotation. These results indicate that higher van Hiele thinking levels are associated with better visual–spatial intelligence in solving three-dimensional geometry problems.