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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan EIGEN MATHEMATICS JOURNAL Jurnal Diferensial MATHunesa: Jurnal Ilmiah Matematika Jurnal Pepadu Bakti Sekawan : Jurnal Pengabdian Masyarakat Basis : Jurnal Ilmiah Matematika Jurnal Sains Natural Al-Aqlu : Jurnal Matematika, Teknik dan Sains
Robbaniyyah, Nuzla Af’idatur
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Health Professions Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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UPAYA PENINGKATAN MINAT BELAJAR MATEMATIKA SISWA Zulhan Widya Baskara; Salwa, Salwa; Abdurahim, Abdurahim; Awalushaumi, Lailia; Marwan, Marwan; Aini, Qurratul; Robbaniyyah, Nuzla Af’idatur; Alfian, Muhammad Rijal; Baskara, Zulhan Widya; Rusadi, Tri Maryono; Syechah, Bulqis Nabula; Wardana, I Gede Adhitya Wisnu; Choirunnisa, Fajarani
Jurnal Pepadu Vol 5 No 3 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i3.5870

Abstract

Berbagai faktor dapat mempengaruhi rendahnya minat siswa dalam belajar matematika, diantaranya adalah metode pembelajaran yang dilakukan guru saat mengajar, keterbatasan sarana prasarana pembelajaran, motivasi dari guru, dan dukungan orang tua siswa. keingintahuan siswa berupa materi yang menarik, penjelasan guru yang mudah dipahami akan menjadikan matematika menjadi mata pelajaran favorit, mengingat pentingnya pemahaman konsep dasar matematika di tingkat sekolah, khususnya SMA, maka perlu adanya upaya untuk meningkatkan minat belajar matematika. Dalam hal ini, upaya yang dilakukan melalui media cerita tentang paradoks dan temuan tokoh-tokoh matematika yang dimanfaatkan untuk membantu memudahkan kehidupan manusia, diharapkan bisa menumbuhkan keinginan mengetahui palajaran matematika sehingga menumbuhkan minat belajar matematika siswa. Pengabdian dilaksanakan pada tanggal 8 Juni 2024 yang dialaksanakan melalui tahapan penyusunan materi palatihan, FGD, memberikan pre test, memberikan materi serta memberikan post test setelah diberikannya materi. Hasil yang diperoleh adalah dari 10 item pertanyaan, terdapat 8 pertanyaan yang jawabannya positif dan 2 lainnya jawabannya negatif. Sebagian besar responden setuju (52.57%) atau sangat setuju (38.97%) dengan pertanyaan yang masuk dalam golongan positif, hal ini menunjukkan bahwa mayoritas responden memiliki pandangan yang positif terhadap topik yang ditanyakan. Jadi dapat disimpulkan bahwa hasil post test menunjukkan bahwa intervensi atau pelatihan yang dilakukan efektif dalam meningkatkan pandangan positif responden.
PERAMALAN EKSPOR MIGAS BERBASIS EKSTRAPOLASI POLINOMIAL CHEBYSHEV: Forecasting of Oil and Gas Exports Based on Chebyshev Polynomial Extrapolation Sabina, Sabna Zulfaa; Rahmi, Dhea Wasila; Awwaliyah, Razma Rizqiyyah; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.141

Abstract

Exports play a strategic role in supporting the country's revenue. The oil and gas sector, as one of Indonesia's primary natural resources, contributes significantly to national economic growth. Indonesia's oil and gas production currently exhibits an unstable trend, influenced by the dynamics of global prices and demand. This research aims to forecast Indonesia's oil and gas export volume in 2025 using the Chebyshev extrapolation method. The Chebyshev extrapolation method is chosen due to its ability to produce more accurate predictions for data outside the available time range. The data used includes monthly export volumes of the oil and gas sector from 2019 to 2024. In the analysis, a fourth-degree Chebyshev polynomial is applied to project future export trends. The Mean Absolute Percentage Error (MAPE) for the Chebyshev extrapolation model is 12,10%. The forecasting results indicate an increase in monthly oil and gas exports in 2025, with the lowest value recorded in January at 1.373,70 and the peak export in December at 1.805,33. Overall, this prediction indicates the stability of oil and gas export volumes with a tendency towards an increasing trend compared to the previous year.
The Decision on Selecting the Best Laptop Using Analytical Hierarchy Process and Simple Additive Weighting Method at the Faculty of MIPA University of Mataram Fadhilah, Rifdah; Harsyiah, Lisa; Robbaniyyah, Nuzla Af’idatur
Eigen Mathematics Journal Vol 7 No 2 (2024): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i2.231

Abstract

Laptops have the potential to increase educational productivity in Indonesia. For example, students at the Faculty of Mathematics and Natural Sciences (MIPA) at the University of Mataram now feel involved. However, the decision to choose the right laptop according to the needs of students is difficult. The research population used was active students from the class of 2020-2023, Faculty of Mathematics and Natural Sciences (MIPA), University of Mataram. This research aims to determine the best laptop selection based on alternative laptop brands, namely Asus Vivobook, Acer 3, HP 14S, Dell Vostro 14, and Lenovo IP1. Further criteria include price, processor, Random Access Memory (RAM), Read Only Memory (ROM), and screen size. The methods used are the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The research results show that the first priority position is filled by the Asus Vivobook with a weight of 0,26 for the AHP method and the Lenovo IP1 with a weight of 0,898 for the SAW method. The results of priority comparisons using euclidean distance, it was found that the most optimal method for deciding on the best laptop was the AHP method. The AHP method has a value closest to 0 (zero), namely with an average value of 0,127, while the SAW method has an average value of 0,798.
Prediksi Harga Beras di Provinsi Nusa Tenggara Barat Dengan Metode Least Square Approximation Anjani, Aulia Fadma; Choirunnisa, Nabila; Haizar, Maulana Rifky; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
JSN : Jurnal Sains Natural Vol. 3 No. 1 (2025): Februari
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v3i1.690

Abstract

The Linear Least Square Approximation method is applied to predict rice prices in West Nusa Tenggara (NTB) Province. The price of rice plays a strategic role in the Indonesian economy as it is the basic need of most people, and its fluctuations have a significant impact on purchasing power and economic stability. Various factors influence changes in rice prices, such as production volume, climate conditions, and the possibility of price manipulation by certain parties. In this analysis, the Least Square Approximation method was chosen because it is able to capture trend patterns based on historical data from 2015-2022 obtained from the Central Statistics Agency (BPS), thus helping to project future prices. The prediction results show that rice prices in the period tend to be stable in the range of IDR 8,900 to IDR 9,800 per kilogram. The accuracy of the model was evaluated using Mean Absolute Percentage Error (MAPE), which resulted in an error of 2.59%, indicating that the method is effective and reliable enough to provide accurate rice price predictions.
Numerical Analysis of Mathematical Model for Diabetes Mellitus Disease by Using Adam-Bashfort Moulton Method Robbaniyyah, Nuzla Af’idatur; Salwa, Salwa; Maharani, Andika Ellena Saufika Hakim
Eigen Mathematics Journal Vol 7 No 2 (2024): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i2.245

Abstract

Diabetes mellitus is a metabolic disorder characterized by elevated blood glucose levels, known as hyperglycemia. The objective of this study is to develop a mathematical model of diabetes mellitus. The model will be analyzed in terms of its equilibrium points using the Adam-Bashforth Moulton numerical method. The numerical method that used is a multistep method. The predictor step employs the Runge-Kutta method, while the corrector step uses the Adam-Bashforth Moulton method. The mathematical model of diabetes mellitus is categorized into two classes: uncomplicated diabetes mellitus and complicated diabetes mellitus. The resulting model identifies two equilibrium points: the endemic equilibrium point (complicated) and the disease-free equilibrium point (uncomplicated). The eigenvalues of these equilibrium points are positive real numbers and negative real numbers. Therefore, the stability of the system is found to be unstable and asymptotically stable, indicating that the population of individuals with uncomplicated diabetes mellitus will continue to rise, whereas the population with complications will not increase significantly over time.
Prediksi Tingkat Produksi Padi di Kota Mataram dengan Metode Least Square Hamdiah, Yulinda Raudatul; Jannah, Rafaatul; Choirunnisa, Fajarani; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Basis : Jurnal Ilmiah Matematika Vol. 4 No. 1 (2025): BASIS: Jurnal Ilmiah Matematika
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/basis.v4i1.1470

Abstract

Penelitian ini bertujuan untuk menentukan model prediksi jumlah produksi padi di Kota Mataram pada tahun 2024-2029 dengan menggunakan metode Least Square. Berdasarkan data historis produksi padi dari tahun 2018 hingga 2023, hasil prediksi menunjukkan bahwa produksi padi di Kota Mataram pada tahun 2024 diperkirakan mencapai 16.701 ton dan akan terus meningkat setiap tahunnya, dengan perkiraan mencapai 17.161 ton pada tahun 2029. Tingkat kesalahan prediksi yang sangat rendah dengan menggunakan MAPE sebesar 0,28%, menunjukkan bahwa model ini sangat akurat dan dapat digunakan sebagai dasar perencanaan dan pengambilan keputusan untuk masa depan.
THE NUMERICAL APPROXIMATION OF STATIONARY WAVE SOLUTIONS FOR TWO-COMPONENT SYSTEM OF NONLINEAR SCHRÖDINGER EQUATIONS BY USING GENERALIZATION PETVIASHVILI METHOD Robbaniyyah, Nuzla Af’idatur; Chern, Jann-Long; Abdurahim, Abdurahim
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1739-1752

Abstract

The Petviashvili method is a numerical method for obtaining fundamental solitary wave solutions of stationary scalar nonlinear wave equations with power-law nonlinearity: , where is a positive definite and self-adjoint operator and is constant. Due to the case being a system of solitary nonlinear wave equations, we generalize the Petviashvili method. We apply this generalized method for a two-component system of Nonlinear Schr dinger Equations (NLSE) for 2-D.
PERAMALAN SUHU UDARA RATA-RATA DI KOTA MATARAM MENGGUNAKAN METODE LEAST SQUARE Wardani, Putri Amalia; Anaras, Erin; Astuti, Dewi; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study focuses on forecasting the average air temperature in the city of Mataram by applying the Least Square method to determine data patterns based on historical data. The data used includes the average air temperature from 2019 to 2023, obtained from the BPS Mataram City. Based on the pattern used, the resulting forecasting model for the average air temperature is Ŷ = 27.44 - 0.143X. The forecasted results indicate a gradual decrease in the average air temperature from 2024 to 2030 in Mataram. This trend is reflected by the change in the forecasted average air temperature value in the model, with a rate of -0.143. The model's accuracy is demonstrated by a Mean Absolute Percentage Error (MAPE) of 3.22%, indicating a very good level of accuracy in forecasting the average air temperature for the predicted years. This research is expected to provide useful information for the community and relevant stakeholders in Mataram to anticipate temperature changes and to plan for better climate adaptation policies in the future.
Indeks Sombor dari Graf Koprima Prima untuk Grup Bilangan Bulat Modulo Abdurahim, Abdurahim; Satriyantara, Rio; Maulana, Fariz; Wardhana, I Gede Adhitya Wisnu; Robbaniyyah, Nuzla Af’idatur
JURNAL DIFERENSIAL Vol 7 No 2 (2025): November 2025
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v7i2.21120

Abstract

The prime coprime graph of integers modulo n is an ordered pair consisting of a set of vertices (integers modulo n) and edges. Two distinct vertices are said to be adjacent if the greatest common divisor (gcd) of their orders is either 1 or a prime number. This article discusses the prime coprime graph of integers modulo n for n = pq, where p < q are prime numbers. The results of the study include the degree characteristics of the vertices and the subgraphs formed. Additionally, the Sombor index of the graph is also determined.
Penguatan Kompetensi Profesional Guru Matematika Madrasah Tsanawiyah di Kota Mataram dalam Pembelajaran Geometri Melalui Pelatihan Pemanfaatan Tools Program GeoGebra Rusadi, Tri Maryono; Satriyantara, Rio; Robbaniyyah, Nuzla Af’idatur; Abdurahim, Abdurahim; Marwan, Marwan; Syamsul Bahri; Aini, Qurratul; Irwansyah, Irwansyah; Syechah, Bulqis Nebula; Salwa, Salwa; Awalushaumi, Lailia; Alfian, Muhammad Rijal; Maharani, Andika Ellena Saufika Hakim; Kurnia, Agus; Hidayat, Malik; Kusuma, Shendy Arya; Zikri, Lalu Muhammad Faiz
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i2.851

Abstract

This community service program was carried out with the primary objective of enhancing the professional competence of mathematics teachers at the Madrasah Tsanawiyah (MTs) level in Mataram City, particularly in the teaching of geometry. Recognizing the importance of mastering digital technology in modern mathematics learning, the program focused on the introduction and application of GeoGebra as an interactive medium for teaching geometry concepts. The activities were conducted at the Basic Computer Laboratory of the Faculty of Mathematics and Natural Sciences, Universitas Mataram, involving 18 MTs mathematics teachers. The program consisted of introducing fundamental concepts of geometry, hands-on training on the technical use of GeoGebra, and an evaluation of learning outcomes through pre-tests and post-tests. The evaluation results indicated an improvement in participants’ scores, demonstrating the effectiveness of the training. The teachers’ enthusiasm was evident from their active participation in discussions, asking questions, and exploring GeoGebra’s features during the training. The pre-test results showed that participants scored between 7 and 20, with an average of 13.56. Following the post-test, scores improved significantly, ranging from 20 to 28 with an average of 24.89. This confirms that all teachers, without exception, experienced an increase in scores. The positive impact of this program is expected to contribute to improving the quality of mathematics teaching at the MTs level.
Co-Authors Abdurahim, Abdurahim Agus Kurnia Anaras, Erin Anjani, Aulia Fadma Awwaliyah, Razma Rizqiyyah Chern, Jann-Long Choirunnisa, Fajarani Choirunnisa, Nabila Dewi Astuti Fadhilah, Rifdah Haizar, Maulana Rifky Hamdiah, Yulinda Raudatul Harsyiah, Lisa Hidayat, Malik I Gede Adhitya Wisnu Wardhana Irwansyah Irwansyah Jannah, Rafaatul Kusuma, Shendy Arya Lailia Awalushaumi, Lailia Maharani, Andika Ellena Saufika Hakim Marwan Marwan Maulana, Fariz Muhammad Rijal Alfian Qurratul Aini Rahmi, Dhea Wasila Rio Satriyantara Sabina, Sabna Zulfaa Salwa Salwa Syamsul Bahri Syechah, Bulqis Nabula Tri Maryono Rusadi Wardana, I Gede Adhitya Wisnu Wardani, Putri Amalia Zikri, Lalu Muhammad Faiz Zulhan Widya Baskara