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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pendidikan Matematika Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Pilar Nusa Mandiri JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya EXPLORE EIGEN MATHEMATICS JOURNAL Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Varian Contemporary Mathematics and Applications (ConMathA) Majalah Ilmiah Matematika dan Statistika (MIMS) MATHunesa: Jurnal Ilmiah Matematika Fraction: Jurnal Teori dan Terapan Matematika EXPLORE Jurnal Pepadu Bakti Sekawan : Jurnal Pengabdian Masyarakat Basis : Jurnal Ilmiah Matematika Jurnal Sains Natural Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora Semeton Mathematics Journal Sinergi dan Harmoni Masyarakat MIPA IJASDS: Indonesian Journal of Applied Statistics and Data Science Stationer: Journal of Statistical Innovations and Applications
Muhammad Rijal Alfian
Program Studi Matematika, Fakultas MIPA, Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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Peningkatan Pemahaman Konsep Geometri melalui Visualisasi Sketsa Grafik Fungsi bagi Siswa Di SMA Negeri 1 Pujut Zulhan Widya Baskara; Abdurahim, Abdurahim; Robbaniyyah, Nuzla Af'idatur; Ramadhan, Hikmal Maulana; Hidayatullah, Azka Farris; Alfian, Muhammad Rijal; Bahri, Syamsul; Awalushaumi, Lailia; Syechah, Bulqis Nebula; Marwan, Marwan; Salwa, Salwa; Rusadi, Tri Maryono; Maharani, Andika Ellena Saufika Hakim; Harsyiah, Lisa; Baskara, Zulhan Widya; Satriyantara, Rio
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i1.733

Abstract

Geometry is one of the fundamental topics in mathematics, playing a crucial role in understanding shapes, sizes, positions, and spatial relationships between objects. Mastery of this concept is essential; however, in practice, many students still struggle to grasp geometry material. This issue is also evident at SMA Negeri 1 Pujut, where several students demonstrate a low level of understanding of geometric concepts. In response to this problem, the aim of the research is a community service activity was carried out in the form of tutoring sessions focused on improving students' understanding of geometry. This activity employed a visualization approach through function graph sketches to help students better comprehend the interconnections between concepts in a more concrete way. Based on the evaluation results, data showed that 86.67% of students exhibited improved learning outcomes after participating in the activity. This achievement indicates that the instructional method used by the facilitators was quite effective and well-received by the majority of participants.
Membangun Kemampuan Problem Solving Matematika Berbasis Pola Pikir Logis untuk Persiapan UTBK Abdurahim, Abdurahim; Salwa, Salwa; Ramadhan, Hikmal Maulana; Choirunnisa, Fajarani; Pradana, Satriawan; Marwan, Marwan; Alfian, Muhammad Rijal; Aini, Qurratul; Robbaniyyah, Nuzla Af'idatur; Awalushaumi, Lailia
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.v5i2.866

Abstract

Mastery of mathematical problem-solving skills based on logical reasoning is an important aspect in supporting students’ success in facing the Computer-Based Written Examination (UTBK). However, many students still encounter difficulties in understanding concepts and effectively solving UTBK-type questions. To address this issue, a community service program was conducted at SMA Negeri 1 Pujut with the aim of enhancing participants’ mathematical reasoning capacity. The activity began with an introduction to the Mathematics study program, followed by training sessions on strengthening concept mastery through logical reasoning and practice in solving UTBK questions, delivered by lecturers and students. The effectiveness of the training was evaluated through a comparison of participants’ pre-test and post-test results. This activity was attended by 30 students as training participants. The evaluation showed a significant improvement in post-test scores, with 83.33% of participants experiencing an increase in their scores, and the majority achieving above 60 in the post-test. These findings indicate that the applied training method was effective in improving students’ conceptual understanding of mathematics and their readiness to face the UTBK.
Analisis Faktor-Faktor Yang Mempengaruhi Besar Biaya Pengeluaran Belanja Online Mahasiswa Fmipa Universitas Mataram Menggunakan Regresi Tobit Widiawati, Tari Utami; Alfian, Muhammad Rijal; Baskara, Zulhan Widya
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 2 (2025): November
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i2.8975

Abstract

Kegiatan konsumsi mahasiswa disamping untuk keperluan kuliah, kegiatan konsumsi juga dilakukan untuk menunjang penampilan dengan membeli barang secara online. Dalam berbelanja online, besar biaya pengeluaran mahasiswa dapat dipengaruhi oleh berbagai fakor. Tujuan dari penelitian ini untuk mengetahui model dan menentukan faktor-faktor yang mempengaruhi besar biaya pengeluaran belanja online mahasiswa menggunakan regresi tobit dimana variabel terikatnya mempunyai pengamatan tidak lengkap atau terdapat data yang hilang. Data yang digunakan merupakan data biaya pengeluaran belanja online mahasiswa FMIPA Universitas Mataram dan menggunakan 8 variabel bebas. Berdasarkan hasil penelitian terdapat 7 variabel bebas yang dinyatakan dapat berpengaruh secara positif dan satu variabel bebas berpengaruh negatif terhadap biaya pengeluaran belanja online mahasiswa FMIPA. Namun dari model yang dihasilkan diperoleh nilai R2 yang sangat kecil yaitu 0,113. Artinya, hanya 11,3% variasi pengeluaran belanja online dapat dijelaskan oleh delapan variabel bebas yang digunakan dalam penelitian ini, sementara 88,7% sisanya dipengaruhi oleh faktor lain di luar model. Hal ini juga dapat dilihat dari sedikitnya variabel yang signifikan secara individu.
Utilization of GEE for Mapping Land Cover Changes in Settlements Before and After the 2018 Lombok Earthquake in North Lombok Regency Lia Fitta Pratiwi; Luzianawati; Nuzla Af'idatur Robbaniyyah; Kurnia Ulfa; Muhammad Rijal Alfian
Contemporary Mathematics and Applications (ConMathA) Vol. 8 No. 1 (2026)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v8i1.76412

Abstract

A major earthquake struck Lombok, West Nusa Tenggara, in 2018, causing significant infrastructure damage, including in North Lombok Regency. This study aims to analyze land cover changes in North Lombok Regency before and after the earthquake using Sentinel-2 Level-1C satellite imagery. Through supervised classification using the Maximum Likelihood method, changes in the area of various land cover types, such as Bare Land, Paddy Field, Dense Vegetation, Water Bodies, and Built-up Areas, were identified and analyzed temporally in 2017, 2020, and 2023. The results show that the earthquake caused drastic changes in land cover in the study area, particularly a decrease in the area of dense vegetation and an increase in the area of bare land. These changes indicate significant ecosystem disruption caused by the earthquake. Subsequently, a recovery trend was observed in the 2020-2023 period. Changes in land cover, especially in built-up areas and bare land, are consistent with the earthquake's impact and subsequent reconstruction efforts.
KONTROL OPTIMAL PADA MODEL EPIDEMIK PENYAKIT DEMAM BERDARAH DENGUE DI PROVINSI NUSA TENGGARA BARAT Nuzla Af'idatur Robbaniyyah; Muhammad Rijal Alfian; Aulia Syifa
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 01 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n1.p485-496

Abstract

Dengue haemorrhagic fever (DHF) is one of the dangerous and high-risk diseases in Indonesia. West Nusa Tenggara Province is one of the regions in Indonesia that is often reported to have a high number of DHF cases. In this research, SIR-SI disease transmission model of DHF is constructed with control in the form of the 3M program and treatment. The purpose of this research is to minimize the number of infected individuals and minimize the cost of control provided. The method used in this research is Pontryagin's minimum principle to determine the optimal control and forward-backward fourth order Runge-Kutta method to obtain the numerical solution. Based on the results and simulations research that has been conducted, it was obtained that the system is unstable at disease-free equilibrium point and asymptotically stable at endemic equilibrium point. Furthermore, with the implementation of control such as the 3M program and treatment effectively minimize the number of infected individuals while keeping the cost of control provided for 90 days.
Comparison of Apple Inc Stock Forecasting Accuracy Using Hybrid TSR Linear-ARIMA Model and ARIMA Model Aulia Padhila; Muhammad Rijal Alfian; Nur Asmita Purnamasari
Stationer: Journal of Statistical Innovations and Applications Vol. 1 No. 1 (2026): Stationer: Journal of Statistical Innovations and Applications
Publisher : Stationer: Journal of Statistical Innovations and Applications

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

Abstract

This study aims to compare the accuracy of Apple Inc. stock price forcasting using two time series models, namely the hybrid TSR Linear-ARIMA model and the ARIMA model. The background of this research is the need for more accurate forcasting methods in a dynamic stock market, especially for technology stocks such as Apple which have high volatility. The research methodology uses the quantitative approach with daily Apple stock price time series data for the period 2023. The hybrid TSR Linear-ARIMA model incorporates trend and residual components, while the ARIMA model uses the Box-Jenkins approach. Both models were implemented using statistical software R Studio and Minitab. The results that the ARIMA model provided better forcasting accuracy compared to the hybrid TSR Linear-ARIMA model. Comparative analysis using the MAPE shows the ARIMA model has a lowwer error rate. Specifically, the ARIMA model produces a MAPE of 2.909%, while the hybrid TSR Linear-ARIMA model produces a MAPE of 3.780%. in conclusion, the ARIMA model proved to be more effective in forecasting the stock price of Apple Inc. compared to the hybrid TSR Linear-ARIMA model. This research contributes to the development of forecasting techniques in finance and investment, especially for technology stock.
LAND COVER CHANGE ANALYSIS IN TERONG TAWAH USING GOOGLE EARTH ENGINE Muhammad Adriyansyah; Fitrah Ramadhan; Dimas Indrawardi; Nuzla Af'idatur Robbaniyyah; Kurnia Ulfa; Muhammad Rijal Alfian
Fraction: Jurnal Teori dan Terapan Matematika Vol. 6 No. 1 (2026): FRACTION: Jurnal Teori dan Aplikasi Matematika
Publisher : Jurusan Matematika, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/fraction.v6i1.111

Abstract

This study analyzes land cover changes in Terong Tawah Village, West Lombok using Google Earth Engine (GEE) as the main platform. Landsat 8 satellite imagery data for 2015, 2018, 2022, and 2023 was used to classify five types of land cover: forests, settlements, fields, vacant land, and roads. The methods applied include data preprocessing, classification using the Random Forest algorithm, and spatial change analysis. The results show significant trends, such as an increase in settlement area and a decrease in vegetation. Validation of classification accuracy results in an overall accuracy value of above 93% per year. This study demonstrates the effectiveness and accuracy of GEE in analyzing land cover changes and provides important insights into development dynamics in Terong Tawah Village.
Identifikasi Jenis Kerusakan Perkerasan Jalan Menggunakan Metode Single Shot Detector Guna Meningkatkan Infrastruktur Pariwisata Tri Maryono Rusadi; Syamsul Bahri; Bulqis Nebulla Syechah; Muhammad Rijal Alfian; Nuzla Af’idatur Robbaniyyah
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 10, No 3 (2026): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v10i3.26809

Abstract

Kerusakan jalan pada kawasan pariwisata perlu diidentifikasi secara cepat dan akurat untuk mendukung keselamatan serta kualitas infrastruktur. Penelitian ini mengembangkan sistem identifikasi kerusakan perkerasan jalan berbasis citra digital menggunakan metode Single Shot Detector (SSD) dengan backbone MobileNet. Data diperoleh melalui perekaman video permukaan jalan, kemudian diekstraksi menjadi citra dan diproses melalui tahapan preprocessing seperti peningkatan kontras, penajaman, noise filtering, dan kompresi. Dataset terdiri dari empat jenis kerusakan—berlubang, bergelombang, amblas, dan retak kulit buaya—dengan total 978 citra yang dibagi menjadi data latih, validasi, dan uji. Hasil pengujian menunjukkan bahwa model SSD-MobileNet menghasilkan akurasi terbaik sebesar 80,41% pada batch size 64, dengan nilai mean Average Precision (mAP) 88,35%. Evaluasi lebih lanjut menunjukkan bahwa jenis kerusakan berlubang memiliki performa deteksi terbaik dengan nilai recall 92% dan F1-score 83,64%, sedangkan kerusakan amblas memiliki nilai terendah namun tetap berada di atas 50%. Temuan ini menunjukkan bahwa model mampu mengidentifikasi kerusakan jalan secara efektif dan berpotensi diterapkan dalam sistem pemantauan infrastruktur berbasis citra digital untuk mendukung pembangunan daerah pariwisata.
ANALISIS TRAVELLING WAVE PADA MODEL DETERMINISTIK WABAH MONKEYPOX MENGGUNAKAN METODE CRANK- NICHOLSON Nuzla Af'idatur Robbaniyyah; Muhammad Rijal Alfian; Elyin Fitrawati
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 02 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n02.p10-21

Abstract

Health issues are still a global problem that is one of the focuses in the sustainable goals known as SDGs. Monkeypox or commonly called monkey pox is an infectious disease caused by orthopoxvirus. This disease was first discovered in 1970 and has returned to various countries since 2022 with the emergence of new, more dangerous clusters. Due to concerns about the widespread and uncontrollable spread of Covid-19, in this study, a traveling wave analysis was carried out on a deterministic model of the spread of monkeypox in humans using the Crank- Nicholson method. The diffusion equation is added to the model to form a diffusion reaction equation that will be solved to obtain a traveling wave solution. Based on the research that has been done, the results are obtained in the form of monkeypox traveling wave speed in the exposed and infected compartments around the disease-free and endemic fixed points. Based on the simulation results using the Crank-Nicholson method, it is concluded that the pattern formed describes a local outbreak that is temporary, does not develop into a large pandemic and tends to subside after spreading to a certain area.
Co-Authors Abdurahim, Abdurahim Abdurrahman Salim Agus Kurnia Agustina, Amalia Ahmad Subki ahmad yani Al Paqih, Muhammad Imam Atikah, Tika Dewi Aulia Padhila Aulia Syifa Awalusshaumi, Lailia Azmi, Kamalatul Budhy Kurniawan Cahyani, Ade Indah Choirunnisa, Fajarani Dani, Ifan Hasnan Dimas Indrawardi Dwi Noorma Putri Efendi, Muhammad Masjun Elyin Fitrawati Erfan Wahyudi Fadillah, Muhammad Fatanaya, Nafika Fitrah Ramadhan Galuh Tresnani Hambali Hambali Hamdi, Ahmadil Hamsini, Lasmi Hardi, Rida Alkausar Harsiyah, Lisa Harsyiah, Lisa Helmina Andriani Hidayat, Malik Hidayatullah, Azka Farris Hidayatunnisa, Nurul Humamurrizqi, Humamurrizqi I Gede Adhitya Wisnu Wardhana Immy Suci Rohyani Imran, Bahtiar Irwansyah Irwansyah ISLAMUL HADI Jamaludin . Karina Nurwijayanti Kurnia Ulfa Kusuma, Shendy Arya Lailia Awalushaumi Lailia Awalushaumi, Lailia Lalu Delsi Samsumar, M.Eng. Lestari, Natasya Dyahayu Lia Fitta Pratiwi Luzianawati Maharadatunkamsi Maharadatunkamsi, Maharadatunkamsi Maharani, Andika Ellena Saufika Hakim Marwan - Marwan Marwan Marwan Marwan Maulana, Fariz Meida, Inka Nurul Moh Subli Moh. Subli Muhammad Adriyansyah Muhammad Masjun Efendi Ni Wayan Switrayni Nur Asmita Purnamasari Nurlaila Mubarokah Nurul Fitriyani Nurul Inayah Nuzla Af'idatur Robbaniyyah Nuzla Af'idatur Robbaniyyah Nuzla Af'idatur Robbaniyyah Nuzla Af’idatur Robbaniyyah Pradana, Satriawan Qurratul Aini Qurratul Aini Ramadhan, Hikmal Maulana Rani Maharani Ratih, Wahyu Erinna Rio Satriyantara Risnawati Risnawati Rizki Fitri Ananda Robbaniyyah, Nuzla Af'idatur Robbaniyyah, Nuzla Af’idatur Sadewo, Imran Safrudin, Muhamad Sahrin, Laila Alfi Salman Salman Salwa Salwa Saofitri, Saofitri Satryantara, Rio Setiandini, Gifani Putri Sholihah, Dynda Aisyah Syafitri Sigit Wiantoro, Sigit Subki, Ahmad Supardiono, Supardiono Syafitri, Hanna Syamsul Bahri Syamsul Bahri Syamsul Bahri Syechah, Bulqis Nabula Syifa, Aulia Taufik Hidayat Tri Maryono Rusadi Ulatalita, Nabila Anzela Ulfa, Kurnia Wardana, I Gede Adhitya Wisnu Widiawati, Tari Utami Yuliadi Zamroni Yunus, Muhammad Ahladi Zaeniah Zaeniah Zahro, Annisa Syifa Zikri, Lalu Muhammad Faiz Zulhan Widya Baskara