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All Journal EIGEN MATHEMATICS JOURNAL Mandalika Mathematics and Educations Journal Contemporary Mathematics and Applications (ConMathA) MATHunesa: Jurnal Ilmiah Matematika Bakti Sekawan : Jurnal Pengabdian Masyarakat Jurnal Sains Natural Al-Aqlu : Jurnal Matematika, Teknik dan Sains Semeton Mathematics Journal
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 Engineering Health Professions Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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RICE HARVEST AREA FORECASTING USING MOVING AVERAGE METHOD FOR FOOD SECURITY PLANNING Maharani, Andika Ellena Saufika Hakim; Andriani, Helmina; Robbaniyyah, Nuzla Af'idatur; Salwa; Fatanaya, Nafika
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 3 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n3.p29-36

Abstract

Ensuring food security is a key part of sustainable development in Indonesia, especially since rice remains the country's staple crop. In regions like West Nusa Tenggara (NTB) Province, where rice harvest areas can vary significantly, having accurate forecasts is essential for effective planning. This study explores historical data on rice harvest areas in NTB to forecast future trends, uncover seasonal patterns, and assess long-term changes. To do this, we apply and compare three forecasting methods: Simple Moving Average (SMA), Weighted Moving Average (WMA), and Exponential Moving Average (EMA). Their performance is evaluated using accuracy measures such as Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE), with results also presented visually to support data-driven decision-making. Among the methods tested, EMA with a 3-period window (EMA-3) produced the most accurate forecasts. This is reflected in its lower RMSE and MAPE values compared to the other methods. Based on the MAPE results, EMA-3 proves to be a reliable method for forecasting rice harvest areas in NTB.
Analysis of Land Cover Change 2015-2023 in Bima Regency Using Google Earth Engine Asmawati, Ismi; Wulandari, Ika; Istiqomah, Nisa Ul; Robbaniyyah, Nuzla Af'idatur; Ulfa, Kurnia; Alfian, Muhammad Rijal
Jurnal Sains Natural Vol. 4 No. 1 (2026): Februari
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v4i1.843

Abstract

Land cultivation is one of the activities related to land conversion, this conversion is an activity to change part or all of the land function into other functions. Bima Regency is one of the areas that has experienced land cover change. The research aims to analyze land cover in Bima Regency using Landsat Centinel-2A on the GEE platform. GEE is an alternative to image processing because it allows users to access and analyze large amounts of geospatial data with high efficiency. Land area data is obtained on the platform using the NDVI method, then the accuracy test with the help of the Python programming language, the accuracy results for land cover 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023 Overall accuracy are 9.73%, 34.12%, 14.61%, 10.77%, 4.95%, 12.72%, 72.5%, 0.06% respectively. Based on the results of the study, land cover change in Bima District did not occur significantly, where there was a change in land cover below 25% in 2015 to 2023, except in 2016-2017 and 2021-2022. The low accuracy value indicates the limitations of simple NDVI-based classification methods in detecting detailed land cover changes. Therefore, the results of this study need to be understood in the context of the limitations of the method and can be used as a basis for developing more complex methods in future studies.
KONTROL OPTIMAL PADA MODEL EPIDEMIK PENYAKIT DEMAM BERDARAH DENGUE DI PROVINSI NUSA TENGGARA BARAT Robbaniyyah, Nuzla Af'idatur; Alfian, Muhammad Rijal; Syifa, Aulia
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 1 (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.
Utilization of Landsat 8 Imagery for Analyzing Land Surface Temperature in Sumbawa Regency from 2018 to 2022 Using Google Earth Engine Fauzi, Meilinda; Febrianti, Wiwit; Amini, Elsa; Robbaniyyah, Nuzla Af'idatur
Semeton Mathematics Journal Vol 3 No 1 (2026): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v3i1.370

Abstract

This study aims to analyze the land surface temperature in Sumbawa Regency from 2018 to 2022 using Landsat 8 imagery and the Google Earth Engine (GEE) platform. The surface temperature data was obtained from the Landsat 8 image collection with a spatial resolution of 1 km and a temporal resolution of 8 days. The Split Window Algorithm was used to calculate the land surface temperature based on thermal infrared data. The analysis process included image acquisition, selection of daytime temperature bands, and conversion of temperature from Kelvin to Celsius. The results showed variations in the average land surface temperature in Sumbawa Regency over the five-year period, with a decreasing temperature trend in certain years, possibly related to climatic factors and the increase in green open spaces. These data can be used to support natural resource management and mitigate the impacts of climate change in the region. This study also emphasizes the importance of utilizing remote sensing technology and cloud computing platforms for efficient and integrated geospatial analysis.
Co-Authors Abdullah, Umar Abdurahim, Abdurahim Al Paqih, Muhammad Imam Amini, Elsa Anjani, Mutia Dewi Asmawati, Ismi Az-Zahra, Al Farrah Choirunnisa, Fajarani Dani, Ifan Hasnan Fatanaya, Nafika Fauzi, Meilinda Febrianti, Wiwit Haizar, Maulana Rifky Hamdiah, Yulinda Raudatul Hardi, Rida Al Kausar Hardi, Rida Alkausar Harsyiah, Lisa Helmina Andriani Hidayatullah, Azka Farris Hidayatunnisa, Nurul Ika Wulandari Irwansyah Irwansyah Istiqomah, Nisa Ul Ivan Luthfi Ihwani, Ivan Luthfi Karang, Gusti Yogananda Kusuma, Shendy Arya Lailia Awalushaumi Lailia Awalushaumi, Lailia Lansuna, Ni Wayan Eka Maharani, Andika Ellena Saufika Hakim Malasso, Dede Ambiya Marwan Marwan Maulani, Septia Hasna Muhammad Rijal Alfian Muliyanti, Annisa Sri Pajri, Dwi Hafizatul Pradana, Satriawan Qurratul Aini Ramadhan, Fitrah Ramadhan, Hikmal Maulana Rani Maharani Rayes, Putri Rahmasari Rio Satriyantara Rizki, Miptahul Salwa Salwa Salwa Satryantara, Rio Septiawan, Redza Dwi Setiawati Setiawati Syamsul Bahri Syifa, Aulia Tri Maryono Rusadi Ulatalita, Nabila Anzela Ulfa, Kurnia Uluwi, Ahmad Ihsan Yumni Awanis, Zata Zahro, Uswatun Az Zikri, Lalu Muhammad Faiz Zulhan Widya Baskara