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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Pendidikan Matematika Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Pilar Nusa Mandiri 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) EXPLORE Jurnal Pepadu Bakti Sekawan : Jurnal Pengabdian Masyarakat Basis : Jurnal Ilmiah Matematika JSN : Jurnal Sains Natural Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora Semeton Mathematics Journal Sinergi dan Harmoni Masyarakat MIPA
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 Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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Journal : Semeton Mathematics Journal

 1 
Analysis of Changes in Agricultural Land Area in Central Lombok Regency Using Google Earth Engine Ulatalita, Nabila Anzela; Fatanaya, Nafika; Ulfa, Kurnia; Robbaniyyah, Nuzla Af'idatur; Alfian, Muhammad Rijal
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.317

Abstract

Agricultural land plays a vital role in supporting food security and the regional economy; however, rapid development often leads to land-use conversion. This study aims to analyze changes in agricultural land in Central Lombok Regency over the past ten years (2014–2023) using the Google Earth Engine (GEE) platform. The research utilized Landsat satellite imagery to classify land cover types and identify agricultural areas through supervised classification and change detection techniques. The analysis results show a significant decline in agricultural land area, from 29% in 2014 to 26% in 2023. This decrease indicates a conversion of agricultural land to other more economically profitable uses, such as infrastructure development and plantation expansion. The accuracy assessment yielded an overall accuracy of 99%, which is categorized as very good, demonstrating the reliability of the model in mapping land-use changes. The findings of this study are expected to provide useful insights for policymakers in promoting sustainable land-use planning and mitigating the negative impacts of land conversion on the agricultural sector in Central Lombok Regency.
Optimasi Keuntungan Pertanian Melalui Program Linear: Studi Kasus pada Pertanian Padi dan Jagung Cahyani, Ade Indah; Meida, Inka Nurul; Hasanah, Iswatun; Alfian, Muhammad Rijal; Maharani, Andika Ellena Saufika Hakim
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.318

Abstract

 Indonesia is an agrarian country with great potential in the agricultural sector, particularly in key commodities such as rice and corn, which play an important role in food security and animal feed. However, limited resources such as land, fertilizer, and labor pose challenges in achieving production efficiency and maximum profits. This study aims to optimize agricultural land allocation to maximize profits using a linear programming model. The case study was conducted on agricultural land owned by a resident of Bajo Village, Bima Regency, West Nusa Tenggara. Primary data was collected through direct interviews, including land area, input requirements (fertilizer, pesticides, herbicides, and labor), and profit per hectare. The model was solved using the graphical method with the assistance of POM-QM for Windows and Google Colab application. The analysis results indicate that the optimal land allocation is 3.65 hectares for rice and 2.54 hectares for corn, yielding a maximum profit of Rp58.906.350,00. This solution meets all available resource constraints. These findings indicate that the linear programming approach is effective in helping farmers make data-driven decisions to improve land and resource management efficiency. The application of this model also opens opportunities for the implementation of similar methods in other sustainable agricultural planning, particularly in the context of small-scale agriculture with limited resources.
Application of Google Earth Engine for Agriculture Drought Monitoring in East Lombok Robbaniyyah, Nuzla Af'idatur; Hidayatunnisa, Nurul; Maharani, Rani; Ulfa, Kurnia; Alfian, Muhammad Rijal
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.319

Abstract

In tropical regions such as East Lombok Regency, where food production is highly dependent on rainfall, drought poses a major threat to the agricultural sector. This study aims to monitor drought patterns over time using Google Earth Engine (GEE). Vegetation indices, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Difference Drought Index (NDDI), were derived from Landsat 8 satellite imagery. The analysis revealed that during the dry season, particularly in August and September, the southern region—especially Jerowaru Sub-district—experienced severe drought conditions. The western parts, including Sambelia, Pringgabaya, and Suela Sub-districts, were also significantly affected, with the most impacted areas being rain-fed rice fields, corn plantations, and mixed horticultural crops. Temporal trend analysis indicated an increasing drought intensity in the later years of observation. The resulting information can support decision-making in drought risk mitigation and sustainable water resource management. By integrating satellite-based drought assessment with agricultural planning, this approach can strengthen food security and promote adaptive agricultural practices in drought-prone regions such as East Lombok Regency.
Co-Authors Abdurahim, Abdurahim Abdurrahman Salim AGUS KURNIA Agustina, Amalia Ahmad Subki ahmad yani Al Paqih, Muhammad Imam Anak Agung Istri Sri Wiadnyani Atikah, Tika Dewi Awalusshaumi, Lailia Azmi, Kamalatul Budhy Kurniawan Cahyani, Ade Indah Choirunnisa, Fajarani Dani, Ifan Hasnan Dwi Noorma Putri Efendi, Muhammad Masjun Fadillah, Muhammad Fatanaya, Nafika 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 Iswatun Hasanah Jamaludin . Karina Nurwijayanti Kusuma, Shendy Arya Lailia Awalushaumi Lailia Awalushaumi, Lailia Lalu Delsi Samsumar, M.Eng. Lestari, Natasya Dyahayu Maharadatunkamsi Maharadatunkamsi, Maharadatunkamsi Maharani, Andika Ellena Saufika Hakim Marwan - Marwan Marwan Marwan Marwan Maulana, Fariz Meida, Inka Nurul Moh Subli Moh. Subli Muhammad Masjun Efendi Ni Wayan Switrayni Nurlaila Mubarokah Nurul Fitriyani Nurul Inayah Nuzla Af'idatur Robbaniyyah Pradana, Satriawan Putra, Lalu Riski Wirendra 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 Syechah, Bulqis Nabula Syifa, Aulia Taufik Hidayat Tri Maryono Rusadi Ulatalita, Nabila Anzela Ulfa, Kurnia Wardana, I Gede Adhitya Wisnu Yuliadi Zamroni Yunus, Muhammad Ahladi Zaeniah Zaeniah Zahro, Annisa Syifa Zikri, Lalu Muhammad Faiz