{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T22:30:35Z","timestamp":1730241035307,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,10]]},"DOI":"10.1109\/iceei59426.2023.10346739","type":"proceedings-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T19:23:50Z","timestamp":1702927430000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Estimation of Rice Harvested Area in the Rainy and Dry Seasons Using Remote Sensing Data"],"prefix":"10.1109","author":[{"given":"Vivi Cantika Permata","family":"Haji","sequence":"first","affiliation":[{"name":"Politeknik Statistika STIS,Department of Statistical Computing,Jakarta,Indonesia"}]},{"given":"Rani","family":"Nooraeni","sequence":"additional","affiliation":[{"name":"Politeknik Statistika STIS,Department of Statistical Computing,Jakarta,Indonesia"}]},{"given":"Okky Rizky","family":"Saputra","sequence":"additional","affiliation":[{"name":"Politeknik Statistika STIS,Department of Statistics,Jakarta,Indonesia"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"1","article-title":"Multiple Linear Regression Analysis to Determine the Effect of Rainfall on Harvested Area and Production of Rice and Corn in East Java","volume":"6","author":"Choirianisa","year":"2017","journal-title":"Analisis Regresi Linier Berganda untuk Mengetahui Pengaruh Curah Hujan Terhadap Luas Panen Serta Produksi Padi dan Jagung di Jawa Timur"},{"issue":"1","key":"ref2","article-title":"Rice Productivity in the Rainy and Dry Seasons in the Cirebon Girang Village Area","volume":"8","author":"Jaenudin","year":"2020","journal-title":"Produktivitas Padi Pada Musim Penghujan dan Musim Kemarau di Wilayah Desa Cirebon Girang,\u201d Jurnal Agroswagati"},{"key":"ref3","article-title":"The Impact of Climate Change on Rice Plants in Central Java","author":"Sumastuti","year":"2016","journal-title":"Dampak Perubahan Iklim Pada Tanaman Padi Di Jawa Tengah"},{"key":"ref4","article-title":"Analysis of decreasing production of paddy due to climate change in Bandung district West Java","author":"Ruminta","year":"2016","journal-title":"Analisis penurunan produksi tanaman padi akibat perubahan iklim di Kabupaten Bandung Jawa Barat"},{"issue":"2","key":"ref5","first-page":"121","article-title":"Factors Influencing Farmers Decisions to Adapt to Climate Change","volume":"4","author":"Asyrofi","year":"2020","journal-title":"Faktor-Faktor Yang Mempengaruhi Keputusan Petani Membangun Melakukan Adaptasi Perubahan Iklim\u201d, Jurnal Penelitian Pengelolaan Daerah Aliran Sungai"},{"key":"ref6","article-title":"Farmers Remain Productive During the Dry Season","volume-title":"Petani Tetap Produktif Saat Musim Kemarau","author":"Kominfo","year":"2018"},{"key":"ref7","article-title":"Ministry of Agricultures Commitment to Fulfill Food Needs Throughout 2023","volume-title":"Komitmen Kementan Penuhi Kebutuhan Pangan Sepanjang Tahun 2023","author":"Kementan","year":"2023"},{"volume-title":"Rice Commodity Profile","author":"Kemendag","key":"ref8"},{"year":"2022","journal-title":"Distribusi Perdagangan Komoditas Beras Indonesia 2022. Jakarta: BPS RI","article-title":"Indonesian Rice Commodity Trade Distribution 2022","key":"ref9"},{"key":"ref10","article-title":"Food Security Analysis for 2022","author":"Pertanian","year":"2022","journal-title":"Analisis Ketahanan Pangan Tahun 2022. Jakarta: Pusat Data dan Sistem Informasi Pertanian Kementerian Pertanian 2022"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.36574\/jpp.v3i2.78"},{"key":"ref12","article-title":"Combination of Area Sampling Survey and Remote Sensing for Estimating Paddy Area during the Pandemic Period (Ksa-Hybrid) Case Study in Lampung Province","author":"Khasanah","year":"2020","journal-title":"Kombinasi Survei Kerangka Sampel Area dan Remote Sensing Untuk Estimasi Luas Tanaman Padi di Masa Pandemi (Ksa-Hybrid) Studi Kasus Di Provinsi Lampung,\u201d Jurnal Aplikasi Statistika and Komputasi Statistik"},{"year":"2018","journal-title":"Upaya Perbaikan Data Padi dengan Metode Kerangka Sampel Area (KSA) 2018. BPS","article-title":"Efforts to Improve Rice Data Using the 2018 Area Sampling Framework (KSA) Method","key":"ref13"},{"key":"ref14","article-title":"Estimation of Rice Planting Area with Deep Learning on Sentinel-2 and Landsat-8 Medium Resolution Satellite Imagery","author":"Saadi","year":"2021","journal-title":"Estimasi Luas Area Tanam Padi dengan Deep Learning pada Citra Satelit Resolusi Menengah Sentinel-2 dan Landsat-8. Politeknik Statistika STIS"},{"year":"2018","journal-title":"Pedoman Teknis Pendataan Statistik Pertanian Tanaman Pangan Terintegrasi dengan Metode Kerangka Sampel Area (KSA). Badan Pusat Statistik","article-title":"Technical Guidelines for Integrated Food Crop Agriculture Statistical Data Collection with the Area Sampling Framework (KSA) Method","key":"ref15"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.3390\/rs11020111"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.3390\/su13020503"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1117\/1.JRS.8.083657"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1002\/9781119523048"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/j.ejrs.2020.06.007"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1016\/B978-012369407-2\/50004-8","volume-title":"Remote Sensing: Models and Methods for Image Processing","author":"Schowengerdt","year":"2007"},{"key":"ref22","article-title":"Remote Sensing Image Quality Improvement Application Using the Contrast Stretching Method","author":"Purba","year":"2017","journal-title":"Aplikasi Perbaikan Kualitas Citra Hasil Penginderaan Jauh (Remote Sensing) Dengan Metode Contrast Stretching"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.3390\/rs13071391"},{"key":"ref24","article-title":"Estimation of Rice Productivity Levels Based on NDVI, EVI and SAVI Algorithms Using Sentinel-2 Multitemporal Imagery (Case Study: Pekalongan Regency, Central Java)","author":"Ariani","year":"2020","journal-title":"Estimasi Tingkat Produktivitas Padi Berdasarkan Algoritma NDVI, EVI dan SAVI Menggunakan Citra Sentinel-2 Multitemporal (Studi Kasus: Kabupaten Pekalongan, Jawa Tengah)"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/tgrs.2009.2014053"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/JSTARS.2018.2834383"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.33480\/techno.v20i1.4028"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1007\/springerreference_106815"},{"volume-title":"Luas Panen, Produksi, dan Produktivitas Padi Menurut Provinsi 2020-2022","year":"2022","article-title":"Rice Harvested Area, Production, and Productivity by Province 2020-2022","key":"ref29"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1016\/j.rse.2011.04.018"},{"issue":"1","key":"ref31","first-page":"112","article-title":"Rice Productivity Estimation Using Remote Sensing Techniques in Supporting the Food Self-Sufficiency Program","volume":"14","author":"Nafi","year":"2017","journal-title":"Estimasi Produktivitas Padi Menggunakan Teknik Penginderaan Jauh dalam Mendukung Program Swasembada Pangan,\u201d Jurnal Geografi: Media Informasi Pengembangan dan Profesi Kegeografian"},{"key":"ref32","article-title":"Analysis of Changes in Forest Density Using the Ndvi and Evi Methods on Landsat 8 Satellite Imagery 2013 and 2016, Study Area: Semarang Regency","author":"Prasetyo","year":"2017","journal-title":"Analisis Perubahan Kerapatan Hutan Menggunakan Metode Ndvi dan Evi pada Citra Satelit Landsat 8 Tahun 2013 dan 2016, Area Studi: Kabupaten Semarang"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1016\/S0034-4257(96)00067-3"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1016\/j.jum.2021.09.002"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1007\/springerreference_178869"},{"issue":"1","key":"ref36","first-page":"1525","article-title":"Root mean square error (RMSE) or mean absolute error (MAE)","volume":"7","author":"Chai","year":"2014","journal-title":"Geoscientific model development discussions"}],"event":{"name":"2023 International Conference on Electrical Engineering and Informatics (ICEEI)","start":{"date-parts":[[2023,10,10]]},"location":"Bandung, Indonesia","end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 International Conference on Electrical Engineering and Informatics (ICEEI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10346236\/10346214\/10346739.pdf?arnumber=10346739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T03:11:28Z","timestamp":1705029088000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10346739\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,10]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/iceei59426.2023.10346739","relation":{},"subject":[],"published":{"date-parts":[[2023,10,10]]}}}