Article Per Year (5 Year)
p-Index From 2021 - 2026
3.703
P-Index
This Author published in this journals
All Journal International Journal of Public Health Science (IJPHS) Indonesian Journal of Geography Geo Media: Majalah Ilmiah dan Informasi Kegeografian Media Komunikasi Geografi Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Teknosains Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Ketahanan Nasional JURNAL AGROTEKNOLOGI Forum Geografi GEA, Jurnal Pendidikan Geografi Jurnal Fisika FLUX Journal of Applied Geospatial Information Jurnal Geografi Forest and Society International Journal of Remote Sensing and Earth Sciences (IJReSES) JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Jurnal Geosains dan Remote Sensing (JGRS) geoedusains: Jurnal Pendidikan Geografi GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi JKKI : Jurnal Kedokteran dan Kesehatan Indonesia Proceeding ISETH (International Summit on Science, Technology, and Humanity) Jurnal Manusia dan Lingkungan Aerospace Engineering IJES : Indonesian Journal of Environmental Sustainability. The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Prima Widayani
Magister Penginderaan Jauh, Fakultas Geografi, Universitas Gadjah Mada
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Kajian Multitemporal Tingkat Keparahan Kebakaran Hutan dan Lahan di Kabupaten Muaro Jambi Menggunakan Penginderaan Jauh Arrafi, Muhammad; Widayani, Prima; Arjasakusuma, Sanjiwana
Aerospace Engineering Vol. 1 No. 3 (2024): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/aero.v1i3.2498

Abstract

Kabupaten Muaro Jambi merupakan kabupaten dengan intensitas kebakaran hutan dan lahan tertinggi di Provinsi Jambi. Pada tahun 2019 terjadi kebakaran hutan dan lahan terbesar di Provinsi Jambi, khususnya Kabupaten Muaro Jambi yang mengakibatkan fenomena langit memerah akibat tebalnya kabut asap kebakaran. Pemetaan keparahan kebakaran hutan dapat dilakukan secara efisien memanfaatkan teknologi penginderaan jauh karena mampu menghemat waktu, biaya, dan tenaga. Citra Landsat 8 digunakan pada penelitian ini sebagai input untuk melakukan transformasi indeks Normalized Burn Ratio (NBR). Indeks NBR memanfaatkan saluran NIR dan SWIR yang mampu membedakan area terbakar dengan baik. Selisih antara nilai NBR sebelum dan NBR sesudah kebakaran akan menghasilkan informasi berupa tingkat keparahan kebakaran hutan dan lahan di Kabupaten Muaro Jambi. Hasil penelitian ini menunjukkan bahwa tingkat keparahan kebakaran pada tahun 2019 – 2020 didominasi oleh kelas keparahan rendah namun terjadi masif. Selanjutnya pada periode tahun 2019 – 2021 area-area yang terbakar sudah mengalami proses pertumbuhan vegetasi yang tinggi.
Land-Cover Change Detection in Batur Catchment Area Using Remote Sensing Ni Kadek Oki Febrianti; Projo Danoedoro; Prima Widayani
JURNAL GEOGRAFI Vol 15, No 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.32670

Abstract

Land cover information is an essential aspect in the planning and management of earth modeling and understanding. Land cover changes impact the physical and social environment, such as hydrological conditions and ecological systems. This study aimed to identify spatial differences in the land cover of the Batur catchment area from 2015-2021 by using a remote sensing approach to describe the existing land-cover site and to detect its changes. The methods used in this study are a combination of the vegetation index and a supervised classification maximum likelihood algorithm with Landsat 8 OLI/TIRS in 2015 and 2021. Furthermore, the Change Detection Feature, identified from two image periods in 2015-2021 and processed, is used to detect changes in land cover. The accuracy assessment utilized QuickBird imagery recorded in 2015; field survey data were taken in 2021. The results showed that between 2015 to 2021, built-up area, bare land, shrubs, and lake have increased by 102,66% (306,01 ha), 27,95% (452,25 ha), 15,20% (215,72 ha) and 4,05 % (62,73 ha) while dryland forest and dry-dry-field have decreased by -25,84% (-606,29 ha) and -14.59% (-430,42 ha), respectively. The overall accuracy of the multispectral classification results in 2015 and 2021 was 82,63% and 89,57%.Keywords: Land-Cover Change; Batur; Catchment Area; Remote Sensing 
Perhitungan Net Primary Productivity (NPP) Harian Menggunakan Model CASA Berbasis Citra Penginderaan Jauh di Kabupaten Muaro Jambi Muhammad Arrafi; Prima Widayani; Sanjiwana Arjasakusuma
Jurnal Geosains dan Remote Sensing Vol 5 No 2 (2024): JGRS Edisi November
Publisher : Department of Geophysical Engineering, Faculty of Engineering, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jgrs.ft.unila.305

Abstract

Perubahan alih fungsi lahan di Kabupaten Muaro Jambi terjadi secara masif, terutama akibat pembukaan lahan baru melalui metode pembakaran. Kebakaran hutan terbesar tercatat pada tahun 2019, menyebabkan gangguan ekosistem yang berlangsung beberapa tahun di Kabupaten Muaro Jambi. Net Primary Productivity (NPP) menjadi indikator kunci untuk mengukur dampak perubahan lingkungan, menjadikan studi ini sangat penting untuk pemantauan perubahan iklim dan pembangunan ekologi yang berkelanjutan. Umumnya NPP dihitung secara bulanan atau tahunan, namun perkembangan teknologi penginderaan jauh dapat digunakan untuk mengestimasi NPP dengan efektif dan efisien pada tingkat lanskap hingga tingkatan temporal yang pendek. Model CASA, yang umum digunakan, memanfaatkan radiasi efektif fotosintesis vegetasi dan energi cahaya aktual untuk memperkirakan NPP. Penelitian ini bertujuan mengaplikasikan model CASA untuk menghitung NPP harian di Kabupaten Muaro Jambi akibat kebakaran tahun 2019. Penelitian ini menghasilkan perhitungan nilai NPP harian dalam satuan gC/MJ-1 yang disesuaikan dengan waktu perekaman citra Landsat terbersih setelah kebakaran hutan tahun 2019.
Total Suspended Solid (TSS) Study in Gajah Mungkur Reservoir Based on Landsat Image Analysis Astuti, Nurul; Murti, Sigit Heru; Widayani, Prima
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 21, No 2 (2024): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v21i2.17749

Abstract

Total Suspended Solid (TSS), as one of the physical parameters of water quality, can also become an indicator in more comprehensive research themes. TSS is closely related to the process of erosion and sedimentation. One of the reservoirs that is experiencing serious problems with sedimentation is WGM. In terms of physical changes, alterations in water quality involve the introduction of both organic and inorganic solid particles, leading to elevated water turbidity and diminished penetration of sunlight into the water body. Remote sensing techniques can indirectly estimate and map TSS in bodies of water. Landsat imagery has been widely used in TSS studies. Not only is it able to identify water turbidity, but it also has a long time series and convenient data accessibility. The purpose of this research is to examine the TSS equation in the form of Normalised Suspended Material Index (NSMI) and the Syarif Budhiman Algorithm to obtain a comparison of results that are suitable for application to the waters of WGM using Landsat imagery. The results showed that the Syarif Budhiman Algorithm is considered more suitable to be applied to the study site based on statistical analysis using Landsat image data and field TSS sample data. The accuracy test results for the two equations did not show significant differences. The Syarif Budhiman equation showed a value of 37.87, and the NSMI equation of 37.47. However, the coefficient of model determination was 0.251 for NSMI and 0.340 for Syarif Budhiman. The distribution of TSS at the study site is generally homogeneously distributed with small concentrations ranging from 0-20 mg/L in the middle side of the reservoir. While the TSS class > 100 mg/L is scattered on the edge of the reservoir in Pondok, Keduang, Kepuh Wiroko, Temon, Bengawan Solo Hulu, Alang, and Kedungguling sub-watersheds
ANALISIS JENIS BUDIDAYA TEBU MENGGUNAKAN ALGORITMA RANDOM FOREST (STUDI KASUS KECAMATAN TAJINAN, KABUPATEN MALANG) Nurhadi, Muhammad; Widayani, Prima; Wibowo, Sandy Budi
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 2 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.2.6

Abstract

Indonesia's national sugar demand continues to increase, while domestic production is still limited due to the lack of accurate data on the area and type of sugarcane cultivation. To address this issue, this research utilized the Random Forest (RF) algorithm on PlanetScope satellite imagery to classify the types of sugarcane cultivation, i.e. early planted sugarcane and pressed sugarcane. This study offers a more detailed approach than previous studies by dividing sugarcane based on its growth cycle into two main classes: < 3 times and ≥ 3 times. The results showed that the Random Forest (RF) method was able to increase the mapping accuracy to 94.52%, higher than conventional methods which are generally in the range of 85-91%. Of the three classification schemes tested, Scheme 3 produced the best performance with an accuracy of 94.52% and a Kappa coefficient of 43.87%. The mapping results also revealed that sugarcane cultivation of ≥ 3 squeezes dominated the study area with 93.08% coverage of the total sugarcane land, while sugarcane of < 3 squeezes only covered 7.55%. The difference between the classification results and the field data shows that the imbalance in the number of samples and spectral similarity between classes are the main challenges in mapping sugarcane cultivation. This finding proves that the Random Forest algorithm with PlanetScope images can significantly improve the accuracy of sugarcane cultivation type mapping compared to previous methods. The results of this study make an important contribution in providing more accurate spatial data to support sugarcane production estimation, optimization of plantation management, and strategic planning in achieving national sugar self-sufficiency.
Analisis Ketersediaan Ruang Terbuka Hijau Menggunakan Citra Planet Di Kecamatan Sewon, Bantul Zahrotunisa, Siti; Hidayatullah, Faqih; Widayani, Prima; Chusni, Muhammad Minan
geoedusains: Jurnal Pendidikan Geografi Vol. 6 No. 1 (2025)
Publisher : Pendidikan Geografi Fakultas Keguruan dan Ilmu Pendidikan Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geoedusains.v6i1.5058

Abstract

Ruang Terbuka Hijau (RTH) adalah ruang terbuka bervegetasi dengan fungsi yang beragam. Namun, seiring berkembangnya lahan terbangun menyebabkan keberadaan RTH semakin berkurang. Penelitian ini bertujuan untuk mengetahui akurasi informasi RTH yang diperoleh dari interpretasi visual citra Planet di Kecamatan Sewon, mengetahui ketersediaan RTH berdasarkan kepemilikan, dan mengetahui ketersediaan RTH berdasarkan kebutuhan oksigen. Data penginderaan jauh yang digunakan adalah citra Planet sedangkan data sekunder berupa jumlah penduduk, jumlah kendaraan, dan jumlah hewan ternak. Metode yang digunakan dalam penelitian ini adalah interpretasi visual pada citra Planet, metode Gerarkis, dan Confusion Matrix. Hasil penelitian menunjukkan bahwa citra Planet dapat digunakan untuk memperoleh informasi RTH dengan akurasi 87.1%. RTH di Kecamatan Sewon berdasarkan status kepemilikan publik sebesar 11.11% dan privat 25.47% sehingga perlu dilakukan penambahan RTH publik. Selain itu, kebutuhan RTH berdasarkan metode Gerarkis menunjukkan bahwa oksigen sudah terpenuhi. Pemetaan RTH menggunakan citra Planet dapat dijadikan sebagai data masukan dalam perumusan kebijakan lingkungan dan perencana kota, yaitu merancang tata ruang yang berkelanjutan serta memperhitungkan keberadaan dan kebutuhan RTH di masa depan.
RESISTANCE OF Aedes aegypti TO ORGANOPHOSPHATE INSECTICIDES IN MAGETAN DISTRICT, EAST JAVA, INDONESIA Susi Nurweni; Hari Kusnanto; Prima Widayani; Sitti Rahmah Umniyati
Indonesian Journal of Environmental Sustainability Vol. 3 No. 1 (2025): June 2025
Publisher : Center for Environmental Studies, Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ijes.v3i1.7652

Abstract

Dengue haemorrhagic fever (DHF) is one of the infectious diseases transmitted through the mosquito vector Aedes sp. Dengue disease management is still aimed at controlling the vector (Aedes aegypti) using organophosphate insecticides malation and temefos. In Magetan District, there is no report on the resistance of Ae. aegypti to organophosphate insecticides or mapping of Ae. aegypti resistance to these insecticides. The results of this research are determine the resistance of Ae. aegypti to organophosphate insecticides. The resistance system was established by biochemical test based on the activity of non-specific esterase enzyme against organophosphate insecticides in Magetan District using Arc GIS tool. The results of this study showed that Ae. aegypti in four working areas of Candirejo Health Centre from 14 villages 10 villages (71.42%) have been resistant to organophosphate insecticides, while in Taji from 11 villages 7 villages (63.63%) are resistant, in Plaosan 100% are resistant and in Ngujung from 7 villages, 3 villages (42.28%) are resistant.  The use of insecticides for a long period of time is not effective in eliminating dengue fever vectors because it can cause resistance. Based on the results of this study, it is necessary to monitor and evaluate the use of insecticides in dengue vector control as a programme at the Magetan District Health Office, so that the right insecticide can be selected for Ae. aegypti control.
Implementing Support Vector Machine Algorithm for Early Slum Identification in Yogyakarta City, Indonesia Using Pleiades Images Widayani, Prima; Fadilah, Achmad; Irawan, Irfan Zaki; Ghosh, Kapil
Forum Geografi Vol 37, No 1 (2023): July 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v37i1.15248

Abstract

Slums are one of the urban problems that continue to get the attention of the government and the city of Yogyakarta. Over time, cities continue to experience changes in land use due to population growth and migration. Therefore, it is necessary to monitor the existence of slums continuously. The objectives of this study are to conduct early identification of the slum using the Support Vector Machine (SVM) Algorithm, which is applied to the Pleiades Image in parts of Yogyakarta City, to test the accuracy of the slum mapping results generated from the SVM compared to the Slum Map of the KOTAKU Program. The data used are Pleiades Image, administrative maps, and existing slum maps of the KOTAKU Program, which are used to test the accuracy. The method used is Machine Learning with a Support Vector Machine Algorithm. The parameters used for early identification of the slums are the characteristics of the object (characteristics of buildings), settlement (density and shape), and the environment (location and its proximity to rivers and industries). We separate slum and non-slum based on texture, morphology, and spectral approaches. Based on the accuracy test results between the SVM classification results map of the slum and the map from the KOTAKU Program, the accuracy is 86.25% with a kappa coefficient of 0.796.
Analisis Kualitas Ekologi Perkotaan Berbasis Data Penginderaan Jauh di Kota Bandung Tahun 2023 Mahendra, Auzaie Ihza; Murti Budi Santosa, Sigit Heru; Widayani, Prima
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 22 No. 1 (2024): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v22i1.70337

Abstract

Urbanization has consequences for the urban environment, such as environmental pollution, which has a direct impact on the quality of urban ecology. In monitoring the quality of the urban environment, RSEI is one method that can be used. This study aims to assess the quality of urban ecology using RSEI in Bandung City in 2023 during the rainy season and dry season. RSEI combines four main indicators in the form of NDVI, WET, NDBSI, and LST from Landsat 8 and 9 image data analyzed using the PCA method. The results showed that image recording in both seasons greatly affected the RSEI results, where RSEI had better conditions during the rainy season than the dry season in terms of area and spatial distribution. This was evidenced by the RSEI area in the good and very good categories tending to be higher during the rainy season.Keywords: Urban Ecological Quality, RSEI, Landsat
The importance of spatial analysis in health studies Widayani, Prima
JKKI : Jurnal Kedokteran dan Kesehatan Indonesia JKKI, Vol 15, No 2, (2024)
Publisher : Faculty of Medicine, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/JKKI.Vol15.Iss2.art2

Abstract

Co-Authors Achmad Fadhilah Achmad Fadilah Ade Febri Sandhini P Agatha Andriantari Agus Joko Pitoyo Akmal Hafiudzan Akmal Hafiudzan Andung Bayu Sekaranom Arief Wicaksono Arrafi, Muhammad Bagus Wiratmoko Bowo Susilo Dewi Miska Indrawati Dyah Kusuma, Dyah Edi Suharyadi Erika Yuliantari Fadilah, Achmad Fathilda, Intan Khaeruli Febrianti, Ni Kadek Oki Ghosh, Kapil Hamim Zaky Hadibasyir Hari Kusnanto Hidayatullah, Faqih Huwaida Nur Salsabila Indrawati, Dewi Miska Ira Nurmala Hani Irawan, Irfan Zaki Irfan Zaki Irawan Irfan Zaki Irawan Irsan, Laode Muhamad Iswari Nur Hidayati Kapil Ghosh Kusbaryanto Mahendra, Auzaie Ihza Mizan, Rahmat azul Muhammad Arrafi Muhammad Kamal Muhammad Kamal Muhammad Minan Chusni Muhammad Sufwandika Wijaya Muhammad Sufwandika Wijaya Muhammad Sufwandika Wijaya Murti Budi Santosa, Sigit Heru Ni Kadek Oki Febrianti Nur Mohammad Farda Nur Mohammad Farda Nurbandi, Wahyu Nurhadi, Muhammad Nurul Astuti, Nurul Nurweni, Susi Nurwita Mustika Sari Nurwita Mustika Sari Projo Danoedoro Projo Danoedoro Projo Danoedoro R. Suharyadi Ramadhan Pasca Wijaya Rina Febriany Sandy Budi Wibowo Sanjiwana Arjasakusuma Sanjiwana Arjasakusuma, Sanjiwana Santosa, Sigit Herumurti Budi Seandrasto Abi Kharis Wardhani Shandra S Pertiwi Sigit Heru Murti Sitti Rahmah Umniyati Sudaryatno Sudaryatno Sugeng Juwono Mardihusodo Suherningtyas, Ika Afianita Totok Gunawan Totok Wahyu Wibowo Tri Wulandari Kesetyaningsih Ulfa Aulia Syamsuri Vandam Caesariadi Bramdito Wahyu Nurbandi Wiratmoko, Bagus Wirayuda, I Kade Alfian Kusuma Zahrotunisa, Siti